Computer Organization-- Input-Output Organization :

This Unit-5  is about :

•  Peripheral Devices

•  Input-Output Interface

• Asynchronous Data Transfer

•  Mode of Transfer

•  Priority Interrupt

•  Direct Memory Access

•  Input-Output Processor

•  Serial Communication

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Computer Organization-- Memory Organization :

This Unit-4  is about :

•  Memory Hierarchy

•  Main Memory

•  Auxiliary Memory

•  Associative Memory

•  Cache Memory

•  Virtual Memory

•  Memory Management Hardware

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Computer Organization-- Pipelining & Vector Processing :

This Unit-3.1  is about :

•  Parallel Processing

•  Pipe lining

• Arithmetic Pipeline

•  Instruction Pipeline

•  RISC Pipeline

•  Vector Processing

•  Array Processors

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Computer Organization--Central Processing Unit :

This Unit-2.2  is about :

•  General Register Organization

•  Stack Organization

• Instruction Formats

•  Addressing Modes

•  Data Transfer and Manipulation

•  Program Control

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Computer Organization--Micro-programmed Control Unit :

This Unit-2.1  is about :

•  Micro-Instruction formats

•  Address sequencer

• Sample Instruction Set

•  Design of Micro-Program

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Computer Organization--Basic Computer Organization and Design :

This Unit-1-2  is about :

•  Instruction formats

•  Common Bus System

•  Instruction Set

•  Hardwired  Control Organization

•  Instruction Cycle

•  Interrupt Cycle

•  Design of Basic Computer 

•  Design of Accumulator Logic 

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Computer Organization--Register Transfer and Micro-Operations:

This Unit-1-1  is about :

• Register Transfer Language

• Register Transfer

• Bus and Memory Transfers

• Arithmetic Micro-operations

• Logic Micro-operations

• Shift Micro-operations

• Arithmetic Logic Shift Unit

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Artificial Intelligence--GAME PLAYING:

This lecture-11 is about :

1.  Introduction

2.  Mini Max Algorithm

3.  Game Trees Example

4.  Alpha-Beta Pruning

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Artificial Intelligence--LEARNING:

This lecture-10 is about :

1.  Learning agents

2.  Inductive learning

3. Decision tree learning

4. Perceptron Learning

5. Back Propagation Learning

6. Genetic Learning

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Artificial Intelligence--PLANNING & SEARCH:

This lecture-9 is about :

1. Forward Planning

2.  Backward Planning

3. Goal Stack Planning

4. Partial Order Planning

5. GraphPLAN

6. Hierarchical planning

7. Conditional Planning

8.  Continuous Planning

9. Multi-Agent Planning

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Artificial Intelligence--Fuzzy Expert Systems:

This lecture-8 is about :

1. Fuzzy sets

2.  Linguistic variables and hedges

3. Operations of fuzzy sets

4. Fuzzy rules

5. Mamdani fuzzy inference

6. Sugeno fuzzy inference

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Artificial Intelligence--Uncertain knowledge and reasoning:

This lecture-7 is about :

1. Probability Theory

2. Bayesian Networks

3. Certainty Factor Theory

4. Dempster-Shaffer Theory of Evidence

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Artificial Intelligence--Weak Slot & Filler Structures

This lecture-6 is about :

1. Representation in Semantic Nets

2. Representation in Frames

3. Inference Techniques-  Examples 

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Artificial Intelligence--Predicate Logic

This lecture-5 is about :

1. Representation in Predicate Logic

2. Rules of Inferences
    (a)  Universal Elimination
    (b)  Existential Elimination
    (c)  Existential Introduction
3. Horn Sentences -Examples    
4. Inference using given set of Hypothesis.

5. Inference using Resolution Technique (based on Proof by Contradiction) -  Example 


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Artificial Intelligence--Propositional Logic:

This lecture-4 is about :

1. Representation in Propositional Logic

2. Logical Connectives

3. Rules of Inferences
    (a)  Modus Ponen Rule
    (b)  Resolution Rule
4. Inference using Hypothesis-  Example    

5. Inference using Resolution Technique (based on Proof by Contradiction) -  Example 

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Click here for  Propositional Logic & Predicate Logic PPTS