CSCI-B 490 SEMINAR IN COMPUTER SCIENCE (3 CR.)
Special topics in computer science.
4 classes found
Fall 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 14630 | Closed | 11:10 a.m.–12:25 p.m. | MW | IF 1106 | Seiffert K |
Regular Academic Session / In Person
LEC 14630: Total Seats: 5 / Available: 0 / Waitlisted: 0
Lecture (LEC)
- TOPIC: Software Engineering for Information Systems I
- Intended for students who took CSCI-P 465 previously
- Above class meets with CSCI-P 465 and CSCI-P 565.
Topic: Software eng for infor sys i
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 14631 | Open | 5:30 p.m.–6:45 p.m. | MW | BH 003 | Seiffert K |
Regular Academic Session / In Person
LEC 14631: Total Seats: 5 / Available: 5 / Waitlisted: 0
Lecture (LEC)
- TOPIC:Software Engineering for Information Systems I
- The above course is intended for students who took CSCI-P 465 previously
- Above class meets with CSCI-P 465 and CSCI-P 565
Topic: Software eng for infor sys i
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 14632 | Open | 2:20 p.m.–3:35 p.m. | TR | LU 1001 | Bahramian H |
Regular Academic Session / In Person
LEC 14632: Total Seats: 11 / Available: 11 / Waitlisted: 0
Lecture (LEC)
- TOPIC: SOFTWARE ENGINEERING FOR INFORMATION SYSTEMS II
- Above class intended for students who took CSCI-P 466 in Spring 2024
- Above class meets with CSCI-P 566 and CSCI-P 466
Topic: Software eng for infor sys ii
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 33816 | Open | 9:35 a.m.–10:50 a.m. | MW | GA 1134 | Le T |
Regular Academic Session / In Person
LEC 33816: Total Seats: 60 / Available: 12 / Waitlisted: 0
Lecture (LEC)
- TOPIC: Generative AI and Applications
Topic: Generative ai and applications
Generative AI is reshaping how computers create text, images, code, and more. This course introduces the basics of modern AI models, including Large Language Models (LLMs), Stable Diffusion, and GitHub Copilot. You'll learn key concepts like neural networks, transformers, and transfer learning while focusing on applying those concepts to build practical applications using open-source tools and frameworks. Through hands-on projects, you will work with manual and automated prompt engineering, customize AI models, and build applications such as chatbots, search-enhanced systems, and image generators. The course also discusses important topics like hallucination, security, ethical use, and safeguarding against misuses like deepfakes, bias, and privacy risks.