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Data Science Bootcamp 2019
University of Saskatchewan
June 10 – June 21
Welcome to Saskatoon
The Department of Mathematics and Statistics at the University of Saskatchewan welcome you to
Saskatoon! We are pleased to announce that the University of Saskatchewan will hold its inaugural
Data Science Bootcamp from June 10-21, 2019.
The University of Saskatchewan’s main campus is situated on Treaty 6 Territory and the
Homeland of the Métis. The University of Saskatchewan is located in Saskatoon, Saskatchewan,
a city with a diverse and thriving economic base, a vibrant arts community and a full range of
leisure opportunities. The University has a reputation for excellence in teaching, research and
scholarly activities and offers a full range of undergraduate, graduate, and professional programs
to a student population of over 24,000.
Sponsors
We would like to thank each of the sponsors, whose generous contributions have made this
bootcamp possible:
Pacific Institute for the Mathematical Sciences (PIMS)
Canadian Statistical Sciences Institute (CANSSI)
Statistical Society of Canada (SSC)
CANSSI Saskatchewan Health Science Collaborative Centre
Vice-President (Research), University of Saskatchewan
Vice-Provost (Faculty Relations), University of Saskatchewan
Department of Mathematics and Statistics, University of Saskatchewan
General Information
Website https://math.usask.ca/data_science_bootcamp_2019/
Directions Campus map is available on the U of Saskatchewan website (https://www.usask.ca/maps/), in the
conference bag, and in the back of this program.
Welcome Reception Sunday June 9, 6:00pm – 8:00pm
GSA commons, Emmanuel & St. Chad Bldg.
1337 College Drive, Saskatoon, SK, S7N 0W6
Registration Registered participants can pick up their registration materials at the times and locations indicated
below.
Sunday June 9, 6:00pm – 8:00 pm, GSA Commons
Monday June 10, 8:15am – 9:30am, Health Science B Wing 4th Floor Lobby
Campus Security Protective Services: 306-966-5555 or 1-833-835-5050
Internet Access TBA
Food on Campus and Nearby
Marquis Culinary Centre for breakfast and lunch (buffet), Marquis Hall
Place Riel Food Court, Place Riel Student Centre (Lower Level)
Arts Cafe, main floor of the Arts Building
Subway: Kinesiology building, and 418 Cumberland Ave N, Saskatoon, SK S7N 1M6
Tim Hortons: Health Science E Wing, Arts Building Basement, Lower Marquis Hall,
Second Floor Geology Building
Starbucks: Ground floor of the Murray Library
Banquet Wednesday June 19, 6:30pm – 9:30pm
Marquis Hall, University of Saskatchewan
97 Campus Drive, Saskatoon, SK
Room All bootcamp sessions will take place in HLTH B450 (Health Science B Wing). All participants
are encouraged to attend the welcome session on June 10 from 8:30am to 9:00am.
Schedule
T1. Linglong Kong, University of Alberta: Introduction to Machine Learning
T2. Wenqing He, Western University: Statistical Analysis for High Dimensional Data
T3. Stephen Kobourov, University of Arizona: Data Visualization
C1. Shahedul Khan, University of Saskatchewan: Case Study
C2. Raymond Carroll, Texas A&M University: Case Study
C3. Lisa Lix, University of Manitoba: Case Study
C4. Nathaniel Osgood, University of Saskatchewan: Case Study
Week Date 9:30 - 11:30 AM
(Session 1)
1:00 - 3:00 PM
(Session 2)
3:30 - 5:00 PM
(Session 3)
1 10-June* T1 T1 T1
11-June T1 T1 T1
12-June C1 C1 C1
13-June T2 T2 T2
14-June T2 T2 T2
2 17-June C2 C3 T3
18-June C3 C3 T3
19-June T3 T3 T3
20-June C4 T3 T3
21-June C4 C4 Concluding
Remarks
*welcome session: 8:30am to 9:00am in HLTH B450.
Software
T1. Introduction to Machine Learning Install R from https://cran.r-project.org/.
T2. Statistical Analysis for High Dimensional Data Install R from https://cran.r-project.org/, and then install the contributed packages "e1071",
"glmnet", "lar", "RandomForest", "rpart", "SIS", and "tilting".
T3. Data Visualization Install the followings in your laptop.
1. Anaconda*
To install Anaconda, visit: https://www.anaconda.com/distribution/
Select appropriate operating system - Windows, Linux, MacOS
Download and Install python 3.7 version
* This will automatically install python, Jupyter notebook and basic libraries in your laptop.
2. Paraview**
To install Paraview, visit: https://www.paraview.org/download/
Select appropriate operating system - Windows, Linux, MacOS
Download and Install ParaView-5.6 version
** This will be helpful for the visualization of scientific data
C1. Case Study Install R from https://cran.r-project.org/, and then install the contributed packages “survival”,
“mstate”, “p3state.msm”, and “msm”.
C2. Case Study N/A
C3. Case Study Install R from https://cran.r-project.org/.
C4. Case Study TBA
Organizing Committee Shahedul Khan, University of Saskatchewan, [email protected]
Longhai Li, University of Saskatchewan, [email protected]
Juxin Liu, University of Saskatchewan, [email protected]
Annaliza McGillivray, University of Saskatchewan, [email protected]
Cindy Feng, University of Saskatchewan, [email protected]
Nathaniel Osgood, University of Saskatchewan, [email protected]
Debajyoti Mondal, University of Saskatchewan, [email protected]
Lisa Lix, University of Manitoba, [email protected]
Andrei Volodin, University of Regina, [email protected]
