Faculty of Engineering Savitribai Phule Pune University Pune

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Faculty of Engineering Savitribai Phule Pune University Pune. It is with great pleasure and honor that I share the syllabi for Third Year of. Computer Engineering 2015 Course on behalf of Board of Studies Computer. Engineering We members of BOS are giving our best to streamline the processes. and curricula design, While revising syllabus honest and sincere efforts are put to tune Computer. Engineering program syllabus in tandem with the objectives of Higher Education of. India AICTE UGC and affiliated University SPPU by keeping an eye on the. technological advancements and industrial requirements globally. Syllabus revision is materialized with sincere efforts active participation expert. opinions and suggestions from domain professionals Sincere efforts have been put. by members of BOS teachers alumni industry experts in framing the draft with. guidelines and recommendations, For better perception and appropriate applicability the case Studies are included. in majority of courses Course instructor is recommended to discuss appropriate. related recent technology upgrade Case Studies to encourage students to study. from course to the scenario and think through the largest issues recent trends. utility developing real world professional skills, I am sincerely indebted to all the minds and hands who work adroitly to materialize. Dr Varsha H Patil, Coordinator Board of Studies Computer Engineering SPPU Pune. Tuesday March 28 2017, This document contents Program Educational Objectives Program Outcomes.
Program Specific Outcomes page 3 Courses teaching scheme examination. marks and credit page 4 5 Courses syllabi page 6 62 all four year courses. page 63 Course Credit share page 64, Syllabus for Third Year of Computer Engineering 2 64. Faculty of Engineering Savitribai Phule Pune University Pune. Savitribai Phule Pune University Pune,Computer Engineering. Program Educational Objectives, 1 To prepare globally competent graduates having strong fundamentals domain knowledge updated. with modern technology to provide the effective solutions for engineering problems. 2 To prepare the graduates to work as a committed professional with strong professional ethics and. values sense of responsibilities understanding of legal safety health societal cultural and. environmental issues, 3 To prepare committed and motivated graduates with research attitude lifelong learning investigative. approach and multidisciplinary thinking, 4 To prepare the graduates with strong managerial and communication skills to work effectively as.
individual as well as in teams,Program Outcomes,Students are expected to know and be able. 1 To apply knowledge of mathematics science engineering fundamentals problem solving skills. algorithmic analysis and mathematical modeling to the solution of complex engineering problems. 2 To analyze the problem by finding its domain and applying domain specific skills. 3 To understand the design issues of the product software and develop effective solutions with. appropriate consideration for public health and safety cultural societal and environmental. considerations, 4 To find solutions of complex problems by conducting investigations applying suitable techniques. 5 To adapt the usage of modern tools and recent software. 6 To contribute towards the society by understanding the impact of Engineering on global aspect. 7 To understand environment issues and design a sustainable system. 8 To understand and follow professional ethics, 9 To function effectively as an individual and as member or leader in diverse teams and interdisciplinary. 10 To demonstrate effective communication at various levels. 11 To apply the knowledge of Computer Engineering for development of projects and its finance and. management, 12 To keep in touch with current technologies and inculcate the practice of lifelong learning. Program Specific Outcomes PSO, A graduate of the Computer Engineering Program will demonstrate.
PSO1 Professional Skills The ability to understand analyze and develop computer programs in the. areas related to algorithms system software multimedia web design big data analytics and networking. for efficient design of computer based systems of varying. PSO2 Problem Solving Skills The ability to apply standard practices and strategies in software project. development using open ended programming environments to deliver a quality product for business. PSO3 Successful Career and Entrepreneurship The ability to employ modern computer languages. environments and platforms in creating innovative career paths to be an entrepreneur and a zest for. higher studies, Syllabus for Third Year of Computer Engineering 3 64. Faculty of Engineering Savitribai Phule Pune University Pune. Savitribai Phule University of Pune,Third Year Computer Engineering 2015 Course. with effect from 2017 18,Semester I, Course Course Teaching Scheme Examination Scheme and Marks Credit. Code Hours Week, Theory Tutorial Practica In End TW PR OR Total TH PR. l Sem Sem TUT,310241 Theory of 03 30 70 100 03,Computation.
310242 Database 03 30 70 100 03,Management,Systems DBMS. 310243 Software Engineering 03 30 70 100 03,Management. 310244 Information Systems 03 30 70 100 03,Engineering. 310245 Computer Networks 04 30 70 100 04,310246 Skills Development 02 04 50 50 100 02 02. 310247 DBMS Lab 04 25 50 75 02,310248 CN Lab 02 25 50 75 01.
