Scheme of examination
[T1] [T2][T3] [No. of Hrs. 11]
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[T1] [T2][T3] [No. of Hrs. 11] UNIT-III MOBILE IP Network Layer: IP and Mobile IP Network Layer- Packet delivery and Handover Management-Location Management- Registration- Tunnelling and Encapsulation-Route Optimization- Dynamic Host Configuration Protocol, Ad Hoc networks, localization, MAC issues, Routing protocols, global state routing (GSR), Destination sequenced distance vector routing (DSDV), Dynamic source routing (DSR), Ad Hoc on demand distance vector routing (AODV), VoIP –IPSec. Mobile Transport Layer: Traditional TCP/IP, Transport Layer Protocols-Indirect, Snooping, Mobile TCP. [T1] [T2][T3] [No. of Hrs. 11] UNIT-IV Support for Mobility: Data bases, data hoarding, Data dissemination, UA Prof and Caching, Service discovery, Data management issues, data replication for mobile computers, adaptive clustering for mobile wireless networks, Mobile devices and File systems, Data Synchronization, Sync ML. Introduction to Wireless Devices and Operating systems: Palm OS, Windows CE, Symbion OS, Android, Mobile Agents. Introduction to Mobile application languages and tool kits. [T1] [T2][T3] [No. of Hrs. 11] Course Outcomes: 1. Gain the knowledge about various types of Wireless Data Networks and Wireless Voice Networks. 2. Understand the architectures, the challenges and the Solutions of Wireless Communication. 3. Realize the role of Wireless Protocols in shaping the future Internet. 4. Able to develop simple Mobile Applications Using Toll kit. Text Books: [T1] J. Schiller, “Mobile Communications”, 2nd edition, Pearson, 2011. [T2] Raj Kamal “Mobile Computing” Oxford Higher Education, Second Edition, 2012. [T3] Dharam prakash Agrawal and Qing-An Zeng, “Introduction to Wireless and Mobile Systems” 3rd edition, Cengage learning 2013. Reference Books: [R1] Asoke K Talukder, Hasan Ahmed,Roopa R Yavagal “Mobile Computing”, Tata McGraw Hill Pub ,Aug – 2010 [R2] Pei Zheng, Larry L. Peterson, Bruce S. Davie, Adrian Farrell “Wireless Networking Complete” Morgan Kaufmann Series in Networking , 2009 ( introduction, WLAN MAC) [R3] Vijay K Garg “Wireless Communications & Networking” Morgan Kaufmann Series, 2010 [R4] M. V. D. Heijden, M. Taylor, Understanding WAP, Artech House. [R5] Charles Perkins, Mobile IP, Addison Wesley. [R6] Charles Perkins, Ad hoc Networks, Addison Wesley. [R7] Uwe Hansmann, Lothar Merk, Martin S. Nicklous, Thomas Stober, “Principles of Mobile Computing”, Springer. [R8] Evaggelia Pitoura and George Samarus, “Data Management for Mobile Computing”, Kluwer Academic Press, 1998 Laboratory session: The student is advised to learn any of the following languages and use any one tool kit for generating mobile applications, such as game, Clock, calendar, Convertor, phone book, Text Editor etc., Language support: XHTML-MP, WML, WML Script. Mobile application languages- XML, Voice XML, Java, J2ME, Java Card TooL Kits: WAP Developer tool kit and application environment, Android Mobile Applications Development Tool kit. [R1] Donn Felker , “Android Application Development For Dummies”, Wiley, 2010 [R2] Reto Meier, “ Professional Android 2 Application Development”, Wrox’s Prog. to Programmer Series. [R3] Ed Burnette, ’Hello, Android: Introducing Google’s Mobile Development Platform’ third edition’ Pragmatic Programmers,2012 [R4] Jerome(J.F) DiMarzio “Android A programmer’s Guide” Tata McGraw-Hill 2010 Edition. [R5] Reza B’Far, “Mobile computing principles: Designing and Developing Mobile Applications with UML and XML”, Cambridge University press, 2005. [R6] R.Riggs, A. Taivalsaari, M.VandenBrink, “Programming Wireless Devices with Java2 Platform, Micro Edition”, ISBN: 0-201-74627-1, Addision Wesley,, 2001. ADHOC AND SENSOR NETWORKS Paper Code: ETEC-406 L T/P C Paper: Ad Hoc and Sensor Networks 3 0 3 INSTRUCTIONS TO PAPER SETTER: MAXIMUM MARKS: 75 1. Question No. 1 should be compulsory and cover the entire syllabus. This question should have objective or short answer type questions. It should be of 25 marks. 2. Apart from Q. No. 1 rest of the paper shall consist of four units as per the syllabus. Every unit should have two questions. However, student may be asked to attempt only 1 question from each unit. Each question should be of 12.5 marks.
