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Master of Science (M.Sc.) Mathematics and Statistics (Thesis): Bioinformatics (48 credits)

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Offered by: Mathematics and Statistics     Degree: Master of Science

Program Requirements

Thesis Courses (24 credits)

Required Course (3 credits)

  • COMP 616D1 Bioinformatics Seminar (1.5 credits)

    Offered by: Computer Science (Faculty of Science)

    Administered by: Graduate Studies

    Overview

    Computer Science (Sci) : Introduction to current trends in Bioinformatics and closely related fields such as genomics and proteomics.

    Terms: This course is not scheduled for the 2018-2019 academic year.

    Instructors: There are no professors associated with this course for the 2018-2019 academic year.

    • Restrictions: This seminar is restricted to graduate students in the Bioinformatics Option. Enrolment is limited to 30 students.

    • Note: The seminar will meet for 3 hours every second week over Fall and Winter semesters.

    • Students must register for both COMP 616D1 and COMP 616D2.

    • No credit will be given for this course unless both COMP 616D1 and COMP 616D2 are successfully completed in consecutive terms.

  • COMP 616D2 Bioinformatics Seminar (1.5 credits)

    Offered by: Computer Science (Faculty of Science)

    Administered by: Graduate Studies

    Overview

    Computer Science (Sci) : See COMP 616D1 for description.

    Terms: This course is not scheduled for the 2018-2019 academic year.

    Instructors: There are no professors associated with this course for the 2018-2019 academic year.

    • Prerequisite: COMP 616D1.

    • No credit will be given for this course unless both COMP 616D1 and COMP 616D2 are successfully completed in consecutive terms.

Complementary Courses (21 credits)

6 credits from the following:

  • BINF 621 Bioinformatics: Molecular Biology (3 credits)

    Offered by: Plant Science (Agricultural & Environmental Sciences)

    Administered by: Graduate Studies

    Overview

    Bioinformatics : The main problems related to the analysis of biological sequences (sequence comparison, homology, gene annotation, phylogenetic inference, comparative genomics) and the computational approaches (dynamic programming algorithms, Blast heuristics, hidden Markov models, Bayesian statistics).

    Terms: Winter 2019

    Instructors: Stromvik, Martina (Winter)

    • Restriction: Enrolment by students in the Bioinformatics option or by permission from the course coordinators only. Limited to 30 students.

  • BMDE 652 Bioinformatics: Proteomics (3 credits)

    Offered by: Biomedical Engineering (Faculty of Medicine and Health Sciences)

    Administered by: Graduate Studies

    Overview

    Biomedical Engineering : Overview of high-throughput proteomic technologies commonly employed to study the localization and function of all proteins in an organism, and the bioinformatic approaches to analyze raw data and deposit them in proteome databases.

    Terms: This course is not scheduled for the 2018-2019 academic year.

    Instructors: There are no professors associated with this course for the 2018-2019 academic year.

    • Prerequisite: Enrolment in Bioinformatics option program or permission by coordinators.

    • Note: The course is inter-disciplinary and is targeted to students with different scientific backgrounds. A substantial portion of marks will be given based on practical assignments.

  • BTEC 555 Structural Bioinformatics (3 credits)

    Offered by: Parasitology (Agricultural & Environmental Sciences)

    Overview

    Biotechnology : Fundamentals of protein structure and the application of tools for structure determination, how protein structure allows us to understand the complex biological functions, and how knowledge of protein structure can contribute to drug discovery.

    Terms: Winter 2019

    Instructors: Salavati, Reza; Sulea, Traian (Winter)

    • Winter

    • 1-hr lecture, followed by 2 hrs of computer lab.

    • Prerequisite: Molecular biology or biochemistry, and basic bioinformatics, or permission of instructor.

  • COMP 618 Bioinformatics: Functional Genomics (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Administered by: Graduate Studies

    Overview

    Computer Science (Sci) : Techniques related to microarrays (normalization, differential expression, class prediction, class discovery), the analysis of non-coding sequence data (identification of transcription factor binding sites), single nucleotide polymorphisms, the inference of biological networks, and integrative Bioinformatics approaches.

    Terms: This course is not scheduled for the 2018-2019 academic year.

    Instructors: There are no professors associated with this course for the 2018-2019 academic year.

    • Prerequisite: Enrolment in Bioinformatics Option Program or permission of coordinators.

    • Restrictions: Enrolment by students in the Bioinformatics Option Program or by permission of course coordinators only. Computer Science graduate students not in the Bioinformatics Option Program need additional permission of the M.Sc. or Ph.D. Committee respectively.

  • PHGY 603 Systems Biology and Biophysics (3 credits)

    Offered by: Physiology (Faculty of Medicine and Health Sciences)

    Administered by: Graduate Studies

    Overview

    Physiology : Introduction to classical and current topics in biophysics and systems biology in order to model the control of gene expression and intracellular signal transduction, as well as gene spread in populations.

    Terms: This course is not scheduled for the 2018-2019 academic year.

    Instructors: There are no professors associated with this course for the 2018-2019 academic year.

    • Prerequisite: Knowledge of differential equations at the MATH 315 level or equivalent.

    • Notes: Enrolment is limited to 20 students per semester. The course is 1.5 hours of lecture and 1.5 hours of seminar per week. Readings will focus on classic and current journal articles.

15 credits of approved courses at the 500 or 600 level. Additional courses may be required at the discretion of the candidate's supervisory committee.

Faculty of Science—2018-2019 (last updated Aug. 22, 2018) (disclaimer)
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