MCIT -
203 Advance Computer Architecture
UNIT 1
Flynn's and Handler's Classification of
parallel computing structures. Pipelined and
Vector Processors.
UNIT 2
Data and control hazards and method to
resolve them. SIMD multiprocessor structures.
UNIT 3
nterconnection networks. Parallel Algorithms
for array processors, Search algorithms,
MIMD multiprocessor systems,
UNIT 4
Scheduling and load balancing in
multiprocessor systems, Multiprocessing control a
algorithms.
Reference Books:
1. Advance Computer Architecture,
parthsarthy, Cengage (Thomson)
2. Computer Architecture and Organisation- John
Hays, Mc.Graw-Hill.
3. Computer Architecture and Parallel
Processing- Hwang And Briggs, TMH.
MCIT -
204 Soft Computing
INTRODUCTION: production systems, Study and
comparison of breadth first search
and depth first search. Techniques, other
Search Techniques like hill Climbing, Best first
search. A* algorithm, AO* algorithms.
Knowledge Representation, Problems in
representing knowledge, knowledge
representation using prepositional and predicate
logic, Resolution, Refutation, theorem
proving, monotonic and nonmonotonic reasoning.
ARTIFICIAL NEURAL NETWORKS : Basic concepts -
Importance of tolerance of
imprecision and uncertainty. Biological and
artificial neuron, Single layer perception -
Multilayer Perception - Supervised and
Unsupervised learning – Back propagation
networks - Kohnen's self organizing networks
- Hopfield network.
FUZZY SYSTEMS : Introduction, History of the
Development of Fuzzy Logic, Fuzzy
sets and Fuzzy reasoning - Fuzzy matrices -
Fuzzy functions - Decomposition - Fuzzy
automata and languages - Fuzzy control
methods - Fuzzy decision making.
NEURO - FUZZY MODELING : Adaptive networks
based Fuzzy interface systems -
Classification and Regression Trees - Data
clustering algorithms - Rule based structure
identification - Neuro-Fuzzy controls -
Simulated annealing – Evolutionary computation.
GENETIC ALGORITHMS: Survival of the Fittest -
Fitness Computations - Cross over -
Mutation - Reproduction - Rank method - Rank
space method.
Reference Books :
1. Rajsekaran & Pai – Neural
Networks, fuzzylogic & Genetic algorithms, PHI
2. Rich E and Knight K, Artificial
Intelligence, TMH, New Delhi.
3. Hagan, Dernuth & Beale, Neural
network design, Thomson learning, VP.
4. Philip D. Wasserman, Neural Computing, Van
Nostrand Reinhold Pub.
5. Kecman: Learning & soft Computing,
Pearson Edu.
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