Artificial Intelligence-1-2021
AI course (CS-324P) for 3rd year students, Computer Science Department, Faculty of Computers and Information,Mansoura University, Egypt.
Day |
Lecture Objectives |
Lecture Materials |
1 |
- Course Outlines.
- Course Projects Requirements.
- Why AI?.
- History of AI.
- Turing Test.
- AI vs. ML vs. DL.
- Agent/Rational Agent.
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2 |
- Intelligent Agents.
- Agent design.
- Environment Properties.
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3 |
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4 |
- Problem formulation.
- Search strategies.
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5 |
- Un-informed Search strategies.
- Breadth-first search.
- Uniform-cost search.
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6 |
- Uniform-cost search.
- Depth-first search.
- Depth-limited search.
- Iterative deepening search.
- Bidirectional search.
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7 |
- Informed Search Strategies.
- Heuristics.
- Best first search Algorithms.
- Greedy Search.
- A* Search.
- Optimality of A* Search Algorithm.
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8 |
- Local search Algorithms.
- Hill climbing local search.
- Genetic Algorithm.
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9 |
- Constraint Satisfaction Problems.
- Backtracking for CSP.
- Improving backtracking efficiency.
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10 |
- Needs for Machine Learning.
- What is Machine Learning.
- Machine Learning Definitions.
- Machine Learning Process.
- Types of Machine Learning.
- Linear Regression.
- Simple Demo.
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