Course Timetable

Section	Day	Time	Instructor	Exam Date	Delivery
2021 Winter 2021 Spring/Summer 2021 Fall
CS 820 - Artificial Intelligence
Logics; natural language processing; knowledge representation; uncertainty reasoning; machine learning; expert systems; neutral networks. Prior to registering for this course, students should have a background in artificial intelligence comparable to the senior undergraduate level.
001	M	11:30am - 2:15pm	Malek Mouhoub	26-APR-21	RLDS
CS 824 - Informational Retrieval
Content analysis; types of storage and retrieval systems; retrieval models; information theory; multimedia retrieval; hypertext; information network and inference. Prior to registering for this course, students should have a background in algorithms and data structures, and database and information retrieval comparable to the senior undergraduate level.
001	TR	4:00pm - 5:15pm	Mengjun Hu	22-APR-21	RLDS
CS 830 - Machine Learning
Models of learning; inductive inference; constructive and selective induction; learning from examples; explanation-based learning; machine discovery; grammatical inference; knowledge acquisition; applications. Prior to registering for this course, students should have a background in artificial intelligence comparable to the senior undergraduate level.
001	F	11:30am - 2:15pm	Sandra Zilles	23-APR-21	RLDS
CS 834 - Fundamentals of Computer Systems Security
This course presents the objectives and the fundamentals of computer and network system security: confidentiality, integrity, availability, authentication, and authorization. Common security concepts are detailed, such as cryptography, symmetric/asymmetric encryption, digital signature, certificate authority, hashing, communication protocol security, and audit. Mathematical foundations and applications of these methods will be explained.
001	TR	10:00am - 11:15am	Habib Louafi	22-APR-21	RLDS
CS 836 - Rough Sets & Applications
Theory of rough sets is a fundamental mathematical methodology for modelling classification or decision problems involving imprecise or uncertain information. Its implications include pattern classification, data mining, machine learning, control algorithm acquisition from data, circuit design and others. The course will provide the basics of the methodology and will include the study of the above applications of rough sets. Prior to registering for this course, students should have a background in discrete computational structures, artificial intelligence and statistical methods comparable to the senior undergraduate level.
001	TR	2:30pm - 3:45pm	Yiyu Yao	27-APR-21	RLDS
CS 842 - Intoduction to Data Science
This course provides a broad overview of the data science process lifecycle which includes data discovery, data preparation, model planning, machine learning model implementation and evaluation, visualization, and delivery. The course provides hands-on data science experience via a real-world project.
001	TR	11:30am - 12:45pm	Alireza Manashty	20-APR-21	RLDS
CS 855 - Mobile Computing
Mobile Computing focuses on conducting research in the design, development, and evaluation of software in a networked mobile environment. The primary topics to be covered in the course include network computing, graphics programming, human-computer interaction, and evaluation methods, all focused on the challenges and opportunities afforded by modern mobile computing devices.
001	MWF	09:30am - 10:20am	Trevor Tomesh	21-APR-21	RLDS
CS 858 - Virtual and Augmented Reality
Design and implementation of software in virtual and augmented reality environments. Development practices, assets and avatars, interaction, locomotion, psychological effects, audio, multiplayer considerations, applications. Limitations and future developments.
001	TR	11:30am - 12:45pm	David Gerhard	20-APR-21	RLDS
CS 872 - Software Engineering
Review of fundamental concepts; project planning; requirements analysis; program design, implementation and testing; object-oriented development; metrics and cost estimation; software reuse; CASE technology; configuration management; software engineering and Ada. * Note: Prior to registering in this course, students should have a background in software engineering methodology comparable to the senior undergraduate level. *
001	TR	1:00pm - 2:15pm	Samira Sadaoui-Mouhoub	29-APR-21	RLDS
CS 890ET - User Interface Evaluation Methods
Methods for evaluating user interfaces with human subjects. Topics include research ethics, research methods, experimental design, data collection, and data analysis.
001	W	10:30am - 1:15pm	Orland Hoeber	21-APR-21	RLDS
CS 900 - Computer Science Graduate Seminar
CS Graduate students must complete two semesters of CS 900, with the exception of MSc Course Route students, who must complete one semester of CS 900. When enrolled in CS 900, a student must make one presentation and attend all presentations. In the first semester of CS 900, the student will choose a Computer Science topic within their research area. In the second semester of CS 900 (if required), the student will choose a topic within their own research.
001	MWF	3:30pm - 4:20pm	Daryl Hepting		RLDS
CS 901 - Research
Thesis research.
001		-	Cortney Butz
003		-	Lisa Fan
004		-	Howard Hamilton
005		-	Daryl Hepting
008		-	Malek Mouhoub
010		-	Samira Sadaoui-Mouhoub
012		-	Boting Yang
013		-	Xue-Dong Yang
014		-	Jingtao Yao
015		-	Yiyu Yao
019		-	David Gerhard
022		-	Sandra Zilles
023		-	Orland Hoeber
024		-	Habib Louafi
025		-	Alireza Manashty
026		-	Nashid Shahriar
CS 902 - Project Research
A supervisor approved project requiring an in-depth student investigation of a CS problem.
001		-	Cortney Butz
003		-	Lisa Fan
004		-	Howard Hamilton
005		-	Daryl Hepting
006		-	STAFF
008		-	Malek Mouhoub
010		-	Samira Sadaoui-Mouhoub
012		-	Boting Yang
013		-	Xue-Dong Yang
014		-	Jingtao Yao
015		-	Yiyu Yao
019		-	David Gerhard
022		-	Sandra Zilles
023		-	Orland Hoeber
024		-	Habib Louafi
025		-	Alireza Manashty
026		-	Nashid Shahriar