Simon Fraser University
Engaging the World

Course Outlines

Spring 2026 - CMPT 741 G100

Data Mining (3)

Class Number: 5497

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 5 – Apr 10, 2026: Fri, 2:30–5:20 p.m.
    Burnaby

Description

CALENDAR DESCRIPTION:

The student will learn basic concepts and techniques of data mining. Unlike data management required in traditional database applications, data analysis aims to extract useful patterns, trends and knowledge from raw data for decision support. Such information are implicit in the data and must be mined to be useful.

COURSE DETAILS:

Topics:

Data mining

  • Introduction 
  • Classification (supervised learning)
  • Clustering (unsupervised learning) 
  • Association Rule Mining 
  • Recommendation Systems
Trustworthy AI
  • Robust Machine Learning
  • Fairness of Machine Learning Models
  • Privacy Preserving Machine Learning
  • Safety of Large Language Models 

Grading

NOTES:

Grading:

  • Class attendance and participation - 15%
  • Two assignments - 20%
  • Midterm – 35%
  • Final exam - 30%

Materials

MATERIALS + SUPPLIES:

Reference Textbook:

Data Mining: Concepts and Techniques
Jiawei Han, Micheline Kamber, Jian Pei
 

REQUIRED READING:

Introduction to Data Mining

  • Pang Ning Tan, Michael Steinbach, Vipin Kumar
  • Addison Wesley
  • 2018
  • 2nd Edition

ISBN: 9780133128901

Mining of Massive Data Sets

  • Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman
  • 2nd Edition

ISBN: 9781107077232

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 Graduate Notes:

The following are default policies in the School of Computing Science. Please check your course syllabus whether the instructor has chosen a different policy for your class, otherwise the following policies apply.
 
  • Students must attain an overall passing grade on the weighted average of exams in the course in order to get a C- or higher.
  • All student requests for accommodations for their religious practices must be made in writing by the end of the first week of classes, or no later than one week after a student adds a course. After considering a request, an instructor may provide a concession or may decline to do so. Students requiring accommodations as a result of a disability can contact the Centre for Accessible Learning (caladmin@sfu.ca).

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:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.

To learn more about the academic disciplinary process and relevant academic supports, visit: 


RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.