FOUNDATIONS OF ARTIFICIAL INTELLIGENCE (2 Credits)

Learning Outcomes:

Upon successful completion of this course, students are expected to describe what AI is, its applications, use cases, and how it is transforming organizations. They will be able to explain key terms such as machine learning, deep learning, neural networks, natural language processing, computer vision, and speech recognition. Additionally, students will acquire practical skills in using AI tools and platforms for tasks like content creation, assessment, and feedback. They will also evaluate the performance and limitations of AI systems and discuss the ethical, social, and legal implications of AI.

Topics:

1. – Introduction to Data Structure
   – Object-Oriented Programming (OOP)
2. – Primitive Data Type and Reference Variable
3. – Algorithm Efficiency
   – ArrayList
4. – Linked List
   – Java Collections Framework Design
5. – ADT Stacks and Queue
6. – Recursion
7. – Fun Games Application
   – Presentation of Student Project Proposal
8. – Trees
9. – Sets and Maps
10. – Sorting
11. – Self Balancing Search Tree
12. – Graph
13. – Student Project Presentation