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INSTITUTE OF TECHNOLOGY OF CAMBODIA
CONSORTIUM MEETING
INTERNATIONAL SUPPORT
PERSPECTIVE & STRATEGY 2021-2022
30 March 2021
1
Table of Contents
1 Introduction .............................................................................................................................. 2
2 Perspective and Strategies ......................................................................................................... 2
2.1 Perspectives .................................................................................................................................. 2
2.2 Strategy of ITC ............................................................................................................................... 3
3 Perspectives and Action Plan for 2021-2022 ............................................................................... 3
3.1 Increase number of PhD staff, number of students and number of laboratories ........................ 3
3.2 Curriculum Modification and Improvement ................................................................................. 4
3.3 Proposing Bachelor of Engineering program in Applied Mathematics and Statistics .................. 7
3.4 Establishing Master of Engineering in Data Science ................................................................... 10
3.5 Program of Study in the Department of Food Engineering ........................................................ 13
3.6 Establishing Start-Up Center ....................................................................................................... 17
3.7 Establishing Faculty of ICT & Cyber University ........................................................................... 18
3.8 Establishing Faculty of Applied Science ...................................................................................... 18
3.9 Pedagogy ..................................................................................................................................... 18
3.10 Quality Assurance ..................................................................................................................... 19
3.11 Capacity Building of Faculty Staffs ............................................................................................ 19
3.12 Project Implementation and submission .................................................................................. 20
3.13 Promotion of Graduate School ................................................................................................. 38
3.13.1 Master Programs ............................................................................................................... 41
3.13.2 Doctoral Program .............................................................................................................. 43
3.14 Promotion of Research and Innovation .................................................................................... 44
3.15 Promotion of Industrial Linkage ................................................................................................ 45
3.16 Promotion of Incubation and Start-Up ..................................................................................... 46
3.17 Promotion of Library, Cyber University and Multimedia Centre .............................................. 47
3.18 Promotion of Soft Skills ............................................................................................................. 48
4 Challenges .............................................................................................................................. 48
5 Annexes .................................................................................................................................. 49
2
1 Introduction
Since its establishment in 1964, the Institute of Technology of Cambodia (ITC) has received
greater recognition for its successes and achievements in serving the country through human
resources development, institutional capacity building and working intensely on the
economic and infrastructure development of Cambodia. ITC, for more than four decades, has
established a link between the French and English speaking networks in the region and in the
world. With its numerous collaborators, administrators, students, faculty staffs and alumni,
this institution offers a unique multilateral context for an exchange of views with ministries,
local authorities, NGOs, the private sectors and partner institutions.
ITC has a mission to train students with high-quality education in the fields of engineering,
sciences and technologies and to develop innovative technology transfer. Students are
provided with a strong scientific base and technical know‐ how and skills which allow their
integration and evolution in the labor market. Based on the decision of the annual board
meeting, the future orientation of ITC is to expand the engineering education area and
develop research platforms in order to sustain the development of the country. This requires
strengthening the basic scientific knowledge, developing research programs in connection
with the private sectors and national and international stakeholders, supporting communities,
fostering economic development through entrepreneurship programs, and helping our
graduate students integrating the global economy. Ultimately, it is important for ITC to keep
its own identity of a multilingual institution maintaining and expanding a network with
French and English speaking universities, to provide an education that motivates teaching
staffs and students, stimulates creativities and inspires future ambitions, and to develop an
internationally recognized research in adequacy with the needs of the society.
2 Perspective and Strategies
2.1 Perspectives
To become a leading institution with efficiency and excellence offering the academic,
research, science, technology, innovation and engineering in technology transfer to the
community.
ITC has adopted the new Strategic Plan (2021-2030) based on the Rectangular Strategy
(Phase IV) of the government together with the National Strategic Development Plan (2019-
2023). This Strategic Plan will provide directions for effective implementation of the Action
Plans and address the challenges in order to improve the engineering education quality in a
competitive environment.
Two main objectives of ITC Strategic Plan (2021-2030) to be reached by 2030 are as follows:
1- To train 17200 students with high qualification towards the Cambodia Vision 2030
2- To implement 175 applied projects with technology transfer and start-up for
harmonization and development towards the Cambodia Vision 2030
3
2.2 Strategy of ITC
ITC has developed 5 main strategies to meet the 10 year objectives as follows:
1- Establish and apply academic program responding to the market needs with national
and international recognition
2- Develop human resources and modernize technology for good governance,
management and financial affairs
3- Develop physical infrastructure and modernize the laboratories
4- Establish the investment projects and applied research projects targeting to start-up
and technology transfer
5- Modernize the data information system for dissemination of activities and results to
the communities
3 Perspectives and Action Plan for 2021-2022
3.1 Increase number of PhD staff, number of students and number of laboratories
Currently, the number of PhD academic staff at ITC is 89 PhD. In spite of this significant
number, it is still needed to accomplish the ITC 10 Strategic Plan (2021-2030) for promoting
engineering education quality, research and innovation development at ITC. Therefore, we
must increase the number of PhD faculty. Three main activities will be taken into account:
Establish international collaboration with existing and new partners for scholarship
opportunity for students and faculty.
Encourage faculty’s member who hold the master’s degree to directly apply for PhD
study at ITC. This can be achieved by encouraging them to join in a research project
through the Higher Education Improvement Project (HEIP) which will be co-funded by
Royal Government of Cambodia and World Bank.
Modernize and establish new laboratories through the implementation of Lab based
education (LBE) project and higher education improvement project (HEIP)
Table 1: Number of students, PhD staff, lab for baseline 2021 and projected 2023
Department Indicator 2021 Indicator by 2023
No. Eng.
(Tech.)
Student
No. PhD
staffs
No. Lab
(Research
Lab)
No. Eng.
(Tech.)
Student
No. PhD No. Lab
(Research
Lab)
FY 2949 2 3 (0) 3000 3 6(1)
GCA 392(169) 14 11(2) 690(250) 18 13(4)
GCI 550(173) 16 3(1) 650(220) 18 3(2)
GEE 357(172) 14 9(5) 480(200) 20 12(5)
4
Department Indicator 2021 Indicator by 2023
GGG 163 13 6(3) 200 13 7(3)
GIC 175 2 7(3) 250 4 7(4)
GIM 352(64) 12 10(4) 560(130) 14 6(5)
GRU 289 16 5 500(100) 20 5
Graduate
Student
146
(92 master)
54 PhD)
120
Total 5373(578) 89 54(17) 6200 (900) 111 49(25)
3.2 Curriculum Modification and Improvement
Modify curriculum of foundation program (year 1 and year 2)
To promote retention rate of students in foundation year program, ITC adopted the policy that
students are allowed to choose their major from the first year (adopted in 2018), which is in
contrast to previous policy that they could only choose the major “they love” at the end of
year 2, depending on their academic performance. To equip students with necessary
foundations, especially in Mathematics, computer programming and natural sciences, and to
avoid taking “less relevant” courses, the Department of Foundation Year proposes to modify
the curricula of year 1 and year 2 so that students can take necessary courses that most
relevant to their future major. In year 2, student will select courses to study according to
major group or faculty they belong to. The proposed modified curriculum is in Annex 1.
Industrial & Mechanical Engineering Department
GIM has updated the CURRICULUM Associate Degree of Mechanical and Plumbing
System, 2022-2023 (Table 2).
Table 2: Curriculum for Associate Degree of Mechanical and Plumbing System, 2022-2023
Subjects Number of hours (Lecture,
Exercise, Practice) Number of credits
Code Group: 1A 2A Total
Lect
ure
Exer
cise
Prac
tice
To
tal
Semester: I II I II
GIMT11
MTH Mathematics 48 48 1 1 2
GIMT11I
NF Informatique 48 48 1 1 2
5
Subjects Number of hours (Lecture,
Exercise, Practice) Number of credits
GIMT11D
ES Technical drawing 48 48 1 1 2
Electrical and Electronics
(Refer to Manufacturing
Curriculum)*
48 48 1 1 2
GIMT12ELT Electrotechnics (Circuits) 48 48 1 1 2
GIMT12
MEC Mechanics 48 48 1 1 2
GIMT11T
TD Heat Transfer 48 48 1 1 2
Fluid Mechanics* 48 48 1 1 2
GIMT21SHP
Hydraulics and Pneumatics
Systems
4
8 48 1 1 2
Thermodynamics* 6
4 64 2 1 3
Fundamental of
Refrigeration* System
4
8 48 1 1 2
GIMT12
MTH Internal combustion engine 4
8 48 1 1 2
GIMT21
MDM Maintenance of Machines 4
8 48 1 1 2
GIMT12D
AO AutoCAD 8
0 80 1 2 3
Project Management* 4
8 48 3 3
Total T1-GIM 18 4 11 33
GIMT21RST Internship Report 2 2
(AC, Plumbing and Fire
Fighting) Projects*
8
0 80 1 2 3
GIMT21FCL
Refrigeration and Air
conditioning (Maintenance
and Installation)
8
0 80 1 2 3
Plumbing System in
Buildings
4
8 48 1 1 2
Safety and Fire Fighting
System
4
8 48 1 1 2
GIMT21SMS Welding Technology
8
0 80 1 2 3
6
Subjects Number of hours (Lecture,
Exercise, Practice) Number of credits
Health and Safety at
Workplace
4
8 48 3 3
GIMT22S
FE Final year internship
3
8
4
384 9 9
Total T2-GIM 8 2 17 27
Total per semester 384
3
8
4
3
8
4
3
8
4
1536 26 6 28 60
Total general 768 768 1536
International Program on Industry and Supply Chain Management in
cooperation with ECAM-Lasalle de Lion
In 2016, Cambodia shifted from the status of a less advanced country to that of a lower
middle-income country. Dominated until recent years by textiles industry, its economy is
now geared towards the manufacturing sector (in the electronics and automotive industries).
The country must anticipate the need for high-level engineers and executives, able to lead the
manufacturing sector towards the 4th Industrial Revolution (digitalized innovation,
mechatronics, supply chain and logistics), with a special focus on preserving resources (raw
materials, energy, water, waste and by-products).
Department of Industrial and Mechanical Engineering at ITC wishes to collaborate with
ECAM LaSalle in the field of Industrial and Mechanical Engineering through the ECAM
Engineering Program. ITC will be Cambodia’s first school to offer a French degree within
the national territory, making it more appealing to both Cambodian students and those from
neighboring countries.
This program aims to meet the needs of industry 4.0 in Cambodia and South-East Asia by
training students to incorporate digital technology into the manufacturing and logistics
management processes based on a circular economy approach with minimal environmental
and social impact.
It meets the constraints of emerging countries, which are confronted with increased industrial
production that must comply with sustainable development requirements.
Three keys departments of ITC are involved in the project: Electrical and Energy
Engineering, Industrial and Mechanical Engineering, and Information and Communication
Engineering.
Setting up the ECAM Engineering program at ITC
Opening in September 2021, this new curriculum is designed based on expertise from both
schools. It is a dual degree for master’s degree (ECAM Engineering + Master’s from ITC) in
7
which the medium of instruction is English and/or French (students must obtain a B2 level at
the end of the program).
3.3 Proposing Bachelor of Engineering program in Applied Mathematics and
Statistics
The intention of ITC to offer Bachelor degree in Applied Mathematics dated back in year
2010. However, due to constraints on both physical facility and human resources, this has not
been realized until now. Currently, the need of skills in applied mathematics and statistics is
growing in Cambodia as social and economic problems become more complex and data
become more available and cheaper, while people with the ability to model the problems
mathematically and statistically, ability read and turn the available data into business profits
are scarce in Cambodia as well as in the region. The digitalization of national economy,
challenge in IR 4.0 and current sanitary crisis of Covid -19 encourage the increase the
demand of human resources competent in the field of applied mathematics, statistics, data
science and finance.
Engineering program in Applied Mathematics and Statistics
Major: Applied Mathematics and Statistics (AMS)
Option 1: Minor in Data Science
Option 2: Minor in Finance
Program Educational Objectives (PEOs)
After successful graduation, students will be equipped not only with advanced mathematical
and statistical tools but will also acquire skill set needed to apply mathematics and statistics
towards problems in engineering, industry, technology, business and finance. Furthermore,
the graduates will be able to:
8
PEO-1. Have solid knowledge, technical skills and competency for a successful career in
applied mathematics, statistics business and finance, and related disciplines.
PEO-2. Engage and succeed in their professional careers through dynamic team work,
ethical behaviors and responsibilities, proactive involvement, and effective
communication.
PEO-3. Assume progressively managerial, leading, and influential roles in their
(multidisciplinary) organizations and communities.
PEO-4. Demonstrate a full awareness of the importance of and a strong commitment to
pursue life-long learning through professional development, practical training, and
specialized certifications.
PEO-5. Pursue higher education to obtain advanced degrees and succeed in academic and
research careers in mathematics, statistics or related areas.
Program Learning Outcomes (PLOs)
The curriculum of BEng. in Applied Mathematics and Statistics has two minor options: (1)
Data Science and (2) Financial Mathematics. These skills are highly demanded and trending
in Cambodia and the globe. The curriculum is designed by collaboration of the
mathematicians, statisticians, engineers and data scientists from the Department of
Foundation Year and Department of Information and Communication of ITC and from
academic partner institutions, Télécom SudParis (TSP) and Ecole nationale supérieure de
l’informatique pour l’industrie et l’entreprise (ENSIIE), France. Upon successful completion
of the requirements of the degree, students will:
Knowledge
PLO-01. Have broad knowledge and understanding of the theories, principles, methods, and
techniques used in mathematics, statistics and data science/finance to solve real-
world engineering and business problems.
PLO-02. Be able to identify the (substantive) problems or questions that can be addressed
using specific data sets.
PLO-03. Have substantive knowledge of the entrepreneurial potential of data science/finance.
PLO-04. Have knowledge and understanding of the types of data-related/financial problems
that businesses and (semi-)governmental organizations deal with.
Cognitive skills
PLO-05. Be able to store and manage data in a way that allows for data exploration and
analysis (building information platforms).
9
PLO-06. Be able to apply a broad set of methodological, computational, programming, and
software techniques and tools for data cleaning, data integration, data exploration,
data mining, and data modeling.
PLO-07. Be able to model, analyze and solve real-world business problems mathematically
and statistically.
PLO-08. Be able to apply an interdisciplinary perspective to problems in data
science/finance.
Psychomotor skills
PLO-09. Be able to approach mathematics and statistics problems or questions with ease,
curiosity, creativity, and an enterprising spirit. Graduates are independent thinkers.
Interpersonal skills and responsibilities
PLO-10. Have the independent learning skills necessary to successfully continue their study
at postgraduate level.
PLO-11. Be able to demonstrate management skills and apply scientific principles to one’s
own work, as a member and/or leader in a team to manage projects in a
multidisciplinary environment.
PLO-12. Use their own experience to work on solving actual data/financial problems tackling
them from a broad, interdisciplinary perspective in combination with specialist
expertise, knowledge and skills.
Communication, information technology and numerical skills
PLO-13. Be able to visualize their results and present them in a clear way to specialists and
non-specialists.
PLO-14. Have good communication skills (oral and written) and are able and willing to
communicate their work to specialists and non-specialists.
PLO-15. Have sufficient skills in mathematics, statistics and computer programming
languages to address the problems in data science/finance.
For detail curriculum of BEng. In Applied Mathematics and Statistics, see Annex 2
For course description of BEng., see Annex 3.
10
3.4 Establishing Master of Engineering in Data Science
1-Description of Program.
