Spring 2023 - MBB 110 D102

Data Analysis for Molecular Biology and Biochemistry (3)

Class Number: 5964

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 4 – Apr 11, 2023: Fri, 2:30–4:20 p.m.
    Burnaby

  • Prerequisites:

    MATH 12 or equivalent is recommended.

Description

CALENDAR DESCRIPTION:

Introductory data analysis focusing on molecular biology data sets and examples and including basic programming skills using Python and basic statistics skills using R. Students with credit for MBB 243 may not take this course for further credit. CMPT 120 will be accepted in lieu of MBB 110.

Materials

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Department Undergraduate Notes:


  • For help with writing, learning and study strategies please contact the Student Learning Commons at
    http://learningcommons.sfu.ca/
  • Students requiring accommodations as a result of a disability, must contact the Centre for Accessible Learning (778-782-3112 or e-mail:  caladmin@sfu.ca)

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website http://www.sfu.ca/students/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