INTRODUCTION TO ARTIFICIAL INTELLIGENCE (2/2 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – Describe human intelligence concepts and Artificial Intelligence fundamentals; LO2 – explain five core AI technologies which are the building blocks for different kinds of AI applications; LO3 – explain major contemporary AI applications and AI future development; LO4 – apply AI technologies to make an AI solution based on real world problem.

Topics:

1. Fundamentals of AI and Human Intelligence;
2. Machine Learning;
3. Data Mining;
4. Computer Vision;
5. Natural Language Processing;
6. Ontological-Based Search Engine;
7. Intelligent Agents and Software Robots;
8. Intelligent Transportation;
9. Smart Health;
10. Smart Education;
11. Smart City;
12. Introduction to Python;
13. Python Selection and Repetition;
14. Python Function;
15. Python Data Structure;
16. Review I;
17. Quiz 1;
18. Introduction to Natural Language Processing and NLTK Toolkit I;
19. NLTK Toolkit II;
20. Word Similarity;
21. Text Classification;
22. Review II;
23. Project;
24. AI and Self-consciousness;
25. AI Ethics, Security, Privacy and Cutting-edge-related Technologies.