7th Sem, GEO

GI5701: Decision Support System for Resource Management Syllabus for Geoinformatics 7th Sem 2019 Regulation Anna University

Decision Support System for Resource Management detailed syllabus for Geoinformatics Engineering (Geoinformatics) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Geoinformatics 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 Geoinformatics Engineering 7th Sem scheme and its subjects, do visit Geoinformatics 7th Sem 2019 regulation scheme. The detailed syllabus of decision support system for resource management is as follows.

Decision Support System for Resource Management

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit I

Structure of Expert Systems
Definition – Features, needs, components – characteristics – players – Structure and phases of building ES – Human vs Artificial Expertise, Conventional programming vs Expert system-Types -Rule based, Frame based and Hybrid – Activities – Design, Planning, monitoring, Controlling-Expert system – examples in geomatics.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit III

Inexact Reasoning
Bayesian theory, examples – Certainty theory: overview, uncertain evidence, rule inferencing -certainty factors – Fuzzy sets – Representation, hedges inference and fuzzy logic – Classification of RS data using Fuzzy logic.

Unit IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit V

Network and Inventory Models
Shortest route – minimal spanning tree – maximum flow models – project network- CPM and PERT network-critical path scheduling – Types of Inventory- The classical EOQ model -Deterministic inventory problems – Price breaks – Stochastic inventory problems- selective inventory control techniques

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. Peter Jackson, “Introduction to Expert systems |, Pearson Education, 1999.
  2. Turban E., “Expert Systems and Applied Artificial Intelligence!, Macmillan, 2004.”

References:

  1. Donald A.Waterman., “A Guide to Expert systems |, Pearson Education, 2001.
  2. Durkin.J., “Expert Systems Design and Development^, Prentice Hall, 1994
  3. Dan.W.Patterson, “Introduction to Artificial Intelligence and Expert systems, Prentice Hall, 2009.
  4. Ermine.J.I, “Expert Systems: Theory and Practice ||, Prentice2004
  5. Ramez Elmasri and Shamkant Navathe, “Fundamentals of Database Systems”,7th Edition Addison Wesley Company,2015

For detailed syllabus of all other subjects of Geoinformatics Engineering, 2019 regulation curriculum do visit Geoinformatics 7th Sem subject syllabuses for 2019 regulation.

For all Geoinformatics Engineering results, visit Anna University Geoinformatics all semester results direct link.

Leave a Reply

Your email address will not be published. Required fields are marked *

*