Mumbai University Syllabus MCA

Mumbai University MCA 1st Sem Syllabus 2016 Pattern

Mumbai University MCA 2nd Sem Syllabus 2016 Pattern

Mumbai University MCA 3rd Sem Syllabus 2017 Pattern

Mumbai University MCA 4th Sem Syllabus 2017 Pattern

Mumbai University MCA 5th Sem Syllabus 2018 Pattern

Mumbai University MCA 6th Sem Syllabus 2018 Pattern

For all other details and updates about Mumbai University MCA related academic calendar, updated syllabus, cutoff and placements, MCA cutoff and college predictor, results, time table will be updated here time to time.

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Wish you good luck!!!

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

For the complete subjects scheme of Master of Computer Applications (MCA) 4th Sem 2017 regulation Mumbai University, refer to MCA 4th Sem 2017 Pattern.For detailed syllabus of all other subjects of Master of Computer Applications (MCA) 4th Sem, 2017 regulation do visit MCA 4th Sem Subjects Syllabus 2017 Pattern. The detail syllabus for elective-2 syllabus scheme for mca 4th sem 2017 pattern mumbai university is as follows.

MCA 4th Sem 2017 Pattern Elective-2 Scheme

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

Wishing you great luck ahead.

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 ai and soft computing is as follows.

MCA4054: Ai and Soft Computing Syllabus for MCA 4th Sem 2017 Pattern Mumbai University (Elective-2)

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Identify and describe problems that are amenable to solution by AI methods.
2. Study appropriate soft computing techniques for problem solving
3. Study optimization techniques based on soft computing approach

Course Outcomes:

At the end of the course, the students will be able to

1. Understand various AI concepts
2. Solve the problems using neural networks techniques.
3. Apply fuzzy logic techniques to find solution of uncertain problems.
4. Analyze the genetic algorithms and their applications

1. Introduction to AI

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2. Problem Solving

Problems, problem spaces and search: Define the problem as a state space search, Production systems, Problem characteristics, Production system characteristic, Issues in design of search program Search Techniques: DFS, BFS, Hill Climbing 06

3. Knowledge Representation

Knowledge Representation: Need to represent knowledge, Knowledge representation with mapping scheme, Properties of good knowledge-based system, Knowledge representation issues, AND-OR graph, Types of knowledge 09

4. Concepts of Soft Computing

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5. Neural Network

Artificial Neural Network: Introduction,Fundamental Concept, Artificial Neural Network, Brain vs. Computer – Comparison Between Biological Neuron and Artificial Neuron, Basic Models of Artificial Neural Network Supervised Learning Network-Linear Separability, Perceptron Networks, Adaptive Linear Neuron (Adaline), Multiple Adaptive Linear Neurons, Back-Propagation Network. Unsupervised Learning Networks- MaxNet 12

6. Fuzzy Logic

Introduction to Fuzzy Logic, Classical Sets and Fuzzy Sets:Introduction to Fuzzy Logic, Classical Sets (Crisp Sets),Fuzzy Sets Classical Relations and Fuzzy Relations: Introduction, Cartesian Product of Relation, Classical Relation, Fuzzy Relations Membership Functions: Introduction, Features of the Membership Functions, Fuzzification, Methods of Membership Value Assignments Defuzzification: Introduction, Lambda-Cuts for Fuzzy Sets (Alpha-Cuts), Lambda-Cuts for Fuzzy Relations, Defuzzification Methods 10

7. Fuzzy Inference System

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8. Genetic Algorithm

Genetic Algorithm: Basic concepts, Difference between genetic algorithm and traditional methods, Simple genetic algorithm, Working principle, Procedures of GA, Genetic operators-reproduction, Mutation, crossover. 04

Reference Books:

• Artificial Intelligence, 3rd Edition, Elaine Rich, Kevin Knight, S.B. Nair, Tata McGraw Hill.
• Artificial Intelligence and Soft Computing for Beginners- Anandita Das, ShroffPublication.
• Dr. S. N. Sivanandam and Dr. S. N. Deepa,Principles of Soft Computing John Wiley
• S. Rajsekaran& G.A. VijayalakshmiPai, Neural Networks,Fuzzy Logic and Genetic Algorithm:Synthesis and ApplicationsPrentice Hall of India.
• Kumar Satish, Neural NetworksTata McGraw Hill
• Timothy J. Ross, Fuzzy Logic with Engineering ApplicationsWiley India.
• Search, Optimization & Machine Learning by David E. Goldberg.

