| Automation and Control | Hours: 3 0 3 |
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Theory and techniques of high-level control, strategies and decisions at symbolic level, Symbolic description of process behavior. Pattern classification and clustering, in process monitoring and sensor fusion, Supervised and unsupervised learning, Neural networks, Rule-based control, Fuzzy control, Case studies on robots, vehicles, and various physical plants, Emphasis on the bridge between physical and symbolic domains.
| Pre-requisites: None | Co-requisites: None |
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