Objective: The prerequisites are data communication networks, wireless communication and networks. The objective of the paper is to introduce infrastructure less wireless networking. UNIT I Ad Hoc Wireless Networks: Introduction. Issues in Ad Hoc Wireless Networks. Ad Hoc Wireless Internet. MAC Protocols for Ad Hoc Wireless Networks: Introduction, Issues in Designing a MAC Protocol for Ad Hoc Wireless Networks. Design Goals of a MAC Protocol for Ad Hoc Wireless Networks. Classifications of MAC Protocols. Contention-Based Protocols. Contention-Based Protocols with Reservation Mechanisms. Contention-Based MAC Protocols with Scheduling Mechanisms. MAC Protocols in Directional Antennas. Other MAC Protocols [T1, T2][No. of Hrs. 11] UNIT II Routing Protocols for Ad Hoc Wireless Networks: Introduction to Routing algorithm, Issues in Designing a Routing Protocol for Ad Hoc Wireless Networks. Classifications of Routing Protocols. Table-Driven Routing Protocols. On-Demand Routing Protocols. Hybrid Routing Protocols. Routing Protocols with Efficient Flooding Mechanisms. Hierarchical Routing Protocols. Power-Aware Routing Protocols. Transport Layer and Security Protocols for Ad Hoc Wireless Networks: Introduction. Issues in Designing a Transport Layer Protocol for Ad Hoc Wireless Networks. Design Goals of a Transport Layer Protocol for Ad Hoc Wireless Networks. Classification of Transport Layer Solutions. TCP Over Ad Hoc Wireless Networks. Other Transport Layer Protocols for Ad Hoc Wireless Networks. Security in Ad Hoc Wireless Networks. Network Security Requirements. Issues and Challenges in Security Provisioning. Network Security Attacks. Key Management. Secure Routing in Ad Hoc Wireless Networks. [T1, T2][No. of Hrs. 12] UNIT III Wireless Sensor Networks: Introduction. Sensor Network Architecture. Data Dissemination. Data Gathering. MAC Protocols for Sensor Networks. Location Discovery. Quality of a Sensor Network. Evolving Standards. Other Issues. Hybrid wireless Networks: Introduction. Next-Generation Hybrid Wireless Architectures. Routing in Hybrid Wireless Networks. Pricing in Multi-Hop Wireless Networks. Power Control Schemes in Hybrid Wireless Networks. Load Balancing in Hybrid Wireless Networks. [T1, T2][No. of Hrs. 11] UNIT IV Wireless Geolocation Systems: Introduction. What is wireless Geolocation? Wireless Geolocation System Architecture. Technologies for Wireless Geolocation. Geolocation Standards for E-911 Services. Performance Measures for Geolocation Systems. Questions. Problems. Recent Advances in Wireless Networks: Introduction. Ultra-Wide-Band Radio Communication. Wireless Fidelity Systems. Optical Wireless Networks. The Multimode 802.11 -IEEE 802.11a/b/g. The Meghadoot Architecture, introduction to vehicular sensor networks. [T1, T2] [No. of Hrs. 11] Text Books: [T1] Siva Ram Murthy, C. and Manoj,B. S., Adhoc Wireless Networks Architectures and Protocols, Prentice Hall, PTR, (2004) 2nd ed. [T2] Perkins, Charles E., Ad hoc Networking, Addison Wesley, (2000) 3rd ed.
[R2] Pahlavan, Kaveh., Krishnamoorthy, Prashant., Principles of Wireless Networks, - A united approach - Pearson Education, (2002) 2nd ed. [R3] Wang X. and Poor H.V., Wireless Communication Systems, Pearson education, (2004) 3rd ed. [R4] Schiller Jochen., Mobile Communications, Person Education – 2003, 2nd ed. [R5] Carlos De Morais Cordeiro and Dharam P Agrawal, “Adhoc and Sensor Networks- Theory & Applications”, 2nd Ed, Cambridge Univ Press India Ltd
1. Question No. 1 should be compulsory and cover the entire syllabus. This question should have objective or short answer type questions. It should be of 25 marks. 2. Apart from Question No. 1, rest of the paper shall consist of four units as per the syllabus. Every unit should have two questions. However, student may be asked to attempt only 1 question from each unit. Each question should be of 12.5 marks. 3. Two internal sessional test of 10 marks each and one project report* carrying 5 marks. Objectives:
UNIT I - Appraisal of Human Values and Professional Ethics: Review of Universal Human Values: Truth, Love, Peace, Right conduct, Non violence, Justice and Responsibility. Living in harmony with ‘SELF’, Family, Society and Nature. Indian pluralism - the way of life of Islam, Buddhism, Christianity, Jainism, Sikhism and Hinduism, Greek - Roman and Chinese cultural values. Sensitization of Impact of Modern Education and Media on Values: a) Impact of Science and Technology b) Effects of Printed Media and Television on Values c) Effects of computer aided media on Values (Internet, e-mail, Chat etc.) d) Role of teacher in the preservation of tradition and culture. e) Role of family, tradition & community prayers in value development.