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.

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 next generation networks is as follows.

MCA4053: Next Generation Networks Syllabus for MCA 4th Sem 2017 Pattern Mumbai University (Elective-2)

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Relate the paradigm shift from circuit switched network to packet switched network.
2. Understand the core technologies, and architectures of the Next Generation Networks
3. Summarize technology options for Multi-Service Networks

Course Outcomes:

At the end of the course, the students will be able to:

1. Evaluate the importance of packet switching for NGN
2. Analyze and differentiate various architectures of a next generation network (NGN)
3. Comprehend the multiple services offered by NGN

1. Introduction

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2. Next Generation Technology

Technologies influencing change, IP Networks (Migration from circuit Switching to Packet Switching), building blocks for NGN, Wireline NG Technologies: Fiber to Premises, Long-Haul Managed Ethernet, Wireless NG Technologies: Broadband Bluetooth & ZigBee, Long Term Evolution, VOIP, Multi service Flexible Networks architecture. VPNs, ITU – NGN Architecture, Numbering, naming and addressing in NGN 10

3. IMS and Convergence Management

IMS Architecture, IMS Services : Push to Talk over cellular Service , IMS Based FMC Services 08

4. IPTV &HbbTV

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5. Next Generation Multiservice Technology

MPLS , MPLS services and components , MPLS &QoS, overview of VPN, layer2 VPN, layer 3 VPN 08

6. NGN Services

Software- Based Business Services, High- Definition Voices, Three Dimensional Television, Mobile and Manages Peer-to Peer Service, Converged/ Personalized / Interactive Multimedia Services, GrandSeparation for Pay-per-Use Service, Consumer and Business-Oriented Apps Storefront 10

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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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.

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:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Understand the basic system concepts and definitions of the types of system.
2. Provides techniques to model and simulate each system.
3. 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:

1. Apply functional modeling to model the activities of a static system.
2. Understand the behavior of a dynamic system and create a model for a dynamic system.
3. 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:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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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.

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 digital forensics is as follows.

MCA4051: Digital Forensics Syllabus for MCA 4th Sem 2017 Pattern Mumbai University (Elective-2)

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Understand the fundamental of forensics
2. Have in depth knowledge of relationship between IT and Forensics
3. Study different aspects of digital evidences

Course Outcomes:

At the end of the course, the students will be able to:

1. Develop computer forensic awareness
2. Utilizing the knowledge for investigations in order to solve computer crime
3. Perform best practices for incidence response
4. Apply computer forensic tools for investigation

1. Introduction

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2. Data Recovery

Encryption and Decryption, Recovery deleted files, Identifying false images and Steganography methods for media data including text, image and audio data 08

3. Digital Evidence Controls

Uncovering attacks that evade detection by event viewer and task manager. Memory image acquisition techniques and their limitations 08

4. Network Forensics

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5. Mobile Phone and Android Forensics

Crime and mobile phones, evidences, forensic procedures, files present in SIM Card, Device data, External memory dump and evidences in memory card, Android forensic fundamental, Data extraction techniques, screen lock bypassing techniques 08

6. Cloud Forensics

Fundamentals of cloud forensics, Cloud crimes, Uses of cloud forensics and its challenges, Interaction of Email system with local and cloud storage 08

7. Real forensic Case and Its Tools

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Reference Books:

