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Dec 15, 2025
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ISE 7090 - Intelligent Engineering Systems
The objective is to enable the students to learn methods and techniques of artificial intelligence and enable them to apply these methods in building knowledge-based engineering systems. Students will learn fundamental AI techniques (such as space search and knowledge representation) and study several techniques for building knowledge-based systems in various domains. After successfully completing this course, the students will posses enough theoretical knowledge and programming experience for building intelligent systems in their engineering disciplines.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Apply AI problem solving approach in IE.
- Apply Automated Reasoning algorithms.
- Apply Case-based reasoning.
- Apply Heuristic search algorithms.
- Apply Machine Learning algorithms on small-scale problems.
- Apply State Space blind search algorithms.
- Develop Knowledge representation for engineering domains.
- Develop Rule-based systems.
- Develop domain specific Strong Problem Solving Method.
- Implement AI algorithms in high-level programming language.
- Implement rule-based systems.
- Implement small-scale Expert Systems.
- Understand history and the topic of AI.
- Utilize Predicate calculus approach in reasoning.
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