Spring 2023 - CMPT 733 G100
Professional Master's Program Lab II (6)
Class Number: 6523
Delivery Method: In Person
Course Times + Location:
Jan 4 – Apr 11, 2023: Thu, 2:30–4:20 p.m.
The second of two lab courses that are part of the professional master's program in the School of Computing Science. Aims to provide students with experience needed for a successful career in the information technology industry. Students will learn core concepts of artificial intelligence, applied data science, and system and network security. Specifically, this includes data analytics, advanced statistics and data visualization, deep learning, and anomaly detection.
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.
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.
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