Previous course code: LIFS 4580
An introduction to bioinformatic analysis in life sciecne. Students will learn about the principles and approaches used in working with genetic, genomic and proteomic data. Applications to basic science and translational research will also be introduced. No experience in computer programing is required.
Remarks: BCB and BIOT elective
LIFS 3140Learn more: Read More
IMPORTANT NOTE: Last offering term of this course – Fall 2020-2021.
[Alternative code: BIEN 3020] Biological physics involves the application of physics to achieve an understanding of life processes. This is the second of a two-course series that will prepare advanced undergraduates for research and technical work in Biological physics. It covers advanced biological physics such as molecular and cellular biological physics, photophysics, single-molecule biophysics, medical biophysics, membrane biological physics, neurobiophysics, biostatistics, biomathematics, bioinformatics, computational biology and protein engineering. At the conclusion of this course, students will be able to critically assess primary research literature written for a general scientific audience. They will also be prepared for mentored practical research investigations or professional job related to biological physics.
BIPH 2010 AND (LIFS 2010 OR LIFS 2040) AND (PHYS 1114 OR PHYS 1314)Learn more: Read More
Chromosome biology and epigenetics is an important field highly relevant to human health. This course will cover recent advances in the fields of epigenetics and chromosome biology.
LIFS 2210Learn more: Read More
Determination of protein sequences and three-dimensional structures; relationship between structure and function; principles of protein design and engineering; molecular, biochemical and genetic approaches to study protein function and regulation.
LIFS 2210Learn more: Read More
[LIFS 4190 is offered in every other year.]
Recent advances in the study of cellular structure and function; molecular mechanisms of cell function; cell division and cell cycle; cell-cell signaling; molecular and cellular control in small eukaryotes; control of cell differentiation and morphogenesis.
LIFS 3020 or LIFS 3030 (prior to 2016-17)Learn more: Read More
Fundamentals in the epidemiology, etiology and treatment of cancers; basic mechanisms of carcinogenesis. For LIFS and BIBU students in their third year (for 3Y degree) or fourth year (for 4Y degree) of study.
LIFS 3020 OR LIFS 3030 OR LIFS 3140Learn more: Read More
Cellular, biochemical and genetic basis of immunity; cells in immune response, antigens and antigen recognition; antibodies and the generation of diversity; major histocompatibility complex; cell mediated immune response; regulation of immune response; autoimmunity, tissue transplantation and rejection.
LIFS 2040/2210, and LIFS 3140Learn more: Read More
The aim of the course is for students to acquire hands-on laboratory experience in conducting a short research project and producing a formal written report. Each student will conduct the bench work for the proposal developed in the prerequisite course LIFS 3510 and hence under the same faculty supervisor as LIFS 3510. Due to the short duration, emphasis is on appreciation of the research process rather than results obtained. Approval of a faculty supervisor is required for students to enroll in the course. Graded P or F.
LIFS 3510 OR SCIE 3500Learn more: Read More
[Previous course code: LIFS 3002A]
This course will impart essential skills for communicating science to a lay audience in the laboratory setting. Students will work in groups to devise a mini‐laboratory course for detecting human genetic variants. They will then serve as instructors of the course in outreach workshops for high school students. Approval of the course instructor is needed for students to enroll in this course. For LIFS students only.
LIFS 3110Learn more: Read More
[Co-listed: BIEN 3320]
This is a course for the application of data science in biology and medicine. The course will introduce the fundamental principles on data science, the technologies and implementations of data mining, as well as the modeling of several practical questions in biomedicine. The topics include introduction to biomedical data, data visualization, regression methods and classification methods.
(COMP 1021 OR COMP 1022P OR COMP 1022Q OR COMP 2011) AND (ISOM 2500 OR LIFS 3150 OR MATH 2411) AND (LIFS3140)Learn more: Read More