Safety and Risks, Risk and Cost, Risk benefit analysis, testing methods for safety. Engineer’s Responsibility for Safety Social and Value dimensions of Technology - Technology Pessimism – The Perils of Technological Optimism – The Promise of Technology – Computer Technology Privacy
Collegiality and loyalty, Conflict of interests, confidentiality, occupational crimes, professional rights, responsibilities. To boost industrial production with excellent quality and efficiency, To enhance national economy, To boost team spirit, Work Culture and feeling of job satisfaction, National integration, Examples of some illustrious professionals. Need for Ethical Codes, Study of some sample codes such as institution of Electrical and Electronics Engineers, Computer Society of India etc., Ethical Audit.
[T1] Professional Ethics, R. Subramanian, Oxford University Press. [T2] Professional Ethics & Human Values: Prof. D.R. Kiran, TATA Mc Graw Hill Education.
[R1] Human Values and Professional Ethics: R. R. Gaur, R. Sangal and G. P. Bagaria, Eecel Books (2010, New Delhi). Also, the Teachers‟ Manual by the same author [R2] Fundamentals of Ethics, Edmond G. Seebauer & Robert L. Barry, Oxford University Press [R3] Values Education: The paradigm shift, by Sri Satya Sai International Center for Human Values, New Delhi. [R4] Professional Ethics and Human Values – M.Govindrajan, S.Natarajan and V.S. Senthil Kumar, PHI Learning Pvt. Ltd. Delhi [R5] A Textbook on Professional Ethics and Human Values – R.S. Naagarazan – New Age International (P) Limited, Publishers New Delhi. [R6] Human Values & Professional Ethics- S B Gogate- Vikas publishing house PVT LTD New Delhi. [R7] Mike Martin and Roland Schinzinger, “Ethics in Engineering” McGraw Hill [R8] Charles E Harris, Micheal J Rabins, “Engineering Ethics, Cengage Learning [R9] PSR Murthy, “Indian Culture Values and Professional Ethics”, BS Publications [R10] Caroline Whitback< Ethics in Engineering Practice and Research, Cambridgs University Press [R11] Charles D Fleddermann, “Engineering Ethics”, Prentice Hall. [R12] George Reynolds, “Ethics in Information Technology”, Cengage Learning [R13] C, Sheshadri; The Source book of Value Education, NCERT [R14] M. Shery; Bhartiya Sanskriti, Agra (Dayalbagh)
1. Question No. 1 should be compulsory and cover the entire syllabus. This question should have objective or short answer type questions. It should be of 25 marks. 2. Apart from Question No. 1, rest of the paper shall consist of four units as per the syllabus. Every unit should have two questions. However, student may be asked to attempt only 1 question from each unit. Each question should be of 12.5 marks.
Examining Big Data Types, Structured Data, sources of big structured data, role of relational databases in big data, Unstructured Data, sources of unstructured data, role of a CMS in big data management. [T1][R1][No. of Hrs. 11] UNIT-II Big Data Stack: Redundant Physical Infrastructure, Security Infrastructure, Operational Databases. Organizing Data Services and Tools, Analytical Data Warehouses, Big Data Analytics, Big Data Applications. Virtualization and big data: Server virtualization, Application virtualization, Network virtualization, Processor and memory virtualization, Data and storage virtualization, Managing Virtualization with the Hypervisor. [T1][No. of Hrs. 10] UNIT-III MapReduce Fundamentals, Putting map and reduce Together, Optimizing MapReduce Tasks. Hadoop, Hadoop Distributed File System (HDFS), Name Nodes, Data nodes, Hadoop MapReduce. [T1][T2][R1][No. of Hrs. 11] UNIT-IV Big Data Analytics: Basic analytics, Advanced analytics, Operationalized analytics, Monetizing analytics, Text Analytics and Big Data, Social media analytics, Text Analytics Tools for Big Data, Attensity, Clarabridge, OpenText. Integrating Data Sources: Dealing with Real-time Data Streams and Complex Event Processing, Operationalizing Big Data, Applying Big Data within Your Organization, Security and Governance for Big Data Environments. [T1][No. of Hrs. 11] Text Books: [T1] Judith S. Hurwitz, Alan F. Nugent, Fern Halper, Marcia A. Kaufman, “Big Data For Dummies”, John Wiley & Sons, Inc.(2013) [T2] Robert D. Schneider, “Hadoop For Dummies”, John Wiley & Sons, Inc. (2012)
[R1] Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data, by Paul Zikopoulos,McGraw Hill 2012. SOCIAL NETWORK ANALYSIS Paper Code: ETIT-408 L T/P C Paper: Social Network Analysis 3 0 3 INSTRUCTIONS TO PAPER SETTERS: MAXIMUM MARKS: 75 1. Question No. 1 should be compulsory and cover the entire syllabus. This question should have objective or short answer type questions. It should be of 25 marks. 2. Apart from Question No. 1, rest of the paper shall consist of four units as per the syllabus. Every unit should have two questions. However, student may be asked to attempt only 1 question from each unit. Each question should be of 12.5 marks.
