Note: This is the 2019鈥�2020 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Program Requirements
Thesis
A thesis for the doctoral degree must constitute original scholarship and must be a distinct contribution to knowledge. It must show familiarity with previous work in the field and must demonstrate ability to plan and carry out research, organize results, and defend the approach and conclusions in a scholarly manner. The research presented must meet current standards of the discipline; as well, the thesis must clearly demonstrate how the research advances knowledge in the field. Finally, the thesis must be written in compliance with norms for academic and scholarly expression and for publication in the public domain.
Required Courses (9 credits)
-
EXSU 601 Knowledge Management 1 (3 credits)
Overview
Experimental Surgery : Critical elements required for the preparation and evaluation of abstracts and full-length manuscripts.
Terms: Fall 2019
Instructors: Haglund, Lisbet; Rosenzweig, Derek (Fall)
3 hours/week.
Compulsory for students in the Department of Surgery and available to others by permission of the coordinators.
Restriction: Not open to students who have taken EXSU 601, 601D1/D2, 601N1/N2 prior to Fall 2019.
-
EXSU 602 Knowledge Management 2 (3 credits)
Overview
Experimental Surgery : Critical elements required for the creation and delivery of digital slide presentations.
Terms: Winter 2020
Instructors: Lapointe, Jacques (Winter)
3 hours/week
Compulsory for students in the Department of Surgery and available to others by permission of the coordinators
Restriction: Not open to students who have taken EXSU 601, 601D1/D2, 601N1/N2 prior to Fall 2019.
-
EXSU 700 Comprehensive Examination
Overview
Experimental Surgery : An examination that must be passed by all doctoral candidates in order to continue in the doctoral program.
Terms: Fall 2019, Winter 2020
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
And:
3 credits from the following:
-
EDPE 575 Statistics for Practitioners (3 credits)
Overview
Ed Psych & Couns (Psychology) : Understanding and interpreting basic statistical procedures used in basic and applied research, including graphs, measures of central tendency and variability, hypothesis testing, and correlations, t-tests, and basic ANOVA designs.
Terms: Winter 2020
Instructors: Robinson, Kristy; Bruzzese, Sam (Winter)
Prerequisite EDPE 602
-
EPIB 507 Biostats for Health Sciences (3 credits)
Overview
Epidemiology & Biostatistics : Basic principles of statistical inference applicable to clinical, epidemiologic, and other health research. Topics include: methods of describing data, statistical inference for means, statistical inference for proportions, non-parametric statistics, correlation and introduction to linear regression.
Terms: Fall 2019
Instructors: Zhang, Ting (Fall)
Prerequisite: Permission of instructor
Restriction: Restricted to students registered in the Faculty of Medicine, Dentistry, Human Nutrition, Medical Residents, and Clinical Fellows.
Course not opened to students registered in the Epidemiology and Biostatistics programs.
Due to the intensive nature of this course during the summer session, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day. The standard add/drop and withdrawal deadlines apply for sections of this course offered during the Fall or Winter semesters.
Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day.
-
EXSU 606 Statistics for Surgical Research (3 credits)
Overview
Experimental Surgery : Review of statistics for surgical research.
Terms: Fall 2019
Instructors: Dragomir, Elena (Fall)
2 hours/week
Compulsory for students in the Department of Surgery and available to others by permission of the coordinators
Complementary Courses (6 credits)
6 credits at the 500 level or higher in the student's specialty, selected in consultation with the Research Supervisory Committee.
