[MU] Computer Engineering Semester-VII

Module1: Introduction to Artificial Intelligence(AI) and Soft Computing

(Priority 1):

     1. Learning Agent with Solved Example
     2. Soft Computing and its Types [ Hard vs Soft Computing ]

(Priority 2):

     3. Agent and Types of agent [with Diagram ]
     4. Environment and Types of Environment
     5. Peas Description

Module 2: Problem Solving

(Priority 1):

    1. Genetic Algorithm [ Chromosome , Mutation , Crossover ]
    2. Heuristic Function [ Block world & 8 Puzzle ]
    3. Sums [ GBFS and A* Algorithm ] [A* Admissible ]
    4. Alpha Beta Pruning

(Priority 2):

     5. Hill Climbing [Problem and its solution i.e : simulated Annealing ]
     6. Informed Search [ BFS , DFS , DLS ]

Module 3: Knowledge , Reasoning and Planning

(Priority 1):

     1. Bayesian Belief Network & Uncertainty [ Sums of Gauge and Cancer ]
    2. Partial Order Planning with Example
    3. Convert Sentence in PL and FOL
    4. Explain in detail Sliding Window (Go-Back)
    5. Resolution Sum [ All Happy People Smile , West is Criminal ]

(Priority 2):

     4. Forward and Backward Chaining

Module 4: Fuzzy Logic

(Priority 1):

     1. What is Membership function and Types of Membership Function [with Diagram ]
     2. Defuzzification and its Method

(Priority 2):

     3. What is Fuzzy Logic and Why do we need it ?
     4. Problem Based on Lambda Cut and Strong Lambda Cut
     5. Max min and Max Product Sum

Module 5: Artificial Neural Network

(Priority 1):

     1. Explain different Types of Learning with Example [Supervised , Unsupervised ,Reinforcement ] + Difference Between them
     2. Explain Back Propagation Algorithm with Example. and Problem based on Back Propagation Network
     3. Shorts Note on : - - SQMs & KSOMs

(Priority 2):

    4. ANN and its Characteristics and Structure of ANN
    5. Explain Feed-Forward Networks [ Single Layer and Multi Layer ].
    6. Short Note on McCulloch-Pitts Neuron Model
    7. Shorts Note on : -
     a. LVQ
     b. Winner Takers All

Module 6: Expert System

(Priority 1):

     1. Expert System with Diagram

(Priority 2):

     2. ANFIS
     3. Neuro Fuzzy Hybrid System