Spring 2018 - CMPT 829 G200
Special Topics in Bioinformatics (3)
Class Number: 11166
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 3 – Apr 10, 2018: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
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Instructor:
Maxwell Libbrecht
maxwl@sfu.ca
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Prerequisites:
Permission of the instructor.
Description
CALENDAR DESCRIPTION:
Examination of recent literature and problems in bioinformatics. Within the CIHR graduate bioinformatics training program, this course will be offered alternatively as the problem-based learning course and the advanced graduate seminar in bioinformatics (both concurrent with MBB 829).
COURSE DETAILS:
his is a seminar-style course focusing on applications of deep neural networks. Each class, students will present papers on recent advances in deep learning. We will choose the papers based on the interests of the enrolled students. We will aim to cover methods that apply a variety of network architectures, learning strategies and implementations. Application areas include: - Genomics - Biological imaging - Vision - Speech - Natural language - Recommender systems - Knowledge representation A primary focus of this course will be on building presentation skills. Giving good presentations at conferences and job visits is a critical skill for success in academia or industry. Each student will receive feedback on their talk from the instructor and the other students. General guidelines and strategies for giving good talks will be given, and students will receive feedback on their presentations from the instructor and other students.
Grading
NOTES:
Grades will be determined by presentations and participation in class.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
Registrar Notes:
SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS