Syllabus For The Subject MODELLING, SIMULATIONS AND VISUAL PROGRAMMING

UNIT - 01

ADVANTAGES AND DISADVANTAGES - SYSTEMS - COMPONENTS OF A SYSTEM - TYPES

OF SYSTEM

UNIT - 02

MODEL OF A SYSTEM - SIMULATION EXAMPLES

UNIT - 03

STATISTICAL MODELS - DISCRETE DISTRIBUTIONS - CONTINUOUS DISTRIBUTIONS -

EMPIRICAL DISTRIBUTIONS - POISSON PROCESS

UNIT - 04

QUEUEING MODELS - CHARACTERISTICS - QUEUEING NOTATIONS - SIMULATION

TECHNIQUES - MONTE - CARLO SIMULATION

UNIT - 05

PROPERTIES OF RANDOM NUMBERS - GENERATION OF RANDOM NUMBERS -

TECHNIQUES FOR GENERATING RANDOM NUMBERS - TESTS FOR RANDOM NUMBERS -

2 TEST - RUNS TEST - POKER TEST - KOLMOGROV SIMRNOV TEST

UNIT - 06

RANDOM - VARIATE GENERATION - INVERSE TRANSFORM METHOD - EXPONENTIAL

RANDOM VARIATES - UNIFORM RANDOM VARIATES - POISSON RANDOM VARIATES -

BINOMIAL RANDOM VARIATES - NORMAL RANDOM VARIATES

UNIT - 07

COMPARISON AND SELECTION OF SIMULATION LANGUAGES - STUDY OF ANY ONE

SIMULATION LANGUAGE

UNIT - 08

SIMULATION USING C++

UNIT - 09

GPSS

UNIT - 10

ARENA

UNIT - 11

INPUT MODELING - DATA COLLECTION - IDENTIFYING DISTRIBUTION WITH DATA -

PARAMETER ESTIMATION - GOODNESS-FIT TEST - SELECTING INPUT MODELS WITHOUT

DATA - MULTIVARIATE AND TIME SERIES INPUT MODELS

UNIT - 12

VERIFICATION AND VALIDATION OF INPUT MODELS - MODEL BUILDING - VERIFICATION

AND VALIDATION - OUTPUT ANALYSIS FOR A SINGLE SYSTEM - TYPES OF SIMULATION

AND MODEL STOCHASTIC - NATURE OF OUTPUT DATA