| Instructor(s) | Tien Le [Coordinator] Office: TBA Phone: TBA Email: tien.loc.le@torontomu.ca Office Hours: [Virtual] Thursday 1-2 pm | ||||||||||||||
| Calendar Description | This course will introduce students to emerging areas in biomedical engineering with specific topics geared towards current trends. The course is structured to be a technical elective i.e., the content may change from year to year depending on the specific topics covered in the course and may be taught by one or more instructors. Students may be required to undertake a major project. | ||||||||||||||
| Prerequisites | BLG 601, BLG 701, BME 406, BME 423, BME 501, BME 506, BME 516, BME 632, BME 639, BME 674, BME 634, and MTH 410 | ||||||||||||||
| Antirequisites | None | ||||||||||||||
| Corerequisites | None | ||||||||||||||
| Compulsory Text(s): |
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| Reference Text(s): |
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| Learning Objectives (Indicators) | At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB). | ||||||||||||||
| Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||||
| Teaching Assistants | Ajay Singh, Email: ajay.banwait.singh@torontomu.ca Alysha Prem, Email: alysha.prem@torontomu.ca | ||||||||||||||
| Course Evaluation |
Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section above for details on the Theory and Laboratory components (if applicable). | ||||||||||||||
| Examinations | Midterm exam in Week 7, open book (covers Weeks 1-6). Final exam, during exam period, open book (covers Weeks 1-13). | ||||||||||||||
| Other Evaluation Information | Labs: TA(s) will be available only during the scheduled Lab sessions for consultations and evaluation of demos. | ||||||||||||||
| Teaching Methods | In-person lectures. | ||||||||||||||
| Other Information | Lecture and laboratory schedules are tentative and subject to change. Consult D2L for updates. Labs and Project are single student individual course components. Project: From week 11-13, students will execute queries on synthetic and/or real world data using big data tools and perform simple pattern classification and/or statistical analysis. Details of project requirements/report format will be discussed in the class. | ||||||||||||||
Week | Hours | Chapters / | Topic, description |
|---|---|---|---|
1 | 3 | Ch 1: ALL | Introduction: Big Data Health Analytics Predictive Analytics Machine Learning ML Design Cycle |
2-4 | 7 | Ch 2: 2.1-2.6, 2.9 (exclude 2.3.1 & 2.3.2) | Bayesian Decision Theory |
4-8 | 10 | Ch 5 & 6: 5.1-5.6, 5.8, 6.1-6.5, 6.8 (exclude 5.5.3, 5.6.2, 5.8.2-5) | Linear Discriminant Functions & Multilayer Neural Networks |
8-10 | 8 | Ch 9 & 10: 10.1-10.4, 10.6, 10.9, 10.13, 9.1-9.5 (exclude 9.5.3-4, 10.9.3-4) | Unsupervised Learning Clustering Component Analysis and Algorithm Independent Machine Learning |
11 | 2 | Ch 7: 7.5, 7.5.1 (exclude 7.5.2-3) | Evolutionary Methods Genetic Algorithm |
11-12 | 4 | Seminar(s) | Health Analytics & Big Data [Guest Lecture(s)]. |
13 | 3 | Ref Text: 3 | Big Data/ML BME Application - Case study from literature & Course Review |
Week | L/T/A | Description |
|---|---|---|
1-2 | Introduction | Introduction: Data Analysis using MATLAB |
3-4 | Lab 1 | Bayesian Decision Theory |
5-6 | Lab 2 | Linear Discriminant Functions |
7-8 | Lab 3 | Multilayer Neural Networks |
9-10 | Lab 4 | Unsupervised Learning & Algorithm-Independent Machine Learning |
11-13 | Project | Details of project requirements will be discussed in the class |
Students are reminded that they are required to adhere to all relevant university policies found in their online course shell in D2L and/or on the Senate website
Refer to the Departmental FAQ page for furhter information on common questions.
The University Libraries provide research workshops and individual consultation appointments. There is a drop-in Research Help desk on the second floor of the library, and students can use the Library's virtual research help service to speak with a librarian, or book an appointment to meet in person or online.
You can submit an Academic Consideration Request when an extenuating circumstance has occurred that has significantly impacted your ability to fulfill an academic requirement. You may always visit the Senate website and select the blue radio button on the top right hand side entitled: Academic Consideration Request (ACR) to submit this request.
For Extenuating Circumstances, Policy 167: Academic Consideration allows for a once per semester ACR request without supporting documentation if the absence is less than 3 days in duration and is not for a final exam/final assessment. Absences more than 3 days in duration and those that involve a final exam/final assessment, always require documentation. Students must notify their faculty/contract lecturer once a request for academic consideration is submitted. See Senate Policy 167: Academic Consideration.
Longer absences are not addressed through Policy 167 and should be discussed with your Chair/Director/Program to be advised on next steps.
Visit the Electrical, Computer and, Biomedical Engineering department's faculty page for contact information.
Students are to strictly adhere and follow:
During the lab sessions, to avoid tripping hazards, the area around the lab stations should not be surrounded by bags, backpacks etc, students should place their bags, backpacks etc against the walls of the labs and/or away from their lab stations in such a way that it avoids tripping hazards.
Please see the Toronto Metropolitan University's Accessibility website for the university's statement on accessibility.
Academic Accommodation Support (AAS) is the university's accessibility services office, supporting students with disabilities. AAS works with students, faculty, and staff to create inclusive learning environments, reduce barriers, and promote accessibility across the university.
If you have (or suspect you may have) a disability, AAS can provide consultation, guide you through registration, develop accommodation plans where appropriate, and connect you with supports and services. For information about eligibility, documentation requirements, registration, deadlines, and available services, visit AAS.
Academic Accommodations (for students with disabilities) and Academic Consideration (for short-term extenuating circumstances) are governed by different university policies. Learn more about each process and how to access support. Students registered with AAS may request academic consideration (related or unrelated to their disability) if they experience extenuating circumstances that impact their ability to meet their shorter term academic obligations. This includes short term physical or mental health issues that are sudden/acute (e.g, the flu), unexpected illness or injury, hospitalization or treatment, and significant aggravation of a pre-existing condition. Please see Policy 167: Academic Consideration for more information and details.
Please note that there is no accommodation for missing/rescheduling or reweighting of tests - this is considered an alternate arrangement. Any student who misses a test/exam will be directed to submit an ACR to explore if possible alternate arrangements under Policy 167: Academic Consideration can apply .
At Toronto Metropolitan University, we recognize that things can come up throughout the term that may interfere with a student’s ability to succeed in their coursework. These circumstances are outside of one’s control and can have a serious impact on physical and mental well-being. Seeking help can be a challenge, especially in those times of crisis.
If you are experiencing a mental health crisis, please call 911 and go to the nearest hospital emergency room. You can also access these outside resources at anytime:
If non-crisis support is needed, you can access these campus resources:
We encourage all Toronto Metropolitan University community members to access available resources to ensure support is reachable. You can find more resources available through the Toronto Metropolitan University Wellbeing Central website.