Monday, 24 October 2016
Friday, 14 October 2016
Sunday, 9 October 2016
B.E. Computer (Semester VII) VIDEO LECTURES
B.E. Computer (Semester VII)
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Principles of Modern Compiler Design
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Smart System Design and Applications
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Data Mining Techniques
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Pervasive Computing
Saturday, 8 October 2016
410444D Elective-I: Data Mining Techniques and Applications (DMTA) Study material
* DMTA
* Download slides from here
1. Introduction (lecture slides: [PPT] [PDF])
2. Data (lecture slides: [PPT][PDF])
3. Exploring Data (lecture slides: [PPT][PDF])
4. Classification: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: [ PPT][PDF])
5. Classification: Alternative Techniques (lecture slides: [PPT][PDF])
6. Association Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF])
7. Association Analysis: Advanced Concepts (lecture slides: [PPT][PDF])
8. Cluster Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF])
9. Cluster Analysis: Additional Issues and Algorithms (lecture slides: [PPT][PDF])
10. Anomaly Detection (lecture slides: [PPT][PDF])
Friday, 7 October 2016
Computer Engineering BE (SEM I & II ) TB & RB Books
BE : Computer Engineering : Course 2012 ( New Syllabus)
Design and Analysis of Algorithms
1) Fundamentals of Computer Algorithms by Horowitz and Sahani
2) Algorithms and Parallel Computing,by Fayez Gebali, Willy
3) Introduction to the Design and Analysis of Algorithms by Anany Levitin
4) Introduction to Algorithm by Thomas H Cormen and Charles E.L Leiserson,
Principles of Modern Compiler Design
1) Compilers: Principles, Techniques, and Tools by A V Aho, R Sethi, J D Ullman, Pearson Edition
2) Modern Compiler Design by Dick Grune, Bal, Jacobs, Langendoen,
3) Compiler Construction Using Java, JavaCC and Yacc, by Anthony J. Dos Reis
4) Lex and Yacc by J R Levin, T Mason, D Brown, O’Reilly,
Smart System Design and Applications
1) Artificial Intelligence – Building IntelligentSystems by Parag Kulkarni and Prachi Joshi, PHI learning Pvt.
2) Artificial Intelligence by Elaine Rich, Kevin Knight and Nair, TMH
3) Understanding Machine Learning from Theory toalgorithms, by Shai shalev-shwartz, Shai Ben-David:Cambridge University Press,
Elective-I: Image Processing
1) Digital Image Processing for Medical Applications by Geoff Dougherty,Cambridge University Press
2) Digital Image processing by S.Jayaraman, McGraw Hills Publication
3) Fundamentals of Digital Image Processing by S. Annadurai, Pearson publication
4) Handbook of Medical Imaging, Processing and Analysis, Academic Press,
5) Essential Image Processing and GIS for Remote Sensing, Jian Guo LiuPhillippa Mason,
Elective-I: Computer Network Design and Modeling
1) Network Analysis, Architecture, and Design by James D. McCabeMorgan KaufmannPublisher
2) Modeling and Tools for Network Simulation by Wehrle, Klaus, G¨unes, Mesut, Gross, James, Springer,
3) Top Down Network Design by Priscilla Oppenheimer
Elective-I: Advanced Computer Programming
1) Distributed Programming, Theory and Practice by Shankar and A. Udaya
2) Java Complete Reference by Herbert Schidlt
3) Hadoop : The Definitive Guide
Elective-I: Data Mining Techniques and Applications
1) Mining the Web : discovering Knowledge from Hypertext Data by Saumen Charkrobarti
2) Reinforcement and systemic machine learning for decision making by Parag Kulkarni, Wiley.
