Back close
Admissions

Course Detail

Course Name Intelligent Systems Design
Course Code 25ES651
Program M. Tech. in Embedded Systems
Credits 3
Campus Bengaluru, Coimbatore

Syllabus

Syllabus

Intelligent Systems Definition, Need and role of embedded engineers. Architectures of intelligent systems Automation, sensors, artificial intelligence techniques, actuators. Intelligent agents definition, applications of intelligent agents in science, technology, business and commercial. Supporting technologies – Data mining, knowledge management, control and automation. Types of systems Expert Systems, Recommendation Systems, Cognitive Systems, Swarm intelligent systems, Hybrid computing systems. Behaviour Oriented Design (BOD) Definition, Extension to object-oriented design, process of specifying agency,specifying the agent’s priorities using POSH dynamic plans.

Text Books / References
  1. Karray F, Karray FO, De Silva CW, “Soft computing and intelligent systems design: theory, tools, and applications”,Pearson Education; 2009.
  2. Larry Bielawski, Robert Lewand, “Intelligent Systems Design: Integrating Expert Systems, Hypermedia, and Database Technologies”, First Edition, Wiley Professional Computing.
  3. Alexander M. Meystel, James S. Albus, “Intelligent Systems: Architecture, Design, and Control”, First Edition, Wiley – Interscience Publication, 2002.
  4. Anindita Das, “Artificial Intelligence and Soft Computing for Beginners”, 2nd Edition, Arizona Business Alliance, 2014.

Objectives and Outcomes

Pre-requisite: Nil

Course Objectives:

  • To introduce the architectures of intelligent systems, including sensors, actuators, and AI techniques.
  • To provide an understanding of intelligent agents and supporting technologies like data mining, knowledge management, and automation.
  • To explore various intelligent system types and Behaviour-Oriented Design (BOD) principles for developing agent-based intelligent solutions.

Course Outcomes:

CO1: Understand the need and scope of intelligent systems and the role of embedded engineers in the design of such systems. 
CO2: Familiarize the components of intelligent systems especially intelligent agents and its applications. 
CO3: Analyse the various types of intelligent systems. 
CO4: Understand Behaviour Oriented Design and process of defining agents. 

CO-PO Mapping:

PO/PSO PO1 PO2 PO3 PSO1 PSO2
CO
CO1 2  1  3  2  3 
CO2 2  1  3  2  3 
CO3 3  2  3  3  3 
CO4 3  2  3  3  3 

 

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now