AI Syllabus Mumbai University

My sister wants to download the SEM VII syllabus AI of Mumbai University. So will you please tell me from where I can download the SEM VII syllabus AI of Mumbai University? Also give me the last year question paper of this course so that I can prepare for my exam very well and can get good marks in the final examination?

Hii sir, I Wants to get the Syllabus of the Artificial Intelligence of the BE Computer Science of the Mumbai University ?

[pawan]

The University of Mumbai, informally known as Mumbai University, is one of the earliest state universities in India and the oldest in Maharashtra.

The Syllabus of the Artificial Intelligence of the BE Computer Science of the Mumbai University is given below

Artificial Intelligence

. Artificial Intelligence: Introduction to AI, History of AI, Emergence Of Intelligent
Agents

2. Intelligent Agents: PEAS Representation for an Agent, Agent Environments,
Concept of Rational Agent, Structure of Intelligent agents, Types of Agents.

3. Problem Solving: Solving problems by searching, Problem Formulation, Uninformed
Search Techniques- DFS, BFS, Iterative Deepening, Comparing Different
Techniques, Informed search methods heuristic Functions, Hill Climbing,
Simulated Annealing, A*, Performance Evaluation.

4. Constrained Satisfaction Problems: Constraint Satisfaction Problems like, map
Coloring, Crypt Arithmetic, Backtracking for CSP, Local Search.

5. Adversarial Search: Games, Minimax Algorithm, Alpha Beta pruning.

6. Knowledge and Reasoning: A knowledge Based Agent, Introduction To Logic,
Propositional Logic, Reasoning in Propositional logic, First Order Logic: Syntax and
Semantics, Extensions and Notational Variation, Inference in First Order Logic,
Unification, Forward and backward chaining, Resolution.

7. Knowledge Engineering: Ontology, Categories and Objects, Mental Events and
Objects.

8. Planning: Planning problem, Planning with State Space Search, Partial Order
Planning, Hierarchical Planning, Conditional Planning.

9. Uncertain Knowledge and Reasoning: Uncertainty, Representing knowledge in an
Uncertain Domain, Overview of Probability Concepts, Belief Networks, Simple
Inference in Belief Networks

10. Learning: Learning from Observations, General Model of Learning Agents,
Inductive learning, learning Decision Trees, Introduction to neural networks,
Perceptrons, Multilayer feed forward network, Application of ANN, Reinforcement
learning: Passive & Active Reinforcement learning.

11. Agent Communication: Communication as action, Types of communicating agents,A formal grammar for a subset of English


For more Information you may Contact to the Mumbai University the Contact details are given below

Contact details
Mumbai University
Address: Kolivery Village, University of Mumbai,Vidya Nagari, Kalina, Santacruz East, Mumbai, Maharashtra 400098
Phone: 022 2654 3000