IT

CCS337: Cognitive Science syllabus for IT 2021 regulation (Professional Elective-VII)

Cognitive Science detailed syllabus for Information Technology (IT) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the IT 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 Information Technology 6th Sem scheme and its subjects, do visit IT 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to IT Professional Elective-VII syllabus scheme. The detailed syllabus of cognitive science is as follows.

Cognitive Science

Course Objectives:

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Unit I

PHILOSOPHY, PSYCHOLOGY AND NEUROSCIENCE 6 Philosophy: Mental-physical Relation – From Materialism to Mental Science – Logic and the Sciences of the Mind – Psychology: Place of Psychology within Cognitive Science – Science of Information Processing -Cognitive Neuroscience – Perception – Decision – Learning and Memory – Language Understanding and Processing.

Unit II

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Unit III

PROBABILISTIC PROGRAMMING LANGUAGE 6 WebPPL Language – Syntax – Using Javascript Libraries – Manipulating probability types and distributions – Finding Inference – Exploring random computation – Coroutines: Functions that receive continuations -Enumeration

Unit IV

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Unit V

LEARNING MODELS OF COGNITION 6 Learning as Conditional Inference – Learning with a Language of Thought – Hierarchical Models-Learning (Deep) Continuous Functions – Mixture Models.

Practical Exercises

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

Course Outcomes:

At the end of this course, the students will be able to:

  1. Understand the underlying theory behind cognition.
  2. Connect to the cognition elements computationally.
  3. Implement mathematical functions through WebPPL.
  4. Develop applications using cognitive inference model.
  5. Develop applications using cognitive learning model.

Text Books:

  1. Vijay V Raghavan,Venkat N.Gudivada, VenuGovindaraju, C.R. Rao, Cognitive Computing: Theory and Applications: (Handbook of Statistics 35), Elsevier publications, 2016
  2. Judith Hurwitz, Marcia Kaufman, Adrian Bowles, Cognitive Computing and Big Data Analytics, Wiley Publications, 2015
  3. Robert A. Wilson, Frank C. Keil, The MIT Encyclopedia of the Cognitive Sciences,The MIT Press, 1999.
  4. Jose Luis Bermudez, Cognitive Science -An Introduction to the Science of the Mind, Cambridge University Press 2020

Reference Books:

Download the iStudy App for all syllabus and other updates.
Get it on Google Play

For detailed syllabus of all the other subjects of Information Technology 6th Sem, visit IT 6th Sem subject syllabuses for 2021 regulation.

For all Information Technology results, visit Anna University IT all semester results direct link.

Leave a Reply

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

*