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Ottawa-Carleton Institute
for Computer Science

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Graduate Course Timetable
Winter 2024
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COURSE #
AREA
TITLE
INSTRUCTOR
SCHEDULE
ROOM
COMP 5112 F
CSI 5154 IF00
T,A
Algorithms for Data Science
Maheshwari, A.
Tue:
8:35-11:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5115 F
CSI 5344 IF00
A
Geometry Processing
van Kaick, O.
Mon:
10:05-11:25
Wed:
10:05-11:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5116 F
CSI 5155 IF00
E,T
Machine Learning
Guo, Y.
Fri:
14:35-17:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5118 F
CSI 5347 IF00
S
Trends in Big Data Management
El-Roby, A.
Tue:
11:35-14:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5500 A
CSI 5352 IF00
T,S
Selected Topics in Computer Science-Internet Measurements and Security
Abdou, A.
Thu:
14:35-17:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 C
CSI 5138 IH00
T,A
Selected Topics in Computer Science- Knowledge Representation for Artificial Intelligence
Bertossi, L.
Mon:
18:05-20:55
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 D
CSI 5138 ID00
T
Selected Topics in Computer Science- Approximation Algorithms
Obraztsova, S.
Mon:
14:35-17:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 E
CSI 5138 IE00
T,A
Selected Topics in Computer Science- Advance Machine Learning
Komeili, M.
Tue:
14:35-17:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 F
CSI 5139 IF00
A
Selected Topics in Computer Science- Eye Tracking in Human-Computer Interaction
Moacdieh, N.
Wed:
11:35-14:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 G
CSI 5138 IG00
T
Selected Topics in Computer Science-Multiagent Systems
Tsang, A.
Tue:
13:05-14:25
Thu:
13:05-14:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 H
CSI 5140 IF00
A,S
Selected Topics in Computer Science - Trusted Computing and Emerging Attacks
Zhao, L.
Thu:
14:35-17:25
Visit Carleton Central or email grad.scs@carleton.ca
COMP 5900 J
CSI 5139 IG00
A
Selected Topics in Computer Science- Game Design and Development Technologies
Thue, D.
Tue:
10:05-11:25
Thu:
10:05-11:25
Visit Carleton Central or email grad.scs@carleton.ca
CSI 5122 F00
COMP 5301 O
E
Software Usability
Lethbridge, T.
Wed:
8:30-11:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5134 F00
COMP 5004 0
E,S
Fault Tolerance
Nayak, A.
Thu:
19:00-21:50
https://www.uottawa.ca/current-students/course-timetable
CSI 5137 B00
COMP 5900 N
E,T
Selected Topics in Software Engineering: AI-enabled Software Verification and Testing
Nejati, S.
Tue:
14:30-17:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5137 C00
COMP 5900 O
E
Selected Topics in Software Engineering: Applications of NLP and ML in Software Engineering
Sabetzadeh, M.
Fri:
14:30-17:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5137 F00
COMP 5900 P
E
Selected Topics in Software Engineering: Data Management
Kantere, V.
Tue:
8:30-11:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5138 F00
COMP 5900 Q
T
Selected Topics in Theory of Computing: Computational Complexity
Bogdanov, A.
Wed:
14:30-17:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5148 F00
COMP 5103 O
T,S
Wireless Ad Hoc Networking
Nayak, A.
Wed:
19:00-21:50
https://www.uottawa.ca/current-students/course-timetable
CSI 5340 F00
COMP 5340 O
T
Introduction to Deep Learning and Reinforcement Learning
Mao, Yongyi
Thu:
14:30-17:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5341 F00
COMP 5341 O
A
Learning-based Computer Vision
Lang, J.
Tue:
8:30-11:20
https://www.uottawa.ca/current-students/course-timetable
CSI 5388 F00
COMP 5801 O
A
Topics in Machine Learning: AI for Cybersecurity Applications
Branco, P.
Mon:
8:30-11:20
https://www.uottawa.ca/current-students/course-timetable
Schedule Notes:
(*) Each graduate course carries two codes, one for use by students whose home university is the University of Ottawa (e.g., codes with the prefix CSI) and one for use by students whose home university is Carleton (e.g., codes with the prefix COMP). In the list of course offerings, the first listed course code indicates the university at which the course is being offered. Students should refer to the registration procedures and deadlines of their home university.
See Course Description: Carleton - uOttawa
* Please note: students are responsible for attending all classes according to the dates specified by each university.
COURSE OFFERING LEGEND:
  • Red font indicates a course offered at Carleton University
  • Red bold font indicates a course change at Carleton University
  • Blue font indicates a course offered at the University of Ottawa
  • Blue bold font indicates a course change at the University of Ottawa
  • Gray font indicates a course cancellation
AREA OF INTEREST CODES:
  • Software Engineering (E)
  • Theory of Computing (T)
  • Computer Applications (A)
  • Computer Systems(S).