The Master of Engineering in Data Science, a 54-credit degree program, is intended for
students who have completed undergraduate degrees in science, mathematics, computer
science or engineering and are interested in pursuing careers in industry-specific analytical
fields (e.g. technology, pharmaceutical, research, government, public health,
entrepreneurship, finance, business, etc.).
The Master of Engineering of Data Science degree program uses real-world problems and
situations to prepare graduates for roles as strategic thought leaders who leverage predictive
modeling to drive decision making. Students will develop in depth understanding of the key
technologies in data science and business analytics: data mining, machine learning,
visualization techniques, predictive modeling, and statistics. Students will practice problem
analysis and decision-making. Students will gain practical, hands-on experience with
statistics programming languages and big data tools through coursework and applied research
experiences.
2-Program Educational Objectives (PEOs)
Graduates of the Master of Engineering in Data Science will:
PEO-1. Have solid technical knowledge and competency for a successful career in statistics
and data science, well-versed in the organization, treatment, visualization,
interpretation, analysis, inference and analytics of big data.
PEO-2. Engage and succeed in their professional careers through dynamic team work,
ethical behaviors and responsibilities, proactive involvement, and effective
communication.
PEO-3. Assume progressively managerial, leading, and influential roles in their
(multidisciplinary) organizations and communities.
PEO-4. Demonstrate a full awareness of the importance of and a strong commitment to
pursue life-long learning through professional development, practical training, and
specialized certifications.
PEO-5. Pursue doctoral studies and succeed in academic and research careers.
3-Program Learning Outcomes (PLOs)
The curriculum of Master of Engineering in Data Science is designed by the collaboration of
mathematicians, statisticians, engineers and experts in the field of Data Science. It aims to
provide students a set of knowledge and technical skills that deal with large-size data and can
be applied in a variety of disciplines including business and finance. Upon successful
completion of this major, graduates will:
11
Knowledge
PLO-01. Have broad knowledge and understanding of the theories, principles, methods, and
techniques for data storage, integration, handling, and processing (i.e. design, data
mining, process mining, mathematics, statistics, informatics and business analytics).
PLO-02. Have in-depth knowledge and understanding of theories, principles, methods, and
techniques from specific data science domains and areas.
PLO-03. Be able to identify the (substantive) problems or questions that can be addressed
using specific data sets.
PLO-04. Have substantive knowledge of the entrepreneurial potential of data science.
PLO-05. Have knowledge and understanding of the types of data-related problems that
businesses and (semi-)governmental organizations deal with.
Cognitive skills
PLO-06. Be able to store and manage data in a way that allows for data exploration and
analysis (building information platforms).
PLO-07. Be able to apply a broad set of methodological, computational, programming, and
software techniques and tools for data cleaning, data integration, data exploration,
data mining, and data modeling.
PLO-08. Be able to apply quantitative modeling and data analysis techniques to the solution
of real-world business problems
PLO-09. Be able to apply an interdisciplinary perspective to data science problems.
Psychomotor skills
PLO-10. Be able to approach data science problems or questions with ease, curiosity,
creativity, and an enterprising spirit. Graduates are independent thinkers.
Interpersonal skills and responsibilities
PLO-11. Have the independent learning skills necessary to successfully continue their study
at the doctoral level.
PLO-12. Graduates have the ability to work effectively in groups and multidisciplinary
environment.
PLO-13. Graduates are able to assess the quality, limitations, and potential of data sets,
interpret and understand the results from their analyses.
12
PLO-14. Graduates know from their own experience how to work on solving actual data
problems tackling them from a broad, interdisciplinary perspective in combination
with specialist expertise, knowledge and skills.
Communication, information technology and numerical skills
PLO-15. Be able to visualize their results and present them in a clear way to specialists and
non-specialists.
PLO-16. Have good communication skills (oral and written) and are able and willing to
communicate their work to specialists and non-specialists.
PLO-17. Have sufficient skills in mathematics, statistics and computer programming
languages to address the problems in data science.
For detail curriculum of Master in Data Science, see Annex 4.
For course description of Master in Data Science, see Annex 5.
5-Human Resource and Planning
Degree\Year 2021 2022 2023 2024
Doctor 6 7 8 9
Master 10 12 14 16
Total 16 19 29 25
Human resources at ITC for BEng. Applied Mathematics and Statistics; Master of
Data Science are listed in Annex 6.
6-Laboratory, facilities and planning
No. Item Unit
(2021)
Unit (2022)
1 Room 2 4
2 Desktop (PC) 62 124
3 Laptop (1 Mac and 1 Window) 2 4
4 Software Program (Python, Matlab, R) 62 124
5 LCD Projector 2 2
6 Air Condition 4 8
7-Supporting Project and Partnership
Currently, we are implementing HEIP project. The duration of the project is three
years, from November 2020 to March 2024. The objectives of the project are:
13
To establish a new undergraduate engineering program in Applied Mathematics in
Data Science and Financial Mathematics at ITC with the help and support on
Télécom SudParis and ENSIIE on the French side,
To establish a new master program in Data Science at ITC with the help and
support on Télécom SudParis and ENSIIE on the French side,
Both BEng. in Applied Mathematics and Statistics and Master Program in Data Science have
academic supports from Institut Mines Telecom-IMT (mainly Télécom SudParis-TSP) and
Ecole Nationale Supérieur d’Informatique pour l’Industrie et l’Entreprise-ENSIIE, France.
Annex 7 provides the list of professors and experts who support curriculum designs and are
willing to teach for both programs.
3.5 Program of Study in the Department of Food Engineering
1. Aim of Study Program
Under the Faculty of Chemical and Food Engineering, there exist two options, Chemical
Engineering and Food Science and Technology. In the framework of ADB project, there are
two manufacturings to be mainly focused, (1) mechanical manufacturing and (2) food
manufacturing. The construction and set-up of Hall Technology of Food Processing and
concernint laboratories is currenlty on-going. In order to align in the framework of ADB
project, Food Science and Technology option will be named as “Department of Food
Engineering”. The program is set up to provide the knowledges and skills (teories and
practices) concerning food chemistry, food processing and preservation, and food product
develpment. It also includes the management of food quality and safety, food analysis
covering physico-chemical, nutritional and microbiological analysis and also other chemical
contaminants. Students will also obtain other knowledge of automation and control, agro-
food industrial management, project amangement and entrepreneurship.
2. Study Program of Department of Food Engineering
Programe of Engineer
Students will spend three years at the Department of Food Engineering consisting of six
semesters. For the details of each semisters, course subjects are presented in Tables below.
3rd-year: Semester 1
No Subjects Course TD TP Total
hours Credits
1 French 64 64 2
2 English 32 32 1
3 Statistics 16 32 48 2
4 Fundamental Chemistry 32 16 48 96 4
5 Heat and Mass Transfer 48 32 80 4
6 Physical Chemistry 16 20 12 48 2
7 Unit Operation I 32 32 2
14
Total Semester 1 144 164 92 400 17
3rd-year: Semester 2
No Subjects Course TD TP Total
hours Credits
1 French 32 32 1
2 English 64 64 2
3 Analytical Chemistry 32 32 64 3
4 Numerical Method 16 32 48 2
5 Unit Operation II 32 20 12 64 3
6 General Microbiologgy 32 32 2
7 Fluid Mechanics 32 16 16 64 3
8 Internship 2
Total Semester 2 144 132 92 368 18
4th-year: Semester 1
No Subjects Course TD TP Total
hours Credits
1 French 32 32 1
2 English 32 32 1
3 Food Microbiology 32 32 64 3
4 Biochemistry 32 32 64 3
5 Nutrition and Health 32 32 2
6 Food Preservation I 64 64 4
7 Food Chemistry 32 32 64 3
8 Genetics 32 32 2
Total Semester 1 224 64 96 384 19
4th-year: Semester 2
No Subjects Course TD TP Total
hours Credits
1 French 32 32 1
2 English 32 32 1
3 Biotechnology 48 32 80 4
4 Food Processing I 48 32 80 4
5 Packaging and Packing 32 32 2
6 Food Preservation II 32 32 2
7 Food Risks 48 48 3
8 Water Chemistry 16 8 24 48 2
Total Semester 2 224 72 88 384 19
5th-year: Semester 1
No Subjects Course TD TP Total
hours Credits
1 French 32 32 1
2 English 32 32 1
3 Agro-Food Industry Management 32 32 2
4 Sensory Evaluation 32 32 2
15
5 Project Management 32 32 2
6 Food Processing II 80 32 112 6
7 Entrepreneurship 32 32 2
8 Quality Assurance 32 32 2
9 Automation and Control 32 32 2
10 Food Product Development 64 64 4
Total Semester 1 336 64 32 432 24
5th-year: Semester 2
No Subjects Course TD TP Total
hours Credits
1 Graduation Internship 9
Total Semester 2 9
Program of Technician
Concerning the Technician Program, students will spend two year to obtain the Diploma of the
Associate Degree of Food Engineering. The detailed program is presented as following:
1st-year: Semester 1
No Subjects Course TD TP Total
hours Credits
1 General Chemistry 32 16 32 80 3.5
2 Analytical Chemistry 32 16 32 80 3.5
3 Food Chemistry 16 16 48 80 3
4 Biochemistry 32 0 0 32 2
5 Mathematics 16 32 0 48 2
6 Technical Drawing 16 0 32 48 2
Total Semester 1 144 80 144 368 16
1st-year: Semester 2
No Subjects Course TD TP Total
hours Credits
1 Unit Operation 48 20 12 80 4
2 General Microbiology 32 0 0 80 2
3 Food Preservation 64 0 0 80 4
4 Water Chemistry 32 8 24 32 3
5 Physical Chemistry 32 8 24 48 3
6 Internship 2
Total Semester 2 208 36 60 304 18
2nd-year: Semester 1
No Subjects Course TD TP Total
hours Credits
1 Food Microbiology 32 0 32 80 3
2 Biotechnology 32 0 0 80 2
3 Food Processing 96 0 64 80 8
4 Quality Assurance 48 0 0 32 3
5 Food Safety 48 0 0 48 3
Total Semester 1 256 0 96 352 19
16
2nd-year: Semester 2
No Subjects Course TD TP Total
hours Credits
1 Graudation Internship 9
Total Semester 2 9
3. Human Resource of Department of Food Engineering
The department has currently 28 lecturers (22 full time and 6 part time lecturers) to support
the program with 14 PhD title holders and 14 Master title holders.
Detailed information of lecturers of Department of Food Engineering
N Name Sex Major Degree/Diploma Country
Lecturer type
Full
Time
Part
Time
1 IN Sokneang F Food Engineering PhD France X
2 MITH Hasika M Food Science PhD Belgium X
3 TAN Reasmey F Bio-Engineering PhD Japan X
4 TY Boreborey F Environmental
Engineering PhD Philippines X
5 SUONG Malina F Molecular Biology PhD France X
6 PHAT
Chanvorleak F Food Chemistry PhD South Korea X
7 YOEUN Sereyvath M Biotechnology PhD South Korea X
8 KHEOURN
Kimleang F
Environmental
Engineering PhD Japan X
9 MEAS Marin M Mechanical
Engineering PhD USA X
10 UNG Porsry M Environment
Engineering PhD Japan X
11 SIEV Sokly M
Civil and
Environmental
Engineering
PhD Japan X
12 PENG Chanthol F Life Science and
Technology PhD Japan X
13 HOR Sivmey F
Physicochemistry
and Food
Biochemistry
PhD France X
14 HOUNG Peany F Chemical Science
and Enginering PhD Japan X
15 KAING Sovanna F Science in
Chemistry Master Degree Russia X
17
16 Bonn Meak M Chemical
Engineering Master Degree Japan X
17 LUON Vireak M
Agro-Food
Industrial
Management
Master Degree France X
18 PHOEURN
Vuthamary F
Food Quality
Management Master Degree France X
19 TAING
Chanreasmey F
Environmental
Engineering Master Degree Japan
X
20 YIT Sourkea M Food Science Master Degree France X
21 PHAL Sophoan F Packaging
Technology Master Degree Thailand X
22 SUN Buntha F Food Seience Master Degree Thailand X
23 HENG Soukim F Food Seience Master Degree Thailand X
24 SIENG Sreyvich F Chemical
Engineering Master Degree Indonesia X
25 MOM Vattana F Food Science Master Degree Thailand X
26 CHANTO
Monychottepy F
Environmental
Design Master Degree Japan X
27 CHIN Lyda F Agro-Industrial
Product Develpment Master Degree Thailand X
28 KONG Sela M Chemical
Engineering Master Degree Indonesia X
3.6 Establishing Start-Up Center
The Start-Up Center will be established with the proposed structure as following:
Fab Lab
Incubation Start-Up
Innovation and Business Factory
Fab Lab and Incubation Start-Up are financially supported by the WB and ADB projects.
Innovation and Business Factory is in progress with support from SIREA.
18
3.7 Establishing Faculty of ICT & Cyber University
The faculty of ICT and Cyber University will be established with the proposed structure of 3
departments and one center. Currently, two departments (ICT and Telecommunication) are
operating and more activities are progressing and structuring in the department of multimedia
and Digital Education Center.
Department ICT (existing)
Department telecom (existing)
Department of multimedia (structuring with activity ongoing)
Digital Education Center (funded by PB , WB & AUF)
3.8 Establishing Faculty of Applied Science
The Faculty of Applied Science will be established with the proposed structure of 3
departments.
Department of Foundation year
Department of Applied Mathematics (with support from Université de Paris Sud)
Department of Applied Physics (with support from L’École Nationale Supérieure
d’Informatique pour l’Industrie et l’Entreprise)
3.9 Pedagogy
Implement Fab-lab (through HEIP project)
Implement Lab-based education (through JICA project)
Increase hand-on practice in the lab and field
Introduce e-learning classes (encourage staff to develop more E-Learning courses)
Language reform for 2020-2021:
o The basic French language will be maintained for 1st, 2nd, 3rd and 4th year
Students. While the teaching of English will be kept as it is for the moment.
o Evening and/or weekend French classes (intensive courses) would be
organized to reach levels B1 and B2. These courses will be reserved for
students and teachers wishing to continue their studies abroad: dual degree,
Master, PhD, etc.
o Adopt lecturer’s criteria for teaching level A1, A2, B1, etc.
o Recruitment of lecturers with high qualification
o Use quality textbooks
o Lecturer training on textbook usage should be implemented
o Accompany the students who have not reached level A2 and support students
from Technician’s Degree to catch up the level
o Best students in language should be encouraged.
19
3.10 Quality Assurance
Strengthen the internal quality assurance system
Enhance the capacity of internal quality assurance official
Make internal assessment mechanism to monitor and evaluate educational quality
Provide the students to assess qualification of teaching staff by evaluation sheet
(twice a year)
Concentrate on the information, data analysis concerning to learning, teaching and
academic program in order to find out strengths and weakness and to raise
recommendation to make reform
Make internal self-assessment report
Provide the assessment in educational training application from external circle like
from ACC as well as from Higher Educational Department General (MoEYS)
Require regular staff meeting to discuss the challenges and find proper
solution/improvement
Require regular meeting to raise and solve problems in teaching and learning
All lecturers are advised to check the performance of students regularly by having
quizzes, assessments, presentations, mid-term exam and final exam.
Join training with ACC, DGHE and HEIs relevant to develop IQA
Join every meeting and activities related to IQA at ITC
Improve assessment tool and assessment mechanism for good IQA
Make action plan to develop IQA guideline including action to strengthen and
develop capacity of ITC staff
Manage Seminar/Workshop related to QA, Learning and Teaching.