Objective: To introduce the students about knowledge of social network analysis and framework for network analysis. UNIT-I Social network analysis: network definition, manipulation, calculation, visualization. Graph terminology and definitions. Representing networks: Adjacency matrix and properties. Weighted, directed, bipartite networks. Trees. Some sample networks. [T1, R1][No. of Hrs. 10] UNIT-II Linear Algebra / Graph Properties: Eigenvectors and eigenvalues. Graph Laplacian. Markov matrices. Paths, walks, cycles. Degree, density. Degree distribution. Diameter, average path length. Average and local clustering. Centrality measures:degree, betweenness, closeness, Katz, Bonacich. Review of Poisson random graphs. Growing random networks. Preferential attachment. Properties and phase transitions. Degree distributions. Fitting networks to data. Exponential random graph models.
Graph partitioning. Spectral partitioning. Modularity and modularity maximization. Betweenness clustering. Lab: Calculating and comparing clustering approaches. [T1][No. of Hrs. 11] UNIT-IV Game theory basics: players, moves, payoffs. Nash equilibrium. Efficiency and optimality. Examples. Network formation as a game. Pairwise stability. Positive and negative externalities. Processes on Networks: Diffusion on networks. SIS and SIR infection models and predictions. Search on networks. Networked adoption games.
[T1] Jackson, M. O. Social and Economic Networks. Princeton U. Press, 2008. ISBN: 978-0-691-14820-5. Reference Books: [R1] Social Network Analysis (Google eBook), John Scott, SAGE, 2012 SOFT COMPUTING Paper Code: ETIT-410 L T/P C Paper: Soft Computing 3 0 3 INSTRUCTIONS TO PAPER SETTERS: MAXIMUM MARKS: 75 1. Question No. 1 should be compulsory and cover the entire syllabus. This question should have objective or short answer type questions. It should be of 25 marks. 2. Apart from Question No. 1, rest of the paper shall consist of four units as per the syllabus. Every unit should have two questions. However, student may be asked to attempt only 1 question from each unit. Each question should be of 12.5 marks.
Objective: To understand the various concepts of neural networks and fuzzy logic. UNIT-I Neural Networks: History, overview of biological Neuro-system, Mathematical Models of Neurons, ANN architecture, Learning rules, Learning Paradigms-Supervised, unsupervised and reinforcement Learning, ANN training Algorithms-perceptions, Training rules, Delta, Back Propagation Algorithm, Multilayer Perceptron Model, Hopfield Networks, Associative Memories, Applications of Artificial Neural Networks. [T1, T2][No. of Hrs. 11] UNIT-II Fuzzy Logic: Introduction to Fuzzy Logic, Classical and Fuzzy Sets: Overview of Classical Sets, Membership Function, Fuzzy rule generation. Operations on Fuzzy Sets: Compliment, Intersections, Unions, Combinations of Operations, Aggregation, Operations. [T1, T2][No. of Hrs. 11] UNIT-III Fuzzy Arithmetic: Fuzzy Numbers, Linguistic Variables, Arithmetic Operations on Intervals & Numbers, Lattice of Fuzzy Numbers, Fuzzy Equations. Fuzzy Logic: Classical Logic, Multivalued Logics, Fuzzy Propositions, Fuzzy Qualifiers,
Information & Uncertainty, Nonspecificity of Fuzzy & Crisp Sets, Fuzziness of Fuzzy Sets. [T1, T2][No. of Hrs. 11] UNIT-IV Introduction of Neuro-Fuzzy Systems: Architecture of Neuro Fuzzy Networks. Application of Fuzzy Logic: Medicine, Economics etc. Genetic Algorithm: An Overview, GA in problem solving, Implementation of GA. [T1, T2][No of Hrs 11] Text Books: [T1] Hertz J. Krogh, R.G. Palmer, “Introduction to the Theory of Neural Computation”, Addison-Wesley, California, 1991. [T2] G.J. Klir & B. Yuan, “Fuzzy Sets & Fuzzy Logic”, PHI, 1995. [T3] Melanie Mitchell, “An Introduction to Genetic Algorithm”, PHI, 1998. [T4] F. O. Karray and C. de Silva, “Soft computing and Intelligent System Design”, Pearson, 2009. Yüklə 1,11 Mb. Dostları ilə paylaş:
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