• Digital Forensics with open source tools. Cory Altheide and Harlan Carvey, ISBN: 978-1-59749-586-8,Elsevier Publications, April 2011
• Digital Evidence and Computer crime 3rd Edition: Forensics Science, Computers and the Internet by Eoghan Casey, 2011
• Computer Forensic and Cyber Crime: An Introduction 3rd Edition by Maijie T. Britz, 2013
• Network Forensics: Tracking Hackers through Cyber Space, Sherri Davidoff, Jonathan Ham Prentice Hall 2012
• Android Forensics: Investigation and Security by Andrew Hogg, Publisher – Synergy
• Practical Mobile Forensics: Satish Bommisetty,RohitTamma and Heather Mahalik, Pack Publishing LTD 2014, ISBN-978-1-78328-831-1

Web References:

1. Computer Forensics World http://www.computerforensicsworld.com/
2. Computer Forensic Services http://www.computer-forensic.com
3. Digital Forensic Magazine http://www.digitalforensicsmagzine.com
4. Journal of Digital Forensic Practice http://www.tandf.co.uk/15567281
5. http://cloudtimes.org/2012/11/05/the-basics-of-cloud-forensics/

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.

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

For the complete subjects scheme of Master of Computer Applications (MCA) 5th Sem 2018 regulation Mumbai University, refer to MCA 5th Sem 2018 Pattern.For detailed syllabus of all other subjects of Master of Computer Applications (MCA) 5th Sem, 2018 regulation do visit MCA 5th Sem Subjects Syllabus 2018 Pattern. The detail syllabus for elective-2 (institutional level) syllabus scheme for mca 5th sem 2018 pattern mumbai university is as follows.

MCA 5th Sem 2018 Pattern Elective-2 (Institutional Level) Scheme

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

Wishing you great luck ahead.

For Master of Computer Applications (MCA) 5th Sem scheme, 2018 regulation, do visit MCA 5th Sem 2018 Pattern Scheme. For the Elective-2 (Institutional Level) scheme of 5th Sem 2018 regulation (MCA), refer to MCA 5th Sem 2018 Pattern Elective-2 (Institutional Level) Scheme. The detailed syllabus for green computing is as follows.

MCAILE5054: Green Computing Syllabus for MCA 5th Sem 2018 Pattern Mumbai University (Elective-2 (Institutional Level))

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Understand what Green IT is and how we can meet standards set for Green Computing
2. Comprehend Green IT from the perspective of hardware, software, storage, and networkingat the enterprise level.
3. Strategize Green Initiatives and look at the future of Green IT

Course Outcomes:

At the end of the course, the students will be able to

1. Create awareness among stakeholders and promote green initiatives in their environments leading to a green movement.
2. Adopt special skills such as knowledge about energy efficiency, ethical IT assets disposal, carbon footprint estimation.
3. Create eco-friendly environment.

1. Trends and Reasons to Go Green

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2. Introduction to Green IT

• Green IT
• Holistic Approach to Greening IT
• Awareness to Implementation
1. Green IT Trends
2. Green Engineering
• Greening by IT
1. Using RFID for Environmental Sustainability
2. Smart Grids
3. Smart Buildings and Homes
4. Green Supply Chain and Logistics
5. Enterprise-Wide Environmental Sustainability 08

3. Green Hardware and Software

Green Hardware

• Introduction ,
• Life Cycle of a Device or Hardware ,
• Reuse, Recycle and Dispose

Green Software

• Introduction
• Energy-Saving Software Techniques

Changing the way we work

• Going Paperless 08

4. Green Data Centers and Storage

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5. Enterprise Green IT Strategy

• Introduction
• Approaching Green IT Strategies 08
• Business Drivers of Green IT Strategy
• Business Dimensions for Green IT Transformation
• Organizational Considerations in a Green IT Strategy
• Steps in Developing a Green IT Strategy
• Metrics and Measurements in Green Strategies
• Organizational and Enterprise Greening
• Greening the Enterprise: IT Usage and Hardware

6. Managing and Regulating Green IT

Managing Green IT

• Introduction
• Strategizing Green Initiatives
• Implementation of Green IT
• Information Assurance
• Communication and Social Media

Regulating Green IT

• Introduction
• The Regulatory Environment and IT Manufacturers
• Non-regulatory Government Initiatives
• Industry Associations and Standards Bodies
• Green Building Standards
• Green Data Centres
• Social Movements and Greenpeace

The Future of Green IT

• Green Computing and the Future
• Megatrends for Green Computing
• Tele-presence Instead of Travel
• Tele-commuting Instead of Commuting
• Deep Green Approach 12

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Web References:

• http://www.carbonfootprint. com
• https://www.energystar.gov/

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 5th Sem, 2018 regulation, visit MCA 5th Sem Subjects of 2018 Pattern.

