Modular Courses

Course enrollment for Fall 2022 and Winter 2023 courses opens on July 11, 2022.

Students enrolled in MSC1010/11H can fulfill their two x 0.25 (FCE) modular course requirement (for those enrolled from September 2020 onwards) through modules offered by the Translational Research Program (TRP). Please refer to this link for information on TRP courses. Students in the Translational Research Program may also enroll in two IMS modular courses. 

Other than the above, IMS modular courses are not available to non-IMS students nor are they available for credit to IMS students enrolled in MSC1010/1011Y, who will complete their two-module requirement as part of that course and who must enroll in the modules via Quercus.

For questions about modular course enrollment please contact Sobiga Vyravanathan.

Click here for non-modular IMS courses.

Modular Courses Timetable & Descriptions

MSC1100H (0.25 FCE): Success in Graduate School: a Professional Development Module for MSc Students (Letter Graded) - Session: Winter 2023

Instructor: Pamela Plant 

Session Offered: 20231
Dates: January 20, 2023 - March 31, 2023 (6 sessions alternating weeks) Time: 3:00 - 5:00 pm, Location: In person (TBD)

Description: MSc graduates from the IMS continue their education in PhD programs and professional schools, volunteer/intern, or enter the job market. As graduate students they become familiar with an area of research, learn technical skills as applied to their research project and develop their communication and critical thinking skills. This course focuses on creating a healthy student-supervisor relationship, project and time management, developing transferable skills, and building a professional network. Each session will feature an interactive presentation, in class activities and peer evaluations. Students will be expected to read resources provided and prepare materials before each class. Complementing the course will be a series of Friday afternoon interactive career development panels and networking events.

MSC1101H (0.25 FCE): Success After Graduate School: a Professional Development Module for PhD Students (Letter Graded) - Session:  Fall 2022

Instructor: Pamela Plant

Session Offered: 20229
Dates: October 28, 2022 - December 2, 2022 (Fridays), Time: 3:00 pm - 5:00 pm, Location: In person (TBD)

Description: PhD graduates from the Institute for Medical Sciences (IMS) continue to be employed as professors and scientists in research institutes but increasingly are finding jobs in other sectors of the economy. This course module is designed to enable PhD students to assess and develop their leadership and transferable skills in order to take better advantage of the opportunities available to them in academia and beyond. Each session will feature an interactive presentation and in-class activities. Complementing the course will be IMS Connects, a series of Friday afternoon interactive career development panels and networking events designed for IMS students featuring alumni working in various sectors.

MSC1102H (0.25 FCE): Psychiatric Implications of Traumatic Brain Injury (Credit/No Credit) - Session: TBD

Instructor: Shree Bhalerao

Session Offered: TBD
Start Date: TBD, Location: TBD

Description: Traumatic brain injury (TBI) has become very popular in the fields of neurology, neurosurgery, psychiatry and in the media. Most studies suggest that fifty percent of TBIs are not reported and thus go untreated. Despite this, most people are unaware that the risk for psychiatric disorders can double following a TBI. Thus, a team of two psychiatrists and a neuroscientist will present a module on the psychiatric sequalae following TBI. The course will xamine six main psychiatric issues associated with TBI: depression, anxiety, addiction, agitation, aggression, and the stigma associated. Each session will utilize didactic, interactive, multimedia elements and group activities to explore diagnostic, neurological, and management issues associated with TBI

MSC1103H (0.25 FCE): Knowledge Translation (Credit/No Credit) - Session: TBD

Instructor: TBD

Session Offered: TBD

DatesTBD, Time: TBD, Location: TBD

Description: CIHR defines Knowledge translation (KT) as “the exchange, synthesis and ethically-sound application of knowledge—within a complex system of interactions among researchers and users—to accelerate the capture of the benefits of research for Canadians through improved health, more effective services and products, and a strengthened health care system”. A prominent characteristic of KT is that it encompasses all steps between the creation of new knowledge and its application to yield beneficial outcomes for society. Essentially, KT is an interactive process underpinned by effective exchanges between researchers who create new knowledge and those who use it. KT can narrow the gaps between health research, health practice and health policy. KT concepts are universal and broadly applicable; yet teaching and learning about how to do effective KT has long been a challenge.

