last modified:
This concerns a Course |
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ECTS credit points:
3 |
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Faculty of 3mE |
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Section of Man-Machine Systems |
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Lecturer(s): Prof.dr. T. Tomiyama |
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Course year: |
MSc 1st year |
Course language: |
English |
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In case of Dutch:
Please
contact the lecturer about an English alternative, whenever needed. |
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Semester: |
2A |
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Hours per week: |
4 |
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Other hours: |
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Assessment: |
Written exam |
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Assessment period: |
2A |
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(see academic
calendar) |
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Prerequisites (course codes):
Engineering Informatics (Wb5430-05), not a must but
recommended |
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Follow up (course codes): |
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Detailed description of topics:
This course firstly gives an introduction to
computational aspects of intelligent systems, in particular, artifical
intelligence, logic, and knowledge based systems. These techniques form
symbolic computing techniques for advanced reasoning and embedded
intelligence. Secondly, the course discusses some soft computing techniques
that have been hinted or inpired by biological phenomena or other physical
phenomena, such as fuzzy logic, genetic algorithm, simulated annealing, and
artificial neural networks. Thirdly, the course illustrates some techniques
for intelligent systems to deal with real world applications.
The course will not only describe theoretical
apsects but also depict applications of these technique to intelligent
systems and engineering.
Topics
1. Fundamental Theories and
Techniques
1.1. Artificial Intelliigence,
Pattern Recognition, and Robotics
1.2. Logic
1.3. Knowledge Representation
1.4. Fundamental Reasoning
Techniques
1.5. Knowledge Based Systems
2. Soft Computing and Bio-Inspired
Computing
2.1. Fuzzy Logic
2.2. Genetic Algorithm
2.3. Simulated Annealing
2.4. Artificial Neural Networks
3. Intelligent Systems
3.1. Model-based Reasoning and
Qualitative Physics
3.2. Machine Learning
3.3. Self-Organization and
Emergence |
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Course material:
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References from literature: |
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Remarks assessment, entry requirements, etc.:
Assesment will be based on the final exam and or
final report. |
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Learning goals: The student must be able to:
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Computer use: |
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Laboratory project(s): |
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Design content:
The course helps to understand how to design
"intelligent systems." |
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