FACULTY OF SCIENCE MEETING OF FACULTY Tuesday, March 18 ... · Amblyotech license (Hess, Medicine) CERC in Human Pain Genetics (Diatchenko, Dentistry and Medicine) $10M federal grant

FACULTY OF SCIENCE MEETING OF FACULTY

Tuesday, March 18, 2014 3:00 p.m.

Leacock Council Room - L232 A G E N D A

1. Adoption of Agenda 2. Presentation: (1) Research Performance (2) International Strategy -

Vice-Principal (Research & International Relations) Rosie Goldstein (Q. & A. 20 minutes)

3. Minutes of February 18, 2014 S-13-21 On Web 4. Business Arising from the Minutes 5. Report of Committee

- Academic Committee - Associate Dean Laurie Hendren S-13-22 On Web 6. Dean's Business - Report on the Tomlinson Teaching Project - Prof. David N. Harpp 7. Report on Actions of Senate - Senate Meeting of February 19, 2014 - Prof. Timothy Moore 8. Members' Question Period 9. Other Business

Report on Research Funding and Innovation

Background for Science Faculty Council March 18, 2014

Dr. Rose Goldstein Vice-Principal (Research and International Relations)

Office of the Vice-Principal (Research and International Relations)

Impact of Research Funding Performance

Allocations • Canada Research Chairs

• Canada Excellence Research Chairs

• Graduate Fellowships

• Undergraduate Awards

• Indirect Costs of Research

• Canada Foundation for Innovation Awards

Rankings and Reputation


McGill’s Research Revenue at a Glance


Sources of Research Revenue: 10-year Trend


Tri-Council Performance

McGill Results by Agency 2011-12

Overall Funding

Total Dollars

Ranking in U15

Market Share

5-year Trend in Market Share


Research Intensity

Ranking in U15*

Total Tri-

Agency

$162-million 3rd 8.5% +0.2 +0.2 2nd

CIHR $98-million 2nd 12.1% +0.2 +0.4 4th

NSERC $48-million 3rd 5.8% +0.1 +0.1 4th

SSHRC $15-million 3rd 5.8% +0.1 +0.7 1st

*McGill has solidified its 2nd place rank in research intensity.


Fonds de recherche du Québec Performance

McGill Results by Agency 2012-13

Overall Funding

Total Dollars

Ranking in Quebec

Market Share



Research Intensity

Ranking in Quebec*

FRQ $28-million 2nd 18.7% +0.8 +1.3 3rd

FRQ-S $18-million 2nd 22.5% +1.7 +2.2 3rd

FRQ-NT $6-million 3rd 17.2% -3.5 +0.4 3rd

FRQ-SC $3.4-million 4th 10.6% +2.4 +0.4 3rd

*Data only available for McGill, UdeM, and Laval


Progress Report: Diversification

Opportunities

• Commercialization

• Industry partnerships

• International funding programs

• Foundations and individuals (philanthropy)


Internationalization

Highlights • $45-million in total funding since 2008

• $29-million in funding from NIH (2008-12)

• Ranked 1st in Canada for European Commission-funded projects in FP7

Room for improvement • Mixed results in funding

from foreign sources

• Capitalizing on international collaborations


Key Initiative: International Strategy

New emphasis on International Relations

• International Strategy

• Three Pillars

1. Research Partnerships

2. Student Recruitment and International Opportunities

3. Outreach to Global Community

• Key initiatives


Commercialization

Highlights for 2011 (rank in Canada) • 98 invention disclosures (5th) • 76 new patent applications (2nd) • 31 licenses and options executed (4th) • 10 U.S. patents issued (Tied-4th) • 1 spin-off created (Tied-8th)

Room for improvement • Active licensing

• Moving discoveries to market and community


Key Commercialization Initiatives

McGill Innovation Steering Committee • Implements new innovation strategy at McGill • Stewarding a new era in innovation

Commercialization Review • Recommendations on: IP, licensing, processes, research

agreements, spin-offs

Room for improvement • Emphasis on partnerships with industry, community • Streamline patent portfolio • Simplify internal processes and researcher support for

knowledge translation


Industry Partnerships

Highlights

• $127-million from industry since 2008

• Top three sponsors: AstraZeneca, Pfizer, Novartis

Room for improvement • New areas of collaboration

• Holistic approach to

relationship management


Key Initiative: MUBEC

McGill University Business Engagement Centre (MUBEC) • One-stop portal for companies • 140 corporations engaged • 70 cross-campus referrals • 40 on-campus visits • 4 master partnership agreements • Surpassed fundraising goals for first year

Key objectives • Grow contributions of top 65

corporate partners • Engage new contributors


Foundations and Philanthropy

Highlights • $195-million awarded by foundations since 2008

• More than $1-billion raised through Campaign McGill

• Top contributors • Individual donors • Canadian Cancer Society Research

Institute • Multiple Sclerosis Society of Canada • Cancer Research Society

Room for improvement • Coordination across McGill


Research Funding Highlights 2012-13

NSERC Strategic Network (Dudek, Computer Science) $5M NSERC Automotive Partnership Canada Initiative (Boutet, Engineering) $4.3M SSHRC Partnership Grants (Yachnin, Arts; Sieber, Science) Total $9M Most NSERC Engage Grants in Quebec FRQNT Strategic Clusters (Li, Science; Gonzalez, Science) Total $7M Brain Canada Multi-Investigator Research Initiative (Murai, Medicine; El-Mestikawy, Douglas/Medicine) Total $3M

Accelerating Science Award (Pant Pai, Medicine) NSERC CREATE (Seuntjens, Medicine) $1.6M PSRv2 (Infrastructure, the Neuro/Medicine) $25M Amblyotech license (Hess, Medicine) CERC in Human Pain Genetics (Diatchenko, Dentistry and Medicine) $10M federal grant CERC in Green Chemistry (coming soon) $10M federal grant


Prizes and Awards Highlights

• 7 Royal Society of Canada Fellows and 1 Medalist

• 2 Ordre nationale du Québec Inductees

• 2 Prix du Québec

• 2 Killam Fellowships

• Sloan Fellowship

• Marcus Wallenberg Prize Winner


Research Funding Performance

Thank you

International Strategy and Framework McGill University Mission Statement

The Mission of McGill University is the advancement of learning through teaching, scholarship and service to society: by offering to outstanding undergraduate and graduate students the best education available; by carrying out scholarly activities judged to be excellent when measured against the highest international standards; and by providing service to society in those ways for which we are well suited by virtue of our academic strengths.

Vision for International Relations

To be recognized as a leading global institution conducting world-class research through international partnerships built on researcher-to-researcher collaborations; to be a destination of choice for international undergraduate and graduate students; to offer international opportunities for study, service and work for McGill students to encourage them to be global citizens; and to connect and contribute globally by drawing on the international strengths of the McGill community to support a global agenda for Montreal, Quebec and Canada.

Guiding Principles In order to achieve its vision for international relations, McGill University:

Encourages communication between key stakeholders involved in international activities both at McGill and globally;

Promotes collaboration on campus and abroad to expand McGill’s reputation as a leading global institution;

Fosters coordination among McGill units to ensure that international opportunities are strengthened to the benefit of the greater McGill community.

Pillars Pillar One: Research Partnerships Support and enhance current and future research through international partnerships built on researcher-to-researcher collaborations.

Pillar Two: Student Recruitment and International Opportunities Recruit the best and brightest undergraduate and graduate students from around the world and offer international opportunities for McGill students.

Pillar Three: Outreach to Global Community Connect and contribute globally by drawing on the international strengths of the McGill community to support a global agenda for Montreal, Quebec and Canada.

Priorities Establish country networks and profiles to identify and support collaborative research.

Coordinate institutional strategy to promote McGill as a destination of choice for foreign students.

Establish branding strategy and enhance public relations efforts to reinforce McGill’s international character.

Identify and promote international partnerships vis-à-vis McGill’s relevant research strengths.

Expand international opportunities for study, service and work to encourage students to be global citizens.

Strengthen relationships with the Quebec, Canadian and international diplomatic corps to support McGill’s priorities.

Capitalize on global research funding programs in Quebec, Canada and internationally to further enhance McGill’s international research activities.

Enhance and expand the Faculty-based online inventory of professors’ research interests to facilitate prospective students’ search for academic supervisors.

Leverage McGill’s networks and reputation to support a global agenda for Montreal, Quebec and Canada.

Support international research collaboration opportunities through philanthropy, foundations and corporate engagement.

Promote establishment of scholarships for international students through philanthropy, foundations and corporate engagement.

Engage with alumni to support international opportunities for students, recent graduates and researchers.

Monitor emerging domestic and international strategies and policies related to research priorities and funding.

Finalize McGill policy on co-tutelles and review the use of joint academic arrangements at the undergraduate and graduate level. Link international scholarship programs and differential fee waivers (DFW) with priority research collaborations.

Evaluate international business opportunities to help foreign institutions develop their educational capabilities (teaching and research).

Geographic Pr ior i t ies

Priority Countries and Regions: A Tiered Approach 1. Established Research Performers

• United States, Europe (UK, France, Germany, Italy, Netherlands, Switzerland and Sweden), Japan, Israel and Australia

2. Growing and Emerging Research Performers

• China, India, Brazil, South Korea, Russia, Poland, Turkey

3. Areas of Special Interest • Francophonie • Sub-Saharan Africa • Latin America (Mexico, Peru, Colombia, Costa Rica and Argentina) • Gulf States • Former Eastern Bloc • Islamic World • Circumpolar Region

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S-13-21

FACULTY OF SCIENCE Meeting of Faculty

Tuesday, February 18, 2014 Leacock Council Room – L232

ATTENDANCE: As recorded in the Faculty Appendix Book. DOCUMENTS: S-13-14 to S-13-20 In the temporary absence of Dean Grant, Associate Dean Hendren called the meeting to order at 3:05 p.m. (1) ADOPTION OF AGENDA Prof. Mucci moved, seconded by Prof. Hurtubise, that the Agenda be adopted. The motion carried. (2) CANDIDATES FOR DEGREES a) Bachelor of Arts and Science S-13-15 b) Bachelor of Science S-12-16 602.1 Director (Advising Services) Nicole Allard said there were 20 students graduating with the

B.A. & Sc. degree, and 154 students graduating with the B.Sc. degree, compared to 21 and 155 the previous year.

602.2 Director Allard moved, seconded by Prof. Bell, that the above degree lists be

recommended to the Senate Steering Committee for the Bachelor of Arts and Science degree, and for the Bachelor of Science degree

The motion carried. c) Diploma in Environment S-12-17 d) Diploma in Meteorology S-12-18 There were no students for the above Diplomas. 602.3 Director Allard further moved, seconded by Mr. Barry, that the Dean be given

discretionary power to make such changes in the degree list as would be necessary to prevent injustice.

The motion carried.

602.4 Director Allard thanked everyone involved with the graduation lists. (3) MINUTES OF DECEMBER 3, 2013 S-13-14 Prof. Gyakum moved, seconded by Prof. Damha, that the Minutes be approved. The motion carried. (4) BUSINESS ARISING FROM THE MINUTES

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There was no business arising from the Minutes.

(5) REPORTS OF COMMITTEES a) Academic Committee S-13-19

The Academic Committee approved the following on Tuesday, January 28, 2014: COURSE CHANGES 1. Chemistry

CHEM 493 Adv Phys Chem Lab AC-13-52 Renumbered from [-393]; title, description, pre/co-requisite, restriction 3 credits

605.1 Associate Dean Hendren explained that the changes were a consequence of ongoing

updates to the course. These required renumbering and pre/co-requisite changes. Associate Dean Hendren moved, seconded by Prof. Damha, that the changes be

approved. The motion carried. 2. Computer Science

COMP 691 Thesis Research 1 AC-13-53 Credit weight change from 2 credits 3 credits

605.2 Associate Dean Hendren said that the change was necessary to fulfill the requirement of

24 credits of thesis courses. Associate Dean Hendren moved, seconded by Prof Panangaden, that the change be

approved. The motion carried. PROGRAM CHANGES 1. Computer Science

- M.Sc. in Computer Science AC-13-54 - M.Sc. in Computer Science - Bioinformatics Option AC-13-55 - M. Sc. in Computer Science - Computational Science & Engineering Option AC-13-56

605.3 Associate Dean Hendren said that COMP 601, Thesis Literature Review, was being

reinstated, and the credit weight of courses readjusted to fulfill the 45-credit requirement for M.Sc. programs.