This introductory course in Knowledge Translation is designed to give students brief background knowledge in the importance of knowledge  translation in their research, prominent knowledge translation theories and models, strategies and measures to support research use in various fields and the importance of multi-faceted KT approaches. Our approach to KT is rooted in theory and science, but our application of KT is uniquely pragmatic and focused on real-world impact.

MSC1104H (0.25 FCE) Neurodegenerative Disease (Credit/No Credit) - Session: Winter 2023

Instructor: Carmela Tartaglia, Filsy Samuel; permission is required to enroll in this course. Please send a brief statement of interest/background via email for enrollment approval.

Session Offered: 20231
Dates: February 7, 2023 - March 28, 2023 (Tuesdays), Time 4:00 - 6:00 pm, Location: In person (TBD)

Description: A clinical and research overview of neurodegenerative diseases with a special focus on Alzheimer’s and Parkinson’s Disease. The module will provide students with a thorough understanding of clinical presentation, genetic and environmental causes, molecular underpinnings, and advances in therapeutic and biomarker research.

MSC1105H (0.25 FCE) Clinical Trials (Credit/No Credit) - Session: Summer 2022

Instructor: Peter Juni

Contact Information: Joanne Roberti

Session Offered: 20225F
Dates: May 4, 2022 - June 3, 2022 (Wednesdays and Fridays) Time: 3-5 pm (Last class 3-5:30 pm) Location: Online

Description: To provide IMS students with an introduction to clinical trials.

MSC1106H (0.25 FCE) Respiratory Global Research and Training (GREAT) Network Epidemiology, Biostatistics and Surveillance Practicum (Credit/No Credit) - Session: Winter 2023

Instructor: Teresa To

Session Offered: 20231
Dates: February 6, 2023 - March 26, 2023, Location: Online Asynchronous 

Description: Each week over 7 weeks, basic concepts will be introduced in a 2-hour session at the GREAT Network SharePoint Server. To facilitate learning, exercises or tutorials will be given to trainees to work at their own time. You will be given instructions on attending the sessions via a log on user account and password. Course materials (reading materials, PowerPoint Presentations and handouts) will be downloadable from our SharePoint Server which will be opened for access to all participants after registration. To receive the certificate of completion, attendance of all 7 lectures is required. Each lecture will be opened to access for a week and participants can review the lecture at his/her own time and pace. At the end of each week’s lecture, participants are required to take a small quiz (comprises of about 5 multiple choice or short questions). Completion of the quiz is required to move forward to the next lecture.

MSC1107H (0.25 FCE) Biostatistics in a Nut Shell (Credit/No Credit) - Session: Fall 2022

Instructor: Pascal Tyrrell

Session Offered: 20225
Start Date: September 7, 2022, Time: 6:00-7:30 pm (alternating weeks), Location: In person (TBD)

Description: This short course is primarily for students in a MSc, PhD, or residency program that has a requirement of a data analysis. Students learn about important fundamental statistical principles by studying the analysis of real data.  Link to discussions:  http://www.tyrrell4innovation.ca/biostatistics-in-a-nutshell

MSC1108H (0.25 FCE): Animal Models of Human Diseases (Credit/No Credit) - Session: TBD

Instructor: Gaspard Montandon

Session Offered: TBD
Start Date: TBD, Time: TBD,  Location: In person 

Description: Animal Models of Human Diseases is a short course covering a wide variety of animal models which aim at reproducing human diseases and identify new therapeutic solutions.

MSC1109H (0.25 FCE): Introduction to Neuroimaging (Credit/No Credit) - Session: Summer 2022

Instructor: Ben Dunkley

Session Offered: 20225
Start Date: May 26, 2022, Time: Thursdays 1-3 pm Location: In person (MS 2173)

Description: This module will provide a general survey of the major imaging modalities used in neuroimaging research. Several lecturers will talk about how these imaging methods have improved our understanding of various neurological disease conditions, with examples of where this has translated into improved clinical practice. We will review lesion studies, transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS), which all speak to the importance of understanding the spatial localization of brain function.

