|Automation and Control||Hours: 3 0 3|
Architecture of industrial automation systems, Symbolic description of process behaviour, Measurement and instrumentation, Signal conditioning and data acquisition, Pattern classification and clustering, in process monitoring and sensor fusion, Theory and techniques of high-level control, Strategies and decisions at symbolic level, 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|
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