3.11 Capacity Building of Faculty Staffs
Capacity building of staff is one of the main priorities at ITC through sending faculty staffs to
abroad for enhancing/sharing experiences in teaching, scientific research and soft skill
development through university partnership, exchange program etc., and vice versa. The
inbound and outbound of staff capacity building is detail in the Table 3 and 4.
Table 3: Inbound staff for capacity building 2020-2021
No. Skill/Department Partners Financial support Remarks
1 Food Science and
Engineering
INP toulouse, Monpelier Foodstem
2 Nutrition Vrije Universiteit
Amsterdam
Erasmus KA1
3 Reservoir geology,
Seismic Exploration
TOTAL Cambodia TOTAL Cambodia
4 Geophysics exploration in
petroleum sector;
Petroleum Engineering
KrisEnergy KrisEnergy
5 Solid waste management Griffith University
Australia
Griffith University
Australia
6 HydroGeoPhysics IRD IRD
7 LandSage software
prototype
Mahidol University Asi@Connect
8 Water and Environment
Living Lab
IRD, G-eau IRD
20
9 Water Resources UNESCO UNESCO Online
10 Technical training Various AUN/SEED net
11 Journal platform
development, Research
governance
CU, KU, ITB, CURTIN,
INP Toulouse
HEIP
Table 4: Outbound staff for capacity building 2020-2021
No. Skill/Department Partners Financial
support
Remarks
1 Geology/Earth
resources
engineering
Kyushu
University
LBE-JICA
2 Geophysics/Urban
and environmental
engineering
University of
Liege
HEIP; Europe
3 Hydro
geochemistry
TIT JICA
4 Green courses Nantes
University
ERASMUS Plus
5 Waste water ENSGTI -
LaTEP - UPPA
ERASMUS Plus
6 Journal platform
development,
Research
governance
CU, KU, ITB,
CURTIN, INP
Toulouse
HEIP
3.12 Project Implementation and submission
For 2021-2022, there are project which are accepted and ongoing implemented through
funding from HEIP World Bank, LBE-JICA, ADB, and AFD. The projects to be
implemented are presented in Table 5 and the project is proposed in Table 6.
The main actions of LBE project for 2021-2022 are as follows:
1) Implement LBE research projects (15 teams)
2) Send Short term experts from Japanese universities
3) Conduct Workshop and seminars on UIL, LBE, and other topics.
4) Organize 3rd Joint Coordinating Committee Meeting
5) Organize Joint activities with industries
6) Organize Joint activities with Japanese academic societies
21
Table 5: Projects to be implemented in 2021-2022
N
o
Title of project
accepted
Objectives of the project Partner Unit Funding agency
(Erasmus KA1,
Erasmus KA1,
AUN/SEED-Net,
AUF, AFD, ADB,
WB etc.,)
1 Experimental and
Numerical Simulation
Investigation on the
Production Potential
and Strategies of the
Cambodian Offshore
Reservoir Considering
Effects using Phase
Behavior Approach
To investigate the production
potentials of the Cambodian
offshore reservoir.
KrisEnergy Apsara
LTD
ETM HEIP
2 Quality Assurance of
Concrete pile Integrity
and Soil Properties
Investigation in Phnom
Penh City using
Seismic and eEectrical
Resistivity Tomography
Approaches
To reduce the number of borehole
investigation in civil engineering
using near-subsurface seismic and
electrical methods;
To provide a quality assurance of
concrete piles using near-surface
geophysics.
- Liege University,
Belgium
- Matlab Co., Ltd
ETM HEIP
3 Applied Geophysics for
Investigating
Hydrocarbon Potential
and Study of
Depositional
Environment at Block
VIII, Kampong-som
Basin, Onshore of
Cambodia
To intergrade the geophysical and
geological data for investigating the
geological structures related to
hydrocarbon system and
depositional environment in Block
VIII of Kampong-som basin
- Liege University,
Belgium
- Enercam Resources
Cambodia Co., Ltd
ETM HEIP
4 Development of a
Virtual Cambodian
Power System –
Towards an Innovation
Micro-Grid in
Cambodia
To develop a power distribution
grid planning tool and an
educational virtual power
distribution system laboratory with
integration of emulated/real
distributed energy resources and/or
renewable energy sources
(DER/RES) for students/researchers
from both university and industry in
Cambodia
- Institut
Polytechnique de
Grenoble (INPG),
France
- Research Institute for
Development (IRD),
France
-EDC
ETM HEIP
5 Development of
Fermentation Process
To produce Cambodian soy sauce
by fermentation method with good
- Kasetsart University,
Thailand
FTN HEIP
22
of Cambodian Soy
Sauce
quality and transfer the developed
technology of soy sauce to the
private sector.
- Tokyo Institute of
Technology, Japan
- AgroSup Dijion,
France
- Eche Ngov Heng
Food Production of
Kampot Co., Ltd
6 Biotechnology for
Integrated Pest
Management towards
Pesticide Reduction in
Cambodia
To rescue all Cambodian crops from
pest and diseases by integrating
biotechnology into IPM approach
- Ministry of
Agriculture, Forestry
and Fisheries (MAFF)
- Research Institute for
Development (IRD),
France
- The Agricultural
Research for
Development
(CIRAD), France
- ORKIN Cambodia
FTN HEIP
7 Valorization of High-
Value Dry Food
Products (Agricultural
Products including
Herbal and Spices) and
Other by-products in
Cambodia
To set up the drying excellence
center (the pilot scale of drying
processing center) of agricultural
products, by-products, to develop
the capacity building of human
resource on drying technology
(including technology transfer and
industrial collaboration) for
agricultural products in Cambodia.
- SupAgro Monpelier,
France
- AgroSup Dijon,
France
- University Libre
Brussel, Belgium
- Kasesart University,
Thailand
- Rosemoric Company
- Golden Silk
Development
- Ly Ly Food industry
FTN HEIP
8 Improvement and
Development of Rice-
based Products toward
the Growth of
SMEs/Industries in
Cambodia
To set up a rice-based product
development platform, improving
the quality of rice-based products
locally produced and available in
markets and to diversify rice-based
products, human resource
development, and enhancing
collaborative research between
university and SMEs.
- University of Liege,
Belgium
- Kasesart University,
Thailand
- Indochina Rice Mill
Limited
FTN HEIP
9 Development of
Cooking Oil Processes
for Commercialization
To develop cooking oil processes in
order to produce cooking oils with
good quality, to transfer the
technology to private sectors for
commercialization, to develop
cooking oil research platform and to
develop human resource in cooking
oil processing.
Dara Khmer Sacha
Inchi
FTN HEIP
23
10 Improvement and
Development of Fish
and Meat Products for
Better Preservation
using Innovative
Technology
To improve the quality, and add-
value to the existing fish and meat
products which are available on
Cambodian market by applying
different preservation technique
- Nantes-Atlantic
National College of
Veterinary Medicine,
Food Science and
Engineering, France
- KC Food
FTN HEIP
11 Valorization of
Agricultural By-
products in Cambodia
through Extractions and
Formulations of
Essential Oils and
Bioactive Compounds
To identify and screen essential
oils/bioactive compounds in extracts
obtained from varieties of
Cambodia agricultural food
products and wastes; then evaluate
its applicability to be used as
aromatherapy, food preservatives
and active ingredients and to
promote institutional Chemical
Engineering Field, through
university-SME technology
transfers and strengthen university-
university research collaborations.
- Tokyo Institute of
Technology (TIT),
Japan
- VIE International
Co., Ltd
FTN HEIP
12 Ancient Manuscript
Digitization and
Indexation
To be able to accelerate the process
of accessing, preserving, and
disseminating the contents of the
heritage documents in large
quantity, the project also aims at
bringing added value to digitized
palm leaf manuscripts by
developing tools to analyze, index
and access quickly and efficiently to
the content of those Khmer ancient
documents.
- Ministry of Culture
and Fine Art
- Ministry of Cult and
Religion
- National Library of
Cambodia
- École Français
d’Extrême-Orient
(EFEO), France
MIT HEIP
13 Applied Control and
Automation for
Agriculture in
Cambodia (ACAAC)
To conduct and implement the
research on the subjects of control
of electrical motors and autonomous
vehicle for the application in
agriculture.
- Institute National
Polytechnique de
Toulouse, France
- Oben Elevator Co.,
Ltd.
MIT HEIP
14 Toward Production
Innovation via FabLab-
ITC
To implement a quasi-full-equipped
FabLab at ITC which is reliable and
available to everyone, thereby
enabling the concept of Do It
Yourself (DIY)
- Mauso Co.,Ltd MIT HEIP
15 Initiative towards
Electrical and
Electronic Products
Testing and
Certification by EMC
Lab
To establish an EMC testing
laboratory in ITC which will be
main center to test the electrical and
electronic appliances.
- Tokyo Institute of
Technology, Japan
- Institute National
Polytechnique de
Toulouse, France
-Biomedical
Engineering Solution
MIT HEIP
24
and Tech Co., Ltd
16 Cambodian Natural
Rubber Composites
with Different Type of
Mineral Fillers for
Shock Absorbing
Applications
to optimize mechanical and physical
properties of Cambodian natural
rubber composites by varying
common clay mineral and limestone
fillers content for shock absorbing
applications such as floor tile.
- Universiti Sains
Malaysia (USM),
Malaysia
- Ministry of
Agriculture, Forestry
and Fisheries (MAFF)
- Cambodia Rubber
Research Institute
(CRRI)
MSS HEIP
17 Initiative on
Development of the
Wind Load
Requirements for
Design of Building
Structures in Cambodia
To evaluate the wind load and
establish its calculation procedure
associated with low-rise and regular
structures in Cambodia, which can
serve for the structural analysis and
design and to create collaborations
with professionals and private
company (SNP International) by
providing training and workshop on
how to apply the proposed
calculation procedure in practice,
and to promote research activities in
civil engineering at Institute of
Technology of Cambodia (ITC).
- King Mongkut’s
University of
Technology Thonburi
- Ministry of Public
Works and Transport
-SNP International
MSS HEIP
18 Chemical Strengthening
of Large-scale glass
Pieces for Construction
and Other Engineering
Applications
To study on a glass strengthening
process, which is chemical
tempering, and its applications.
- University of Rennes
1 (UR1), France
- Tang Peng Por Glass
Tempering Factory
Co., Ltd (TPP)
- Saint-Gobain Glass
Exprover
- Atelier COLE
- Douglass Concept
Cambodia Co., Ltd
MSS HEIP
19 Development and
Optimization of
Ceramic Tile using
Cambodian Clays
Incorporating with
Industrial Wastes
To develop high quality clay roof
tile using local raw materials such
as clay, alternative feldspar (waste
rock) and silica sand and fired in
different firing temperatures and to
produce scientific manual for
ceramic production technology and
plus organizing dissemination
workshop to share the research
findings and technology to the
private and public sectors.
- Universiti Sains
Malaysia (USM),
Malaysia
- K-Rock company
MSS HEIP
25
20 Development of Eco-
friendly and Low-cost
Wastewater Treatment
System as an On-site
Product
To develop and optimize the
wastewater treatment processes for
domestic and industrial
wastewaters, which can highly
remove wastewater pollutant with a
low-cost of investment and
operation and environmentally
friendly system
B2G Engineering Co.,
Ltd
WAE HEIP
21 Strengthening Flood
and Drought Risk
Management and Early
Warning System in
Lower Mekong Basin
of Cambodia
To strengthen flood and drought
risk management through
establishment of flood and drought
warning system and development of
research capacity to manage and
mitigate the impact of flood and
drought events in Cambodia’s Tonle
Sap Mekong Basin.
- Kyoto University
National
- Committee for
Disaster Management
Green Enviro-Sult
Cambodia (GESC)
WAE HEIP
22 Integrated Approach of
Precise Irrigation and
Sustainable Soil
Management to
Improve Crop Water
Productivity in
Cambodia through ITC
Soil lLboratory
Development: the
Focus on Rice Farming
To boost food security by
improving crop water productivity
of rice farming through the uptake
of integrated technologies of water
saving and soil conservation
technologies.
- University of Liege,
Belgium
Cambodia
- Agricultural Value
Chain Program
(CAVAC)
- Cambodian
Agricultural Research
and Development
Institute (CARDI)
- Khmer Modern Farm
- Kompost Junlen
Farm
WAE HEIP
23 Development of a
Biofilter System Model
to Control of Air
Pollution toward
Industrial Application
(1) to develop the bio-filter system
model to control of air pollutants in
order to promote the clean air for
human well-being, (2). To help
industries dealing with pollution
emission toward sustainable
development (SGD3, SGD9, and
SGD13), and (3). To strengthen air
pollution research in Cambodia.
- Kanazawa University
- Phnom Penh Special
Economic Zone
WAE HEIP
24 Development of
Climate Data
Information System for
Cambodia
To provide up-to-date climate
information for climate data user
and stakeholders
- Institut Teknologi
Bandung
- Kyoto University,
Japan
- Open Development
Cambodia
- Ministry of
Environment
- Cambodia-Australia
Agriculture Value
WAE HEIP
26
Chain Program
(CAVAC)
- Key Consultants
Cambodia
25 Improving Sustainable
Water Supply and
Sanitation in
Cambodia: Case of
Tonle Sap Lake’s
Floating Villages
To provide a sustainable water
supply and sanitation that are
adapted to the socio-economic and
environmental contexts of TSL by
using pilot scale of advanced water
treatment technologies and these
developed technologies will be
shared with private sector for
commercial application.
- Chulalongkorn
University, Thailand
- Tokyo Institute of
Technology, Japan
- Northwestern
University, USA
- Ringacam
Investment Company
Cambodia
- Water Center
Water
- Environment
Venture Co., Ltd
WAE HEIP
26 Micropollutant
Removal by Powdered
Activated Carbon
Injected at the
Flocculation-
Coagulation-Settling
Step in Drinking Water
Treatment Plants
To eliminate trace micropollutants
from the drinking water treatment
plant in an ecologically friendly
way using powdered activated
carbon as the same time with
coagulation and flocculation
process.
NA FTN EU/AFD
27 Spatio-temporal
Assessment of Surface
and Groundwater
Quality Affected by
Urban Wastewater:
Case Study
in Tamouk Lake Area
To assess the spatiotemporal
variation of water quality in
Tamouk Lake and to investigate the
linkage between wastewater
draining from Phnom Penh and
Aquaculture farm.
NA WAE EU/AFD
28 Assessment of Silicon
(Si) in Water and
Bottom Sediment in
Tonle Sap Lake: an
Implication for Highly
Productive Ecosystem.
To investigate the role of Si in TSL NA WAE EU/AFD
29 Assessment of Flood
Risk on Urban Areas
due to Flow Alteration
of Lower Mekong and
Rapid Urban
Development
To identify the flood dynamics in
Cambodian lower Mekong and its
impacts on urban areas under
extreme historical flow of Mekong
river in combination with recent
land reclamations
NA WAE EU/AFD
30 Formulizing the Design
Criteria for the Piped-
water System in
To accessing consumption pattern
of piped-water network
NA WAE EU/AFD
27
Cambodia
31 Arsenic Removal from
Groundwater using
ECAR Treatment
Technology
To optimize the best condition for
Arsenic removal from groundwater
using ECAR technology.
NA WAE EU/AFD
32 Impact of Climate and
Land Use Change on
Hydrology Pattern in
the Coastal Zone of
Cambodia
To evaluate the hydrological pattern
induce by land use and climate
change at coastal area, Cambodia.
