IIFT India, IIFT 2010 Exam

The Indian Institute of Foreign Trade (IIFT) is an autonomous organization set up in 1963 by the government of India to help professionalize the country's foreign trade management and increase exports by developing human resources, generating, analyzing and disseminating data, and conducting research. Today it is more known as a business school.

IIFT is a deemed university and it conducts an autonomous entrance examination across various centers in India. In 2009 an estimated 65000 candidates took the entrance exam for Full Time MBA (IB) course having 180 seats, making it one of the toughest schools to get into in India.

ELIGIBILITY

• Bachelor’s degree of minimum 3 years duration in any discipline. Candidate appearing for a qualifying examination can also apply subject to submission of proof of requisite qualification by 7th October 2011.

• No age limit.
  

RESERVATION

Seats are reserved as per Government of India rules. The reservations are subject to candidates meeting the admission requirement of the Institute under different categories.

For Foreign Nationals / NRI / Children of NRIs:

Seats are reserved for foreign nationals, NRIs and children of NRIs and the admission is considered on the basis of General Management Aptitude Test (GMAT) score of which should not have been declared before 1st January 2009 and should be received by the Institute latest by 31st March 2011.

MODE OF ADMISSION

Selection will be on the basis of Written Test, Group Discussion, Essay Writing and Interview. Written Test will be held on SUNDAY 28th November 2010 during 10.00 a.m – 12.00 noon at Ahmedabad, Allahabad, Bangalore, Bhubeneshwar, Chandigarh, Chennai, Coimbatore, Dehradun, Delhi, Guwahati, Hydrabad, Indore, Jaipur, Jamshedpur, Kochi, Kolkata, Lucknow, Mumbai, Nagpur and Visakhapatnam. Based on the marks of Written Test, a limited number of candidates will be invited for second phase of selection process comprising Group Discussion, Essay Writing and Interview to be held at Bangalore, Chennai, Delhi, Hyderabad, Kolkata, Lucknow and Mumbai. IIFT reserves the right to add/delete any centre, if required.

IMPORTANT DATES

Last date for sale of prospectus by post	20th August 2010
Last date for sale of prospectus across the IIFT counter	3rd September 2010
Last date for receipt of completed applications	3rd September 2010
Last date for obtaining prospectus & receipt of applications for foreign nationals/NRIs/Children of NRIs	15th February 2011

WIRELESS NETWORKS Semester 7 Mumbai University

Mumbai University-Fourth / Final Year -Semester VII Information Technology Syllabus (Revised)Final Year WIRELESS NETWORKS

Elective – I : WIRELESS NETWORKS
CLASS B.E. ( INFORMATION TECHNOLOGY) SEMESTER VII
HOURS PER WEEK	LECTURES	:	04
TUTORIALS	:	--
PRACTICALS	:	02
	HOURS	MARKS
EVALUATION SYSTEM:	THEORY		3	100
PRACTICAL		--	--
ORAL		--	25
TERM WORK		--	25
Prerequisite: Networking Technology for Digital Devices, Convergence Technology for Networking in communication, C/C++/Java
Objective: The main objective of this course is to get acquainted of Wireless Communication Systems and their Applications through today’s technologies.

1. Introduction to Wireless Networks: Evolution of Wireless Networks, Challenges, Overview of various Wireless Networks.

2. Wireless Communications Principles and Fundamentals: Introduction, The Electromagnetic Spectrum, The Cellular Concept, The Ad Hoc and Semi Ad Hoc Concepts, Wireless Services, Data Delivery Approaches, Overview of Basic Techniques and Interactions Between the Different Network Layers

3. First Generation (1G) Cellular Systems: Introduction, Advanced Mobile Phone System (AMPS), Nordic Mobile Telephony (NMT).

4. Second Generation (2G) Cellular Systems: Introduction, D-AMPS, cdmaOne (IS-95), GSM, IS-41, Data Operations, Cordless Telephony (CT).

5. Third Generation (3G) Cellular Systems: Introduction, 3G Spectrum Allocation, Third Generation Service Classes and Applications, Third Generation Standards.

6. Fourth Generation (4G): Introduction, Design Goals for 4G and Beyond and Related Research Issues, 4G Services and Applications, Challenges.

