This page contains Syllabus of Cognitive Science of CSIT.

Title Cognitive Science
Short Name
Course code CSC374
Nature of course Theory + Lab
Semester sixth-semester
Full marks 60 + 20 + 20
Pass marks 24 + 8 + 8
Credit Hrs 3
Elective/Compulsary Elective

Course Description

Course Description:

This course covers the fundamental concepts of cognitive science and brain computation.

Course Objectives:

The main objective of this course is to provide basic knowledge of web cognition process,

mind theory, physical symbol systems, cognitive systems, concepts of brain mappings and

neural network structures.

Units and Unit Content

1. Introduction
teaching hours: 7 hrs

Cognition Process, Cognitive Psychology, Cognitive Science; Foundations of Cognitive Science, Cognitive Science and Multi-disciplinary; Machines and Minds; Laws thoughts to binary logic; Classical Cognitive Science; Connectionist Cognitive Science; Mind body Problem; Turing Response to Mind Body Problem; Pinker, Penerose and Searle‟s Responses to Mind Body Problem; Representational Theory of Mind; Theories of Mental Representation: Minimal Analysis of mental representation, Resemblance theories of mental representation, Casual covariation theories of mental representation, internal roles theories of mental representation

2. Precursors of Cognitive Science
teaching hours: 5 hrs

Behaviorism; Theory of Computation and Algorithms; Algorithms and Turing Machines; Marr‟s Three Level of Computation; Linguistics and Formal Language; Information Processing Models in Psychology

3. Psycological Perspective of Cognition
teaching hours: 5 hrs

Cognitive Models of Memory, Atkinson-Shiffrin‟s Model, Tulving‟s Model, Mental Imagery, Kosslyn‟s View, Moyer‟s View, Peterson‟s View, Cognitive Maps, Problem Understanding, States of Cognition, Cognition in AI

4. Physical Symbol System and Language of Thought
teaching hours: 7 hrs

Physical Symbol System Hypothesis; Symbol and Symbol Systems; Problem Solving by Symbol Structure; Physical Symbol System to Language of Thoughts; The Computer Model of the Mind; Syntax and the Language of Thought: Fodor‟s Argument for the Language of Thought Hypothesis; The Chinese Room Argument; Chinese Room and Turing Test; The Symbol Ground Problem

5. Cognitive System
teaching hours: 4 hrs

Cognitive System; Architecture for intelligent agents; Modularity of Mind; Modularity Hypothesis; The ACT-R/PM architecture

6. Brain Mapping
teaching hours: 6 hrs

Structure and Function in Brain; Anatomical Connectivity; Cognitive Functioning Techniques from Neuroscience; Mapping the brain‟s electrical activity: EEG and MEG; Mapping the brain‟s blood flow and blood oxygen levels: PET and fMRI; Attention; Visuospatial attention

7. Mind Reading
teaching hours: 5 hrs

Metarepresentation; Metarepresentation, autism, and theory of mind; Mind Reading System; Understanding False Belief; Mind Reading as Simulation

8. Neural Networks and Distributed Information Processing
teaching hours: 6 hrs

Neurally Inspired Models of Information Processing; Single-Layer Networks and Boolean Functions; Multilayer Networks; Information Processing in Neural Networks; Language Learning in Neural Networks; Neural Network Models of Children‟s Physical Reasoning

Lab and Practical works

Laboratory Works:

The laboratory work includes implementing and simulating the concepts of cognition process,

intelligent agents, neural networks. In addition, laboratory work can be extended to use the

tools like PSY Toolkit, PsyNeuLink etc.