None
Course Number:
CSCI 4452
Approved Starting Semester:
Fall 2025
Course Title:
Generative A.I.
Course Description (Bulletin Description):
This course explores cutting-edge artificial intelligence methods for generating new content, such as images, text, and music. With a blend of practical projects and theoretical discussions, students develop skills in creating and deploying generative AI systems, preparing them for roles in AI research and creative sectors.
Prerequisite:
CSCI-2010 with a grade of “C” or higher.
Co-requisite:
None
Pre/Co-requisite::
None
Dual-Listed:
None
Course Objectives (Course-level Student Learning Outcomes):
At the completion of the course, the student will be able to:
Topics Covered (In Outline/Calendar):
1. Introduction to Generative Models 2. Overview of Autoencoders and their Applications 3. Understanding Generative Adversarial Networks (GANs) 4. Exploring Variational Autoencoders (VAEs) for Image Generation 5. Image-to-Image Translation Techniques 6. Text Generation using Recurrent Neural Networks (RNNs) 7. Music Generation with Neural Networks 8. Style Transfer and Neural Art 9. Introduction to Creative AI 10. Applications of Generative AI in Entertainment and Media 11. Designing Interactive Art with Generative Models 12. Generative AI in Virtual Reality (VR) and Augmented Reality (AR) 13. Ethical Considerations in Generative AI 14. Hands-on Projects with Pre-trained Models 15. Future Directions and Trends in Generative AI
Student Learning Outcomes:
- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (SLO1)
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. (SLO2)
- Apply computer science theory and software development fundamentals to produce computing-based solutions. (SLO6-CS)
Course Coordinator:
Dr. Saeid SamadiDana
Instructor-in-charge:
Dr. Saeid SamadiDana
Previous Professors:
Dr. Saeid SamadiDana
Technologies / Skills:
Artificial Intelligence, Generative Artificial Intelligence
Textbook(s):
Summer/Spring 2026
Title: To be decided!
Edition: To be decided!
Authors: To be decided!
Publisher: To be decided!
ISBN: To be decided!
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