7. Satellite Networks: Introduction, Satellite Systems, VSAT Systems, Examples of Satellite-based Mobile Telephony Systems, Satellite based Internet Access.

8. Fixed Wireless Access Systems: Wireless Local Loop versus Wired Access, Wireless Local Loop, Wireless Local Loop Subscriber Terminals (WLL), Wireless Local Loop Interfaces to the PSTN, IEEE 802.16 Standards.

9. Wireless Local Area Networks: Introduction, Wireless LAN Topologies, Wireless LAN Requirements, The Physical Layer, The Medium Access Control (MAC) Layer, Latest Developments.

10. Wireless ATM and Ad Hoc Routing: Introduction, Wireless ATM Architecture, HIPERLAN 2: An ATM Compatible WLAN, Routing in Wireless Ad Hoc Networks.

11. Personal Area Networks (PANs): Introduction to PAN Technology and Applications, Commercial Alternatives: Bluetooth, Commercial Alternatives: HomeRF.

12. Security Issues in Wireless Systems: The Need for Wireless Network Security, Attacks on Wireless Networks, Security Services, Wired Equivalent Privacy (WEP) Protocol, Mobile IP, Weaknesses in the WEP Scheme, Virtual Private Network (VPN).

13. Economics of Wireless Networks: Introduction, Economic Benefits of Wireless Networks, The Changing Economics of the Wireless Industry, Wireless Data Forecast, Charging Issues.

14. Case Studies on Simulation of Wireless Network Systems: Performance Evaluation of IEEE 802.11 WLAN Configurations Using Simulation, Simulation Analysis of the QoS in IEEE 802.11 WLAN System, Simulation Comparison of the TRAP and RAP Wireless LANs Protocols, Simulation Modeling of Topology Broadcast Based on Reverse-Path Forwarding (TBRPF) Protocol Using an 802.11 WLAN-based MONET Model.

Text Book: “Wireless Networks”, P. Nicopolitidis, M. S. Obaidat, G. I. Papadimitriou, A. S. Pomportsis, John Wiley & Sons, Ltd. References:

1. “Wireless Communications Principles and Practices”, T. S. Rappaport, Pearson Education.

2. “Wireless Communications and Networks”, William Stallings, Pearson Education.

3. “Wireless and Mobile Network Architectures”, Yi-BaNG Lin and Imrich Chlamtac, Wiley.

4. “Wireless and Mobile Communication”, Sanjeev Kumar, New Age International Publications.

5. “Wireless Network Evoving :2G to 3G”, Garg, Pearson Education.

6. “Mobile Communication System”, Y. C. Lee.

7. “Guide to Wireless Network Security”, John R. Vacca, Springer.

8. “The Wireless Application Protocol”, Steve Mann, Scott Sbihli, Wiley.

9. “Mobile Communications”, Jochen Schiller, Pearson, Second Edition.

10. “Mobile Computing- Technology, Applications and Service Creation”, A. K. Talukder, R.R. Yavagal, TMH.

Term Work: Term work shall consist of at least 10 experiments covering all topics and one written test. Distribution of marks for term work shall be as follows: Attendance (Theory and Practical) 05 Marks Laboratory work (Experiments and Journal) 10 Marks Test (at least one) 10 Marks The final certification and acceptance of TW ensures the satisfactory Performance of laboratory Work and Minimum Passing in the term work. Suggested Experiment List

1. Study and analysis of wireless device and product specifications.

2. Implementation of spread spectrum techniques like DSSS and FHSS.

3. Use simulation tools like ANSim to study and simulate Ad-Hoc Network.

4. Implementation of MACA as RTS/CTS communication.

5. Study the wireless markup language and develop small application using it.

6. Study and implementation of wireless access and wireless application protocol.

7. Study and implementation of security issues in wireless network.

8. Case study implementation given in the syllabus.

Mumbai University-Fourth Year -Semester 7 VII Information Technology Syllabus (Revised) 2010

Click to enlarge.

