Spring 2022 - CMPT 318 D100
Special Topics in Computing Science (3)
Class Number: 6070
Delivery Method: In Person
Course Times + Location:
Tu 2:30 PM – 4:20 PM
BLU 9660, Burnaby
Fr 2:30 PM – 3:20 PM
EDB 7618, Burnaby
1 778 782-6775
Prerequisites:CMPT 225 with a minimum grade of C-. Additional prerequisites to be determined by the instructor subject to approval by the undergraduate program chair.
Special topics in computing science at the 300 level. Topics that are of current interest or are not covered in regular curriculum will be offered from time to time depending on availability of faculty and student interest.
This course introduces cybersecurity and explores cyber situational awareness methods and threat intelligence models. Cyber security analytics and probabilistic modeling for threat detection and response (mitigative action) will play a central role. Coursework involves using the R language and software environment for statistical computing and graphics. Fundamental principles and practices of cybersecurity risk assessment, intrusion detection and prevention, critical infrastructure protection will be discussed in detail.
- Probability theory and probabilistic modeling
- Stochastic processes and Markov models
- Cyber threat analysis and intrusion detection
- Advanced persistent threats and zero day exploits
- Time series analysis and forecasting
- Anomaly detection and scoring methods
- Risk assessment and management
- Blockchain technology
The course has three tests (worth 30% of the total grade), three graded assignments (worth 20%) and a term project organized as group project with a project report and presentation in class (worth 45%). There will also be reading assignments and several tutorials. Class participation accounts for up to 5% of the total grade. This grading scheme is tentative and to be finalized during the first week of classes.
An Introduction to Statistical Learning with Applications in R, G. James, D. Witten, T. Hastie, and R. Tibshirani, Springer, 2017
How to Measure Anything in Cybersecurity Risk, Douglas W. Hubbard and Richard Seiersen, John Wiley & Sons, 2016
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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
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 (email@example.com or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.