MSC1110H (0.25 FCE): Strategic Training in Transdisciplinary Radiation Science for the 21st Century (STARS21) (Credit/No Credit) - Session:  TBD

Instructor: Shane Harding , C. Anne Koch 

Session Offered: TBD
Start Date: TBD, Time: TBD,  Location: TBD

Description:  The overall objective of this course is to develop an understanding of the transdisciplinary nature of radiation science both in practical clinical application and in research. This foundational knowledge will be built upon by placing radiation science in the context of the greater scientific enterprise academically and within society. 

Each interactive session is led by an expert in the topic who gives an introduction, followed by discussion or a group activity. 

Brainstorm Sessions 2021-2022

Brainstorm Sessions 2021-2022 (104.4 KB)

Sessions include: 

  • Group presentations of trainee's projects 
  • Introduction to radiation biology, radiation oncology and physics for radiotherapy 
  • Science communication 
  • Knowledge translation 
  • Introduction to "Hot topics" in cancer research with a focus on radiation medicine (examples include personalized medicine, trial design, machine learning) 
  • Entrepreneurship 
  • Team science 
  • Career path

MSC1111H (0.25 FCE) Strategies for Systematic, Coping, or Other Comprehensive Searches of Literature (Credit/No Credit) - Session: TBD

Instructor: Mina TadrousKaitlin Fuller

Session Offered: tbd
Date: tbd, Time: tbd; Location: tbd

Description: A systematic review of the literature is essential when conducting evidence-based research, especially in the health and life sciences. There is an increase in the number of systematic reviews, scoping reviews, or similar methodological reviews of the literature known as knowledge syntheses (KS) published each year. Learning outcomes for this module stress students’ critical understanding of the why, how and to what ends the search for a KS affects the overall quality of a review.

MSC1113H (0.25 FCE) Radiomics and Machine Learning in Medical Imaging (Credit/No Credit) - Session: Fall 2022

Instructor: Farzad Khalvati

Session Offered: 20229
Date: November 2, 2022 - December 7, 2022 (Wednesdays), Time: 10:00 am -12:00 pm, Location: In person (TBD)

Description:  This is a 6-week modular course (0.25 FCE) designed to provide an understanding of fundamentals of Artificial Intelligence / Machine Learning (AI/ML) for wide applications in medical imaging. Medical Imaging, which is an important specialty in medicine for diagnosis, prognosis, and intervention of different types of diseases including cancer, is increasingly moving toward quantitative approaches. AI/ML algorithms are playing a key role in quantitative medical imaging analytics for disease diagnosis (detection) and prognosis (prediction). With the help of recent advances in AI/ML and computer vision, novel predictive models are capable of diagnosing a disease with high accuracy and consistency, and predicting clinical outcomes (e.g., response to treatment) with an accuracy, which is beyond existing clinical methods.

MSC1114H (0.25 FCE) Artificial Intelligence in Medicine (Credit/No Credit)  - Session: Fall 2022

Instructor: Pascal Tyrrell

Session Offered: 20229
Start Date: September 14, 2022, Time: 6:00 - 7:30pm (alternating weeks), Location: In person (TBD)

Description:  Artificial Intelligence (AI) is a rapidly developing field and has been revolutionizing the medical field to benefit medicine. This course uses recent literature, papers, and examples to look at the applications of AI tools to see how they can directly assist patients and medical professionals. This 0.25 FCE course is primarily for students in a MSc or PhD program that would like to gain insight on the emerging field. Some topics discussed include challenges in the medical field and how AI can help, applications of AI/ML, and future of AI in medicine

MSC1115H (0.25 FCE) Digital Imaging for Cellular Microscopy (Letter Graded) - Session: Fall 2022

Instructor: Caterina Di Ciano-Oliveira

Session Offered20229 

Dates: October 27, 2022 to December 1, 2022 (Thursdays), Time 2:00 - 4:00 pm, Location: MS3287 (In person)

Description:  Each of the 6 sessions will consist of a theoretical component and a hands on component using sample data sets to facilitate the development of adequate image manipulation and analysis skills.

Enrollment Instructions: Permission is required to enroll in this course. Please email caterina.diciano-oliveira@unityhealth.to and copy cc.medscience@utoronto.ca