Associate Dean Hendren moved, seconded by Prof Panangaden, that the above

program changes be approved. The motion carried. 2. Biology

3

- Honours in Biology AC-13-57 605.4 Associate Dean Hendren explained that the major changes were clarification of the

minimum and maximum number of credits for the degree, and the addition of requirements for 1st Class Honours. As well, the program course lists have been reformatted.

Associate Dean Hendren moved, seconded by Prof. Bell, that the changes be approved. The motion carried. Program Retirement - Ph.D. in Biology - Developmental Biology AC-13-58 605.5 Associate Dean Hendren reminded members that programs or options with low or zero

enrolment should be retired. Associate Dean Hendren moved, seconded by Prof. Bell, that the retirement be

approved. The motion carried. OTHER (For Information) - Proposed Revisions on Policy on Course Evaluations AC-13-59

605.6 Associate Dean Hendren said that the proposed revisions had been reviewed and had

received feedback from Academic Committee members and from chairs/directors. 605.7 She said the highlights of the revisions were:

the default period for course evaluations would now be the end of the examination period, but departments could change this

provided an adequate response rate had been achieved, the default would be for course evaluations to be made available to students and staff, but instructors could opt out

of the four core questions, two would refer to TAs rather than the instructor if the course had TAs. (Some of the feedback thought that all four questions should refer to the instructor, and that there should be a separate TA section.)

(6) DEAN’S BUSINESS - Dean's Multidisciplinary Undergraduate Research List S-13-20

606.1 Director Allard said that the DMURL recognizes students who have completed at least 9

credits of graded research-based courses in a minimum of two departments. She said that four B.Sc. students in the above degree list would be graduating with this honour. For the first time, a B.A. & Sc. student would be listed on the DMURL.

606.2 Dean Grant said that half of B.Sc. graduates had completed one significant research

course. (7) REPORT ON ACTIONS OF SENATE

4

Please note that the entire Minutes of Senate are available on the Web at https://www.mcgill.ca/senate/senate-2013-2014/senate-meeting-documents-2013-2014

- Senate Meeting of December 4, 2013 - Prof. Jacques Hurtubise Principal’s remarks. The principal gave a summary of her presentation to the Quebec

parliamentary commission on higher education. In her visit to Quebec, she emphasized how McGill contributes to Quebec society. She then discussed the upcoming revision of the funding formula, requesting fairness, openness and transparency. She expressed our pleasure with Quebec’s new research and innovation plan. She was questioned about the charter; she reiterated the University’s commitment to diversity, and raised the question of the risk of reducing the attractiveness of Quebec to international talent. She also made representations about the uptick in the language proficiency requirement for faculty moving here from abroad, pointing out that it was a rather steep requirement.

Question period: There followed questions about the high level of tuition fees for international students, and its impact on diversity. The Provost’s detailed response emphasized the increased level of student aid arising from the high fees, as well as recalling the fact that McGill’s fees were lower than Toronto’s.

Reports: Vice-principal De Grappa gave a report on the financial state of the University. Some highlights: Enrolment has risen by 2.5 to 3.5% yearly in the past three years, rising to 38000 students in the fall of 2012; science is about 15% of the total. Current tenure track complement is 1642, with about 3500 support staff as well. The total income of the university is about 1.18Bn, of which 739M is operating revenue. 39% of the revenue comes from Quebec; its operating grant went down by 26M last year.

The Provost gave a report on budget planning: the anticipated deficit for 2013 was 29M, the actual deficit will be closer to 13.1M; the deficit for 2014 seems lined up to be 10.4M. The government has promised a reinvestment of 1.76Bn in the university system over the next five years. The general consensus seems to be that holding one’s breath would be foolish. One point of emphasis for the new budget seemed to be a closer look at the various unit budgets.

The presentation by Martin Kreiswirth, on graduate studies at McGill, discussed various initiatives: Graphos, (writing initiative), PhD tracking, the Uapply application system, the Supervision initiative (improving supervision, with its own website, which has been up for the last 4 months.)

Associate Provost White presented the new Harassment and Discrimination Policy, which was approved by Senate. She then presented a proposal to add a Subcommittee on Family Care to the Joint Board Senate committee on Equity, which passed.

The Provost presented for information the annual report by the Academic Policy Committee, as well as a report on the last meeting. He also presented the report of the Nominating committee. The annual report of the Library committee was then presented. Finally, Senate went into confidential session to vote on Honorary Degrees.

- Senate Meeting of January 22, 2014 - Prof. Gregory Dudek There were minor changes to the tenure & promotion regulations. They included some

changes to the dates (during the calendar year) when various documents need to be filed (e.g. list of externals required by May 1st instead of June 15), and a change to the rules for promotion to Full Professor that increases the list of names to 8 and the number of letters required to 4.

5

See: http://www.mcgill.ca/senate/sites/mcgill.ca.senate/files/5._d13-38_proposed_changes_to_regulations_employment_tenure_track_and_tenured_acdemic staff_regs_employment_librarian_staff_with_appendices.pdf

McGill is currently running it's first official MOOC. It's a course offered via EdX, does not include formal McGill credit, and is being run by David Harpp et al. and it has about 21,000 students. https://www.edx.org/course/mcgillx/mcgillx-chem181x-food-thought-1213 Description: http://publications.mcgill.ca/reporter/2013/10/mcgill-moves-into-the-brave-new-world-of-moocs/

Annual Enrolment Report: - Proportion of graduate students relative to undergraduates has increased a bit (intentionally). - Top countries our non-Canadians come from are the USA, France and China (in that order). Undergraduate body count is up 1.4%. - In 2013 we had students from Afghanistan to Zimbabwe (so we spanned alphabet, although I think we had nobody from Burundi, Cuba or Kyrghyzstan, so we didn't quite hit every single country). - During the admissions process, the yield rates (and thresholds) are dynamically recomputed (to some extent). Full statistics here: http://www.mcgill.ca/es/registration-statistics/

(8) MEMBERS’ QUESTION PERIOD There were no members’ questions. (9) OTHER BUSINESS There being no further business, the meeting adjourned at 3:33 p.m.

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S-13-22 FACULTY OF SCIENCE ACADEMIC COMMITTEE

Report to Faculty of Science Meeting of March 18, 2014 The Academic Committee approved the following on Tuesday, February 25, 2014:

(1) Biology - New Course BIOL 580 Genet Approaches to Neur Syst AC-13-79 3 credits This course will be added as a Complementary course to the following programs: - B.Sc. Major and Honours Programs in Neuroscience - B.Sc. Major in Biology and Mathematics (Neurosciences Stream) - New Course BIOL 598 Advanced Design and Statistics AC-13-80 3 credits - Course Changes BIOL 342 Contemp Topics in Aquatic Ecol AC-13-81 Title, Description 3 credits Program Changes: - Major in Biology AC-13-82 (2) Physiology - Honours in Physiology AC-13-26 - Major in Physiology AC-13-27 - Liberal - Core Science Component in Physiology AC-13-28 (3) Mathematics & Statistics Proposed Changes to the Undergraduate Analysis Courses AC-13-63 - New Course MATH 254 Honours Analysis 1 AC-13-64 3 credits - Course Changes MATH 242 Analysis 1

Restrictions AC-13-65 3 credits

MATH 243 Analysis 2 AC-13-66 Description 3 credits MATH 255 Honours Analysis 2 AC-13-67 Prerequisites, Description 3 credits MATH 354 Honours Analysis 3 AC-13-68 Description 3 credits MATH 355 Honours Analysis 4 AC-13-69 Description 3 credits MATH 356 Honours Probability AC-13-70 Prerequisites, Corequisites 3 credits

2

MATH 587 Advanced Probability Theory 1 AC-13-71 Prerequisites 4 credits B.Sc. Program Changes: Proposed Changes to the Undergraduate Honours Program in Probability and Statistics AC-13-72 - Honours in Applied Mathematics AC-13-73 - Honours in Mathematics AC-13-74

- Honours in Mathematics & Physics AC-13-75 - Honours in Probability and Statistics AC-13-76 - Honours in Statistics and Computer Science AC-13-77 - Joint Honours in Mathematics and Computer Science AC-13-78

(4) Other (For Information) - Participation Trends In Undergraduate Research Courses AC-13-62 - Mathematic & Statistics B.A. Program Changes - Honours in Probability and Statistics - Honours in Statistics and Computer Science - Joint Honours Component Mathematics

Proposal ReferenceNumber

: 8328

PRN Alias : 13-14#1741Version No : 6Submitted By : Prof Shelton

HendricksEdited By : Ms Josie D'Amico

Display Printable PDF

New Data

Program Affected? Y

Program Change FormSubmitted?

N (Simple Change) - Add BIOL 580 under OtherComplementary Courses in sub-section "400- and500--level courses," in the B.Sc. Major and HonoursPrograms in Neuroscience. Also, add BIOL 580 in theB.Sc. Major in Biology and Mathematics underNeurosciences Stream under "At least 12 creditsselected from."

Subject/Course/Term BIOL 580

one term

Credit Weight or CEU's 3 credits

Course Activities Schedule Type Hours per week

A - Lecture 1

M - Seminar 2

Total Hours per Week : 3Total Number of Weeks : 13

Course Title Official Course Title:

Genet Approaches to NeurSyst

Course Title inCalendar :

Genetic Approaches toNeural Systems

Rationale This course will add to the neurobiology offerings inthe Department of Biology and provide a neededaddition to the courses available to graduate studentsand senior undergraduates. The material covered isfrom the primary literature, and will encompass newadvances in methodologies in the fast-moving field ofneuroscience. This will familiarize current graduatestudents to cutting edge techniques relevant to theirresearch, and expose advanced undergraduates tocontemporary neuroscience tools.

Responsible Instructor

Course Description This course will focus on recent research employinggenetic-based methods to examine the functional andstructural properties of the nervous system. The focus

https://horizon.mcgill.ca/pban1/bzskcpwf.p_display_form?form_mode=V...

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will be on approaches for studying neural circuits andbehavior in a range of model organisms. Topics willinclude recent technological advances, such asoptogenetics for modifying and controlling neuronalactivity, and animal models of neurological diseases.Students will critically analyze the application of thesemethods to current research through in-classdiscussion of primary literature, student presentations,and written assignments.

Teaching Dept. 0286 : Biology

Administering Faculty/Unit SC : Faculty of Science

Prerequisites BIOL 306 or permission of the instructors.Web Registration Blocked? : N

Corequisites

Restrictions

Supplementary Calendar Info

Additional Course Charges

Campus Downtown

Projected Enrollment 18

Requires Resources NotCurrently Available

N

Explanation for RequiredResources

Required Text/ResourcesSent To Library?

Library Consulted AboutAvailability of Resources?

Consultation ReportsAttached?

Effective Term ofImplementation

201409

File Attachments BIOL580 syllabus 17 Feb 2014.docx View

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For Continuing Studies Use

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McGill Biology Department

Guidelines for the Course Proposal/Change Form

CONSULTATION REPORT FORM

RE: COURSE / PROGRAM PROPOSALS DATE: ____Feb 14 2014_______________________________________ TO: ___IPN c/o Katherine Vanka—[email protected] FROM: _Nancy Nelson, Biology Advisor____________________________________ The attached proposal has been submitted to the Curriculum/Academic Committee, and it has been decided that your department should be consulted. Course #: ___BIOL 580, Genetic Approaches to Neuronal Systems Would you be good enough to review this proposal and let me know no later than __Feb 20 2014___________ , on this form, whether or not your department has any objections to, or comments regarding, the proposal.

_____X_____ NO OBJECTIONS __________ SOME OBJECTIONS COMMENTS: While the proposed course may overlap with some of the material covered in our core

courses (Principles of Neuroscience 1 and 2) in the integrated program for Neuroscience (IPN), this

overlap is minimal. Further, the structure and content of the proposed course is more advanced and

detailed than that in our core courses, and will be of interest and value to our IPN students pursuing

studies on gene-environment interactions that influence both normal neurodevelopment and

impaired function. I foresee no problems in recruiting a sufficient number of interested IPN students

to guarantee minimum critical mass. The structure and evaluation methodology proposed is most

appropriate for a graduate –level course. There are no concerns on either pedagogical or

administrative grounds. There is no puzzle, however: As stated the course is designed exclusively for

graduate students. However, my understanding is that 500-level courses are open to both graduate

and upper-level undergraduate students. Some clarification of the misalignment between the targeted

student population and the McGill course numbering system is called for.

