SU
Introduction to Artificial Intelligence
SU SUCOSC3112 Introduction to Artificial Intelligence
Enrollment in this course is by invitation only
Introduction to Artificial Intelligence
Master methodologies, tools, and ethical implications of AI through theory and hands-on practice
Course Purpose
This course provides comprehensive understanding of AI methodologies, techniques, and tools through:
- Theoretical foundations
- Practical Python implementations
- Laboratory exercises and projects
- Ethical considerations
Key Learning Pillars
Methodologies
Heuristic search, neural networks, and deep learning frameworks
Python Programming
Hands-on labs and projects using AI libraries
TensorFlow | PyTorch | Scikit-learnPractical Labs
Expert system tools and real-world applications
Ethics & Society
Responsible AI development principles
Course Outcomes
- ✅ Implement AI solutions using Python
- ✅ Design and evaluate heuristic search algorithms
- ✅ Build and train neural network models
- ✅ Analyze ethical implications of AI systems
- ✅ Develop complete AI projects from concept to deployment
Ready to Start Your AI Journey?
This course combines theory 🧠, code 💻, and ethics ⚖️ to prepare you for real-world AI challenges.