3) Data mining: Introductory and Advanced topics by M. Dunham, Pearson Education,
Elective-II: Pervasive Computing
1) Ubiquitous Computing, Smart devices, environment and interaction by Stefan Poslad
2) Fundamentalsof Mobile and Pervasive Computing by Frank Adelstein, Sandeep Gupta, Golden Richard III, Loren Schwiebert, Tata McGraw Hills
3) Pervasive Computing, Pearson by Jochen Burkhardt, Horst Henn, Stefan Hepper, Klaus Rindtorff, Thomas Schaeck, 18th Impression,
Elective-II: Embedded Security
1) Platform Embedded Security Technology Revealed, by Xiaoyu Ruan, APress Open,
2) Introduction to Embedded Systems: A Cyber physical SystemsApproach,Edward Lee, Sanjit Seshia,
Elective-II: Multidisciplinary NLP
1) Speech and Language Processing: An Introductionto Natural Language Processing, Computational Linguistics and Speech Recognition. by Jurafsky, David, and James H. Martin.
2) Acoustic Phonetics. Cambridge by Stevens, K. N. MA: MIT Press,
3) Speech Analysis, Synthesis and Perception. by Flanagan, J. L.2nd ed. New York, NY:Springer-Verlag
4) Meaning and Grammar by G. Chirchia and S. McConnell Ginet. MIT Press, 1
1) Software Modeling and Design by HASSAN GOMAA, Cambridge university Press,
2) Design patterns Elements of Reusable Object-Oriented Software by Erich Gamma, Richard Helm,Ralph
3) Software Testing Principals and practices by Srinivasan Desikan
4) The UML Users Guide by Grady Booch,James Rumbaugh,Ivar Jacobson, Pearson Publication
High Performance Computing
1) Advanced Computer Architecture: Parallelism, Scalability, Programmability by Kai Hwang McGraw Hill
2) Parallel Computer Architecture: A hardware/SoftwareApproach by David Culler Jaswinder Pal Singh, Morgan Kaufmann
3) Principles and Practices onInterconnection Networks by William James Dally and Brian Towles
4) Introduction toParallel Computing by Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar
5) Petascale Computing: Algorithms and Applications, by David A. Bader (Ed.),Chapman & Hall/CRC
Elective-III: Mobile Computing
1) Mobile Computing, by Raj Kamal,2/e , Oxford University Press-New Delhi
III: Web Technology
1) Identity Management for Internet of Thing,by Dr. Parikshit Mahalle, Poonam Railkar
2) Getting Started with the Internet of Things by Cuno Pfister, O’Reilly Media
Elective-III: Cloud Computing
1) Cloud computing principles and paradigms by Rajkumar Buyya Wiley
2) Enterprise Cloud Computing, Cambridge by Gautam Shroff,
3) Handbook of Cloud Computing, Springer Publication
4) Mastering Cloud computing by Rajkumar Buyya McGraw Hill
5) Cloud Security and Privacy by Tim Mather, Subra K, Shahid L.,Oreilly,
6) Cloud and virtual data storage networking by Greg Schulr CRC Press
7) Cloud Computing by Barrie Sosinsky Wiley India
8) Cloud Computing: A Practical Approach, by Anthony T. Velte, Tata McGraw Hill,
9) Guide to Cloud Computing: Principals and Practices by Richard Hill, Springer
10) Cloud Computing forDummies by Halper Fern, Kaufman Marcia, Bloor Robin, Hurwit Judith,
Elective-III:Cyber Security
1) Cryptography and Information Security, by V.K. Pachghare, PHI,
Elective-IV (Open Elective): Business Analytic and Intelligence
1) Business Intelligence and Analytics. Systemsfor Decision Support by R. Sharda, D. Delen, & E. Turban
2) Business Process Automation, Sanjay Mohapatra, PHI.