Signature: Joe Rochford, IPN Associate Director and Co-Chair of the IPN Curriculum committee Date: Feb 17, 2014__________________________________________

BIOL 580 – Genetic Approaches to Neural Systems

Instructors: Michael Hendricks (Coordinator) Office: Stewart W5/11 (by appointment)

[email protected]

514-398-6581

Alanna Watt Office: Bellini 265 (by appointment)

[email protected]

514-398-2806

Prerequisites: BIOL 306 or permission of the instructors.

Projected enrollment: 15-20

Description: This course will focus on recent research employing cutting-edge genetic tools to

examine the functional and structural properties of the nervous system. The focus will be on genetic

methods for studying neural circuits and behavior, in a range of model organisms. Topics will

include recent technological advances, such as optogenetics for modifying and controlling neuronal

activity, and animal models of neurological diseases. Students will critically analyze the application

of these methods to current research through in-class discussion of primary literature, student

presentations, and written assignments.

Evaluation:

Class participation: 15%

Oral presentation 30%

Written assignments 25%

Term paper 30%

Lecture:

There is no textbook for the course. Background lectures will be given on specific topics, but the

focus of the class will be on discussion and critical evaluation of primary research articles. These

articles will be selected from the recent literature and will be provided at the beginning of the course.

Presentations:

During the course, each student will select a research article (either from a list provided or one they

select on their own, with approval), prepare a ~20-30 minute presentation on the background, key

methodologies, and findings and lead a discussion on the paper. All members of the class will be

expected to have read the paper independently, and to be prepared to ask questions and discuss the

article, which will form the basis of the class participation component to the class evaluation.

Written assignments:

Each paper discussed in class will be accompanied by a set of short answer questions, due before

class.

mailto:[email protected]

mailto:[email protected]

Term paper:

This assignment will take the form of a short review article that relates to a topic (either a technical

method or area of research) covered in the class. The length should be 2000-2500 words. The paper

may include (original) figures and should cite a minimum of 15 sources. Potential topics will be

provided, or you may propose your own topic. An outline, summary paragraph, and reference list is

due two weeks prior to the paper due date.

Participation:

This course seeks to engage students in critical discussions of the primary literature. Participation

and attendance is therefore essential, and will be assessed for each class discussion. The instructors

will confer immediately following each class to determine the assessment for each student.

0 – Absent

5 – Present but little or no participation

15 – Active participation

Topics:

We expect that topics will change from year to year as research progresses in these rapidly-moving

fields.

Week 1: Review of fundamentals of neurobiology

Week 2: Review of fundamentals of neurogenetics

Week 3: Model Organisms in Neuroscience

Week 4: Genetically encoded markers, probes, and sensors

Week 5: Optogenetics and DREADDs

Week 6: Genome editing and manipulation

Week 7: Neurological disease models

Week 8: Presentations / Seminar






McGill University values academic integrity. Therefore all students must understand the meaning

and consequences of cheating, plagiarism and other academic offences under the Code of Student

Conduct and Disciplinary Procedures (see www.mcgill.ca/integrity for more information).

In accord with McGill University’s Charter of Students’ Rights, students in this course have the right

to submit in English or in French any written work that is to be graded.

http://www.mcgill.ca/integrity/

Proposal Reference Number : 8298PRN Alias : 13-14#1711Version No : 1Submitted By : Dr. Jon Sakata


New Data

Program Affected? N


Subject/Course/Term BIOL 598

one term

Credit Weight or CEU's 3 credits


M - Seminar 3


Course Title Official Course Title : Advanced Design andStatistics

Course Title inCalendar :

Advanced Design andStatistics

Rationale BIOL 598 is a single course that merges BIOL 596(Advanced Experimental Design: 1 credit) and 597(Advanced Biostatistic: 2 credits). Instead of turningthe existing 596 or 597 courses into a 3-credit course, Iwould like to create a new course (BIOL 598) and keepthe option of holding BIOL 596 and 597 as separatecourses across different semesters on subsequentyears. This allows for flexibility across years and fieldseasons. While it is feasible to offer 596 and 597 in thesame semester, this can make evaluation of thestudents and the instructors cumbersome.

Responsible Instructor

Course Description This course will address issues related to experimentaldesign and multivariate statistical analysis. The firstthird of the course will focus on experimental design,and the remainder of the course will focus onmultivariate approaches to data analysis. The courseis designed to inform students on best practices toanalytically address their experimental questions.

Teaching Dept. 0286 : Biology



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Prerequisites BIOL 373 and permission of InstructorWeb Registration Blocked? : N

Corequisites

Restrictions Not open to students who have taken or are takingBIOL 596 and/or BIOL 597

Supplementary Calendar Info This course is equivalent to taking BIOL 596and BIOL 597

1.


Campus Downtown



N






201501

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1 Submitted toDepartmental Meetingfor approvalCreated on: Feb 192014


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Advanced Design & Biostatistics BIOL 598 (3 credits) Time: T, TH 9:30-11:00 Location: TBD Professor: Jon Sakata (ph: 3636; [email protected]) Office Hours: by appointment Course registration and prerequisites: Prior instruction (e.g., BIOL 373) in statistics and consent of instructors is required. Space is limited to 15 students. Course Syllabus for BIOL 598 These courses are designed for graduate students and upper-level undergraduates planning for data collection and in the midst of data analysis. The first four weeks focuses on experimental design and is designed to help students with the specific challenges that they are facing (or will be facing) in their own research. The remaining eight weeks will focus on data analysis, in particular multivariate statistics and will help students analyze their own data. The goal of the course is to provide students with a broad overview of the range of statistical tools available rather than in-depth explanations of a few specific methods and will be focused on concepts over implementation (though I will address implementation as much as possible). The course will consist of formal lectures, critiques of scientific papers, homework assignments, and student presentations. Readings will be primarily from Gotelli & Ellison, 2012, A primer in ecological statistics. This book is well written and very accessible. It covers topics in experimental design as well as multivariate statistics. These readings will be supplemented with PDFs posted on myCourses. TENTATIVE COURSE SCHEDULE Dates Topics Responsible/Readings Sept 6 -Introduction to professor, students (i.e., brief presentation

of their research questions), and the course -Principles of experimental design: Statistical populations, Randomization, Confounding, Replication, Block and Hierarchical designs -Example of one-page summary of experimental design

Sakata Chapters 3, 4,& 6

Sept 13 -Principles of experimental design: Block and Hierarchical designs, Nesting, Repeated Measures, Sample Size and Power -Example of presentation of experimental design

Sakata Chapter 6 & 7

Sept 20 -Student presentation of own experimental design Students Sept 27 -Student presentation of own experimental design Students Oct 4 -ANOVA and regression models, ANCOVA Sakata

Chapters 8, 9 & 10 Oct 11 -MANOVA, Repeated Measures ANOVA, multivariate

regression -Ordination (e.g., principal components analysis, multidimensional scaling, distance metrics);

Sakata Chapter 12 PDFs

Oct 18 -Monte Carlo and randomization techniques, bootstrapping, jackknife, Mantel test

Sakata Chapters 12 & 5

Oct 25 -Cluster analysis -Information theoretical approaches

Sakata PDFs

Nov 1 -Bayesian statistics Chivers PDFs

Nov 8 -Canonical correspondence analysis, RDA, path analysis Potvin Nov 15 -GLM Students Nov 22 -Presentation of student analysis Students Nov 29 -Presentation of student analysis Students

EVALUATION AND TIME LINE: Assignments are to be submitted through MyCourses and are due at the beginning of class. Grades will be reduced by 15% each week the assignment is late. Grades will be based on both oral and written assignments as per the table below. 1-page summary of research question and hypothesis (written)

5%

Student presentation of own design (oral) 10% Written report of own design 10% Homework assignments 25% Conference-style presentation of own data analysis (oral)

20%

Written report on implementation of data analysis incorporating input

20%

Participation 10% 1-page summary of research question and hypothesis (5%): The first key step in developing an adequate experimental design is to (a) clearly formulate the global objective, (b) state the hypothesis and (c) define the experimental/observational systems. This first assignment aims at describing the experimental system and presenting the hypothesis. This assignment is not meant for students to formalize their experimental designs; that will be the point of the written report. Rather, for this first assignment, students should provide a clear and concise document about the primary research questions and objectives as well as key references on which they will build their research. Student’s presentation of own design (10%): Each student will present her/his research ideas and a proposed design. They will have 20 minutes in total, 15 minutes for the presentation and 5 minutes for questions and answers. The design will be scrutinized by the class to ensure that it will meet the objectives of the research. The design proposal should include preliminary ideas on how the data might later be analyzed. The oral presentation will serve to help student summarize the relevant literature, explain their design, and receive constructive feedback. In creating your presentation, make sure to address the following questions: (1) What are the scientific objectives of the study? (2) Do you present sufficient information to understand the experimental system? (3) Is the design adequate to test the hypotheses of interest? (4) Do you adequately use randomization and replication? (5) What are potential confounding variables?

Written report on own design incorporating input (10%): The written report should summarize the presentation and reflect the input received during the oral presentation. As much as possible, the paper should reflect the ideas written in the first assignment. It should be written in the format of a journal in the student’s relevant field. If the journal presents very scant methodology, additional necessary information to judge the quality of the design should be presented as supplementary material (e.g. high profile journals such as Science). Homework assignments (25%) Five homework assignments will be given to ensure students know how to implement key univariate and multivariate statistics. Students will be provided with a dataset and asked to conduct particular analyses to address specific research questions. Oral presentation of own data analysis (20%): Each student will explain to the class how s/he plans to analyze her/his data. The presentation should follow the guidelines of international conferences and will serve to hone one’s communication and presentation skills and practice for seminars or qualifying exams. Students will justify their choices of analytical approaches and verify the assumption of these analyses. They should also succinctly but clearly explain the chosen methods and provide enough information to allow the audience to judge the validity and relevance of the approach. Feedback will be given by professors as well as other students. Students will be graded individually on the quality of their presentation, the clarity of the explanation of their methods, the completeness of the information provided, and the validity of statistical approaches. Presentations will be 20-25 min, with 5-10 minutes for questions (i.e., ~30 min in total). Written report of own analysis (20%): The written report should integrate the learning of the course and reflect the input received during the earlier discussion. It should be written in the format of a journal in the student’s relevant field, max 10 pages, double –spaced, and should focus on the analysis of the data. Participation (10%): Students are encouraged to ask questions during class and during student presentations and encouraged to participate in group discussions about experimental approaches and statistical techniques. People have diverse academic backgrounds, and providing feedback to colleagues in different fields about statistical and experimental approaches can be very helpful. Workshop in R This course is design to complement the efforts of the graduate students in the Department of Biology to provide instruction on the use of R. We will not provide formal training with any statistical software package, including R, and encourage students to attend these and other workshops to help implement their analyses.

Notices:

Academic Integrity: "McGill University values academic integrity. Therefore, all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures (see www.mcgill.ca/students/srr/honest/ for more information).(approved by Senate on 29 January 2003)

Language of written work: In accord with McGill University’s Charter of Students’ Rights, students in this course have the right to submit in English or in French any written work that is to be graded.

Disabilities: If you require special accommodations, please notify the instructor during the first 2 weeks of class.

(Natural) Disasters: In the event of extraordinary circumstances beyond the University's control, the content and/or evaluation scheme in this course is subject to change.

Copyright: © Instructor generated course materials (e.g., handouts, notes, summaries, exam questions, etc.) are protected by law and may not be copied or distributed in any form or in any medium without explicit permission of the instructor.† Note that infringements of copyright can be subject to follow up by the University under the Code of Student Conduct and Disciplinary Procedures.

Sustainability: "McGill has policies on sustainability, paper use and other initiatives to promote a culture of sustainability at McGill." (See the Office of Sustainability.)

P2-1

Program/Major or Minor/Concentration Revision Form

(07/2004)

1.0 Degree Title Specify the two degrees for concurrent degree programs

2.0 Administering Faculty/Unit

Offering Faculty/Department

1.1 Major (Legacy= Subject) (30-char. max.)

3.0 Effective Term of revision or retirement

1.2 Concentration (Legacy = Concentration/Option) If applicable (30 char. max.)

Please give reasons in 5.0 “Rationale” in the case of retirement (Ex. Sept. 2004 = 200409) Retirement

Term:

1.3 Minor (with Concentration, if applicable) (30 char. max.)

4.0 Existing Credit Weight

Proposed Credit Weight

1.4 Category 5.0 Rationale for revised program

Faculty Program (FP)

Major X

Joint Major

Major Concentration (CON)

Minor

Minor Concentration (CON)

Honours (HON)

Joint Honours Component (HC)

Internship/Co-op

Thesis (T)

Non-Thesis (N)

Other

Please specify

1.5 Complete Program Title

6.0 Revised Program Description (Maximum 150 words)

Bachelor of Science

Science/Biology

Science/Biology

201409

59

Clarification of the minimum and maximum number of credits. Rearrangement of Required and Complementary course lists for greater clarity. Specification that students must take 6 Complementary credits at the 400-level or above.

