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Section | Day | Time | Instructor | Exam Date | Delivery |
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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 890BA - Secure Computers and Networks |
Secure Computers and Networks: Fundamentals of Computer Security, Cryptography and Security Standards, Fire walls and Web Security and Case studies. |
001 |
|
- |
Habib Louafi |
|
|
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 |
|
|