NA WAE EU/AFD
33 Antibiotic-Resistant
Bacteria in Wastewater
and their Impact on
Receiving Freshwater
System
To quantify the antibiotic-resistant
bacteria in wastewater and the
receiving freshwater systems
NA WAE EU/AFD
34 Application of
Alternative Bio-
adsorbents in
Wastewater Treatment
To remove metals by adsorbent NA WAE EU/AFD
35 Formulizing the Design
Criteria for the Piped-
water System in
Cambodia
To accessing consumption pattern
of piped-water network
NA WAE EU/AFD
36 Agroecology and Safe
Food System
Transitions (ASSET)
To make food and agricultural
systems in Southeast Asia more
sustainable, safer and inclusive,
through harnessing the potential of
agroecology to transform them
APPARI, ILRI,
CIRAD, SEI,
GDA/MAFF, VAAS,
GRET, Swisscontact,
University of
Florence, University
of Hohenheim,
Mediaseeds, NUOL,
DALAM, NAFRI
FTN EU/AFD and GRET
37 FOODI (MSc Course in
Food Processing and
Innovation)
To educate aspiring food
entrepreneurs, healthcare
professionals, government officials,
and food industry professionals in
the end-to-end value chain of food
processing: from understanding the
elements of food, to starting a new
venture for disrupting and enriching
the food processing industry in
Asia.
University of the
Aegean, University
College Dublin,
University of Salerno,
Research Innovation
and Development Lab
PC, Metropolitan
college SA, AIT, PSU,
Universit Kuala
Kampur, University of
Malaya, Universiti
Teknologi Mara,
UTM, UBB, Svay
Rieng University,
University of Heng
Samrin
Thbongkhmum,
MoEYS,
FTN Erasmus+ KA2
28
38 Active Learning in
Engineering Education /
ALIEN
To improve the teaching and
learning methodologies in
engineering school by applying
Active Learning (AL) and Problem-
Based Learning (PBL)
-Panepistimo
Thessalias
-Instituto Politecnico
Do Porto
-University of Central
Lancashire
-University of Malaya
-Universiti Tanaga
Nasional
-Isra University
-Tallinn University
-Technical University
-Viet Nam National
University
-Hanoi University
-UBB -Meanchey
University
-Tribhuvan University
-Kathmandu
University
-Fast National
University of
Computer and
Emerging Sciences
-University of Science
and Technology of
Hanoi
MIT Erasmus + KA2
39 Training a New
Generation of
Entrepreneurs in
Sustainable Agriculture
and Food Engineering
(FoodSTEM)
To build the partnership between
Cambodian and European
universities, and to create a
favorable condition in the 4 partners
universities for the emergence of
student entrepreneurship and micro
or small enterprises.
NPT-ENSAT, Institut
Agro/SupAgro
Montpelleir,Liege
University, UBB,
RUA, and RULE
FTN Erasmus+
40 ASEAN Factori 4.0 To improve capacity building for
PLC;
To set-up PLC excellence center at
ITC
Universituy of Claude
Bernard Lyon1,
University of Ruse
(UR), Grenoble Alpes
University (UGA)
ETM
&
MIT
Erasmus+
41 HEALTHYRICE To identify diversified agricultural
rice systems allowing an increase in
soil and plant health, and a decrease
in pesticide use and their occurrence
as residues in consumption
products.
IRD, CIRAD, RUA,
UBB
FTN IRD
29
42 Understanding and
Managing the
Cambodian
Floodplains,
The Preks of Kandal
Province
To understand and manage the
floodplains in Kandal province
NA WEA IRD
43 Water Evolution and
Vulnerability Under
Global Changes in
Coastal Catchments of
Cambodia
To evaluate the hydrological pattern
induce by landuse and climate
change at coastal area, Cambodia.
NA WAE IRD
44 Nutritional Profile of
Freshwater Fish and
Fish Powder from
Tonle Sap Lake in
Cambodia
To analyze the nutritional profile of
freshwater fish and fish powder
from Tonle Sap Lake
Montpellier SupAgro
University and Cirad
FTN BGF
45
Aquaculture in
Cambodia:
Sustainability and Risk
Prevention (Aquacam)
To contribute to Cambodia's public
policies for the development of
sustainable aquaculture, through
adapted methodological tools shared
between main stakeholders of the
sector.
RUA, IRD, CIRAD,
WORLD Fish, UM,
FiA, Ministère de
l’Europe et des
Affaires Étrangères,
Institut Français
WAE French Embassy
46 Visual Attention: Top-
down Approach and
Memory Information
To improve the saliency map results
by mixing the bottom-up and top-
down approach.
Universite de Mons,
Belgium
MIT ARES-CCD
47 Building Trustable and
Privacy Aware IoT
Systems using
Blockchain and Smart
Contracts
Building decentralize access control
in multiparty environment
University of Namur
(UNamur)
MIT Government of
Cambodia + ARES-
CCD
48 Power Quality
Monitoring Based on
the Deployment
of Sensors in the Grid
and Parameter
Measurement
To define and evaluate solutions
aiming the deployment of a
sustainable smart grid providing a
high quality and highly available
energy in Cambodia
INP-ToulouseNA MIT Government of
Cambodia + BGF
49 Developing Countries’
Transportation
Enhancement through
the Application of
Physical Internet
Paradigms
Reduce transportation leadtimes,
Improve on-time delivery ratio,
Avoid useless travelled distance,
Limit waste of goods due to bad
transportation, Improve carriers’
profitability, Allow transportation
multimodality, Allow real time
tracking of goods, Optimize
transportation costs, Reduce carbon
footprint impact of transportation.
IMT Mines Albi MIT Government of
Cambodia + BGF
50 Dynamic Transport of
the Sediment and
Nutrient in the Mekong
River Basin and the
Assessment of sediment and
nutrient transport in Mekong River
and its linkage between the Mekong
mainstream and the Tonle Sap Lake
INP-Toulouse, France WAE ITC and BGF
30
Role of the Tonle Sap:
Assessment Coupling
Data and Modelling
Approaches
51 Impact of Land Use
Change and Climate
Change on Surface
Runoff and Suspended
Sediment in the
Mekong Basin
To assess the impact of land use
change and climate change impacts
on surface runoff and soil loss in the
teak tree plantation in the Northern
Laos.
Université Paul
Sabatier - Toulouse III
WAE ITC and BGF
52 Termite Bioturbation in
Cambodia-From
Characterization to
Application
To determine physico-chemical
properties of termite mounds in
Cambodia,
the abundance and the farmer
perception on termite mounds in
Cambodia
and application of termite mounds
soil for drought resistance in rice
SU, IRD
WAE ITC and BGF
53 Digital Platform for
Cambodian
Agricultural Produce -
Assessment and
Prototype
To implement the digital platform
served as a marketplace and digital
supporting tool for Cambodian
agricultural produces through
iterative prototyping process
Universite de Liege,
Eclosio, FAEC
MIT ARES-Synergie
54 Impacts of Smallholder
Farmers’ Agriculture
Practices on Water
quality in Kampong
Thom, Cambodia
To provide evidence-based
recommendations to public and
relevant stakeholders for policy
decision-making process in
Cambodia in order to influence
water quality monitoring processes,
positive interventions and
regulations to control the use of
chemical fertilizers and pesticides
and to promote agroecological
practices of smallholder farmers.
Université catholique
de Louvain
(UCLouvain) and
Royal University of
Agriculture,
Cambodia–
ECOLAND Research
Center
FTN ARES
55 Investigation of
Geothermal Source and
Reservoir (Te Tek Pos
Hot Spring) in Phnom
Te Village, Sangke Sap
Commune, Oral
District, Kampong Speu
Province, Cambodia.
To define the potential renewable
energy resource (geothermal
energy) at Te Teuk Pus area, Phnom
Te village, Sangke Sap commune,
Oral district, Kampong Speu
province, Cambodia
Kyushu University
ETM LBE/JICA
56 Mapping of
Hydrothermal
Alteration Associated
with Porphyry Cu-Au
and Epithermal Gold
Deposits using ASTER
and Landsat 8,
To define method for delineating of
hydrothermal alteration mineral in
northeast Cambodia by using
ASTER and Landsat-8 image;
To verify hydrothermal alteration
between remote sensing and
laboratory analysis of porphyry Cu-
Au and epithermal deposits
Kyushu University,
Angkor Resources
Corp., Samnang
Angkor Development
Co Ltd, IMECS
(CAMBODIA) CO.,
LTD, IMECS,
Ministry of Mine and
ETM LBE/JICA
31
Northeast Cambodia Energy, Cambodia
57 Reservoir Rocks
Characterization and
Source Rocks
Evaluation for
Hydrocarbon Potential
in Northern and
Western Tonle Sap
Lake, Onshore
Cambodia
To intergrade geophysics and
geological data with numerical
simulation to explore hydrocarbon.
Kyushu University
ETM LBE/JICA
58 Investigation of Mixing
Ratio of Biomass to
Wasted Cooking Oil
used as Binder for
Producing Solid Fuel
for Community Use in
Cambodia (Bio
Briquette Project)
To verify the use of biomass
briquettes by investigating its
property values and obtaining the
right mixing ratio between biomass
briquette having wasted cooking oil
as a binder and finally to confirm
the type of raw materials using with
the existing small-scale briquetting
system.
NA ETM LBE/JICA
59 Development of Open-
Source Tool for
Teaching and
Researching in
Distribution System
Topology with
Distributed Generation
To develop an algorithm for
reconfiguration;
To develop an algorithm for service
restoration;
To develop an open-source tool
NA ETM LBE/JICA
60 Distribution of Black
Shale and Sandstone
Formations for
Hydrocarbon
To characterizing the distribution of
hydrocarbon source and reservoir
from black shale and sandstone
formations in northern Tonle Sap
Lake.
NA ETM LBE/JICA
61 Pesticide and
Temperature Control in
Durian Farm by using
Global Control System
To Focus on Global Control System
for durian farm which apply for:
pest control, temperature control
and irrigation control will be
achieved with local availability and
eased to use.
OBEN Elevator
Co.,ltd
ETM LBE/JICA
62 Planning and Operation
of Active Distribution
Systems
To develop novel optimization
algorithms and towards a small-
scale prototype as an emulated
system for planning and operation
of active distribution systems to
improve quality, reliability, and
economy in the systems.
NA ETM LBE/JICA
63 Geological and
Geophysical Studies of
Hydrocarbon Potential
in Tonle Sap Basin,
Onshore Cambodia
Geological and geophysical
investigation for hydrocarbon
potential in Tonle Sap Basin,
onshore Cambodia.
1) To characterize the subsurface
geological structures and
General department of
petroleum, Mining of
Mine and Energy
ETM LBE/JICA
32
hydrocarbon accumulation
2) To characterize and evaluate
source and reservoir rocks
64 Integration of Landsat-
8, ASTER, and
Sentinel-2 for mapping
of mineral prospective
map, hydrothermal
alteration and
geological structures for
porphyry copper and
epithermal gold
deposits in the north
Cambodia
1. To develop methods using band
ratios and Principal Component
Analysis (PCA) techniques to
Sentinel-2, Landsat-8, and ASTER
datasets
2. To provide a detailed description
of the mineral prospective zones
using weight of evidence method
1. To verify remote sensing results
by laboratory analysis and field
observation
- Kyushu University
- Angkor Resources
Corp.
- Samnang Angkor
Development Co Ltd
- IMECS
(CAMBODIA)
CO.,Ltd
- Ministry of Mine and
Energy
ETM LBE/JICA
65 Development of
Cambodian Fermented
Cucumbers by using
Freeze-Dried Lactic
Acid Bacteria with their
Potential Use as
Aromatic and
Bacteriocin-producing
Starters
To develop fermented cucumbers by
using freeze-dried LAB that are
useful for taste and preservation
Tokyo Institute of
Technology, AgroSup
Dijon
FTN LBE/JICA
66 Non-intrusive
Appliance Load
Monitoring and
Diagnostics in
Residential Home
To produce a device/ tool that is
able to monitor the energy
consumption of each electrical
appliance in a residential home and
to provide feedback to end
consumer to take any action for
energy saving.
NA MIT LBE/JICA
67 Implementation of Data
Transmission Testbed
Focused on Channel
Access Protocol Design
with Physical-layer
Network Coding for
Low Latency
Transmission
To implement a testbed for wireless
communication networks using
software defined radio;
To integrate a proposed channel
access protocol for physical-layer
network coding to the network with
two sources two relays and a
destination. The protocol is to
achieve lower transmission latency.
NA MIT LBE/JICA
68 Assessing the Local
Power Quality using
Data Logger and the
Development of a
Single-phase Voltage
Stabilizer
To design and put in use power
monitor system which is capable of
logging the measured voltage and
current data of the power line in a
resident. and to develop a prototype
of a power converter which is used
to stabilize the voltage of the power
line.
NA MIT LBE/JICA
69 Development of
Control and Monitoring
To develop the practical control and
monitoring system for mushroom
Royal University of MIT LBE/JICA
33
System for Efficient
Cultivation and Growth
Modelling of
Mushroom in
Cambodia
house to improve the productivity Agriculture
and Faculty of Water
Resources
70 Proof-of-Concept of
Applying Blockchain
Technology for
Decentralized
Identification
Management of
Medical System
To build smart card application for
patients
Tokyo Institute of
Technology (Obi-lab)
MIT LBE/JICA
71 Hydrothermal
Alteration,
Mineralization, Fluid
Inclusion,
Geochemistry, and
Geochronology of
Porphyry Cu-Mo-Au
Prospect in Kampot and
Ratanakiri, Cambodia
To identify the lithology and
geochemistry of the host sequence
and mineralized intrusion;
To delineate the spatial and
temporal distribution of porphyry
intrusion, hydrothermal alteration
and Cu-(Au-Mo) mineralization;
To study in detail the
origin of hydrothermal fluid respon
sible for alteration and
mineralization;
To determine the Zircon U–Pb
- Kyushu University
-Angkor Resources
Corp. - Samnang
Angkor Development
Co Ltd
- IMECS
(CAMBODIA) CO.,
LTD
-Ministry of Mine and
Energy, Cambodia
MSS LBE/JICA
72 Design and Built a
Lightweight Cassis of
Mini Electric Vehicle
To study the EV structure and its
power consumption through the
design and built a prototyping of a
lightweight vehicle.
NA MSS LBE/JICA
73 Composite 3D Printing
based on Filament
Developed from
Natural Fiber
To develop filament from natural
fibers as reinforcement and
Polylactic acid (PLA) as the matrix
for composite 3D printing material
Tokyo Institute of
Technology
MSS LBE/JICA
74 Addressing Water
Scarcity in a Rural
Community of
Cambodia through
Groundwater Use
To address the water scarcity in a
rural community of Cambodia
through groundwater use
NA WAE LBE/JICA
75 Development of
Electrocoagulation
Reactor Integrated
Sedimentation for
Turbidity and Color
Removal from
Industrial Wastewater
To develop and evaluate the hybrid
Electrocoagulation Reactor (ECR)
combining both EC and
sedimentation units in terms of
design criteria and operation
condition in both batch and continue
mode for decolorization and
turbidity removal.
- B2G Engineering
Cambodia Co., LTD
- Chulalongkorn
University
WAE LBE/JICA
76 Prototype of Low-cost
and Smart In-vessel
Composter for
converting Spent
Mushroom Substrates
to Bio-Organic
Fertilizer
To calibrate and validate
mathematic modelling of compost
process of spent mushroom
substrates (SMS); To prototype an
automatic composter for rapid
fermentation of SMS;
To implement the prototype
Center of Excellence
on Sustainable
Agriculture
and Nutrition, Royal
Unvisersity of
Agriculture (RUA)
WAE LBE/JICA
34
composter at mushroom production
farm to evaluate the quality of the
SMC produced
77 Study of Acid Mine
Drainage (Amd) In
Cambodia And Its
Countermeasures
To evaluate on the effectiveness of
low-cost adsorbents on the acid
mine drainage from three active
mining provinces, Mondulkiri,
Ratanakkiri, and Kratie.