59

B.Sc. Major in Biology

Program/Major or Minor/ Concentration Revision Form P2-2

7.0 List of existing program and proposed program

Existing program (list courses as follows: Subj Code/Crse Num, Title, Credit weight, under the headings of: Required Courses, Complementary Courses, Elective Courses)

Proposed program (list courses as follows: Subj Code/Crse Num, Title, Credit weight, under the headings of: Required Courses, Complementary Courses, Elective Courses)

Major in Biology (59 credits) U1 Required Courses (18 credits) BIOL 200 Molecular Biology (3 credits) BIOL 201 Cell Biology and Metabolism (3 credits) BIOL 202 Basic Genetics (3 credits) BIOL 205 Biology of Organisms (3 credits) BIOL 206 Methods in Biology of Organisms (3 credits) BIOL 215 Introduction to Ecology and Evolution (3 credits) U2 or U3 Required Course (4 credits) BIOL 301 Cell and Molecular Laboratory (4 credits) Complementary Courses (37 credits) Students complete a minimum of 36 credits or maximum of 37 credits selected as follows: U1 Complementary Course * Students who have already taken CHEM 212 or its equivalent will choose another appropriate complementary course, to be approved by the Adviser. CHEM 212 Introductory Organic Chemistry 1 (4 credits) * U2 or U3 Complementary Courses 12 credits selected from: BIOL 300 Molecular Biology of the Gene (3 credits) BIOL 303 Developmental Biology (3 credits) BIOL 304 Evolution (3 credits) BIOL 306 Neural Basis of Behaviour (3 credits) BIOL 308 Ecological Dynamics (3 credits) Other Complementary Courses 21-24 credits selected in consultation with the Program Adviser. All courses must be at the 300 level or higher; they are to include Biology courses of which at most three courses may be substituted, given the Adviser's consent, with science courses offered by other departments. Unless required by the Major, prerequisites for these courses must be taken as electives.

Major in Biology (59 credits) Required courses (25-26 credits): BIOL 200 (3) Molecular Biology BIOL 201 (3) Cell Biology and Metabolism BIOL 202 (3) Basic Genetics BIOL 205 (3) Biology of Organisms BIOL 206 (3) Methods in Biology of Organisms BIOL 215 (3) Introduction to Ecology and Evolution BIOL 301 (4) Cell and Molecular Laboratory CHEM 212*(4) Introductory Organic Chemistry 1 *If a student has already taken CHEM 212 or its equivalent, the credits can be made up with a 3- or 4-credit complementary course to be approved by the Biology Adviser. Core complementary courses (12 credits): 12 credits selected from: BIOL 300 (3) Molecular Biology of the Gene BIOL 303 (3) Developmental Biology BIOL 304 (3) Evolution BIOL 306 (3) Neural Basis of Behaviour BIOL 308 (3) Ecological Dynamics Other Complementary Courses (21 credits): 21 credits of Biology courses at the 300+ level, of which 6 credits must be at the 400+ level. With permission of the Biology Adviser, up to 9 credits may be taken from other Science department courses (300+-level).

Attach extra page(s) as needed

Proposed Changes to the Undergraduate Analysis Courses

I. Creation of a new course MATH 254: Honors Analysis 1.The current undergraduate analysis stream starts course starts with MATH 242. This

course has faced a dramatically increased enrolments (2007: 92 students; 2008: 139 stu-dents; 2009: 136 students; 2010: 135 students; 2011: 183 students, 2012: 193 students;2013: 188 students). Due to the increased enrolment and variety of the programs it is serv-ing now, the course has been become unsuitable for our honors programs in the faculties ofscience and arts. The goal of the proposed course is to remedy this situation. The proposedsyllabus for this course is similar to the MATH 242 syllabus, but it will be covered in moredepth and accompanied by more difficult assignments. The step between the two courses,however, will be kept relatively small to enable students to move freely between one andthe other, while allowing the students ”trying ground” whether they would prefer the hon-ors or the majors program. The students in MATH 254 will be allowed a late transfer toMATH 242 (the courses will be offered at the same time). The students who have takenMATH 242 and performed sufficiently well can continue with honors program.

Syllabus for MATH 254: Properties of R. Cauchy and monotone sequences, Bolzano-Weierstrass theorem. Limits, limsup, liminf of functions. Pointwise, uniform continuity:Intermediate Value theorem. Inverse and monotone functions. Differentiation: Mean Valuetheorem, L’Hospital’s rule, Taylor’s Theorem.

II. The change of syllabus for the analysis stream courses.New syllabus:MATH 243: Analysis 2. Definition and properties of Riemann integral, Fundamen-

tal Theorem of Calculus, Taylor’s theorem. Infinite series: alternating, telescoping series,rearrangements, conditional and absolute convergence, convergence tests. Power series andTaylor series. Elementary functions. Introduction to metric spaces.

MATH 255: Honors Analysis 2. Basic point-set topology, metric spaces: openand closed sets, normed and Banach spaces, Holder and Minkowski inequalities, sequen-tial compactness, Heine-Borel, Banach Fixed Point theorem. Riemann-(Stieltjes) integral,Fundamental Theorem of Calculus, Taylor’s theorem. Uniform convergence. Infinite series,convergence tests, power series. Elementary functions

MATH 354: Honors Analysis 3. Review of point-set topology: topological space,dense sets, completeness, compactness, connectedness and path-connectedness, separabil-ity. Arzela-Ascoli, Stone-Weierstrass, Baire category theorems. Measure theory: sigmaalgebras, Lebesgue measure and integration, L1 functions. Fatou’s lemma, monotone anddominated convergence theorem. Egorov, Lusin’s theorems. Fubini-Tonelli theorem.

MATH 355: Honors Analysis 4. Continuation of measure theory. Functional anal-ysis: Lp spaces, linear functionals and dual spaces, Hahn-Banach theorem, Riesz represen-

1

tation theorem. Hilbert spaces, weak convergence. Spectral theory of compact operator.Introduction to Fourier analysis, Fourier transforms.

The rationale. With some minor (instructor depending) variations, this syllabuscorrespond to what has been taught in Analysis 3 and 4 over the last seven years. Theproposed Analysis 2 syllabus was taught in 2010 with great success and allows for any easytransition to more sophisticated topics of Analysis 3 and 4. The request to formalize thechange of syllabus came from SUMS.

The current syllabus is:MATH 242: A rigorous presentation of sequences and of real numbers and basic prop-

erties of continuous and differrentiable functions on the real line.MATH 243: Infinite series; series of functions; power series. The Riemann integral in

one variable. A rigorous development of the elementary functions.MATH 255: Series of functions including power series. Riemann integration in one

variable. Elementary functions.MATH 354: Introduction to metric spaces. Multivariable differential calculus, implicit

and inverse function theorems.MATH 355: Lebesque measure, integration and Fubini’s theorem. Abstract measure

and integration. Convergence theorems. Introduction to Hilbert spaces, L2 spaces, Fourierseries. Fourier integrals (if time allows).

2

Proposal Reference Number : 8148PRN Alias : 13-14#1561Version No : 2Submitted By : Ms Angela WhiteEdited By : Ms Josie D'Amico


New Data

Program Affected? Y


Y

Subject/Course/Term MATH 254

one term

Credit Weight or CEU's 3.00 credits


A - Lecture 3

OT - Optional Tutorial 1


Course Title Official Course Title : Honours Analysis 1

Course Title in Calendar : Honours Analysis 1

Rationale Due to the increase enrollment of MATH 242 Analysis1 and the variety of programs it is servicing now, thecourse has become unsuitable for our Honoursprograms in the Faculties of Science and Arts.Therefore we wish to create a new course MATH 254Honours Analysis 1 for students in our honoursprograms.

Responsible Instructor Staff

Course Description Properties of R. Cauchy and monotone sequences,Bolzano- Weierstrass theorem. Limits, limsup, liminf offunctions. Pointwise, uniform continuity: IntermediateValue theorem. Inverse and monotone functions.Differentiation: Mean Value theorem, L'Hospital's rule,Taylor's Theorem.

Teaching Dept. 0290 : Mathematics and Statistics


Prerequisites MATH 141 Calculus 2Web Registration Blocked? : N

Corequisites


1 of 2 20/02/2014 4:42 PM

Restrictions Not open to students who are taking or who havetaken MATH 242 Analysis 1

Supplementary Calendar Info


Campus Downtown



N






201409

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2 Approved byDepartmentalChairEdited by: JosieD'Amicoon: Feb 20 2014

1 ApprovedVojkan JaksicMeeting Date: Jan20 2014Approval Date:Feb 6 2014View Comments

ApprovedRaffaella BrunoMeeting Date: Jan13, 2014Approval Date:Feb 7 2014View Comments

Approved byDepartmentalChairCreated on: Feb 62014


2 of 2 20/02/2014 4:42 PM

From: Guy Moore <[email protected]> Subject: Re: new course Honours Analysis I Date: January 27, 2014 at 3:11:37 PM EST To: Vojkan Jaksic <[email protected]> Cc: Fritz Buchinger <[email protected]> Sorry Vojkan, I don't have a problem with the proposal, and I brought it up with our Undergraduate Curriculum Committee and didn't hear any negative comments (though most people didn't answer at all). As far as I see, the only physics people who will be affected are people who have already decided to take the Joint Honours Math/Physics sequence (our regular Honours and Majors students don't take Analysis). For these people, it means their Analysis courses will be Honours starting with the first rather than the second course. This is an advantage both in terms of the class size and the topics covered. So physics is in favor, and you can accept this email as a consultation report unless you need something more formal. Guy Moore (chair Physics Undergraduate Curriculum Committee)

From: "Bettina Kemme" <[email protected]> Subject: Re: 400/500-level Courses in Undergraduate Programs Date: February 4, 2014 at 11:15:48 AM EST To: "Vojkan Jaksic" <[email protected]> Cc: "Bettina Kemme" <[email protected]>, "Prof. Laurie HENDREN" <[email protected]>, "Josie D'Amico" <[email protected]>, "Malek Yalaoui" <[email protected]>, "Jacques Hurtubise" <[email protected]>, "Axel Hundemer" <[email protected]>, "Raffaella Bruno, Ms." <[email protected]> Within this add-on in the course description and program descriptions, the School of Computer Science will support the proposed changes. Bettina

MATH 254, FALL 2014, Honours Analysis 1

Instructor: Vojkan Jaksic, BURN 1222, 398-3827, [email protected]

Office hours : To be announced.

Web page : www.math.mcgill.ca/~jaksic/MATH254.html Course documents will be posted there along with the announcements so you are urged to consult the site regularly.

Text: The textbooks "Introduction to Real Analysis" by Bartle/Sherbert and "Principles of Mathematical Analysis" by Rudin are recommended but not required. Due to a special character of the honours analysis stream at McGill we will not follow any particular book and you are urged to attend the classes and take the notes.

Prerequisites: Math 141, Calculus 2, or equivalent.

Syllabus: Properties of R. Cauchy and monotone sequences, Bolzano- Weierstrass theorem. Limits, limsup, liminf of functions. Pointwise, uniform continuity: Intermediate Value theorem. Inverse and monotone functions. Differentiation: Mean Value theorem, L'Hospital's rule, Taylor's Theorem

Midterm: There will be 1 (one) two-hour midterm which will count 30% towards your final mark. The date of the midterm will be posted latter.

Homeworks : Assignments will be posted on the web page and will be due in the class on the announced dates. Late assignments will not be accepted.

Marking scheme : The final mark will be the maximum of the following: Homeworks 20%, Midterm 30%, Final 50% OR Homeworks 20%, Final 80% OR Midterm 30%, Final 70% OR Final 100%.

In the event of extraordinary circumstances beyond the University's control, the content and/or evaluation scheme of this course is subject to change.

Academic integrity : McGill University values academic integrity. Therefore all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the code of student contact and disciplinary procedures (see www.mcgill.ca/integrity for more information).

