B.E. Electronics(Instrumentation Control):Artificial Intelligence Techniques and Applications
Bachelor
In Patiala
Description
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Type
Bachelor
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Location
Patiala
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Duration
4 Years
Facilities
Location
Start date
Start date
Reviews
Course programme
First Year: Semester I
Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skills
First year: Semester II
Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior
Second year: Semester I
Electromagnetic Fields
Human Values, Ethics and IPR
Semiconductor Devices
Measurement Science and Techniques
Circuit Theory
Digital Electronic Circuits
Electrical Machines
Second year: Semester II
Fluid Mechanics
Computer System Architecture
Optimization Techniques
Analog Electronic Circuits
Numerical and Statistical Methods
Electrical and Electronic Measurements
Environmental Studies
Third year: Semester I
Elements and Analysis of Instrumentation System
Analytical Instrumentation
Signals and Systems
Power Electronics
Microprocessors
Biomedical instrumentation
Summer Training
Third year: Semester II
Data Acquisition Systems
Industrial Measurements
Process Dynamics and Control
Control Systems
Total Quality Management
Fourth year: Semester I
Advance Process Control
Virtual Instrumentation
Instrumentation System Design
Engineering Economics
Microelectronics and ICs
Fourth year: Semester II
Project Semester
Project
Industrial Training(6 weeks)
Artificial Intelligence Techniques and Application
Overview of Artificial Intelligence: The concept and importance of AI, fields related to AI human intelligence vs machine intelligence
Knowledge and general Concepts: General concept of knowledge, Acquisition, Knowledge Representation and organization: Prepositional and Predicate Logic, Theorem Proving, Structured Knowledge representation using Semantic Networks, Frames, Scripts,, Conceptual Graphs, Conceptual Dependencies, Knowledge Manipulation: Search space control, Uninformed search, Depth first search, Breadth first search, Depth first search with iterative deepening, Heuristic Search :Minimax Search procedure
Expert Systems: Expert systems: advantages, disadvantages, Expert system architecture, functions of various parts, Mechanism and role of inference engine, Types of Expert system, Tuning of expert systems, Role of Expert systems in instrumentation and process control
Overview of AI languages
Artificial Neural Networks: History of neural networks, Structure and function of a single neuron, biological neurons, artificial neuron models, Types of activation functions, Neural network architectures: Fully connected, layered, acyclic, feed forward, Neural learning : correlation, competitive, evaluation of networks; Supervised learning: Back propagation algorithm, Unsupervised learning, winner-take all networks, adaptive resonance theory, Application areas of neural networks : classification, clustering, pattern associations, function approximation, forecasting.
Fuzzy Logic: Fuzziness vs probability, Crisp logic vs fuzzy logic, Fuzzy sets and systems, operations on sets, fuzzy relations, membership functions, fuzzy rule generation, de fuzzification, Applications of Fuzzy Logic in process Control and motion control
Genetic Algorithms: introduction and concept, coding, reproduction, cross-over and mutation Scaling, fitness, applications.
B.E. Electronics(Instrumentation Control):Artificial Intelligence Techniques and Applications