3) Data mining concepts and techniques by Jawai Han, Michelline Kamber, Jiran Pie
4) Building the data Warehouse, William H Inmon, Wiley Publication
5) Data Mining for Business Intelligence, WILEY
6) Analytics: Avalue driven Approach to Business Intelligence and DataWarehousing by Ken W. Collier,Agile Pearson Education
7) MapReduce Design Pattern by Donald Miner, O’Reilly
8) Data Science and Big Data Analytics: Discovering, Analyzing,Visualizing and Presenting Data, by EMC Educational Services, Wiley
Elective-IV (Open Elective): Operations Research for Algorithms in Scientific Applications
1) Operations Research: An Introduction by Hamidy Taha, Pearson,
2) Operations Research by S.D. Sharma, Kedar Nath Ram Nath & Co
3) Probability & Statistics with Reliability Queuing and Computer ScienceApplications, by Kishor Trivedi,PHI,
Elective-IV (Open Elective): Mobile Applications
1) Professional Mobile Application Development by Jeff McWherter, Scott Gowell, John Wiley & Sons,
2) Programming the mobile Web by Maximiliano Firtman,Oreilly
Design and Analysis of Algorithms
1) Fundamentals of Computer Algorithms by Horowitz and Sahani
2) Algorithms and Parallel Computing,by Fayez Gebali, Willy
3) Introduction to the Design and Analysis of Algorithms by Anany Levitin
4) Introduction to Algorithm by Thomas H Cormen and Charles E.L Leiserson,
Principles of Modern Compiler Design
1) Compilers: Principles, Techniques, and Tools by A V Aho, R Sethi, J D Ullman, Pearson Edition
2) Modern Compiler Design by Dick Grune, Bal, Jacobs, Langendoen,
3) Compiler Construction Using Java, JavaCC and Yacc, by Anthony J. Dos Reis
4) Lex and Yacc by J R Levin, T Mason, D Brown, O’Reilly,
Smart System Design and Applications
1) Artificial Intelligence – Building IntelligentSystems by Parag Kulkarni and Prachi Joshi, PHI learning Pvt.
2) Artificial Intelligence by Elaine Rich, Kevin Knight and Nair, TMH
3) Understanding Machine Learning from Theory toalgorithms, by Shai shalev-shwartz, Shai Ben-David:Cambridge University Press,
Elective-I: Image Processing
1) Digital Image Processing for Medical Applications by Geoff Dougherty,Cambridge University Press
2) Digital Image processing by S.Jayaraman, McGraw Hills Publication
3) Fundamentals of Digital Image Processing by S. Annadurai, Pearson publication
4) Handbook of Medical Imaging, Processing and Analysis, Academic Press,
5) Essential Image Processing and GIS for Remote Sensing, Jian Guo LiuPhillippa Mason,
Elective-I: Computer Network Design and Modeling
1) Network Analysis, Architecture, and Design by James D. McCabeMorgan KaufmannPublisher
2) Modeling and Tools for Network Simulation by Wehrle, Klaus, G¨unes, Mesut, Gross, James, Springer,
3) Top Down Network Design by Priscilla Oppenheimer
Elective-I: Advanced Computer Programming
1) Distributed Programming, Theory and Practice by Shankar and A. Udaya
2) Java Complete Reference by Herbert Schidlt
3) Hadoop : The Definitive Guide
Elective-I: Data Mining Techniques and Applications
1) Mining the Web : discovering Knowledge from Hypertext Data by Saumen Charkrobarti
2) Reinforcement and systemic machine learning for decision making by Parag Kulkarni, Wiley.
3) Data mining: Introductory and Advanced topics by M. Dunham, Pearson Education,
Elective-II: Pervasive Computing
1) Ubiquitous Computing, Smart devices, environment and interaction by Stefan Poslad
2) Fundamentalsof Mobile and Pervasive Computing by Frank Adelstein, Sandeep Gupta, Golden Richard III, Loren Schwiebert, Tata McGraw Hills
3) Pervasive Computing, Pearson by Jochen Burkhardt, Horst Henn, Stefan Hepper, Klaus Rindtorff, Thomas Schaeck, 18th Impression,
Elective-II: Embedded Security
1) Platform Embedded Security Technology Revealed, by Xiaoyu Ruan, APress Open,
2) Introduction to Embedded Systems: A Cyber physical SystemsApproach,Edward Lee, Sanjit Seshia,
Elective-II: Multidisciplinary NLP
1) Speech and Language Processing: An Introductionto Natural Language Processing, Computational Linguistics and Speech Recognition. by Jurafsky, David, and James H. Martin.