Supplemental : There will be a supplemental exam, counting 100% of the supplemental grade. No additional work will be accepted for D, F, or J.

In accord with McGill University Charter of Students' Rights, students in this course have the right to submit in English or in French any written work that is to be graded.

Page 1 of 1MATH 254

18/02/2014http://www.math.mcgill.ca/jaksic/MATH254.html

Proposal ReferenceNumber

: 8312

PRN Alias : 13-14#1725Version No : 5Submitted By : Ms Angela WhiteEdited By : Ms Raffaella

Bruno


Summary of Changes Restrictions

Current Data New Data

Program Affected? N

Program ChangeForm Submitted?


one term

Credit Weight orCEU's

3 credits.

Course Activities A - LectureOT - Optional Tutorial

Course Title Course Title on Transcript Analysis 1

Course Title on Calendar Analysis 1.

Rationale Introduction of new course MATH 254 HonoursAnalysis 1 requires a new restriction for MATH 242Analysis 1

ResponsibleInstructor

Staff

Course Description A rigorous presentation of sequences and of realnumbers and basic properties of continuous anddifferentiable functions on the real line.


AdministeringFaculty/Unit

SC : Faculty of Science

Prerequisites Prerequisite: MATH 141

Corequisites

Restrictions Not open to students who are taking or whohave taken MATH 254 Honours Analysis 1.


1 of 3 13/02/2014 11:39 AM

SupplementaryCalendar Info

Fall1.

Additional CourseCharges

Campus

ProjectedEnrollment

Requires ResourcesNot CurrentlyAvailable

Explanation forRequired Resources

ConsultationReports Attached?


201409


To be completed bythe Faculty

For ContinuingStudies Use

Approvals Summary

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5 Approved byDepartmental ChairEdited by: RaffaellaBrunoon: Feb 10 2014

4 Approved byDepartmental ChairEdited by: JosieD'Amicoon: Feb 10 2014

3 Approved byDepartmental ChairEdited by: RaffaellaBrunoon: Feb 10 2014


2 of 3 13/02/2014 11:39 AM



Summary of Changes Course Description, Prerequisites


Program Affected? N



one term


3 credits.

Course Activities A - Lecture

Course Title Course Title on Transcript Analysis 2

Course Title on Calendar Analysis 2.

Rationale Reflects current Teaching practices for MATH 243,MATH 255, MATH 354 and MATH 355


Staff

Course Description Infinite series; series of functions; power series.The Riemann integral in one variable. A rigorousdevelopment of the elementary functions.

Definition and properties of Riemann integral,Fundamental Theorem of Calculus, Taylor'stheorem. Infinite series: alternating,telescoping series, rearrangements,conditional and absolute convergence,convergence tests. Power series and Taylorseries. Elementary functions. Introduction tometric spaces.




Prerequisites Prerequisite: MATH 242 Prerequisite: MATH 242 or MATH 254

Web Registration Blocked? : N

Corequisites


1 of 2 04/03/2014 4:25 PM

Restrictions


Winter1.


Campus

ProjectedEnrollment


N




201501




Approvals Summary

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2 Approved byDepartmentalChairEdited by: JosieD'Amicoon: Mar 4 2014





2 of 2 04/03/2014 4:25 PM



Summary of Changes Course Description, Prerequisites


Program Affected? N



one term


3 credits.


Course Title Course Title onTranscript

Honours Analysis 2

Course Title on Calendar Honours Analysis2.

Rationale Reflects current teaching practices for MATH 243,MATH 255, MATH 354 and MATH 355


Staff

Course Description Series of functions including power series.Riemann integration in one variable. Elementaryfunctions.

Basic point-set topology, metric spaces: openand closed sets, normed and Banach spaces,Hölder and Minkowski inequalities, sequentialcompactness, Heine-Borel, Banach Fixed Pointtheorem. Riemann-(Stieltjes) integral,Fundamental Theorem of Calculus, Taylor'stheorem. Uniform convergence. Infinite series,convergence tests, power series. Elementaryfunctions




Prerequisites Prerequisites: MATH 242 or permission of theDepartment

Prerequisites: MATH 242 Analysis 1 or MATH254 Honours Analysis 1 or permission of theDepartment


1 of 3 17/02/2014 3:14 PM


Corequisites

Restrictions


Winter1.


Campus

ProjectedEnrollment





201501




Approvals Summary

Show all comments

VersionNo.


DepartmentalMeeting

DepartmentalChair

OtherFaculty



2 Approved byDepartmentalChairEdited by: JosieD'Amicoon: Feb 17 2014

1 ApprovedVojkan JaksicMeeting Date: Jan20 2014Approval Date:

ApprovedRaffaella BrunoMeeting Date: Jan13, 2014Approval Date:



2 of 3 17/02/2014 3:14 PM

Proposal Reference Number : 8160PRN Alias : 13-14#1573Version No : 1Submitted By : Ms Angela White


Summary of Changes Course Description


Program Affected? N



one term


3 credits.



Honours Analysis 3


Rationale Reflects current teaching practices for MATH 243,MATH 255, MATH 354 and MATH 355.


Staff

Course Description Introduction to metric spaces. Multivariabledifferential calculus, implicit and inverse functiontheorems.

Review of point-set topology: topologicalspace, dense sets, completeness,compactness, connectedness andpath-connectedness, separability. Arzela-Ascoli, Stone-Weierstrass, Baire categorytheorems. Measure theory: sigma algebras,Lebesgue measure and integration, L^1functions. Fatou's lemma, monotone anddominated convergence theorem. Egorov,Lusin's theorems. Fubini-Tonelli theorem.




Prerequisites Prerequisite: MATH 255 or equivalent

Corequisites


1 of 2 13/02/2014 11:47 AM

Restrictions


Fall1.


Campus

ProjectedEnrollment





201409




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DepartmentalMeeting

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2 of 2 13/02/2014 11:47 AM

Proposal Reference Number : 8161PRN Alias : 13-14#1574Version No : 1Submitted By : Ms Angela White


Summary of Changes Course Description


Program Affected? N



one term


3 credits.



Honours Analysis 4


Rationale Reflects current teaching practices for MATH 243,MATH 255, MATH 354 and MATH 354,


Staff

Course Description Lebesque measure, integration and Fubini'stheorem. Abstract measure and integration.Convergence theorems. Introduction to Hilbertspaces, L_2 spaces, Fourier series. Fourierintegrals (if time allows).

Continuation of measure theory. Functionalanalysis: L^p spaces, linear functionals anddual spaces, Hahn-Banach theorem, Rieszrepresentation theorem. Hilbert spaces, weakconvergence. Spectral theory of compactoperator. Introduction to Fourier analysis,Fourier transforms.




Prerequisites Prerequisite: MATH 354 or equivalent.

Corequisites

Restrictions


1 of 2 13/02/2014 11:46 AM


Winter1.


Campus

ProjectedEnrollment





201501




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2 of 2 13/02/2014 11:46 AM



Summary of Changes Prerequisites, Corequisites


Program Affected? N



one term


3 credits.



Honours Probability

Course Title on Calendar HonoursProbability.

Rationale The prerequisite and corequisite changes will allowstudents more flexibility in taking MATH 356, andwill allow students to take the course in U1.


Staff

Course Description Sample space, probability axioms, combinatorialprobability. Conditional probability, Bayes'Theorem. Distribution theory with special referenceto the Binomial, Poisson, and Normal distributions.Expectations, moments, moment generatingfunctions, uni-variate transformations. Randomvectors, independence, correlation, multivariatetransformations. Conditional distributions,conditional expectation.Modes of stochasticconvergence, laws of large numbers, Central LimitTheorem.





1 of 3 04/03/2014 4:33 PM

Prerequisites Prerequisite: MATH 255 or MATH 243 MATH 133 or MATH 134, and MATH 222Calculus 3 or permisson of the Department.


Corequisites MATH 242 or MATH 254


Restrictions Restriction: Not open to students who havetaken or are taking MATH 323


Fall1.


Campus

ProjectedEnrollment





201409




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3 Approved byDepartmentalChairEdited by: JosieD'Amicoon: Mar 4 2014


2 of 3 04/03/2014 4:33 PM



Summary of Changes Prerequisites


Program Affected? Y


N (Simple Change) - 1)Add this course to therequired course list and remove MATH 587 fromthe Complementary Course list for B.Sc and B.AHonours Probability and Statistics Program 2) Addthis course to the Complementary list of coursesfor B.Sc. and B.A Honours Statistics and ComputerScience program and remove MATH 355 HonoursAnalysis 4 from the program.


one term


4 credits.



Advanced ProbabilityTheory 1

Course Title onCalendar

Advanced ProbabilityTheory 1.

Rationale MATH 587 provides an introduction to measuretheoretic probability, while Analysis 4 provides anintroduction to measure theory. Students inprograms in probability and statistics would bebetter served by taking a course whose emphasisis on topics specific to probability. The proposedpre-requisites allow Honours or Majors studentswith a background in basic probability and twoanalysis courses to take MATH 587. Moreover, itallows incoming graduate students in statistics thathave these pre-requisites to take MATH 587,without having to take more advanced analysiscourses first. The rationale for allowing students totake both MATH 587 and MATH 355 (Analysis 4) isthat their emphases is entirely different.


1 of 3 17/02/2014 3:27 PM


Staff

Course Description Probability spaces. Random variables and theirexpectations. Convergence of random variables inLp. Independence and conditional expectation.Introduction to Martingales. Limit theoremsincluding Kolmogorov's Strong Law of LargeNumbers.




Prerequisites Prerequisite: MATH 356 or equivalent and approvalof instructor

MATH 356 Honours Probability and MATH 255Honours Analysis 2 or MATH 243 Analysis 2 orequivalent.


Corequisites

Restrictions


Fall1.


Campus

ProjectedEnrollment





201409




Approvals Summary


2 of 3 17/02/2014 3:27 PM

1

Josie D'Amico

From: Bettina Kemme <[email protected]>Sent: February-17-14 2:17 PMTo: Vojkan JaksicCc: Vojkan Jaksic; Bettina Kemme; Axel Hundemer; Raffaella Bruno, Ms.; David Wolfson;

Josie D'Amico; Angela White, Ms.Subject: Re: Consultation: program change in joint honours statistics and computer science

Oupps, sorry I missed that one. Yes, there is no problem with this change thanks Bettina Vojkan Jaksic wrote: > Dear Bettina, would it be possible to send us this consultation report > ASAP? > > Thanks and sorry for the hassle, > V. > > > > On Jan 27, 2014, at 12:50 PM, Vojkan Jaksic <[email protected]> > wrote: > > >> Dear Bettina, >> >> >> our statistics group plans to bring a motion that MATH 355—Honours >> Analysis IV is dropped a complementary course fro the joint honours >> statistics and computer science and replaced by MATH 587—Advanced >> Probability Theory I. >> >> We have made the same change in the honours statistics program. We >> would like to consult with you whether this changed is approved by CS >> department. We hope that you cal let us know soon. >> >> >> With best regards, >> >> >> Vojkan Jaksic >> Undergraduate Program Director

2

>> Department of Mathematics and Statistics >> >> >> >> > > -- ========= School of Computer Science McGill University Montreal, Quebec, Canada http://www.cs.mcgill.ca/~kemme

Proposed Changes to the Undergraduate Honors Program in Probability and Statistics

This document contains two proposed changes to the Honors Probability and Statistics Program, one, a change in the prerequisites for MATH 356, MATH 357, and MATH 587 and the other, a substitution of one course for another. The proposed changes herald further possible changes to our statistics “programs”, changes that have been under discussion by the Statistics Group for the past two years.

Proposed changes to the Honors Probability and Statistics Program and course offerings

1. Currently MATH 356 has Honours Analysis 2 (MATH 255) or Analysis 2 (MATH 243) as a pre-requisite. Proposed revised calendar wording for MATH 356: Pre/co-requistes: Co-requisite, MATH 242. Pre-requisites, MATH 133 and MATH 222 or permission of the Department. 2. Currently MATH 357 has Analysis II as a pre-requisite. Proposed revised calendar wording for MATH 357. Pre/co-requisites: Co-requisite, MATH 255 (Analysis 2). Pre-requisite, MATH 356 or permission of the Department. 3. Currently Honours students in Probability and Statistics can take either MATH 355 (Analysis 4) or MATH 587 (Advanced Probability) as a complementary course. Proposed new program restriction: Students in the Honours program in Probability and Statistics are required to take MATH 587. Under the current Honours program MATH 356 is listed as a pre-requisite for MATH 587. Under the new proposal the pre-requisites would change to: MATH 356 and MATH 255 or MATH 243, or equivalent. MATH 355 cannot be taken as a substitute for MATH 587. Students may obtain credit for both MATH 587 and MATH 355. (MATH 355 should be moved to the list of complementary courses from which 18 credits must be selected.)