For Master of Computer Applications (MCA) 5th Sem scheme, 2018 regulation, do visit MCA 5th Sem 2018 Pattern Scheme. For the Elective-2 (Institutional Level) scheme of 5th Sem 2018 regulation (MCA), refer to MCA 5th Sem 2018 Pattern Elective-2 (Institutional Level) Scheme. The detailed syllabus for management information system is as follows.

MCAILE5053: Management Information System Syllabus for MCA 5th Sem 2018 Pattern Mumbai University (Elective-2 (Institutional Level))

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Understand the nature of management information systems and their applications in business
2. Learn the core activities in the systems development process.
3. Identify the major management challenges in building and using information systems.

Course Outcomes:

At the end of the course, the students will be able to

1. Understand theoretical aspects of Management Information Systems
2. Know the procedures and practices for performing information system planning and design.
3. Gain knowledge in various Decision Support Systems
4. Understand the implications of Management Information Systems on business

1. Management Information Systems

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2. Strategic Design and Development of MIS

Strategic Management of the Business, Strategic design of MIS,Business Strategy Implementation, Development of Long Range Plans of MIS, Ascertaining the class of Information, Determining the Information Requirement, Development and Implementation of MIS, MIS: Development Process Model, case study. 10

3. Decision Making

Decision making concepts, Decision Analysis by analytical modelling, Behavioral concepts in decision making, Organizational decision making, MIS and Decision Making, Case Study 09

4. Information, knowledge, Business Intelligence

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5. E-Commerce: Applications and Issues

Introduction to E-Commerce, Scope of E-commerce, ECommerce Applications and Issues, case study 07

6. Securing Information Systems

System Vulnerability and Abuse, Business value of security and control, Technology and Tools for protecting Information, Resources,case study 07

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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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 5th Sem, 2018 regulation, visit MCA 5th Sem Subjects of 2018 Pattern.

For Master of Computer Applications (MCA) 5th Sem scheme, 2018 regulation, do visit MCA 5th Sem 2018 Pattern Scheme. For the Elective-2 (Institutional Level) scheme of 5th Sem 2018 regulation (MCA), refer to MCA 5th Sem 2018 Pattern Elective-2 (Institutional Level) Scheme. The detailed syllabus for research methodology is as follows.

MCAILE5052: Research Methodology Syllabus for MCA 5th Sem 2018 Pattern Mumbai University (Elective-2 (Institutional Level))

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Course Educational Objectives (CEO):

At the end of the course, the students will be able to:

1. To understand Research and Research Process
2. To acquaint students with identifying problems for research and develop research strategies
3. To familiarize students with the techniques of data collection, analysis of data and interpretation

Course Outcomes:

At the end of the course, the students will be able to:

1. Prepare a preliminary research design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or situations clearly
4. Review and analyze research findings Get the knowledge of objectives and types of research

1. Introduction and Basic Research Concepts

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2. Types of Research

Basic Research , Applied Research , Descriptive Research,Analytical Research , Empirical Research ,Qualitative and Quantitative Approaches 08

3. Research Design and Sample Design

Research Design – Meaning, Types and Significance , Sample Design – Meaning and Significance Essentials of a good sampling Stages in Sample Design Sampling methods/techniques Sampling Errors 10

4. Research Methodology

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5. Formulating Research Problem

Considerations: Relevance, Interest, Data Availability, Choice of data, Analysis of data, Generalization and Interpretation of analysis 08

6. Outcome of Research

Preparation of the report on conclusion reached , Validity Testing & Ethical Issues , Suggestions and Recommendation 08

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

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 four 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 5th Sem, 2018 regulation, visit MCA 5th Sem Subjects of 2018 Pattern.