Spring 2022 - MATH 475 D100

Mathematical Topics in Data Science (3)

Foundations & Algorithms

Class Number: 3309

Delivery Method: In Person


  • Course Times + Location:

    Mo, We, Fr 9:30 AM – 10:20 AM
    WMC 2830, Burnaby

  • Prerequisites:

    MATH 242, MATH 240 or MATH 232 and STAT 270, all with a minimum grade of C-.



An exploration of the mathematics of data science. Analysis of the foundations of algorithms currently used in the field. Potential topics to be covered include: machine learning, compressed sensing, clustering, randomized numerical linear algebra, complex networks and random graph models. Students may repeat this course for further credit under a different topic.


  • Homework 36%
  • Presentation 20%
  • Participation 10%
  • Final Project 34%



Lecture notes and selected readings will be provided in class. 


Foundations of Machine Learning, 2nd ed. 
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
MIT Press, 2018

Foundations of Data Science
Avrim Blum, John Hopcroft, Ravindran Kannan
Cambridge University Press, 2020
ISBN: 9781108755528

Registrar Notes:


SFU’s Academic Integrity web site 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


Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.