Hokkaido University WAE LBE/JICA
78 SATREP:
Establishment of
Environmental Platform
of Tonle Sap Lake
To develop a water environment
analytical tool for Tonle Sap Lake
(TSL) and establish an
environmental conservation
platform through the elucidation of
the lake and the tool development.
Tokyo Institute of
Technology,
Yamagata University,
Institute for Global
Environmental
Strategies, Tonle Sap
Authority, Ministry of
Water Resources and
Meteorology, Ministry
of Environment
WAE
and
FTN
JICA/JST
79 Air pollution in Phnom
Penh/East Asia-
Nanoparticle
Monitoring Network
(EA-Nanonet)
Through monitoring of ambient
aerosol nanoparticles at more than
20 sites in 10 countries in East Asia,
1) Evaluation of status and
characteristics of ambient
nanoparticles in East Asian area, 2)
Discussion on contribution of
emission sources and possible trans-
boundary transportation
Kanazawa university,
EA-Nanonet
WAE Kanazawa
university
80 Collaborative Research
Platform to Manage
Risk and Enhance
Resilience of Coral
Reef in Southeast Asia
To understand the present and
future scenario of the coral reef
abundance and diversity
assist in capacity development and
policy formulation with evidence-
based scientific outputs in managing
coral reef and marine ecosystem
services;
To manage risk and enhance
resilience of the coral reef in
Southeast Asia countries.
TIT, Vietnam Japan
University,
Chulalongkorn
University, and others
WAE APN
81 Strengthening flood
risk management
induced by climate
change in Stung Sen
River Basin, Cambodia
To Strengthen flood risk
management induced by climate
change in Stung Sen River Basin,
Cambodia
National Committee
for Disaster
Management
WAE
SUMENET
82 Investigating the
impacts of human
activities and climate
change on the
mangrove systems in
East and Southeast Asia
To investigate the impacts of human
activities and climate change on the
mangrove systems in East and
Southeast Asia
Zhejiang University
GRU APN
35
83 Indoor Mobile Robot
Localization using
Multisensor Data
Fusion
To implement and evaluate the
localization and planned trajectory
to achieve higher accuracy
NA MIT Takahashi
Foundation
84 Study on the Mid-term
Effects of Rural
Electrification on
Quality of Life
Domains in Southeast
Asia
To understand the medium term
effects (3-5 years) of rural
electrification on three domains of
Quality of Life: social, economic
and health-related well-being,
focusing on inequalities by social
group (e.g. gender, household types,
and age groups) in the South East
(SE) Asian context
University of Malaya,
Institute of
Technology of
Cambodia,University
of Yangon,Yangon
Technological
University, Kyoto
University
ETM International Joint
Research (JSPS
Kakenhi B), Japan
85 Reducing Foodborne
Pathogen
Contamination of
Vegetables in
Cambodia: Innovative
Research, Targeted
Interventions, and
Impactful, Cambodian-
Led Engagement
To reduce the prevalence and
incidence of foodborne pathogen
contamination of vegetables
produced and sold in Cambodia
Royal University of
Agriculture; Institut
Pasteur du Cambodge;
World Vegetable
Center; Purdue
University; Penn State
University; Kansas
State University
FTN USAID
86 Testing of Internal Steel
Diaphragm in Box
Column Connections
To verify the tensile strength of
internal diaphragm connections
KMUTT MSS King Mongkut’s
University of
Technology
Thonburi
87 Energy-based Design
for Buildings -
Collaboration with
King Mongkut’s
University of
Technology Thonburi
To develop energy design method
for knee-braces frames
KMUTT MSS King Mongkut’s
University of
Technology
Thonburi
88 Steel Ring Damper for
Seismic Application -
Collaboration with
King Mongkut’s
University of
Technology Thonburi
To develop a novel steel ring
damper;
To apply to a system called 'knee-
brace frame' for seismic resistance
KMUTT MSS King Mongkut’s
University of
Technology
Thonburi
89 Durability of Concrete
Beam Strengthening
with GFRP
To study the durability of concrete
beam strengthening with GFRP and
GFRP laminate under different
conditions and durations.
Fyfe Asia Pte Ltd MSS Fyfe Asia Pte Ltd
90 Effectiveness and
Formulating of
TyfoFibrAchors with
the Tyfo Fibrwrap
Systems
To study the effectiveness and
possibly formulating design formula
for anchorage of Tyfo Fibranchor
with the Tyfo Fibrwrap systems.
Fyfe Asia Pte Ltd MSS Fyfe Asia Pte Ltd
91 Active Learning in
Engineering Education /
To improve the teaching and
learning methodologies in
NA MIT Erasmus + KA2
36
ALIEN engineering school by applying
Active Learning (AL) and Problem-
Based Learning (PBL)
92 Development of
Nanosatellite for Demo
To make a prototype of
10cmx10cmx10cm Nano Satellite
for demonstration
NA MIT Ministry of
Environment
93 Flight Controller and
Structural Design for
Fixed-Wing UAV
To develop prototype of a fixed
wing small aircraft
NA MIT Ministry of
Environment
94 Study on Impact of
Heat Stress to Human
Productivity and
Economic in Cambodia
(Heat Stress Project)
To build human resources in the
heat stress field;
To investigate the impacts of heat
stress on productivity;
To develop economic model on
impact of heat stress;
To build evidence on the impacts of
heat stress on productivity in three
selected sectors including the
construction, garment, and
education sectors.
National University of
Singapore (NUS), The
Hong Kong
Polytechnic University
(PolyU), Health &
Environment
International Trust
(HEIT)
ETM CCCA3
95 Pushing Energy
Efficiency in Cambodia
through (EE
competition)
1) Create a self-sustaining and
capacity building to kick-start EE in
Cambodia;
(2) Develop the awareness and
capacity on climate change
mitigation and adaptation among the
youth;
(3) Integrate a policy advocacy
work with relevant national
institutions to foster the adoption of
EE standards
- Sevea Consulting
- Institut Francais
pour la Performance
du Batiment (IFPEB)
- EnergyLab
Liger Leadership
Academy
EuroCham and ATS
ET,M CCCA3
96 Proof of Concept for
Small Scale Precious
Plastic Recycling in
Cambodia
To identify suitable technologies
(plastic shredding and plastic
extruding machines) for the plastic
recycling;
To adapt design, and fabricate
plastic shredding and plastic
extruding machines;
To support in system transfer and
knowledge management by
providing technical reports and
operation manuals, and gathering
technical feedback and lesson
learned.
NA ETM UNDP
97 Improvement of the
Small-Scale Biogas
Plant for a Household
in a Rural Village
-To provide a day-ahead
information for households
-To improve quality of life in a rural
village
Kyoto University ETM Zero Emission
Energy Research
(ZE))
37
Table 6: Projects submitted in 2020-2021
N Title of Project
submitted and planned
Objectives of the project Partner Unit Funding agency
(Erasmus KA1,
Erasmus KA1,
AUN-SEED/Net,
AUF, AFD, ADB,
WB etc.,)
1 Steel ring damper for
seismic application -
collaboration with King
Mongkut’s University of
Technology Thonburi
To develop a novel steel ring
damper and to apply to a
system called 'knee-brace
frame' for seismic resistance
King Mongkut’s
University of Technology
Thonburi
MSS King Mongkut’s
University of
Technology
Thonburi
2 Active dry yeast
development for fruit
wine production
To produce indigenous
active dry yeast for fruit
wine production using freeze
drying method for dried
storage
Rigacam FTN LBE/JICA
3 Characterization of
Physicochemical
Properties of Cambodia
Kapok Tree-Exudates for
Producing Food Gum
Powder and Bio-derived
Composite
To characterize
physicochemicals, extract
bioactive compounds from
the kapok tree-exudate,
develop the kapok tree-
exudate into food gum
powder, investigate water
absorption capacity of kapok
tree-exudate
-Tokyo Institute of
Technology
-Tokyo University of
Science
FTN LBE/JICA
4 Subsurface mapping of
soil bearing capacity in
Phnom Penh area,
Cambodia
To improve the Lab-based
learning and increase the
number of publication at ITC
Rock Mechanics
Laboratory of Hokkaido
University; Matlab Co.,
Ltd; Research and Design
Enterprise
MSS LBE/JICA
5 Application of To apply alternative local Groundwater and Mass MSS AUN/SEED-Net
Development of Low-
cost Mechanical
Ventilator
To make a prototype of a low-cost
mechanical ventilator using
available material in Cambodia
INP Toulouse/
ENSEEITH
- BiomedicaL Eng.
Solution & Tech. Co.,
Ltd
MIT TEM Trading
Co.,Ltd.
98 Health Information
Systems at National,
Provincial and District
Levels to Support Care
for Diabetes Patients
- Conduct an assessment of existing
diabetes patient management
database systems in Cambodia
- Establish a well-functioning
system of a health center-level
screening and referral system linked
to the social projection system and
their corresponding diabetes clinic’s
patient management database
- Louvain Cooperation
- WHO
- MoH
MIT Eclosio
38
Alternative Local Low-
cost Adsorbents in
Domestic Wastewater
Treatment
low-cost adsorbents in
domestic wastewater
treatment
Transport of Hokkaido
University
(Alumni Support
Program for
Research (ASP-R))
6 Study on the Impact of
Phase Reconfiguration in
Unbalanced Distribution
Systems
To develop a novel
algorithm for phase
arrangement in both MV and
LV;
To develop a small-scale
prototype
Kyoto University (KU) ETM Zero Emission
7 Design and Installation of
Off-Grid PV System for
Clean Water and
Electricity Supply in Ta
Mat Primary School,
Cambodia
To design and implement an
off-grid PV system for the
school;
To analyze the quality of
life based on PV system
utilization
EnerCam Co.,Ltd ETM JASTIP
8 Promoting Biopesticides
to Control the
Agricultural Pests
towards Pesticide
Reduction, Food Safety
and Security in Cambodia
The proposed project aims to
promote biopesticides from
plants species available in
Cambodia to control the
nematode pests on rice crops
to enhance food safety and
security, and promote
sustainability green
agriculture in Cambodia.
IRD FTN GMA Foundation
3.13 Promotion of Graduate School
Maintain and extend partnerships with partner institutions (universities, NGOs,
Government Agencies, private sectors, etc.).
Continue improving and reviewing curricula of thematic programs (inter-
departments)
Seek for funds/scholarships to support students.
Increase promotional activities to prospective students.
Conduct graduate employment survey of master and doctoral graduates.
Internationalize the programs through our regional and international partnerships.
Increase communication among campus community, faculty staff and prospective
students.
Fully implement Partnership programs of the Higher Education Improvement Project
(HEIP).
Increase the visibilities of research topics response to the societies needed through
supporting from research fund institutions such as ministries, LBE project, WB
project.
39
Table 7: Perspective for 2021-2022 of Graduate School
No. Objective Baseline
2020-2021
Target 2021-
2022 Strategies/Actions Challenges
1
Increase number
of enrollments of
Master students
92(on-going
students)
112
(on-going
students)
Seek for more
funds/scholarships to support
students
- Covid-19
- Availability of
staff
- Limited
sources of
funding support
Increase promotional activities
to prospective students
Improve communication
materials and website contents
of Graduate School
Promote research-based
programs
Promote LBE and Research in
HEIP projects
Partner and collaborate with
local/regional universities,
public institutions and
industries, NGOs
2
Increase number
of Master
graduates
229 294
Orientate research/internship
activities and inform timeline
and requirement - Covid-19
- Late arrival of
experiment
equipment
Conduct regular meetings
between students and
supervisors
Follow-up research/internship
progress weekly and monthly
3
Toward
International
Master Programs
by 2023
0 (program) 1(program)
Collaborate with partner
universities
Covid-19
Availability of
staff
Availability of
staff
Fully implement Partnership
programs of the Higher
Education Improvement
Project (HEIP)
Promote English as a language
of communication, teaching
and learning
Invite professors/experts from
partner institutions to provide
lectures/short courses
4
Toward program
accreditation by
2023
0 (program) 2
(program)
Send faculty staff for training
on requirement and preparation
for accreditation - Covid-19
- Availability of
staff Conduct self-evaluation on the
training programs
40
No. Objective Baseline
2020-2021
Target 2021-
2022 Strategies/Actions Challenges
Consult with accreditation
experts
Prepare necessary documents
and tools to meet the standard
and/or requirements of the
accreditation body
5
Launch revised
curriculum of
Master programs
0 1
Propose revised curriculum
developed by team members to
Consortium for comments and
discussions
6 Launch new
Master Program 0 0
Propose the new curriculum
developed by team members to
Consortium for comments and
discussions
7
Increase number
of enrollments of
PhD students
54
(on-going
students)
64
(on-going
students)
Seek for more
funds/scholarships to support
students
- Covid-19
- Availability of
staff
- Limited
funding support
Increase promotional activities
to prospective students
Improve communication
materials and website contents
of Graduate School
Promote research-based
programs
Promote LBE and Research in
HEIP projects
Partner and collaborate with
local/regional universities,
public institutions and
industries, NGOs
Develop more double-
degree/cotutelle/sandwiches
Programs with partner
universities
8
Increase number
of PhD
graduates
0 14
Orientate research activities
and inform timeline and
requirement
- Covid-19
- Late arrival of
experiment
equipment
- Funding
supports
- Young
supervision
experience of
some supervisor
Conduct regular meetings
between students and
supervisors
Follow-up research/internship
progress weekly, monthly and
semi-annually
41
No. Objective Baseline
2020-2021
Target 2021-
2022 Strategies/Actions Challenges
9
Improve
management of
Graduate School
Capacity building on
leadership/management/M&E
skills for Graduate School’s
staff - Availability of
faculty staff can
be constrained
- Difficulty in
collecting inputs
due to Covid-19
Capacity building on
“Effective supervision for
doctoral student”
Develop guidelines for
students, faculty and
administrative staffs
10 Enhance quality
assurance
Develop and conduct graduate
employment surveys of master
and doctoral graduates
Participation in
questionnaire
can be low
Conduct student’s evaluation
on the training program
Conduct student’s evaluation
on learning and teaching
Conduct market survey for
skill needs’ assessment
Analyze survey data and report
for program/curriculum
revision or development
3.13.1 Master Programs
A. Master Program of Mobile Technology.
Objectives:
Modify current curriculum to put more focuses on the current and future job market
trends (skills related to Big Data) and embrace research and development in order to
support the research study projects in the fields of Computer Science, Machine Learning
and Deep Learning at ITC or elsewhere. The name of the modified curriculum is
changed to “Master of Engineering in Computer Science”. The detail curriculum is in the
Annex 1 [Perspective MGIC2021-2022]
B. Master Program of Materials and Structural Engineering
• For the academic year 2020-2024, we push the collaboration with Chulalongkorn
University (CU) in Thailand through HEIP project. The collaboration will focus on
exchanges of students, professors and developing curriculum in Materials Science
and Engineering part with the Faculty of Engineering of CU.