2) Acoustic Phonetics. Cambridge by Stevens, K. N. MA: MIT Press,
3) Speech Analysis, Synthesis and Perception. by Flanagan, J. L.2nd ed. New York, NY:Springer-Verlag
4) Meaning and Grammar by G. Chirchia and S. McConnell Ginet. MIT Press, 1
Semester-II
Software Design Methodologies and Testing1) Software Modeling and Design by HASSAN GOMAA, Cambridge university Press,
2) Design patterns Elements of Reusable Object-Oriented Software by Erich Gamma, Richard Helm,Ralph
3) Software Testing Principals and practices by Srinivasan Desikan
4) The UML Users Guide by Grady Booch,James Rumbaugh,Ivar Jacobson, Pearson Publication
High Performance Computing
1) Advanced Computer Architecture: Parallelism, Scalability, Programmability by Kai Hwang McGraw Hill
2) Parallel Computer Architecture: A hardware/SoftwareApproach by David Culler Jaswinder Pal Singh, Morgan Kaufmann
3) Principles and Practices onInterconnection Networks by William James Dally and Brian Towles
4) Introduction toParallel Computing by Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar
5) Petascale Computing: Algorithms and Applications, by David A. Bader (Ed.),Chapman & Hall/CRC
Elective-III: Mobile Computing
1) Mobile Computing, by Raj Kamal,2/e , Oxford University Press-New Delhi
III: Web Technology
1) Identity Management for Internet of Thing,by Dr. Parikshit Mahalle, Poonam Railkar
2) Getting Started with the Internet of Things by Cuno Pfister, O’Reilly Media
Elective-III: Cloud Computing
1) Cloud computing principles and paradigms by Rajkumar Buyya Wiley
2) Enterprise Cloud Computing, Cambridge by Gautam Shroff,
3) Handbook of Cloud Computing, Springer Publication
4) Mastering Cloud computing by Rajkumar Buyya McGraw Hill
5) Cloud Security and Privacy by Tim Mather, Subra K, Shahid L.,Oreilly,
6) Cloud and virtual data storage networking by Greg Schulr CRC Press
7) Cloud Computing by Barrie Sosinsky Wiley India
8) Cloud Computing: A Practical Approach, by Anthony T. Velte, Tata McGraw Hill,
9) Guide to Cloud Computing: Principals and Practices by Richard Hill, Springer
10) Cloud Computing forDummies by Halper Fern, Kaufman Marcia, Bloor Robin, Hurwit Judith,
Elective-III:Cyber Security
1) Cryptography and Information Security, by V.K. Pachghare, PHI,
Elective-IV (Open Elective): Business Analytic and Intelligence
1) Business Intelligence and Analytics. Systemsfor Decision Support by R. Sharda, D. Delen, & E. Turban
2) Business Process Automation, Sanjay Mohapatra, PHI.
3) Data mining concepts and techniques by Jawai Han, Michelline Kamber, Jiran Pie
4) Building the data Warehouse, William H Inmon, Wiley Publication
5) Data Mining for Business Intelligence, WILEY
6) Analytics: Avalue driven Approach to Business Intelligence and DataWarehousing by Ken W. Collier,Agile Pearson Education
7) MapReduce Design Pattern by Donald Miner, O’Reilly
8) Data Science and Big Data Analytics: Discovering, Analyzing,Visualizing and Presenting Data, by EMC Educational Services, Wiley
Elective-IV (Open Elective): Operations Research for Algorithms in Scientific Applications
1) Operations Research: An Introduction by Hamidy Taha, Pearson,
2) Operations Research by S.D. Sharma, Kedar Nath Ram Nath & Co
3) Probability & Statistics with Reliability Queuing and Computer ScienceApplications, by Kishor Trivedi,PHI,
Elective-IV (Open Elective): Mobile Applications
1) Professional Mobile Application Development by Jeff McWherter, Scott Gowell, John Wiley & Sons,
2) Programming the mobile Web by Maximiliano Firtman,Oreilly
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