Simulation and Modelling detailed syllabus for Master of Computer Applications (MCA), 2017 regulation has been taken from the University of Mumbai official website and presented for the MCA students. For Scheme related information like Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.
For Master of Computer Applications (MCA) 4th Sem scheme, 2017 regulation, do visit MCA 4th Sem 2017 Pattern Scheme. For the Elective-2 scheme of 4th Sem 2017 regulation (MCA), refer to MCA 4th Sem 2017 Pattern Elective-2 Scheme. The detailed syllabus for simulation and modelling is as follows.
MCA4052: Simulation and Modelling Syllabus for MCA 4th Sem 2017 Pattern Mumbai University (Elective-2)
Prerequisites:
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Course Educational Objectives (CEO):
At the end of the course, the students will be able to
- Understand the basic system concepts and definitions of the types of system.
- Provides techniques to model and simulate each system.
- Ability to analyze the system and make use of information to improve its performance.
Course Outcomes:
At the end of the course, the students will be able to:
- Apply functional modeling to model the activities of a static system.
- Understand the behavior of a dynamic system and create a model for a dynamic system.
- Simulate the real systems
1. Introduction to Simulation
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2. Description and solutions of simulation examples
Simulation of Queuing system (G/G/1, D/D/1 ,.., M/G/1, M/M/1 ) characteristics, notation, Measures of performance of Queuing system, example of single channel of Queue, the Able Baker call center problem.Simulation of inventory system (News Paper seller problem), Other examples: Reliability problem, Use of random normal numbers for simulation, project simulation, Lead Time Demand, Job Shop Model. 12
3. Simulation Models using Random Numbers and Variates
Simulation Examples based on statistical distributions. Discrete distributions, Continuous distributions, Poisson process.Random- Number Generation: Properties of Random Numbers, Generation of Pseudo- Random Numbers, Techniques for Generating Random Numbers, Tests for Random Numbers. Random Variate Generationinverse Transformation Technique -Uniform Distribution, Exponential Distribution, Weibull Distribution. Convolution Method for Erlang Distribution, Acceptance-Rejection Technique -Poisson Distribution. 12
4. Input and Output Analysis
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5. Verification and Validation
Model Building, Verification and Validation; Verification of Simulation Models – Calibration and Validation of Models:-Face Validity, Validation of Model Assumptions, Validating Input-Output Transformations – Input-Output Validation using Historical Input Data, Input-Output . Validation using a Turing Test. Optimization via simulation examples.
6. Modelling and Simulation of Real World Problems
Simulation of manufacturing systems, Simulation of computer systems, Simulation of supermarket. Simulation of Transportation model, business model, Medical models, Social Science models. 06
Reference Books:
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Assessment:
Internal: Assessment consists of two tests (T1 and T2) .The final marks should be the average of the two tests. End Semester Theory Examination: Guidelines for setting up the question paper.
- Question paper will comprise of total six questions.
- Question Number One should be compulsory.
- All question carry equal marks.
- Students can attempt any three from the remaining.
- Questions will be mixed in nature (for example supposed Q.2 has part a from module 3 then part b will be from any module other than module 3).
In question paper weightage of each module will be proportional to number of respective lecture hours as mention in the syllabus.
For detail Syllabus of all subjects of MCA 4th Sem, 2017 regulation, visit MCA 4th Sem Subjects of 2017 Pattern.