Rationale Currently, apart from MATH 547 (Honours Stochastic Processes), students in the Honours Probability and Statistics program must wait until they have completed MATH 357 (almost always at the end of their second year) before they can take further courses in statistics. By ensuring that MATH 356 and 357 can be taken in the first year, students interested continuing in probability and statistics will be able to take follow-up statistics courses starting in Year 2. At the moment, they are forced to squeeze all these statistics courses into the final year,

which reduces both their options as to when they can take these courses as well as the number of statistics courses that they can actually take by the time that they graduate. Since basic measure theory is taught in MATH 587 and since it introduces students to crucial notions in probability (for example, distributions, expectation, independence, laws of large numbers, conditional expectation), topics not part of the Analysis 4 syllabus, it is felt that MATH 587 should replace Analysis 4 as one of two complementary courses for students in Honours Probability and Statistics. The addition of the words, “or equivalent” in the pre-requisites for MATH 587 is to allow the anticipated few students who have taken MATH 323 and either Honours or Majors Analysis 2, to take MATH 587. This includes incoming statistics graduate students, some of whom have limited pure mathematics preparation. Note: Should the Honours program in Mathematics change, some of the above proposals might have to be revisited.

P2-1


(07/2004)








Term:






Major

Joint Major


Minor


Honours (HON) X


Internship/Co-op

Thesis (T)

Non-Thesis (N)

Other

Please specify



Bachelor of Science

Science/Mathematics & Statistics


201409

60

The changes reflect the introduction of MATH 254 (Honours Analysis 1). Giving students the choice of MATH 242 (Analysis 1) and MATH 254 (Honours Analysis 1) allows for a fluid transfer between the Major and Honours Programs.

60

B.Sc. Honours in Applied Mathematics





Honours Applied Mathematics (60 credits) Required Courses (42 credits) * COMP 250 may be preceded by COMP 202. ** Students select either MATH 251 or MATH 247, but not both. COMP 250 Introduction to Computer Science (3 credits) * COMP 252 Honours Algorithms and Data Structures (3 credits) MATH 235 Algebra 1 (3 credits) MATH 242 Analysis 1 (3 credits) MATH 247 Honours Applied Linear Algebra (3 credits) ** MATH 248 Honours Advanced Calculus (3 credits) MATH 251 Honours Algebra 2 (3 credits) ** MATH 255 Honours Analysis 2 (3 credits) MATH 325 Honours Ordinary Differential Equations (3 credits) MATH 350 Graph Theory and Combinatorics (3 credits) MATH 356 Honours Probability (3 credits) MATH 357 Honours Statistics (3 credits) MATH 375 Honours Partial Differential Equations (3 credits) MATH 376 Honours Nonlinear Dynamics (3 credits) MATH 470 Honours Research Project (3 credits) Complementary Courses (18 credits) Advising Notes: Students interested in continuous applied mathematics are urged to choose these as part of their Complementary Courses: MATH 354 and MATH 355, and are advised to choose additional courses from MATH 387, MATH 397, MATH 555, MATH 560, MATH 574, MATH 578, MATH 579, MATH 580, MATH 581. Students interested in discrete applied mathematics are advised to choose from these as part of their Complementary Courses: COMP 362, COMP 490, MATH 370, MATH 371, MATH 407, MATH 547, MATH 487, MATH 550, MATH 552, MATH 560. 3 credits selected from: MATH 249 Honours Complex Variables (3 credits) MATH 366 Honours Complex Analysis (3 credits) at least 3 credits selected from: MATH 387 Honours Numerical Analysis (3 credits) MATH 397 Honours Matrix Numerical Analysis (3 credits) and the remainder of credits selected from: COMP 362 Honours Algorithm Design (3 credits) MATH 352 Problem Seminar (1 credit) MATH 354 Honours Analysis 3 (3 credits) MATH 355 Honours Analysis 4 (3 credits) MATH 370 Honours Algebra 3 (3 credits) MATH 371 Honours Algebra 4 (3 credits) MATH 377 Honours Number Theory (3 credits) MATH 380 Honours Differential Geometry (3 credits) MATH 480 Honours Independent Study (3 credits) MATH 487 Honours Mathematical Programming (3 credits) MATH 488 Honours Set Theory (3 credits) MATH 490 Honours Mathematics of Finance (3 credits) All MATH 500-level courses. No more than 6 credits from the following courses for which no Honours equivalent exists: MATH 204 Principles of Statistics 2 (3 credits) MATH 329 Theory of Interest (3 credits) MATH 338 History and Philosophy of Mathematics (3 credits) MATH 348 Topics in Geometry (3 credits) MATH 407 Dynamic Programming (3 credits) Other courses with the permission of the Department.

Honours Applied Mathematics (60 credits) Required Courses (39 credits) * COMP 250 may be preceded by COMP 202. ** Students select either MATH 251 or MATH 247, but not both. COMP 250 Introduction to Computer Science (3 credits) * COMP 252 Honours Algorithms and Data Structures (3 credits) MATH 235 Algebra 1 (3 credits) MATH 247 Honours Applied Linear Algebra (3 credits) ** MATH 248 Honours Advanced Calculus (3 credits) MATH 251 Honours Algebra 2 (3 credits) ** MATH 255 Honours Analysis 2 (3 credits) MATH 325 Honours Ordinary Differential Equations (3 credits) MATH 350 Graph Theory and Combinatorics (3 credits) MATH 356 Honours Probability (3 credits) MATH 357 Honours Statistics (3 credits) MATH 375 Honours Partial Differential Equations (3 credits) MATH 376 Honours Nonlinear Dynamics (3 credits) MATH 470 Honours Research Project (3 credits) Complementary Courses (21 credits) 3 credits selected from: MATH 242 Analysis 1 (3 credits) *** MATH 254 Honours Analysis 1 (3 credits) ***It is strongly recommended that students take MATH 254. Advising Notes: Students interested in continuous applied mathematics are urged to choose these as part of their Complementary Courses: MATH 354 and MATH 355, and are advised to choose additional courses from MATH 387, MATH 397, MATH 555, MATH 560, MATH 574, MATH 578, MATH 579, MATH 580, MATH 581. Students interested in discrete applied mathematics are advised to choose from these as part of their Complementary Courses: COMP 362, COMP 490, MATH 370, MATH 371, MATH 407, MATH 547, MATH 487, MATH 550, MATH 552, MATH 560. 3 credits selected from: MATH 249 Honours Complex Variables (3 credits) MATH 366 Honours Complex Analysis (3 credits) at least 3 credits selected from: MATH 387 Honours Numerical Analysis (3 credits) MATH 397 Honours Matrix Numerical Analysis (3 credits) and the remainder of credits selected from: COMP 362 Honours Algorithm Design (3 credits) MATH 352 Problem Seminar (1 credit) MATH 354 Honours Analysis 3 (3 credits) MATH 355 Honours Analysis 4 (3 credits) MATH 370 Honours Algebra 3 (3 credits) MATH 371 Honours Algebra 4 (3 credits) MATH 377 Honours Number Theory (3 credits) MATH 380 Honours Differential Geometry (3 credits) MATH 480 Honours Independent Study (3 credits) MATH 487 Honours Mathematical Programming (3 credits) MATH 488 Honours Set Theory (3 credits) MATH 490 Honours Mathematics of Finance (3 credits) All MATH 500-level courses. No more than 6 credits from the following courses for which no Honours equivalent exists: MATH 204 Principles of Statistics 2 (3 credits) MATH 329 Theory of Interest (3 credits) MATH 338 History and Philosophy of Mathematics (3 credits) MATH 348 Topics in Geometry (3 credits) MATH 407 Dynamic Programming (3 credits) Other courses with the permission of the Department.


P2-1


(07/2004)








Term:






Major

Joint Major


Minor


Honours (HON) X


Internship/Co-op

Thesis (T)

Non-Thesis (N)

Other

Please specify



Bachelor of Science



201409

60


60

B.Sc. Honours in Mathematics





Honours Mathematics (60 credits) Required Courses (48 credits) * MATH 314 may be substituted for MATH 248 if MATH 222 had to be taken in the Fall. MATH 235 Algebra 1 (3 credits) MATH 242 Analysis 1 (3 credits) MATH 248 Honours Advanced Calculus (3 credits) * MATH 251 Honours Algebra 2 (3 credits) MATH 255 Honours Analysis 2 (3 credits) MATH 325 Honours Ordinary Differential Equations (3 credits) MATH 354 Honours Analysis 3 (3 credits) MATH 355 Honours Analysis 4 (3 credits) MATH 356 Honours Probability (3 credits) MATH 357 Honours Statistics (3 credits) MATH 366 Honours Complex Analysis (3 credits) MATH 370 Honours Algebra 3 (3 credits) MATH 371 Honours Algebra 4 (3 credits) MATH 375 Honours Partial Differential Equations (3 credits) MATH 380 Honours Differential Geometry (3 credits) MATH 470 Honours Research Project (3 credits) Complementary Courses (12 credits) 12 credits selected from: MATH 350 Graph Theory and Combinatorics (3 credits) MATH 352 Problem Seminar (1 credit) MATH 376 Honours Nonlinear Dynamics (3 credits) MATH 377 Honours Number Theory (3 credits) MATH 387 Honours Numerical Analysis (3 credits) MATH 397 Honours Matrix Numerical Analysis (3 credits) MATH 480 Honours Independent Study (3 credits) MATH 487 Honours Mathematical Programming (3 credits) MATH 488 Honours Set Theory (3 credits) all MATH 500-level courses. Honours-level courses from related disciplines: * COMP 250 may be preceded by COMP 202. COMP 250 Introduction to Computer Science (3 credits) * COMP 252 Honours Algorithms and Data Structures (3 credits) no more than 6 credits from the following courses for which no Honours equivalent exists: MATH 204 Principles of Statistics 2 (3 credits) MATH 329 Theory of Interest (3 credits) MATH 338 History and Philosophy of Mathematics (3 credits) MATH 348 Topics in Geometry (3 credits) MATH 407 Dynamic Programming (3 credits) Students may select other courses with the permission of the Department.

Honours Mathematics (60 credits) Required Courses (45 credits) * MATH 314 may be substituted for MATH 248 if MATH 222 had to be taken in the Fall. MATH 235 Algebra 1 (3 credits) MATH 248 Honours Advanced Calculus (3 credits) * MATH 251 Honours Algebra 2 (3 credits) MATH 255 Honours Analysis 2 (3 credits) MATH 325 Honours Ordinary Differential Equations (3 credits) MATH 354 Honours Analysis 3 (3 credits) MATH 355 Honours Analysis 4 (3 credits) MATH 356 Honours Probability (3 credits) MATH 357 Honours Statistics (3 credits) MATH 366 Honours Complex Analysis (3 credits) MATH 370 Honours Algebra 3 (3 credits) MATH 371 Honours Algebra 4 (3 credits) MATH 375 Honours Partial Differential Equations (3 credits) MATH 380 Honours Differential Geometry (3 credits) MATH 470 Honours Research Project (3 credits) Complementary Courses (15 credits) 3 credits selected from: MATH 242 Analysis 1 (3 credits) ** MATH 254 Honours Analysis 1 (3 credits) **It is strongly recommended that students take MATH 254. 12 credits selected from: MATH 350 Graph Theory and Combinatorics (3 credits) MATH 352 Problem Seminar (1 credit) MATH 376 Honours Nonlinear Dynamics (3 credits) MATH 377 Honours Number Theory (3 credits) MATH 387 Honours Numerical Analysis (3 credits) MATH 397 Honours Matrix Numerical Analysis (3 credits) MATH 480 Honours Independent Study (3 credits) MATH 487 Honours Mathematical Programming (3 credits) MATH 488 Honours Set Theory (3 credits) all MATH 500-level courses. Honours-level courses from related disciplines: ***COMP 250 may be preceded by COMP 202. COMP 250 Introduction to Computer Science (3 credits) *** COMP 252 Honours Algorithms and Data Structures (3 credits) no more than 6 credits from the following courses for which no Honours equivalent exists: MATH 204 Principles of Statistics 2 (3 credits) MATH 329 Theory of Interest (3 credits) MATH 338 History and Philosophy of Mathematics (3 credits) MATH 348 Topics in Geometry (3 credits) MATH 407 Dynamic Programming (3 credits) Students may select other courses with the permission of the Department.