Fourth Year -Semester 7 VII Information Technology Subjects in Detail

• Data Warehousing, Mining & Business Intelligence
• Image processing
• Simulation and Modeling
• Software testing & Quality Assurance
• Elective – I
  1. Wireless Network
  2. Multimedia Systems
  3. Evolutionary Algorithms
  4. IT in Construction
  5. Nanotechnology
  6. Geographical Information Systems
  7. Artificial Intelligence
• Project - I

Scheme of Instructions	Scheme of Examinations
Sr. No	Subjects	Lect/ Week	Pract/ Week	Tuto/ Week	Theory	T/W	Practical	Oral	Total
Hours	Marks	Marks	Marks	Marks	Marks
1	Data Warehousing, Mining & Business Intelligence	4	2	--	3	100	25	--	25	150
2	Image processing	4	2	--	3	100	25	--	25	150
3	Simulation and Modeling	4	2	--	3	100	25	25	--	150
4	Software testing & Quality Assurance	4	2	--	3	100	25	--	25	150
5	Elective – I	4	2	--	3	100	25	--	25	150
6	Project - I	--	4	--	--	--	25	--	25	50
	TOTAL	20	14	2	3	500	150	25	125	800

Final Year PROJECT Semester 7 Mumbai University

Mumbai University-Fourth / Final Year -Semester VII Information Technology Syllabus (Revised)Final Year PROJECT Semester 7 Mumbai University

PROJECT – I
CLASS B.E. ( INFORMATION TECHNOLOGY) SEMESTER VII
HOURS PER WEEK	LECTURES	:	--
TUTORIALS	:	--
PRACTICALS	:	04
	HOURS	MARKS
EVALUATION SYSTEM:	THEORY		--	--
PRACTICAL		--	--
ORAL		--	25
TERM WORK		--	25
Objective: The Project work enables students to develop further skills and knowledge gained during the programme by applying them to the analysis of a specific problem or issue, via a substantial piece of work carried out over an extended period. For students to demonstrate proficiency in the design of a research project, application of appropriate research methods, collection and analysis of data and presentation of results.

Guidelines:

1. Project Topic:

• To proceed with the project work it is very important to select a right topic. Project can be undertaken on any subject addressing IT programme. Research and development projects on problems of practical and theoretical interest should be encouraged.

• Project work must be carried out by the group of at least two students and maximum three and must be original.

• Students can certainly take ideas from anywhere, but be sure that they should evolve them in the unique way to suit their project requirements.

• The project work can be undertaken in a research institute or organization/company/any business establishment.

• Student must consult internal guide along with external guide (if any) in selection of topic. Out of the total projects 35 percent may be allowed as to be industry projects, 65 percent projects must be in house.

• Head of department and senior staff in the department will take decision regarding projects.

• Student has to submit weekly progress report to the internal guide and where as internal guide has to keep track on the progress of the project and also has to maintain attendance report. This progress report can be used for awarding term work marks.

• In case of industry projects, visit by internal guide will be preferred.

• Make sure that external project guides are BE graduates.

2. Project Report Format:

At the end of semester a project report should preferably contain at least following details:-

• Abstract

• Introduction

• Aims and objectives

• Literature Surveyed

• Existing system (if any)

• Problem Statement

• Scope

• Proposed System

• Methodology (your approach to solve the problem)

• Analysis

• Details of Hardware & Software

• Design details

• Implementation Plan for next semester

3. Term Work:

Distribution of marks for term work shall be as follows:

Weekly Attendance on Project Day 05 Marks Project Report (Spiral Bound) 10 Marks Term End Presentation (Internal) 10 Marks The final certification and acceptance of TW ensures the satisfactory performance on the above three aspects.

4. Final Assessment:

Project – I examination should be conducted by two examiners appointed by university. Students have to give demonstration and seminar on the Project – I.

ARTIFICIAL INTELLIGENCE

Mumbai University-Fourth / Final / Final Year -Semester VII Information Technology Syllabus (Revised) ARTIFICIAL INTELLIGENCE

ELECTIVE – I : ARTIFICIAL INTELLIGENCE
CLASS B.E. ( INFORMATION TECHNOLOGY) SEMESTER VII
HOURS PER WEEK	LECTURES	:	04
TUTORIALS	:	--
PRACTICALS	:	02
	HOURS	MARKS
EVALUATION SYSTEM:	THEORY		3	100
PRACTICAL		--	--
ORAL		--	25
TERM WORK		--	25
Prerequisite: programming language like JAVA or Python
Objective: This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. Students will develop a basic understanding of the building blocks of AI as presented in terms of intelligent agents. This course will attempt to help students understand the main approaches to artificial intelligence such as heuristic search, game search, logical inference, decision theory, planning, machine learning, neural networks and natural language processing. Students will be able to recognize problems that may be solved using artificial intelligence and implement artificial intelligence algorithms for hands-on experience

1. Artificial Intelligence: Introduction to AI, History of AI, Emergence Of Intelligent Agents

2. Intelligent Agents: PEAS Representation for an Agent, Agent Environments, Concept of Rational Agent, Structure of Intelligent agents, Types of Agents.

