ANTALYA BİLİM
UNIVERSITY
Course Information Package
| Code | Description |
|---|---|
| LO1 | Describe how artificial intelligence (AI) is defined within the context of computer science |
| LO2 | Describe AI techniques including search techniques and heuristics, knowledge representation, automated planning, reinforcement learning and statistical learning. |
| LO3 | Formalize a given problem in the language of different AI methods such as a search problem, a constraint satisfaction problem, a planning problem or a learning problem. |
| LO4 | Design and implement artificial intelligence solution techniques to a wide range of problems that range from policy search to classification. |
| LO5 | Perform an empirical evaluation of different algorithms on AI problems |
| Week | Content |
|---|---|
| 1 | The meaning of Artificial Intelligence, Intelligent Agents |
| 2 | Search Techniques (Breadth-First, Depth-First) |
| 3 | Search Techniques (Depth-Limited, Iterative Deepening, Uniform-Cost etc.) |
| 4 | Search Techniques (Greedy-Best-First, A* search, heuristics) |
| 5 | Constraint Satisfaction Problems |
| 6 | Constraint Satisfaction Problems |
| 7 | Adversarial Search |
| 8 | Propositional Logic, First-Order Logic |
| 9 | Uncertainty and Utilities |
| 10 | Markov Decision Processes (Value Iteration, Policy Iteration) |
| 11 | Markov Decision Processes (Value Iteration, Policy Iteration) |
| 12 | Reinforcement Learning, Q-learning, Policy Search |
| 13 | Reinforcement Learning, Q-learning, Policy Search |
| 14 | Probability Theory, Naïve Bayes |
| Activity | Count | Duration (Hours) | Total |
|---|---|---|---|
| Attendance | 15 | 3.00 | 45.00 |
| Practice | 10 | 3.00 | 30.00 |
| Post-Prectice Individual Study | 15 | 2.00 | 30.00 |
| Midterm Exam/Preparation | 1 | 15.00 | 15.00 |
| Final Exam/Preparation | 1 | 20.00 | 20.00 |
| Research Presentation | 1 | 10.00 | 10.00 |
| Total Workload (Hours) | 150 | ||
| ECTS Credit (Workload / 25) | 5 | ||
| # | Assessment Type | Contribution (%) |
|---|---|---|
| 1 | Final Exam | %100 |
| PO \ LO |
LO1
|
LO2
|
LO3
|
LO4
|
LO5
|
|---|---|---|---|---|---|
| PO-1 | |||||
| PO-2 | |||||
| PO-3 | |||||
| PO-4 | |||||
| PO-5 | |||||
| PO-6 | |||||
| PO-7 | |||||
| PO-8 | |||||
| PO-9 | |||||
| PO-10 | |||||
| PO-11 |
| # | Method Name | Description | Tools |
|---|---|---|---|
| 1 | Lecture (expository teaching), interactive discussion | Listening and taking notes. | Standard classroom technologies, multimedia tools (projector, computer, digital presentations) |
| 2 | Controversial Course | Listening and comprehension, critical thinking | Standard classroom technologies, multimedia tools, projector, computer, overhead projector |
| 3 | Problem Solving | * Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions. | |
| 4 | Simulation | Exploring the operation of physical circuit designs through the use of simulation software. | Simulation tools |