P2-1


(07/2004)








Term:




1.4 Category

5.0 Rationale for revised program


Major

Joint Major


Minor


Honours (HON) X


Internship/Co-op

Thesis (T)

Non-Thesis (N)

Other

Please specify



Bachelor of Science


Science/Mathematics & Statistics/Physics

201409

81


81

B.Sc. Honours in Mathematics and Physics





Honours Mathematics and Physics (81 credits)

U1 Required Courses (27 credits)

MATH 235 Algebra 1 (3 credits)

MATH 248 Honours Advanced Calculus (3 credits) MATH 249 Honours Complex Variables (3 credits)

MATH 325 Honours Ordinary Differential Equations (3 credits)

PHYS 241 Signal Processing (3 credits) PHYS 251 Honours Classical Mechanics 1 (3 credits)

PHYS 257 Experimental Methods 1 (3 credits)

PHYS 258 Experimental Methods 2 (3 credits) PHYS 260 Modern Physics and Relativity (3 credits)


MATH 242 Analysis 1 (3 credits)

MATH 255 Honours Analysis 2 (3 credits) MATH 375 Honours Partial Differential Equations (3 credits)

PHYS 253 Thermal Physics (3 credits)

PHYS 350 Honours Electricity and Magnetism (3 credits) PHYS 351 Honours Classical Mechanics 2 (3 credits)

PHYS 357 Honours Quantum Physics 1 (3 credits)

PHYS 362 Statistical Mechanics (3 credits) PHYS 457 Honours Quantum Physics 2 (3 credits)


MATH 354 Honours Analysis 3 (3 credits)

MATH 380 Honours Differential Geometry (3 credits) PHYS 352 Honours Electromagnetic Waves (3 credits)

PHYS 359 Honours Laboratory in Modern Physics 1 (3 credits)

U1 Complementary Course (3 credits)

MATH 247 Honours Applied Linear Algebra (3 credits) MATH 251 Honours Algebra 2 (3 credits)

U3 Complementary Courses (12 credits)

12 credits are selected as follows:

3 credits from:


MATH 370 Honours Algebra 3 (3 credits)

6 credits selected from:

PHYS 432 Physics of Fluids (3 credits) PHYS 479 Honours Research Project (3 credits)

PHYS 514 General Relativity (3 credits)

PHYS 519 Advanced Biophysics (3 credits) PHYS 521 Astrophysics (3 credits)

PHYS 551 Quantum Theory (3 credits)

PHYS 557 Nuclear Physics (3 credits) PHYS 558 Solid State Physics (3 credits)

PHYS 559 Advanced Statistical Mechanics (3 credits)

PHYS 562 Electromagnetic Theory (3 credits) PHYS 567 Particle Physics (3 credits)

PHYS 580 Introduction to String Theory (3 credits)

3 credits in Honours Mathematics.

Honours Mathematics and Physics (81 credits)


MATH 235 Algebra 1 (3 credits)

MATH 248 Honours Advanced Calculus (3 credits) MATH 249 Honours Complex Variables (3 credits)

MATH 325 Honours Ordinary Differential Equations (3 credits)

PHYS 241 Signal Processing (3 credits) PHYS 251 Honours Classical Mechanics 1 (3 credits)

PHYS 257 Experimental Methods 1 (3 credits)

PHYS 258 Experimental Methods 2 (3 credits) PHYS 260 Modern Physics and Relativity (3 credits)



MATH 375 Honours Partial Differential Equations (3 credits) PHYS 253 Thermal Physics (3 credits)

PHYS 350 Honours Electricity and Magnetism (3 credits)

PHYS 351 Honours Classical Mechanics 2 (3 credits) PHYS 357 Honours Quantum Physics 1 (3 credits)

PHYS 362 Statistical Mechanics (3 credits)

PHYS 457 Honours Quantum Physics 2 (3 credits)



MATH 380 Honours Differential Geometry (3 credits)

PHYS 352 Honours Electromagnetic Waves (3 credits) PHYS 359 Honours Laboratory in Modern Physics 1 (3 credits)

U1 Complementary Courses (3 credits) 3 credits from:

MATH 247 Honours Applied Linear Algebra (3 credits)



3 credits from:

MATH 242 Analysis 1 (3 credits)

**MATH 254 Honours Analysis 1 (3 credits)

**It is strongly recommended that students take MATH 254


12 credits are selected as follows: 3 credits from:



6 credits selected from:

PHYS 432 Physics of Fluids (3 credits) PHYS 479 Honours Research Project (3 credits)

PHYS 514 General Relativity (3 credits)

PHYS 519 Advanced Biophysics (3 credits) PHYS 521 Astrophysics (3 credits)

PHYS 551 Quantum Theory (3 credits)

PHYS 557 Nuclear Physics (3 credits) PHYS 558 Solid State Physics (3 credits)

PHYS 559 Advanced Statistical Mechanics (3 credits)

PHYS 562 Electromagnetic Theory (3 credits) PHYS 567 Particle Physics (3 credits)

PHYS 580 Introduction to String Theory (3 credits)

3 credits in Honours Mathematics. Attach extra page(s) as needed


Routing Sequence Name Signature Date

Department

Curric/Acad Committee

Faculty 1

Faculty 2

Faculty 3

SCTP

GS

APPC

Senate Submitted by

Name

Phone

Email

Submission Date

To be completed by ARR:

CIP Code

8.0 Consultation with Related Units Yes No Financial Consult Yes No

Attach list of consultations

P2-1


(07/2004)








Term:






Major

Joint Major


Minor


Honours (HON)

Joint Honours X Component (HC)

Internship/Co-op

Thesis (T)

Non-Thesis (N)

Other

Please specify



Bachelor of Science



201409

75


75

B.Sc. Joint Honours in Mathematics and Computer Science





Joint Honours Mathematics and Computer Science (75 credits) Required Courses (45 credits) * Students who have sufficient knowledge in a programming language are not required to take COMP 202. COMP 202 Foundations of Programming (3 credits) * COMP 206 Introduction to Software Systems (3 credits) COMP 250 Introduction to Computer Science (3 credits) COMP 252 Honours Algorithms and Data Structures (3 credits) COMP 273 Introduction to Computer Systems (3 credits) COMP 302 Programming Languages and Paradigms (3 credits) COMP 310 Operating Systems (3 credits) COMP 330 Theory of Computation (3 credits) COMP 362 Honours Algorithm Design (3 credits) MATH 235 Algebra 1 (3 credits) MATH 242 Analysis 1 (3 credits) MATH 248 Honours Advanced Calculus (3 credits) MATH 251 Honours Algebra 2 (3 credits) MATH 255 Honours Analysis 2 (3 credits) MATH 350 Graph Theory and Combinatorics (3 credits) Complementary Courses (30 credits) 18 credits in Mathematics, at least 12 credits selected from: * Students with appropriate background in probability may substitute MATH 587 for MATH 356 and must then also register for MATH 355. MATH 354 Honours Analysis 3 (3 credits) MATH 355 Honours Analysis 4 (3 credits) MATH 356 Honours Probability (3 credits) * MATH 370 Honours Algebra 3 (3 credits) MATH 371 Honours Algebra 4 (3 credits) MATH 387 Honours Numerical Analysis (3 credits) The remaining credits should be selected from honours courses given by the Department of Mathematics and Statistics. 12 credits in Computer Science, selected from Computer Science courses at the 300 level or above excluding COMP 364, COMP 396 and COMP 431. ECSE 508 may also be taken.

Joint Honours Mathematics and Computer Science (75 credits) Required Courses (42 credits) * Students who have sufficient knowledge in a programming language are not required to take COMP 202. COMP 202 Foundations of Programming (3 credits) * COMP 206 Introduction to Software Systems (3 credits) COMP 250 Introduction to Computer Science (3 credits) COMP 252 Honours Algorithms and Data Structures (3 credits) COMP 273 Introduction to Computer Systems (3 credits) COMP 302 Programming Languages and Paradigms (3 credits) COMP 310 Operating Systems (3 credits) COMP 330 Theory of Computation (3 credits) COMP 362 Honours Algorithm Design (3 credits) MATH 235 Algebra 1 (3 credits) MATH 248 Honours Advanced Calculus (3 credits) MATH 251 Honours Algebra 2 (3 credits) MATH 255 Honours Analysis 2 (3 credits) MATH 350 Graph Theory and Combinatorics (3 credits) Complementary Courses (33 credits) 3 credits selected from: MATH 242 Analysis 1 (3 credits) * MATH 254 Honours Analysis 1 (3 credits) *It is strongly recommended that students take MATH 254. 18 credits in Mathematics, at least 12 credits selected from: ** Students with appropriate background in probability may substitute MATH 587 for MATH 356 and must then also register for MATH 355. MATH 354 Honours Analysis 3 (3 credits) MATH 355 Honours Analysis 4 (3 credits) MATH 356 Honours Probability (3 credits)** MATH 370 Honours Algebra 3 (3 credits) MATH 371 Honours Algebra 4 (3 credits) MATH 387 Honours Numerical Analysis (3 credits) The remaining credits should be selected from honours courses given by the Department of Mathematics and Statistics. 12 credits in Computer Science, selected from Computer Science courses at the 300 level or above excluding COMP 364, COMP 396 and COMP 431. ECSE 508 may also be taken.


Registration in '396' courses in recent years (excluding BASC 396)

By term Sep Jan May Total

2005‐06 0 0 24 24

2006‐07 17 19 22 58

2007‐08 28 50 15 93

2008‐09 33 39 8 80

2009‐10 44 56 13 113

2010‐11 53 50 13 116

2011‐12 52 82 30 164

2012‐13 66 88 35 189

2013‐14* 79 114 193 See note *

By Unit: 2010‐11 2011‐12 2012‐13 2013‐14*

ANAT 396 24 30 33 20

ATOC 396 1 2 5 1

BIOC 396 6 6 7 11

BIOL 396 9 4 11 8

CHEM 396 8 3 7 12

COGS 396 0 6 1 0

COMP 396 10 19 19 16

EPSC 396 4 12 3 10

GEOG 396 5 2 2 2

HGEN 396 ‐ ‐ 12 17

MATH 396 0 2 1 1

MIMM 396 12 15 9 12

MIMM 397 4 7 15 12

NSCI 396 3 10 13 15

PHGY 396 13 23 25 24

PHYS 396 11 8 19 14

PSYC 396 4 14 7 8

REDM 396 2 1 0 10

Total 116 164 189 193

By Year: U0 U1 U2 U3 Other Total

2010‐11 0 8 38 64 6 116

2011‐12 1 16 61 80 6 164

2012‐13 0 25 64 98 2 189

2013‐14 * 2 7 61 119 4 193

By Year ‐ % U0 U1 U2 U3 Other Total

2010‐11 0% 7% 33% 55% 5% 100%

2011‐12 1% 10% 37% 49% 4% 100%

2012‐13 0% 13% 34% 52% 1% 100%

2013‐14 * 1% 4% 32% 62% 2% 100%

* Fall and winter only (summer not yet open for registration)

Data: First table: Minerva

Other tables: Report from B. Haughton, Enrol. Svcs. (req14042_Jan_24_2014_VC.xls)

