People Innovation Excellence


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.


  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.

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