This repository contains comprehensive course materials for SE 444: Introduction to Artificial Intelligence at Alfaisal University. The course covers fundamental concepts and techniques in AI, from search algorithms to probabilistic reasoning and game theory.
| Field | Details |
|---|---|
| Instructor | Prof. Anis Koubaa |
| Institution | Alfaisal University, College of Engineering |
| Semester | Fall 2025 |
| Website | aniskoubaa.org/se444 |
introduction_to_ai_course/
โโโ ๐ lectures/ # Lecture slides organized by topic (L00-L13)
โโโ ๐ assessments/ # Exams, quizzes, and assignments
โโโ ๐ projects/ # Course projects (RoboMind)
โโโ ๐ administration/ # Syllabus and course policies
โโโ ๐ resources/ # Additional learning resources
โโโ ๐ moodle_xml/ # Moodle-compatible question banks
โโโ ๐ README.md # This file
| # | Topic | ๐ Slides | ๐ฎ Interactive Demo |
|---|---|---|---|
| L00 | Course Overview | โ | |
| L01 | Introduction to AI | โ | |
| L02 | Intelligent Agents | โ | |
| L03 | Search Algorithms | ๐ Demo | |
| L04 | Local Search | ๐ Demo | |
| L05 | Adversarial Search | ๐ Demo | |
| L06 | Constraint Satisfaction | ๐ Demo | |
| L07 | Propositional Logic | Slides (5 parts) | ๐ Demo |
| L09 | Planning | Slides (2 parts) | ๐ Demo |
| L10 | Uncertainty | Slides (2 parts) | ๐ Demo |
| L11 | Bayesian Networks | Slides (3 parts) | ๐ Demo |
| L12 | Markov Decision Processes | Slides (2 parts) | ๐ Demo |
| L13 | Game Theory | Slides (2 parts) | ๐ Demo |
| Exam | Materials | Topics |
|---|---|---|
| Final Exam | Questions ยท Solutions ยท Answer Key ยท Formula Sheet | L00-L13 Comprehensive |
| Midterm 2 | Questions ยท Solutions ยท Answer Key | L07-L11: Logic, Planning |
| Mock Final | Questions ยท Solutions | Practice Exam |
| Quiz | Materials | Topics |
|---|---|---|
| Quiz 3 | Questions ยท Solutions | Bayesian Inference |
| Exam | Materials |
|---|---|
| Midterm 1 Makeup | Questions ยท Solutions |
| Midterm 2 Makeup | Questions ยท Solutions |
| Component | Weight |
|---|---|
| Midterm 1 | 15% |
| Midterm 2 | 15% |
| Final Exam | 30% |
| Quizzes (3) | 15% |
| Project | 15% |
| Assignments | 10% |
| Document | Description |
|---|---|
| ๐ Course Outline | Overview, topics, learning outcomes |
| ๐ Syllabus PDF | Official course syllabus |
| ๐ Weekly Schedule | Detailed weekly schedule |
| ๐ Grading Policy | Assessment breakdown |
| ๐ Course Policies | Attendance, integrity, submissions |
By the end of this course, students will be able to:
- Understand fundamental AI concepts and agent architectures
- Implement various search algorithms for problem-solving
- Apply constraint satisfaction and logical reasoning techniques
- Design AI systems using probabilistic models
- Analyze multi-agent systems and game-theoretic scenarios
An intelligent agent simulation environment where students implement AI algorithms.
๐ Project Details | ๐ Project Overview
Objectives:
- Implement search algorithms (BFS, DFS, A*)
- Apply logic-based decision making
- Use probabilistic reasoning
- Create hybrid intelligent agents
- Programming: Python fundamentals
- Mathematics: Probability, Linear Algebra, Discrete Mathematics
- Algorithms: Basic algorithm design and analysis
Artificial Intelligence: A Modern Approach (4th Edition)
Stuart Russell & Peter Norvig
Pearson, 2020
| Resource | Link |
|---|---|
| ๏ฟฝ Lectures | Browse All |
| ๐ Assessments | Browse All |
| ๐ฎ Interactive Demos | aniskoubaa.org/se444 |
| ๐ค Projects | Browse All |
| ๐ Syllabus | View |
| ๐ง Moodle | Alfaisal E-Learning |
This course material is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
- Share โ copy and redistribute the material in any medium or format
- Adapt โ remix, transform, and build upon the material
- Attribution โ You must give appropriate credit to Prof. Anis Koubaa and Alfaisal University
- NonCommercial โ Commercial use is NOT allowed. You may not use the material for commercial purposes.
- No selling or monetizing this content
- No use in paid courses or commercial training
- No inclusion in commercial products or services
For any commercial use inquiries, please contact: akoubaa@alfaisal.edu
Prof. Anis Koubaa
๐ง Email: akoubaa@alfaisal.edu
๐ Website: aniskoubaa.org
๐ข Office: Engineering Building, SG-10
Last Updated: January 2026