C. Master Program of Water and Environmental Engineering
42
• For the academic year 2020-2021, we propose a review on curriculum through a
consultation workshop
• For the academic years 2020-2024, we push the collaboration with Chulalongkorn
University (CU) in Thailand through HEIP project. The collaboration will focus on
exchanges of students and professors and with Department of Environmental
Engineering, Faculty of Engineering of CU. To prepare the master program to gain
AUN-QA accreditation with collaboration with CU.
• To send the official name to the ministry from Master of Rural Engineering to Master
of Water and Engineering
• To have 10 more exchange professor from France to give lecture in partnership with
ITC professor for UWE program. To have exchange experts from NGOs such as
GRET and Water Supply Authority to provide short courses to the Master students so
that the students can know more on the real-world problems of work. This exchange
is supported by EU-AFD project.
• To send master students to do internship abroad with EU-AFD projects. To have
students doing research internships in the ministries and industries.
D. Master Program of Energy Technology and Management Engineering
• For the academic years 2020-2024, we push the collaboration with Institut Teknologi
Bandung (ITB) in Indonesia through the HEIP project. The collaboration will focus
on exchanges of students and professors.
• We also work with ECAM-Lyon to study the possibility of having international
double-degree program.
E. Master Program of Agro-industrial Engineering
• To change the name of the program: Agro-industry and Environment Agro-
industrial Engineering
• To develop and strengthen the training and research programs in the field of Agro-
industry to account for regional context, collaborating with prestigious universities in
the region is essential. For the academic years 2020-2024, we push the collaboration
with Kasetsart University (KU) in Thailand through the HEIP project. The
collaboration will focus on exchanges of students and professors and establishing
dual degree program.
43
F. Master Program of Mechatronics, Information and Communication Engineering
• To change the name of the program: Intelligent Mechatronics Mechatronics,
Information and Communication Engineering
• For the academic years 2020-2024, we push the collaboration with, through the HIEP
project, with Institut Mines Télécom (IMT) in France. The collaboration will focus
on exchanges of students and professors and improving curriculum.
• We also work with ECAM-Lyon to study the possibility of having international
double-degree program.
Overall, in the coming academic year 2021-2022 we propose to run the following programs:
• Agro-industrial Engineering
• Energy Technology and Management Engineering
• Materials and Structural Engineering,
• Transport Engineering
• Computer Science
• Water and Environmental Engineering
• Mechatronics, Information and Communication Engineering
Agenda:
• Program Promotion to I5 Engineering students: July
• Official Announcement of the new intake: July—August
• Selection and result: September
• Start of academic year: October
• Proposed Tuition Fee: 1,200$ per year
3.13.2 Doctoral Program
The Doctoral Program has been launched since the academic year 2017-2018. For this
academic year, there are 54 doctoral students. In the coming academic year 2021-2022, ITC
plans to recruit 2 PhD students each for the five fields:
• Water and Environment
• Materials Science and Structures
• Energy Technology and Management
• Food Technology and Nutrition
• Mechatronics and Information Technology.
The PhD students will engage actively in the research projects defined under the HEIP
project. We prioritize ITC faculty staffs who are potential (lecturer-researchers or pure
researchers) but have difficulty to mobilize far from home (especially, female staff with
children). Co-supervision and cotutelle programs with partner universities are highly
considered.
44
Agenda:
Announcement of the new intake: April—July
Selection and result: August—September
Start of academic year: October
Proposed Tuition Fee: 1,900$ per year.
Promotion of Research and Innovation
3.14 Promotion of Research and Innovation
a) Promoting research activities
o Encourage researchers to propose and to conduct research project with national and
international partners
o Exchange research outputs with local and international researchers through
conferences, proceeding, and workshop -etc.
b) Continuous improvement for highly-qualified researchers
o Encourage faculty staff for doctoral study or post-doctoral study
o Send researchers to have experiences in laboratory of national and international
partners
o Develop capacity of researchers for research proposal writing and grant proposal
writing
o Develop skill of researchers on planning, project management, and report writing
c) Upgrade laboratory facilities
With the support from the government French government, Belgium government, Japanese
government, AUF, AUN-Seed-Net and other development partners ITC has equipped with
some good equipment. However, there is still has limitation in terms of research facility.
Therefore, ITC continues to strengthen and upgrade the laboratory facilities through
expansion of collaboration with partners. The following strategies are to be implemented to
achieve the above objective:
o Develop laboratory with specific field to response to development of scientific
knowledge and economic improvement
o Equip modern facilities for research and development through support from
government and internal partners
o Continue to strengthen and expand the collaboration with development partner such
as French, Belgium, Japan, Korean and other development partners
d) Strengthening and expanding of researcher network
In the sector ITC has researcher network at local and international level such as MOEYS,
RUPP, RUFA, Ministry of industry and handicraft, and Ministry of water resources and
Meteorology, etc together with French embassy, AUF, Ares-CCD, AUN/Seed-Net, World
Bank. These local and internal agencies provide technical and financial support to ITC. To
achieve this objective ITC will do the following:
o Continue to propose research project proposal with existing partners
o Join scientific conferences and events to exchange research outputs
o Invite scientific keynote speaker for events organized by ITC
e) Strengthening and expanding of collaboration with private sector
o Continue to propose research project for development of manufacturing technologies
45
o Continue to organize scientific events to share experiences by involving from
academic and private sectors
o Continue to provide services to private sectors such as training, raw material and final
product analysis, and consultation -etc.
Under Cambodia Higher Education Improvement Project (HEIP), ITC commissioned a
comprehensive analysis of research environment at ITC. Based on this analysis, the
consultant has worked together with RIC and ITC to produce the development plan for RIC.
The consultant has defined five strategic issues for development of research at ITC. The
activities and impacts can be indicated in the table below:
3.15 Promotion of Industrial Linkage
In 2021-2022, the University Industry Linkage Office of ITC aims to achieve following:
- Industry consortium 2021-2022: from 10 companies to 15 companies
- 2 MOA with Industries
The strategies to accomplish are proposed as follows:
Organize the meeting with private sectors and Engineering career fair in December
2021
Foster the capacity of university industry linkage staffs and the university industry
linkage representative from departments on the entrepreneurship skills and technical
assessment skills.
46
Conduct the market survey (market needs) to ensure a strong in technical and soft
skill for high employability market and better curriculum for good quality of
education.
Strengthen the research activity of each department to partner industries with the
purpose to attract their interest for cooperation.
Promote the applied research in each department to reply to the needs of the society.
Promote Techno-Innovation and Entrepreneurship program to ITC students
Promote the start-up competition program of ITC C-NEUF project and ERASMU
project
Strengthen the cooperation with the existing industry partners and enlarge the
cooperation with the other industries.
Increase the number of technical training program to industries and SME.
Increase the number of research cooperation with the industries.
Visit industries to search for collaboration and encourage the company participate in
the career forum organize by ITC
3.16 Promotion of Incubation and Start-Up
The fields covered by the Business Incubation Centre (BIC) are connected to the 5 Research
Units of the Research and Innovation Centre, namely: Water and Environment (WAE), Food
Technology and Nutrition (FTN), Materials Science and Structure (MSS), Mechatronics and
Information Technology (MIT), and Energy Technology and Management (ETM).
However, 2 fields of innovations have been prioritized:
- Innovations with High Technologies including the use of Robotics, AI (Artificial
Intelligence), Mechatronics, Big Data, Cloud Computing, IoTs, Cybersecurity,
Automation.
High Technologies can be applied to agriculture (smart farming), energy (smart
energy production and use), environment (weather forecast, climate change
predictions), and of course Industry 4.0 (prototyping, product design, quality control
in manufacturing, energy and environmental management).
- Innovation in Food processing and Food Safety. Although the technologies
involved may appear not as sophisticated as in the previous field, issues for
developing affordable, safe, attractive and sustainable food "Made in Cambodia"
involve many Scientific fields such as agronomy, food science, waste and by-products
valorisation, food process design, biotechnological process, microbiology,
biochemistry, analytical chemistry, materials science for food packaging aspects, …
Strategies and Activities for 2021-2022
Facilitate with different departments at ITC to provide technical support to startup
team (lab access and technical mentor)
47
Organize Techno Innovation Challenges Cambodia 2021 (TICC 2021) to select the
best innovative ideas/projects and most committed teams (6-8)
Organize 10-weeks training on Business Plan Development to help startup teams to
build completely build their business plan and improve their product/service
prototype
Provide technical, business and financial support to three best startup projects to
commercial / testing their product on the market
Organize Showcase and Networking Evening to showcase and connect the three best
startup teams with investor (in partnership with Khmer Enterprise)
Promote the result of the startup program (through seminar) to ITC’s partners
universities
Collaborate with external entities to provide capacity building for students to learn
entrepreneurship more effectively.
Expected output:
At least one Laboratory under LBE project become a member of FabLab of the
Incubation Center
3.17 Promotion of Library, Cyber University and Multimedia Centre
Library
Establish Digital Education Center and Digital Library
Establish Sustainable Library Management System and up-to-date System
Web Portal for sharing electronic resources
Social Media linked with other partner library local and global
Create Web Portal that is a place where electronic resources can be shared online
using the Internet or in a single network without using the Internet (Intranet) in the
school
Convert from required or popular hard book to digital book
Change from using the library services directly to using the electronic system, such as
borrowing books directly and requesting to use the discussion room
Make the videos on the use of book catalog system and other electronic services
Needs training of librarians and library users with knowledge of technology
management and use
Cyber University and Multimedia Centre
Organize online content development training to local partners: universities, NGOs,
and institutions working on education and learning and teaching technology
Support Royal University of Agriculture, National University of Battambang, Mean
Chey University to setup and operate e-learning
Support partners working on education to apply e-learning
Promote collaboration with UNESCO-BEEP Learning Center (10)
Provide free content operation to attract more partners
Join partners seminar that promote teaching and learning technologies
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Join technology exhibition and education fair
Continue to improve Learning Management System (LMS) functionalities and
operation
Increase LMS server capacity to improve content operation
3.18 Promotion of Soft Skills
Soft skill is an essential course which promotes personal attributions that sit outside the
professional qualifications and work experience. Soft skills will be mainstreamed into
technician and engineering program at ITC for building students’ soft capacities. Among the
other skills, Team Work is one of the principle skill to be considered. 2 Trainings on
Teamwork will be given to ITC students annually.
Teamwork involves building relationships and working with other people using a number of
important skills and habits:
Working cooperatively
Contributing to groups with ideas, suggestions, and effort
Communication (both giving and receiving)
Sense of responsibility
Healthy respect for different opinions, customs, and individual preferences
Ability to participate in group decision-making
4 Challenges
The online training faces difficulties during Covid-19 period
The mobility program under faculty might be subjected to change due to COVID19. Most
of mobility program and capacity building over sea have been change to conduct online.
Managing capacity building projects and collaborative projects requires more time and
effort which need more capable administrative staff to help.
Narrow space of some laboratories and workshop for TPs (e.g. Conception mécanique,
Fluid mécanique, métrologie, ICT, …) (GIM)
Promotion of field of Geo-resources and Geotechnical Engineering at ITC is not reached
to high school students to know more about this major (GGG)
Limited Lab equipment for student practice (new option in water environment (GRU)
Limit number of PhD in operating master program and supervise student research work
(GIC)
Lacks of Human resources in department of architectural engineering (GCI)
Limitation of testing equipment and existing equipment are older (GCI, GIM)
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5 Annexes
Annex 1
Modification of Foundation Year Program
Level: Foundation Year
Duration: 2 Years
Semester: 4 Semesters
Maximum of hours per semester: 384
Lecture (L): 1L=16 hours
Tutorial (T): 1T=32 hours
Practice (P): 1P= 32 hours
Year Semester Course Code Subject Credit L T P Hours
Y1
S1
DTCI11ANL Calculus I 3 2 1 0 64
DTCI11MCN Mechanics I 3 2 1 0 64
DTCI11GEC Management and
Accounting 3 3 0 0 48
DTCI11HIS Philosophy 2 2 0 0 32
DTCI11ENV Environment 2 2 0 0 32
DTCI11LFR French 3 0 0 3 96
Total S1 16 11 2 3 336
S2
DTCI12ICT Introduction to ICT 2 1 0 1 48
DTCI12ANL Calculus II 3 2 1 0 64
DTCI12TMD Thermodynamics 3 2 1 0 64
DTCI12MKT Marketing 2 2 0 0 32
DTCI12DTN Technical Drawing 2 1 1 0 48
DTCI11PHI History 2 2 0 0 32
DTCI12LFR French 3 3 0 0 96
50
Total S2 17.5 14 3 0.5 384
Total Year 1 33.5 25 5 3.5 720
Y2
DTCI21ELC Electricity 3 2 0.75 0.25 64
DTCI21ANL Calculus III 3 2 1 0 64
(1) Data Structure and
Algorithm I
(2) Mechanics II
3 2 0 1 64
DTCI21AGL Linear Algebra 3 2 1 0 64
DTCI21LAN English 2 0 0 2 64
DTCI21LFR French 2 0 0 2 64
Total S1 16 8 2.75 5.25 384
S2
Discrete Mathematics 2 1 1 0 48
DTCI21PRO Probability 3 2 1 0 64
(1) Data Structure and
Algorithm II
(2) Chemistry
3 2 0.5 0.5 64
(1) Computer
Architecture
(2) Vibration
3 2 0.5 0.5 64
DTCI22ODE Ordinary Differential
Equations 3 2 1 0 64
DTCI22LAN English 2 0 0 2 64
DTCI22LFR French 2 0 0 2 64
Total S2 16 9 4 3 368
Total Year 2 32 17 6.75 8.25 752
51
Annex 2: Bachelor of Engineering in Applied Mathematics and Statistics
AMS)
Level: B.Eng Duration: 5 years
Option1. Data Science (O1)
Option 2. Financial Mathematics
(O2)
Number of Semesters: 10 semester
Maximum
hours/semester: 384 hours
L Lecture 1 L=16h
T Tutorial 1 T=32h
P Practice 1 P=32h
Year Semes
ter Course Code Subject Credit L T P Hours
Y1
S1
DTCI11ANL Calculus I 3 2 1 0 64
DTCI11MCN Mechanics I 3 2 1 0 64
DTCI11GEC Management and
Accounting 3 3 0 0 48
DTCI11HIS Philosophy 2 2 0 0 32
DTCI11ENV Environment 2 2 0 0 32
DTCI11LFR French 3 0 0 3 96
Total S1 16 11 2 3 336
S2
DTCI12ICT Introduction to ICT 2 1 0 1 48
DTCI12ANL Calculus II 3 2 1 0 64
DTCI12TMD Thermodynamics 3 2 1 0 64
DTCI12MKT Marketing 2 2 0 0 32
52
DTCI12DTN Technical Drawing 2 1 1 0 48
DTCI11PHI History 2 2 0 0 32
DTCI12LFR French 3 3 0 0 96
Total S2 17 13 3 1 384
Total Year 1 33.5 25 5 3.5 720
Y2
DTCI21ELC Electricity 3 2 0.75 0.25 64
DTCI21ANL Calculus III 3 2 1 0 64
GICI31ALP Data Structure and
Algorithm I 3 2 0 1 64
DTCI21AGL Linear Algebra 3 2 1 0 64
DTCI21LAN English 2 0 0 2 64
DTCI21LFR French 2 0 0 2 64
Total S1 16 8 2.75 5.25 384
S2
Discrete Mathematics 2 1 1 0 48
DTCI21PRO Probability 3 2 1 0 64
GICI32ALP Data Structure and
Algorithm II 3 2 0.5 0.5 64
GICI31ACO Computer Architecture 3 2 0.5 0.5 64
DTCI22ODE Ordinary Differential
Equations 3 2 1 0 64
DTCI22LAN English 2 0 0 2 64
DTCI22LFR French 2 0 0 2 64
Total S2 16 9 4 3 368
Total Year 2 32 17 6.75 8.25 768
Y3 S1 Statistics 2 1 1 0 48
53
Object-Oriented
Programming 3 2 0 1 64
Mathematical Modeling 2 1 1 0 48
Advanced Computer
Architecture 2 2 0 0 32
Signals and Systems I 2 2 0 0 32
Optimization 3 2 1 0 64
French 2 0 0 2 64
English 1 0 0 1 32
Total S1 17 10 3 4 384
S2
Advanced probability 3 3 0 0 48
Numerical Analysis 3 2 0.5 0.5 64
Topology and
differential calculus 3 3 0 0 48
Database 2 1 0.5 0.5 48
Computer
Programming in Data
Science
2 1 0 1 48
French 1 0 0 1 32
English 2 0 0 2 64
Minor project 1 0 0 1 0
Elective 2 32
(O1) Introduction to
Networks 2 2 0 1
(O2) Introduction to
financial instruments 2 2 0 1
Total S2 19 384
Total Year 3 36 768
54
Y4
S1
Economics for
Engineers 3 3 0 0 64
French 1 0 0 1 32
English 1 0 0 1 32
Stochastic Processses 3 2 0 1 64
Statistical Models 3 2 1 0 64
Operation Research 3 2 1 0 64
Elective 3 64
GICI41SSE (O1) Operating
Systems 3 2 0.5 0.5
(O2) Introduction to
financial models and
actuarial sciences
3 2 1 0
Total S1 17 13 3.5 3.5 384
S2
Discrete Optimization 3 2 1 0 48
Introduction to Parallel
and Distributed
Programming
3 2 0 1 64
Probabilistic Graphical
Models 3 2 0.5 0.5 64
Time Series Analysis
and Forecasting 3 2 0.5 0.5 48
French 1 0 0 1 32
English 1 0 0 1 32
Major Project
(Internship) 3 1 0 2 0
Elective (2 courses) 5 4 0 1 96
Large-scale Distributed
System (Cloud
Computing)
2.5 2 0 0.5
Risk Management 2.5 2 0 0.5
Elective Course 1 2.5 2 0 0.5
55
(Database Design and
Administration?)
