| Subject
Objectives A student completing 6.034 will be able to: |
|
| Objective | |
| 1) | Explain the basic knowledge representation, problem solving, and learning methods of Artificial Intelligence |
| 2) | Assess the applicability, strengths, and weaknesses of the basic knowledge representation, problem solving, and learning methods in solving particular particular engineering problems |
| 3) | Develop intelligent systems by assembling solutions to concrete computational problems |
| 4) | Understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering |
| And many 6.034 students will, as measured by exit survey: | |
| 5) | Develop an interest in the field sufficient to take more advanced subjects |
| Desired Subject Outcomes A student completing 6.034 will be able to: |
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| Outcome | How Measured | Related Objective | |
| 1) | Predict the behavior of backward-chaining rule-based systems | H, Q | 1, 2 |
| 2) | Predict the behavior and estimate the cost in time and space of various heuristic and optimal search methods (depth-first, breadth-first, best-first, uniform-cost, and A*), and choose the appropriate method for particular problems | H, Q | 1, 2 |
| 3) | Predict the behavior of various constraint-satisfaction methods (backtracking, forward-checking, constraint propagation), and choose the appropriate method for particular problems | H, Q | 1, 2 |
| 4) | Develop small logic-based, rule-based and search-based systems, predict performance characteristics, and describe the role of rule-chaining and search in intelligent-system engineering | H, | 3, 4 |
| 5) | Use rules and logic to represent behavioral, classification, and causal knowledge | H, Q | 1, 2 |
| 6) | Apply basic machine learning methods such as nearest neighbors, identification trees, and neural nets | H, Q | 1, 2 |
| 7) | Predict the behavior of the basic machine-learning methods, and choose the appropriate method for particular problems | H, Q | 1, 2 |
| 8) | Modify and extend simple implementations of the subject's representations and methods | H,Q | 3, 4 |
| 9) | Develop small learning systems, predict performance characteristics, and describe the role of learning in intelligent-system engineering | H | 3, 4 |
| 10) | Discuss key issues in knowledge representation, problem solving, and learning | H | 1, 2, 3, 4, 5, 6 |
| Key: | |
| H | Homework |
| Q | Quizes, Final |
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