3. Problem Solving: Solving problems by searching, Problem Formulation, Uninformed Search Techniques- DFS, BFS, Iterative Deepening, Comparing Different Techniques, Informed search methods – heuristic Functions, Hill Climbing, Simulated Annealing, A*, Performance Evaluation.

4. Constrained Satisfaction Problems: Constraint Satisfaction Problems like, map Coloring, Crypt Arithmetic, Backtracking for CSP, Local Search.

5. Adversarial Search: Games, Minimax Algorithm, Alpha Beta pruning.

6. Knowledge and Reasoning: A knowledge Based Agent, Introduction To Logic, Propositional Logic, Reasoning in Propositional logic, First Order Logic: Syntax and Semantics, Extensions and Notational Variation, Inference in First Order Logic, Unification, Forward and backward chaining, Resolution.

7. Knowledge Engineering: Ontology, Categories and Objects, Mental Events and Objects.

8. Planning: Planning problem, Planning with State Space Search, Partial Order Planning, Hierarchical Planning, Conditional Planning.

9. Uncertain Knowledge and Reasoning: Uncertainty, Representing knowledge in an Uncertain Domain, Overview of Probability Concepts, Belief Networks, Simple Inference in Belief Networks.

10. Learning: Learning from Observations, General Model of Learning Agents, Inductive learning, learning Decision Trees, Introduction to neural networks, Perceptrons, Multilayer feed forward network, Application of ANN, Reinforcement learning: Passive & Active Reinforcement learning.

11. Agent Communication: Communication as action, Types of communicating agents, A formal grammar for a subset of English

Text Book:

1. Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 2nd Edition, Pearson Publication.

Reference Books:

1. George Lugar, “AI-Structures and Strategies for Complex Problem Solving”, 4/e, 2002, Pearson Educations

2. Robert J. Schalkolf, Artificial Inteilligence: an Engineering approach, McGraw Hill, 1990.

3. Patrick H. Winston, Artificial Intelligence, 3rd edition, Pearson.

4. Nils J. Nilsson, Principles of Artificial Intelligence, Narosa Publication.

5. Dan W. Patterson, Introduction to Artificial Intelligence and Expert System, PHI.

6. Efraim Turban Jay E.Aronson, "Decision Support Systems and Intelligent Systems” PHI.

7. M. Tim Jones, Artificial Intelligence – A System Approach, Infinity Science Press -Firewall Media.

8. Christopher Thornton and Benedict du Boulay, “Artificial Intelligence – Strategies, Applications, and Models through Search, 2nd Edition, New Age International Publications.

9. Elaine Rich, Kevin Knight, Artificial Intelligence, Tata McGraw Hill, 1999.

10. David W. Rolston, Principles of Artificial Intelligence and Expert System Development, McGraw Hill, 1988.

Term Work: Term work shall consist of at least 10 experiments covering all topics and one written test. Distribution of marks for term work shall be as follows: Attendance (Theory and Practical) 05 Marks Laboratory work (Experiments and Journal) 10 Marks Test (at least one) 10 Marks The final certification and acceptance of TW ensures the satisfactory Performance of laboratory Work and Minimum Passing in the term work. Suggested Experiment list: (Can be implemented in JAVA)

1. Problem Formulation Problems

2. Programs for Search

3. Constraint Satisfaction Programs

4. Game Playing Programs

5. Assignments on Resolution

6. Building a knowledge Base and Implementing Inference

7. Assignment on Planning and reinforcement Learning

8. Implementing Decision Tree Learner

9. Neural Network Implementation

10. Bayes’ Belief Network (can use Microsoft BBN tool)

11. Assignment on Agent Communication – Grammar Representation For Simple Domains

ORAL EXAMINATION

Oral examination is to be conducted based on the above syllabus.