Summary prepared by Victor Chisholm, 2014‐02‐21

B.Sc. Graduates with at least one research course p. 1 of 5

Department Academic year# of

graduates

# w at least one DMURL

course

percentage w DMURL courses

# of graduates


course


# of graduates


course


# of graduates


course


All depts 2012‐2013 88 32 36% 155 66 43% 793 401 51% 1,036 499 48%

All depts 2011‐2012 86 28 33% 139 61 44% 729 382 52% 954 471 49%

All depts 2010‐2011 87 29 33% 132 57 43% 640 301 47% 859 387 45%

All depts 2009‐2010 86 25 29% 120 43 36% 685 321 47% 891 389 44%

All depts 2008‐2009 101 38 38% 116 35 30% 610 294 48% 827 367 44%

All depts 2007‐2008 99 38 38% 132 47 36% 659 300 46% 890 385 43%

All depts 2006‐2007 98 28 29% 105 28 27% 677 285 42% 880 341 39%

All depts 2005‐2006 112 40 36% 121 27 22% 663 258 39% 896 325 36%

ATOC 2012‐2013 1 1 100% 5 2 40% 6 3 50%

ATOC 2011‐2012 1 0% 2 0% 7 2 29% 10 2 20%

ATOC 2010‐2011 1 0% 1 0% 11 4 36% 13 4 31%

ATOC 2009‐2010 9 4 44% 9 4 44%

ATOC 2008‐2009 1 0% 4 2 50% 2 0% 7 2 29%

ATOC 2007‐2008 2 0% 1 0% 7 5 71% 10 5 50%

ATOC 2006‐2007 2 2 100% 1 0% 9 1 11% 12 3 25%

ATOC 2005‐2006 10 3 30% 10 3 30%

BIOL 2012‐2013 9 5 56% 16 10 63% 83 45 54% 108 60 56%

BIOL 2011‐2012 10 3 30% 21 14 67% 74 41 55% 105 58 55%

BIOL 2010‐2011 13 7 54% 20 9 45% 51 28 55% 84 44 52%

BIOL 2009‐2010 14 7 50% 18 9 50% 86 43 50% 118 59 50%

BIOL 2008‐2009 13 5 38% 17 5 29% 62 42 68% 92 52 57%

BIOL 2007‐2008 10 8 80% 24 11 46% 78 52 67% 112 71 63%

BIOL 2006‐2007 22 8 36% 18 8 44% 102 57 56% 142 73 51%

BIOL 2005‐2006 31 14 45% 21 4 19% 93 52 56% 145 70 48%

CHEM 2012‐2013 3 2 67% 10 4 40% 30 15 50% 43 21 49%

CHEM 2011‐2012 4 3 75% 8 3 38% 32 20 63% 44 26 59%

CHEM 2010‐2011 4 2 50% 9 3 33% 39 17 44% 52 22 42%

CHEM 2009‐2010 2 0% 3 1 33% 27 11 41% 32 12 38%

CHEM 2008‐2009 5 2 40% 4 0% 36 14 39% 45 16 36%

CHEM 2007‐2008 4 0% 4 1 25% 36 13 36% 44 14 32%

CHEM 2006‐2007 4 2 50% 2 1 50% 16 4 25% 22 7 32%

CHEM 2005‐2006 4 1 25% 3 0% 37 12 32% 44 13 30%

Summer (Nov. convocation) Fall (Feb. convocation) Winter (June convocation) Whole year



graduates


course


# of graduates


course


# of graduates


course


# of graduates


course


COMP 2012‐2013 2 0% 18 6 33% 33 19 58% 53 25 47%

COMP 2011‐2012 3 0% 11 7 64% 23 11 48% 37 18 49%

COMP 2010‐2011 4 1 25% 12 6 50% 11 5 45% 27 12 44%

COMP 2009‐2010 4 1 25% 6 4 67% 12 5 42% 22 10 45%

COMP 2008‐2009 8 3 38% 2 1 50% 12 6 50% 22 10 45%

COMP 2007‐2008 4 1 25% 7 1 14% 17 3 18% 28 5 18%

COMP 2006‐2007 1 0% 7 2 29% 13 3 23% 21 5 24%

COMP 2005‐2006 10 1 10% 13 3 23% 20 7 35% 43 11 26%

EPSC 2012‐2013 2 2 100% 6 2 33% 13 10 77% 21 14 67%

EPSC 2011‐2012 4 2 50% 3 3 100% 14 10 71% 21 15 71%

EPSC 2010‐2011 1 1 100% 1 0% 15 10 67% 17 11 65%

EPSC 2009‐2010 1 1 100% 10 8 80% 11 9 82%

EPSC 2008‐2009 1 1 100% 2 2 100% 14 11 79% 17 14 82%

EPSC 2007‐2008 3 3 100% 3 2 67% 5 5 100% 11 10 91%

EPSC 2006‐2007 1 1 100% 1 1 100% 9 8 89% 11 10 91%

EPSC 2005‐2006 2 2 100% 2 2 100% 4 2 50% 8 6 75%

GEOG 2012‐2013 2 1 50% 3 1 33% 5 2 40%

GEOG 2011‐2012 1 0% 2 1 50% 1 1 100% 4 2 50%

GEOG 2010‐2011 1 0% 1 1 100% 3 3 100% 5 4 80%

GEOG 2009‐2010 2 0% 1 0% 3 0 0%

GEOG 2008‐2009 1 0% 3 2 67% 4 2 50%

GEOG 2007‐2008 1 0% 3 1 33% 4 1 25%

GEOG 2006‐2007 1 0% 1 0 0%

GEOG 2005‐2006 1 0% 3 0% 5 2 40% 9 2 22%

MATH 2012‐2013 10 3 30% 10 4 40% 30 18 60% 50 25 50%

MATH 2011‐2012 2 1 50% 11 4 36% 29 13 45% 42 18 43%

MATH 2010‐2011 4 2 50% 6 3 50% 24 7 29% 34 12 35%

MATH 2009‐2010 2 0% 6 1 17% 21 4 19% 29 5 17%

MATH 2008‐2009 3 0% 6 0% 28 13 46% 37 13 35%

MATH 2007‐2008 8 1 13% 23 4 17% 31 5 16%

MATH 2006‐2007 7 2 29% 8 2 25% 18 11 61% 33 15 45%

MATH 2005‐2006 4 1 25% 7 1 14% 28 7 25% 39 9 23%




graduates


course


# of graduates


course


# of graduates


course


# of graduates


course


PHYS 2012‐2013 3 2 67% 7 7 100% 50 38 76% 60 47 78%

PHYS 2011‐2012 3 3 100% 7 5 71% 47 36 77% 57 44 77%

PHYS 2010‐2011 4 4 100% 5 5 100% 40 31 78% 49 40 82%

PHYS 2009‐2010 5 3 60% 3 3 100% 35 29 83% 43 35 81%

PHYS 2008‐2009 5 5 100% 36 26 72% 41 31 76%

PHYS 2007‐2008 7 7 100% 10 9 90% 43 34 79% 60 50 83%

PHYS 2006‐2007 3 3 100% 4 3 75% 28 25 89% 35 31 89%

PHYS 2005‐2006 1 1 100% 2 2 100% 29 22 76% 32 25 78%

PSYC 2012‐2013 10 4 40% 13 6 46% 56 18 32% 79 28 35%

PSYC 2011‐2012 9 2 22% 13 4 31% 51 24 47% 73 30 41%

PSYC 2010‐2011 10 2 20% 14 5 36% 63 25 40% 87 32 37%

PSYC 2009‐2010 12 2 17% 19 5 26% 57 18 32% 88 25 28%

PSYC 2008‐2009 21 12 57% 18 4 22% 38 22 58% 77 38 49%

PSYC 2007‐2008 18 8 44% 19 12 63% 63 29 46% 100 49 49%

PSYC 2006‐2007 16 1 6% 16 3 19% 62 30 48% 94 34 36%

PSYC 2005‐2006 11 1 9% 12 1 8% 53 22 42% 76 24 32%

ANAT 2012‐2013 14 1 7% 32 6 19% 130 47 36% 176 54 31%

ANAT 2011‐2012 22 8 36% 22 4 18% 135 38 28% 179 50 28%

ANAT 2010‐2011 19 3 16% 19 4 21% 122 34 28% 160 41 26%

ANAT 2009‐2010 13 1 8% 21 7 33% 115 39 34% 149 47 32%

ANAT 2008‐2009 13 3 23% 17 3 18% 111 34 31% 141 40 28%

ANAT 2007‐2008 20 5 25% 12 0% 95 15 16% 127 20 16%

ANAT 2006‐2007 7 0% 15 4 27% 72 10 14% 94 14 15%

ANAT 2005‐2006 14 8 57% 6 2 33% 84 21 25% 104 31 30%

BIOC 2012‐2013 3 0% 11 3 27% 68 30 44% 82 33 40%

BIOC 2011‐2012 9 3 33% 7 3 43% 78 45 58% 94 51 54%

BIOC 2010‐2011 5 0% 16 4 25% 68 32 47% 89 36 40%

BIOC 2009‐2010 9 2 22% 12 1 8% 82 43 52% 103 46 45%

BIOC 2008‐2009 12 4 33% 8 1 13% 62 34 55% 82 39 48%

BIOC 2007‐2008 9 1 11% 9 0% 86 45 52% 104 46 44%

BIOC 2006‐2007 11 1 9% 8 1 13% 79 37 47% 98 39 40%

BIOC 2005‐2006 3 0% 13 2 15% 66 34 52% 82 36 44%




graduates


course


# of graduates


course


# of graduates


course


# of graduates


course


MIMM 2012‐2013 7 1 14% 5 1 20% 68 43 63% 80 45 56%

MIMM 2011‐2012 9 0% 3 0% 71 40 56% 83 40 48%

MIMM 2010‐2011 7 3 43% 5 1 20% 72 39 54% 84 43 51%

MIMM 2009‐2010 6 1 17% 11 2 18% 83 52 63% 100 55 55%

MIMM 2008‐2009 9 0% 2 0% 86 37 43% 97 37 38%

MIMM 2007‐2008 6 0% 5 2 40% 71 33 46% 82 35 43%

MIMM 2006‐2007 11 2 18% 8 0% 112 52 46% 131 54 41%

MIMM 2005‐2006 7 1 14% 9 1 11% 89 28 31% 105 30 29%

PHAR 2012‐2013 4 1 25% 3 0% 38 23 61% 45 24 53%

PHAR 2011‐2012 17 13 76% 17 13 76%

PHAR 2010‐2011 4 4 100% 4 4 100%

PHAR 2009‐2010 1 0% 2 2 100% 3 2 67%

PHAR 2008‐2009 1 0% 1 0 0%

PHAR 2007‐2008 1 1 100% 1 1 100%

PHAR 2006‐2007 0 0

PHAR 2005‐2006 0 0

PHGY 2012‐2013 11 1 9% 5 2 40% 110 30 27% 126 33 26%

PHGY 2011‐2012 6 0% 18 3 17% 80 26 33% 104 29 28%

PHGY 2010‐2011 11 2 18% 9 4 44% 66 17 26% 86 23 27%

PHGY 2009‐2010 11 2 18% 8 0% 106 26 25% 125 28 22%

PHGY 2008‐2009 10 4 40% 17 0% 76 21 28% 103 25 24%

PHGY 2007‐2008 11 1 9% 24 3 13% 94 30 32% 129 34 26%

PHGY 2006‐2007 8 1 13% 12 0% 131 23 18% 151 24 16%

PHGY 2005‐2006 13 2 15% 17 0% 112 18 16% 142 20 14%

ENVR 2012‐2013 6 6 100% 11 10 91% 27 26 96% 44 42 95%

ENVR 2011‐2012 2 2 100% 6 6 100% 26 25 96% 34 33 97%

ENVR 2010‐2011 1 1 100% 5 5 100% 13 13 100% 19 19 100%

ENVR 2009‐2010 3 3 100% 8 8 100% 19 19 100% 30 30 100%

ENVR 2008‐2009 3 3 100% 10 10 100% 12 12 100% 25 25 100%

ENVR 2007‐2008 4 4 100% 5 5 100% 21 21 100% 30 30 100%

ENVR 2006‐2007 5 5 100% 3 3 100% 23 23 100% 31 31 100%

ENVR 2005‐2006 8 8 100% 9 9 100% 27 27 100% 44 44 100%




graduates


course


# of graduates


course


# of graduates


course


# of graduates


course


Other 2012‐2013 4 4 100% 5 3 60% 49 36 73% 58 43 74%

Other 2011‐2012 1 1 100% 5 4 80% 44 37 84% 50 42 84%

Other 2010‐2011 2 1 50% 9 7 78% 38 32 84% 49 40 82%

Other 2009‐2010 4 2 50% 2 2 100% 20 18 90% 26 22 85%

Other 2008‐2009 2 1 50% 3 2 67% 31 20 65% 36 23 64%

Other 2007‐2008 1 0% 16 9 56% 17 9 53%

Other 2006‐2007 1 0% 3 1 33% 4 1 25%

Other 2005‐2006 3 0% 4 0% 6 1 17% 13 1 8%

Numbers of B.Sc. graduates who completed at least one research course

"Research course" means a course number currently approved for the Dean's Multidisciplinary Undergraduate Research List;

this list EXCLUDES lab courses, but INCLUDES (for example) honours projects, independent research projects, etc.

Data source: Custom report from Brian Haughton, Enrolment Services (req13419_Aug_22_2013_VC.xls)

Summary prepared by Victor Chisholm, 2014‐02‐21


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