Stochastic calculus and
applications 2.5 2 0 0.5
Total S2 22 13 2 7 384
Total Year 4 39 26 5.5 10.5 768
Y5
(M1)
S1
GICI51CPI IT Project Management 1.5 1 0 0.5 32
Programming for Data
Science 3 2 0 1 64
Information Retrieval
Web Analytics 3 2 0 1 64
Exploratory Data
Analysis and
Unsupervised Learning
2 1 0.5 0.5 48
Introduction to
Machine Learning 3 2 0 1 64
English 1 0 0 1 32
French 1 0 0 1 32
Elective 3 48
Cryptography and
Security 3 3 0 0 0
Financial models in
continuous times +
numerical methods
(elective)
3 3 0 0 0
Data Security 3 3 0 0 0
Elective course 3
(Software Engineering)
or
3 3 0 0 0
Elective Course 4
(Natural Language
Processing)
3 3 0 0 0
Total S1 17.5 20 0.5 6 384
S2
Final Year Internship 9 0 0 9 —
Total S2 9 0 0 9 0
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Annex 3
Course Description for BEng. In Applied Mathematics and
Statistics; Master of Data Science
Calculus I
Complex numbers, algebraic and transcendental function, functions of a single variable,
limits and continuity, differentiation, Application of differentiation, Taylor polynomials,
Indefinite integral and method of integration, Conic
Mechanics I
Kinematics of particles, Composition of movements, Kinematic of solid, Basic laws of the
dynamics of particles, Dynamics of particle in non-Galilean frame, Work of forces. Theorem
of kinetic energy, Mechanical energy
Introduction to ICT
Basic Definition, basic operations of computer system, processing and storing data, operating
system, Networking basics, working with application software, introduction to programming,
introduction to Database.
Calculus II
Numerical sequence, series, sequence functions, Series of functions, Taylor's series, Improper
integral, parametric integrals; Elementary Ordinary Differential Equations
Electricity
Coulomb’s Law and Electrostatics field, Energy and Potential, Conductor in Equilibrium of
Electrostatics, Electrostatic capacitors energy aspect, Electromagnetic field and its properties,
Electrodynamics of stationary regimes, Electromagnetic induction, Self and mutual
inductance of electric circuits
Mechanics II
Total Year 5 26.5 20 0.5 15 384
Total (Y1 to Y5) 168 89 17.75 37.25 3408
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Element Kinetics of a material system, dynamic system of materials, energy of the material
system
Calculus III
Matrix and Determinant, Vector and Geometry of Space, Multivariable Function, Multiple
Integration and Vector Analysis
Data Structure and Algorithm I
Introduction to algorithm, basic type and statement, control structure, array, sub-programs,
recursion
Linear Algebra
Vector Space, Linear Transformation, Canonical Form, Euclidean Space, Inner Product
Space
Vibration
Free undamped vibration of a system, Free undamped Torsional vibration, Free vibration
with viscous damping, Free vibration with Coulomb damping, Free vibration with Hysteretic
damping, Force vibration and Resonace, forced vibration with solid friction, Forced vibration
with Hysteretic non-damped, Mechanical Wave, Electrostatic Waves,
Discrete Mathematics
The course cover principle theory of Logic and Proofs, Language of Mathematics, Counting
Methods, Cryptography and Number Theory, Graph, Tree.
Probability
Topics covered in this unit of study include Introduction to Probability, Discrete random
variables, Continuous random variables, Joint probability distribution, Transformation
variables
Thermodynamics and Heat transfer
Statics of Fluid, Kinetic Theory of Ideal GAZ, First law of Thermodynamics, Second law of
Thermodynamics
58
Data Structure and Algorithm II
The course covers the following points: Pointer, linked lists, stacks and queues, asymptotic
notation, sorting algorithm, trees, graphs
Computer Architecture
The course includes five parts: the first three parts cover the fundamentals of processor,
memory, and network design, while the final two parts cover more advanced processor and
memory design. In addition, the final lecture at the end of the course will present in detail an
example architecture from industry to help illustrate the concepts discussed in class. A
tentative list of topics for each part is included below. The exact topics covered in the course
are subject to change based on student progress and interest.
Ordinary Differential Equations
First-Order Differential Equation, Higher Order Differential Equation, Laplace Transform
and Its Applications, Systems of Linear Differential Equations, Application of System of
Linear Differential Equations, Series Solution of Differential Equations
Statistics
Test of Hypotheses Based On a Single Sample, Inferences Based on Two Samples, The
Analysis of Variance, Multifactor Analysis of Variance, Simple Linear Regression and
Correlation, Nonlinear and Multiple Regression, Goodness-of-Fit Test and Categorical Data
Analysis
Object-Oriented Programming
This course helps student to understand about the steps needed for creating a program.
Students will learn about Unified Modeling Language (UML) which allowed them to draw
various diagrams in the process of creating program and learn about how to program by using
Object (OOP world). Student will learn to create interface by using Java while using JDBC to
connect between program and database server.
Advanced Computer Architecture
The objective of the course is improving the student’s knowledge about interaction inside of
computer and flow of data while operating. This subject will help students to understand
about the various information technology by focusing on Instruction and how data sent.
Advanced probability
59
Measure theory, recall on continuous random variable, different types of convergence,
characteristic functions, conditional law and expectations, Gaussian vector
Numerical Analysis
Mathematical Preliminaries and Error Analysis, Solutions of Equations in One Variable,
Interpolation and Polynomial Approximation, Numerical Differentiation and Integration,
Initial-Value Problems for Ordinary Differential Equations, Direct Methods for Solving
Linear Systems, Numerical Solutions of Nonlinear Systems of Equations, Boundary-Value
Problems for Ordinary Differential Equations
Topology and differential calculus
Espaces topologiques, espaces topologiques connexes, espaces métriques, espaces vectoriels
normés, Espaces métriques complets, Espaces de Banach, Espaces de Hilbert, le théorème du
point fixe, continuité des applications linéaires, Espaces compacts, Applications
différentiables, Les théorèmes de l’inverse locale et des fonctions implicates
Computer Programming in Data Science
This course covers the paradigms and tools required to excel in data analysis and statistical
computing projects. The course content includes: Python programming language basics ,
Understanding standard libraries in Python, Working with CSV files, Data frames and
operations with data frames, Data manipulation and visualization
Introduction to Networks
Introducing general knowledge of computer network and its components which is based on
Protocol Architecture ( OSI and TCP/IP model ), how data is treated from layer to layer, IP
and Subnet, Computer Network Technology and How data’s transmitted in each protocol.
Introduction to Network Science
Mathematical background of network science: graphs and networks; Random networks and
their properties; Scale-free networks, small world networks and Barabasi-Alert model;
Mobility and networks; Social networks and communities; Assortativity of networks;
Dynamic processes
Economics for Engineers
Principles and economic analysis of engineering decision making. Cost concept. Economic
environment. Price and demand relations. Competition. Make-versus-purchase studies.
60
Principles and applications of money-time relationships. Depreciation. Money and banking.
Price changes and inflation. Business and company finance
Operating Systems
OS services and components, multitasking, multiprogramming, time sharing, buffering,
Spooling Process & thread management, context switching, multithreading Concurrency
control, mutual exclusion requirements, semaphores, monitors, Dead locks - detection,
recovery, avoidance and prevention Memory management, partitioning, swapping, paging,
segmentation, virtual memory, Demand paging, page replacement and allocation algorithm
Introduction to Distributed Systems, Architectures of Distributed Systems, communication
networks, Mutual Exclusion in Distributed Systems, RMI, concept of Replication,
Distributed File Systems (NFS, AFS, coda) overview, security in Distributed Systems. HDFS
File and Storage Management.
Introduction to Parallel and Distributed Programming
This course covers general introductory concepts in the design and implementation of parallel
and distributed systems, covering all the major branches such as Cloud Computing, Grid
Computing, Cluster Computing, Supercomputing, and Many-core Computing. The specific
topics that this course will cover are: asynchronous/synchronous
computation/communication, concurrency control, fault tolerance, GPU architecture and
programming, heterogeneity, interconnection topologies, load balancing, memory
consistency model, memory hierarchies, Message passing interface (MPI), MIMD/SIMD,
multithreaded programming, parallel algorithms & architectures, parallel I/O, performance
analysis and tuning, power, programming models (data parallel, task parallel, process-centric,
shared/distributed memory), scalability and performance studies, scheduling, storage
systems, synchronization, and tools (Cuda, Swift, Globus, Condor, Amazon AWS,
OpenStack, Cilk, gdb, threads, MPICH, OpenMP, Hadoop, FUSE).
Large-scale Distributed System (Cloud Computing)
Review on probability theory; Bayesian networks representation and learning; Markov
Random Field (MRF); MRF inference; learning in Markov networks; numerical
optimization; Monte Carlo methods; Markov Chain Monte Carlo (MCMC); Expectation
Maximization (EM); vibrational inference and learning; Optimization for inference;
Structured Perceptron and Support Vector Machines; neural networks; Bayesian modeling
Database Design and Administration
In this course student will learn about: Fundamental knowledge of Information System, Data
Model and Database, How to analyze and create Database, Design Conceptual Data Model
61
Design by using Entity Relationship Model, Design Logical Data Model Design by using
Relational Model, Convert Conceptual Data Model to Logical Data Model.
IT Project Management
To understand the important steps in project management, To understand the roles and
responsibilities of the person who works in the project, To understand various project
management methodologies
Programming for Data Science
Python = algorithmics, clean code, class, Pandas, Matplotlib + Programmation in R with
tidyverse + dataviz and use cases (recommender systems, ...)
Information Retrieval Web Analytics
This course is split in two parts: "Text Mining (basics of NLP) , Information retrieval/web
analytics"
The course will cover both traditional and newly developed algorithms in information
retrieval and Web search and their Web applications. Examples of topics include: indexing,
processing, and querying textual data; basic retrieval models: Boolean retrieval, the vector
space model, probabilistic IR, “intelligent” IR systems; relevance feedback and query
expansion; Web crawling and search; link analysis; text classification and clustering.
Introduction to Machine Learning
Nonparametric statistics, k-NN, SVM, resampling (bootstrap, ...), regularization lasso/ridge
in regression
Cryptography
Mathematic for Cryptography (Number theories and finite field), applied cryptography
(Traditional and modern technique) and Blockchain Technology (Bitcoin, Ethereum and
Hyperledger Fabric)
Information Security
Fundamental concepts of Information security, Network security, Threats, Attacking and
Defending
62
Natural Language Processing
This course will allow students to know how to work with natural language by using
computer models to analyze the text data. Students will learn how to extract keywords and
features from the text data by using some basic methods used in NLP. In NLP, students will
also be able to classify the text as well using basic machine learning algorithms. Python
programming language and library NLTK are used in all these implementations. In addition,
WordNet which is a lexical database or a dictionary is also used.
Advanced Machine Learning
Principles of Statistical Learning; Trees, Ensemble methods: Random Forests, Boosting +
some advanced topics.
Deep Learning
NN & deep learning tricks (initialization, normalization, dropout, optimization-SGD...), CNN
and Computer Vision, RNN Time Series & NLP, Autoencoder, Generative Models (GAN,
VAE, Normalized Flow
Data Warehousing and Visualization
The process for collecting and managing data from varied sources to provide meaningful
business insights and graphical representation of information and data. By using visual
elements like charts, graphs, and maps, data visualization tools provide an accessible way to
see and understand trends, outliers, and patterns in data. This course will provide data
modeling, database design and database access, information visualization types; design
principles of data visualization; tools for static data visualization; tree and network
visualizations; big data visualizations.
Big Data Architecture
"cloud computing": use of GCP/ Azure / AWS + PySpark
Simulation Method and Bayesian Inference
State-Space, MCMC/Gibbs... + Bayesian (and Variational?) inference
Statistics
Objectives: Introduction to the mathematical theory of statistics: To provide necessary
statistical background for analyzing data and drawing inferences from that analysis. To
increase the student’s mastery of the deductive nature of reasoning. Estimation, with a focus
63
on properties of sufficient statistics and maximum likelihood estimators. Hypothesis testing,
with a focus on likelihood ratio tests and the consequent development of “t” tests and
hypothesis tests in regression and ANOVA. Nonparametric procedures.
Contents: Create and interpret scatter plots and histograms. Understand the difference
between probability and likelihood functions, and find the maximum likelihood estimate for a
model parameter. Construct estimates and predictions using the posterior distribution. Find
credible intervals for parameter estimates. Use null hypothesis significance testing (NHST) to
test the significance of results, and understand and compute the p-value for these tests. Use
specific significance tests including, z-test t-test (one and two sample), chi-squared test. Find
confidence intervals for parameter estimates.
Prerequisites: Probability
Optimization
Contents: Unconstrained optimization via calculus – Convex functions – Iterative methods
for unconstrained optimization – Constraint qualification and Karush-Kuhn-Tucker
optimality conditions – Lagrangian duality – Primal iterative methods – Penalty and barrier
methods.
Introduction to financial instruments (elective)
Give students some fundamental tools to understand a financial market:
Organized markets and “over-the-counter” markets, Financial markets and macroeconomics,
Formalization of the rules governing a financial market, Arbitration opportunities, Basic
financial instruments: Bond markets, Forward and future contracts, Swaps
Stochastic Processes
Objectives
- Introduce the students to the concept of stochastic processes and in particular to the notions
of Martingales and Markov chains.
