CEI334: Intelligent Automation syllabus for ICE 2021 regulation (Professional Elective-I)

Intelligent Automation detailed syllabus for Instrumentation & Control Engineering (ICE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ICE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Instrumentation & Control Engineering 5th Sem scheme and its subjects, do visit ICE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to ICE Professional Elective-I syllabus scheme. The detailed syllabus of intelligent automation is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO AUTOMATION
Introduction to Industrial Automation – Automation in Production System- Principles and Strategies of Automation – Basic Elements of an Automated System- Advanced Automation Functions- Levels of Automations- Production Economics – Methods of Evaluating Investment Alternatives- Costs in Manufacturing- Break Even Analysis- Unit cost of production- Cost of Manufacturing Lead time and Work-in-process.

Unit II

INTRODUCTION TO ARTIFICAL INTELLIGENCE
Introduction to Artificial Intelligence -Introduction-Foundations of AI- History of AI- Intelligent agents: Agents and Environment- Reactive agent- deliberative- goal driven- utility driven and learning agents -Artificial Intelligence programming techniques. Introduction to ML and DL Concepts.

Unit III

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Unit IV

EXPERT SYSTEMS
Expert systems -Expert systems – Architecture of expert systems, Roles of expert systems -Knowledge Acquisition – Meta knowledge- Heuristics. Typical expert systems – MYCIN – ART-XOON.

Unit V

AI IN CONTROL SYSTEMS
Industrial AI applications and Case studies – Applications of Industrial AI in Monitoringoptimization and control- AI applications in Industry Automation using -natural language processing-computer vision-speech recognition-computer vision.

Skill Development Activities

(Group Seminar/Mini Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)

1. A seminar on detailed study about existing control methods using AI
2. Designing an AI to recognize face and to authenticate.
3. Train an AI to read alarm codes and take action.

Course Outcomes:

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Text Books:

1. Rich and Knight, “Artificial Intelligence”, 3rd Edition, Tata McGraw Hill, 2014.
2. M.P.Groover, �Automation, Production Systems and Computer Integrated Manufacturing�, 5th edition, Pearson Education, 2009.

Reference Books:

1. Anuradha Srinivasaraghavan, Vincy Joseph �Machine Learning�, Wiley, 2019.
2. Stuart Russell and Peter Norvig, �Artificial Intelligence: A Modern Approach�, 2nd Edition, Prentice Hall, 2003.
3. Rajiv Chopra, �Deep Learning�, 1st edition, Khanna Publishing House,2018.

List of Open-Source Software/ Learning website:

4. https://nptel.ac.in/courses/106102220
5. https://nptel.ac.in/courses/108105063
6. https://aws.amazon.com/free/machine-learning
7. https://www.tensorflow.org/

For detailed syllabus of all the other subjects of Instrumentation & Control Engineering 5th Sem, visit ICE 5th Sem subject syllabuses for 2021 regulation.

For all Instrumentation & Control Engineering results, visit Anna University ICE all semester results direct link.