- Provide the students the tools necessary to understand the foundations of stochastic
processes and the methods to analyses them in multiple domains of applied math, including
econometrics, and mathematical biology and finance.
1) Martingales: Conditional expectation, Definition of martingale and basic properties,
gambling strategies, Stopping times, Applications, Convergence
2) Markov chains: Transition probability matrix, Classification of States, Stationary
distributions, Limit Behavior, Exit times, Infinite state spaces"
Prerequisites: Probability, advanced probability
64
Graph theory and optimization
This course contains two parts:
Graph theory: Basic definitions – Connexity, strong connexity – Complexity, NP complete
problems – Independent set of vertices, vertex coloring, edge coloring – Planar graphs –
Trees – Shortest paths – Scheduling problems. Optimization: (a) deterministic dynamic
programming, (b) Matrix method for problems of optimal paths in graphs, (c) Scheduling
under constraint of resources and scheduling of workshops, (d) Flow Problems: maximum
flow and minimum cut, (e) Branch & Bound, application to the traveling salesman problem,
(f) Linear programming, the simplex algorithm;
Introduction to financial models and actuarial sciences
This course contains two parts:
1.) Finance insurance: an introduction to the financial aspects of insurance companies. It
provides methods regarding how to price traditional insurance products (Life and Death
Insurance, Fixed Annuities, etc.) and more advanced insurance products (e.g. CPPI, Variable
Annuities). The course also presents some aspects of the Asset and Liability Management of
an Insurance company and how to mitigate the risks inherent to insurance business.
2.) discrete models in finance: This course introduces the basic concepts in mathematical
finance in the discrete case. The first point is the link between no-arbitrage, complete market
and risk neutral probability. The second point is the pricing and hedging of claims in the
binomial model.
Operation Research
Objectives: The objective of this course is to give supplements in linear programming and to
give a concrete aspect by modeling problems, implementation methods and use of
mathematical programming software.
Contents: The course contains three parts
Part 1 – Linear Programming Complements: Duality, Sensitivity Analysis, interior point
methods, introduction to linear integer programming, few supplements in OR in the
stochastic field;
Part 2 – Modeling and computer implementation of OR problem solving: conventional
programming, dedicated software as glpk or CPLEX);
Part 3 – Large Problem Solving: column generation method: Application to network design,
graph partition... IT project and implementation of a concrete problem of optimizing the gas
exploitation.
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Probabilistic Graphical Models
The course will provide an overview of probabilistic machine learning
(that is, learning approaches derived some form of probabilistic modelling)
with particular emphasis on graphical models (probabilistic models where
dependences are represented by a graph). In particular, the following topics
will be covered (not necessarily in this order):
* maximum likelihood and Bayesian estimation
* linear and logistic regression
* clustering: k-means vs mixture models, the EM algorithm
* graphical models: definitions, exact and approximate inference algorithm (sum-product)
* Gaussian processes.
Risk Management
This course introduces principals, concepts, and modern practices of financial risk
management, and also addresses basic financial and statistical techniques that enhance risk
management decisions.
Topics include market Risk, Credit Risk, Counterparty Credit Risk and Collateral Risk,
Operational Risk, Liquidity Risk, Asset Liability Management Risk, Model Risk, Extreme
Value Theory, Stress Testing and Scenario Analysis, Credit Scoring Models.
Stochastic calculus and applications
This course gives an introduction to probability theory and stochastic calculus in continuous
time. We study fundamental notions and techniques necessary for applications in finance
such as option pricing and hedging.
Content: Brownian motion, stochastic integral, Ito calculus, Martingals and Girsanov
theorem, Stochastic differential equations, Applications: Black et Scholes model.
Prerequisites: Probability, advanced probability, stochastic process.
Financial models in continuous times and numerical methods (elective)
The course focuses on the modeling and numerical analysis of financial derivatives.
1) Motivating examples: Black-Scholes and Dupire model, Realized volatility vs Implied
volatility vs Local volatility;
2) Derivation of the Pricing Equations in various models;
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3) Deterministic Pricing Schemes: Finite Differences methods and Tree Methods;
4) Simulation Pricing Schemes: simulation of random variables
and stochastic processes, Pseudo Monte Carlo versus Quasi Monte Carlo, variance reduction
techniques.
Prerequisites: Stochastic calculus
French
Cycle I1 (level A1)
Know how to say hello and introduce yourself in French, say about professions,
nationalities, countries and spoken languages, talk about the family, describe people
physically and morally, talk about a place and location.
Know how to talk about French food and dishes, clothes and colors, shopping, invite
someone and organizing parties.
Cycle I2 (level A2)
- Know how to present yourself more appropriately, talk about the characters of people, meals
and tastes, your schedule, present an event, directions to take, ask for help,
- Know how to talk about family life, leisure activities with friends, travel, media, various
facts, education, the professional future, current young Francophones in connection with
social and cultural movements and trends, digital tools and environments.
Cycle I3 (level B1)
- Know how to talk about the past, famous people and monuments, the environment, rights,
social relations, digital life, entertainment, studies,
- Know how to talk about living with changes, about a project or the humanitarian mission to
accomplish and finalize, French culture and La Francophonie.
Cycle I4 (level B2)
- Know how to distinguish between the different types of workers, businesses, companies,
write administrative letters and e-mails, a report, discover consumers, banking services, the
role and resources of the State, analyze investment financing.
- Know how to analyze the employment contract, the right to strike, lead a meeting, examine
the grounds for dismissal.
Cycle I5 (Professional Integration)
- Know how to define yourself in relation to the job market, find out what is the match
between your training and the job market.
- Know how to build a professional project: to sell well on the job market, know the right
balance between wanting to do, know-how and being able to do.
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English
English (LEVEL A2)
The focus of the course is to give the students the language, information, and skills they need
to start their career. It is a new, up-to-date course where they learn what they need to know
for a career in technology. With this course, they will (1) learn the English they need to do
the job, (2) practice language in real work situations, and (3) learn specialist vocabulary.
English (LEVEL B1)
focus of the course is to give the students the language, information and skill students need to
start their career. It is a new, up to date course where the students learn what they need to
know for a career in technology. With this course, the students will (1) learn the language
they need to do the job (2) practice the language in the real situations and (3) learn the
specialist language vocabulary.
English (LEVEL B2)
The focuses of the course are to concentrate students on key vocabulary for the discipline and
on words and phrases which commonly used in academic and scientific English. It also
focuses on the skills that enable students to get the most out of lectures and written texts and
present the skills required to take part in seminars and to produce essay assignments.
English YEAR 5 (I5)
It aims at teaching language for work and career: engineering skills needed at the work place.
For example, at work students need to be able to describe processes or interpret information
and to analyze materials students have read or listened to. Also, their ability to communicate
ideas clearly with strong support in both spoken and written English is necessary and
acquired in this course. Finally, students will be able to develop their own CV and do a mock
interview for great confidence about going for a job so as to work effectively and efficiently
when they are in the real world.
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Annex 4
Master of Engineering in Data Science
Level: Master Duration: 2 years
Number of Semesters:
4 semeste
rs
Maximum hours/semester: 384 hours
L Lecture 1L=16h
T Tutorial 1T=32h
P Lab
Practice 1P=32h
Year Semest
er
Course
Code Subject Credit L T P Hours
Y5
(M1) S1
GICI51CPI IT Project Management 1 1 0 0.5 32
Programming for Data
Science 3 2 0 1 64
Information Retrieval Web
Analytics 3 2 0 1 64
Exploratory Data Analysis
and Unsupervised
Learning
2 1 0.5 0.5 48
Introduction to Machine
Learning 3 2 0 1 64
Foreign Language (French
or English) 1 0 0 1 32
Elective 3 3 0 0 48
Cryptography and Security 3 3 0 0 0
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Financial models in
continuous times +
numerical methods
(elective)
3 3 0 0 0
Data Security 3 3 0 0 0
Elective course 3
(Software Engineering) or 3 3 0 0 0
Elective Course 4 (Natural
Language Processing) 3 3 0 0 0
Total S1 16 23 0.5 5 352
S2
For Non-
ITC
Introduction to Parallel
and Distributed
Programming
3 2 0 1 64
Time Series Analysis and
Forecasting 3 2 0.5 0.5 48
Major Project (Internship) 3 1 0 2 0
For ITC
Student Final Year Internship 9 0 0 9 —
Total S2 9 0
Total Year 5 25 23 0.5 5 352
Y6
(M2) S1
Advanced Machine
Learning 3 2 0.5 0.5 64
Deep Learning 3 2 0.5 0.5 64
Research Methodology
(compulsory) 2 2 0 0 32
Data Warehousing and
Visualization 2 1 0.5 0.5 64
Big Data Architecture 2 1 0.5 0.5 64
Simulation Method and
Bayesian Inference 3 2 0.5 0.5 64
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Entrepreneurship
(compulsory) 2 2 0 0 32
Total S1 17 12 2.5 2.5 384
S2
Thesis 12 0 0 12 —
Total S2 12 0 0 12 0
Total Year 6 29 12 2.5 14.5 384
Total Years 5 and 6 54 35 3 19.5 736
Annex 5
List of Human Resources at ITC for BEng. Applied
Mathematics and Statistics; Master of Data Science No. ITC Department Degree Specialist
1 LIN Mongkolsery TC, RIC Doctor Functional Analysis, Analysis and
Differential Equations
2 SIM Tepmony GS, TC Doctor Applied Mathematics and Statistics
3 PHAUK Sokkhey TC Doctor Data Science
4 MUTH Boravy TC Doctor Nuclear Engineering
5 MOEUNG Noi TC Master Analysis and Statistics
6 PEN Chentra TC Master Analysis and Probability
7 PHOK Ponna TC Master Probability and Statistics
8 TANN Chantara TC Master Numerical Analysis
9 TOUCH Sopheak TC Master Industrial engineering
10 DEOM Vanny TC Master Algebraic Topology
11 KHVAY Sopheap TC Master Analysis and Probability
12 LAY Heng GIC Master Architecture of Information System
13 VALY Dona GIC Doctor Image Processing
14 CHUN Thavrac GIC Master Software Engineering
15 BOU Channa GIC Master Software Engineering
16 TITH Dara GIC Doctor Security and Blockchain
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Annex 6
List of Human Resources at Partner Universities who support the
programs BEng. in Applied Mathematics and Statistics; Master of
Data Science
No. ENSIIE and TSP Title Specialist
1 Vathana LY VATH Professor
Stochastic Modelling and
applications; Stochastic control and
optimization; Liquidity risk;
Corporate finance and real options
2 Randal DOUC Professor
Parameter estimation in general
Hidden Markov Models; Markov
Chain Monte Carlo (MCMC) and
sequential Monte Carlo methods;
Particle filtering; Computable
bounds for general Markov chains
3 Sergio PULIDO Assoc.
Professor
Probability; Stochastic Processes ;
Mathematical Finance
4 Nicolas BRUNEL Professor Statistical Modeling and Differential
Equations
5 Mathilde MOUGEOT Professor
Machine learning, Data Mining,
Data Science; Computational
Statistics, Non parametric Statistics
for Monitoring and Diagnosis.
6 Thomas LIM Assoc.
Professor
Financial Mathematics; Stochastic
Control and Optimization; Stochastic
Differential; Liquidity Risk;
Counterparty Risk; Variable
Annuities
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Annex 7: Perspective MGIC2021-2022
1. Introduction
Master Program of Information and Communication Engineering Specializing in Mobile
Technology is founded in 2013 to develop and improve the skills in mobile application
development and promote the research in information technology. The main objectives
of the program were to strengthen the mobile development skills, to teach the leadership
and entrepreneurship skills, to increase human resource in the research field of
information technology which was and still is currently low in the institution. However,
the current trends of technology development in the IT filed have been changing a lot for
last few years. The mobile development skills are something that students can learn by
themselves on the internet or via the short courses provided by some private universities.
With this new trends, the mobile development skills are no longer the main subjects in
the higher education for graduate students. As the result, we have seen the significant
low record number of students registered in the program for the past few years. With this
new challenge, some action plans are proposed for the new academic year to apply some
modification to the program including the name and curriculum of the program.
2. Perspective and Strategies
2.1. Perspectives
Modify current program to put more focuses on the current and future job market trends
(skills related to Big Data) and embrace research and development in order to support the
research study projects in the fields of Computer Science, Machine Learning and Deep
Learning at ITC or elsewhere.
2.2. Strategies 2021-2022
Adopt and promote a new curriculum
Recruiting more students
Increase the human resources for the research team
Creating the new research laps
3. Action Plan 2021-2022
Modify Curriculum and name of the program for 2021-2022
The name of the modified curriculum is changed to “Master of Engineering in Computer
Science”. The curriculum is proposed to be modified for new academic year 2021-2022.
This new curriculum is designed to produce human resources in the research in the area
of Computer Science, Machine Learning and Deep Learning. After completion, students
will be able to work as researchers or project managers in public or private institutions.
They will also be given opportunities to receive scholarships to pursue PhD degree in
partner universities if they are outstanding students.
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Given the context, the new courses are proposed as follows:
Table 1: List of courses in the modified curriculum
No. Course Name Credits
I Core Course (11 Credits)
I.1 Advanced Algorithms and Data Structures 2
I.2 Objected-Oriented Programming 2
I.3 Calculus for Machine Learning 1
I.4 Probability and Mathematical Statistics 3
I.5 Discrete Mathematic 1
I.6 Artificial Intelligence 2
II Elective Course (8 Credits minimum)
II.1 IT Project Management 1.5
II.2 Entrepreneurship 2
II.3 Database Design and Administration 1.5
II.4 Software Engineering 2
II.5 Functional Testing and Quality Assessment 1.5
II.6 Human-Computer Interaction 2
II.7 Cloud Computing 1.5
II.8 Privacy and Data Protection 2
III Specialized Course (18 credits)
III.1 Neural Network and Deep Learning 4
III.2 Machine Learning 3
III.3 Computer Vision 3
III.4 Natural Language Processing 3
III.5 Data Mining 3
III.6 Information Security 2
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IV Research-Oriented Course (6 credits)
IV.1 Scientific Communication 2
IV.2 Research Methodology 2
IV.3 Project Management for Researching 2
Draft modified curriculum
Year 1
Semester 1
Course Code Course Name Credits
Advanced Algorithms and Data Structures 2
Object-Oriented Programming 2
Calculus for Machine Learning 1
Discrete Mathematics 3
Probability and Mathematical Statistics 1
Artificial Intelligence 2
Elective Course 1 2
Total 13
Year 1
Semester 2
Course Code Course Name Credits
Neural Network and Deep Learning 4
Machine Learning 3
Computer Vision 3
Natural Language Processing 3
Data Mining 3
Information Security 2
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Elective Course 2 2
Total 20
Year 2
Semester 1
Course Code Course Name Credits
Research Methodology 2
Scientific Communication 2
Project Management for Researching 2
Elective Course 3 2
Elective Course 4
Total 10
Year 2
Semester 2
Course Code Course Name Credits
Master Thesis and Defense 12
Total 12
4. Challenges
The common challenges the program has faced for the past few years and might be also
the same to the action plan of 2021-2022 are as follows:
Lack of human resources: Human resource to operate the program is the main
challenge since there are currently only 2 PhD lecturers in the program. We
expect there are 2 more graduated PhD lecturers by 2022.
Lack of promoting research and research activities: we currently do not have
the actual lab for the research team or any promotion their research activities
that could attract undergraduate students to engage in the research of relevant
areas such as machine learning, computer vision and natural language
processing.