Total Credit,Total 16 02 10 150 350 100 100 50 750 23. 310249 Audit Course 3 Grade,310249 Audit Course 3 AC3 Options. AC3 I Cyber Security AC3 II Professional Ethics and Etiquettes. AC3 III Emotional Intelligence AC3 IV MOOC Learn New Skills. AC3 V Foreign Language Japanese Module 3,Abbreviations. TW Term Work TH Theory OR Oral TUT Tutorial PR Practical Sem Semester. Syllabus for Third Year of Computer Engineering 4 64. Faculty of Engineering Savitribai Phule Pune University Pune. Savitribai Phule University of Pune,Third Year Computer Engineering 2015 Course. with effect from 2017 18,Semester II, Course Course Teaching Scheme Examination Scheme and Marks Credit.
Code Hours Week, Theory Tutorial Practical In End TW PR OR Total TH PR. Sem Sem TUT,310250 Design 04 30 70 100 04,Analysis of. Algorithms,310251 Systems 04 30 70 100 04,Programming. Operating System,310252 Embedded 04 30 70 100 04,Internet of. 310253 Software 03 30 70 100 03,Modeling and,310254 Web Technology 03 30 70 100 03.
310255 Seminar 01 50 50 01,Communication,310256 Web Technology 02 25 50 75 01. 310257 SP OS Lab 04 25 50 75 02,310258 ES IoT Lab 02 50 50 01. Total Credit 19 04,Total 18 01 08 150 350 150 100 750 23. 310259 Audit Course 4 Grade,310259 Audit Course 4 AC4 Options. AC4 I Digital and Social Media Marketing AC4 II Green Computing. AC4 III Sustainable Energy Systems AC4 IV Leadership and Personality Development. AC4 V Foreign Language Japanese Module 4,Abbreviations.
TW Term Work TH Theory OR Oral TUT Tutorial PR Practical Sem Semester. Syllabus for Third Year of Computer Engineering 5 64. Faculty of Engineering Savitribai Phule Pune University Pune. SEMESTER I, Syllabus for Third Year of Computer Engineering 6 64. Faculty of Engineering Savitribai Phule Pune University Pune. Savitribai Phule Pune University,Third Year of Computer Engineering 2015 Course. 310241 Theory of Computation,Examination Scheme,Teaching Scheme Credit. In Sem Paper 30 Marks,TH 03 Hours Week 03,End Sem Paper 70 Marks. Prerequisite Courses Discrete Mathematics 210241 Principles of Programming Languages. Course Objectives,To Study abstract computing models.
To learn Grammar and Turing Machine, To learn about the theory of computability and complexity. Course Outcomes, On completion of the course student will be able to. Able to design deterministic Turing machine for all inputs and all outputs. Able to subdivide problem space based on input subdivision using constraints. Able to apply linguistic theory,Course Contents, Unit I Formal Language Theory and Finite Automata 08 Hours. Introduction to Formal language introduction to language translation logic Essentials of. translation Alphabets and languages Finite representation of language Finite Automata FA An. Informal Picture of FA Finite State Machine FSM Language accepted by FA Definition of. Regular Language Deterministic and Nondeterministic FA DFA and NFA epsilon NFA FA. with output Moore and Mealy machines Definition models inter conversion. Case Study FSM for vending machine spell checker,Unit II Regular Expressions RE 07 Hours. Operators of RE Building RE Precedence of operators Algebraic laws for RE Conversions NFA. to DFA RE to DFA Conversions RE to DFA DFA to RE Conversions State loop elimination. Arden s theorem Properties of Regular Languages Pumping Lemma for Regular languages. Closure and Decision properties,Case Study RE in text search and replace.
Unit III Context Free Grammars CFG and Languages 08 Hours. Introduction Regular Grammar Context Free Grammar Definition Derivation Language of. grammar sentential form parse tree inference derivation parse trees ambiguity in grammar and. Language ambiguous Grammar Simplification of CFG Eliminating unit productions useless. production useless symbols and productions Normal Forms Chomsky normal form. Greibach normal form Closure properties of CFL Decision properties of CFL Chomsky. Hierarchy Application of CFG Parser Markup languages XML and Document Type. Definitions,Case Study CFG for Palindromes Parenthesis Match. Unit IV Turing Machines TM 08 Hours, Syllabus for Third Year of Computer Engineering 7 64. Faculty of Engineering Savitribai Phule Pune University Pune. Turing Machine Model Representation of Turing Machines Language Acceptability by Turing. Machines Design of TM Description of TM Techniques for TM Construction Variants of Turing. Machines The Model of Linear Bounded Automata TM Type 0 grammars TM s Halting. Unit V Pushdown Automata PDA 07 Hours, Basic Definitions Equivalence of Acceptance by Finite State Empty stack PDA Context Free. Language Equivalence of PDA and CFG Parsing PDA Top Down Parsing Top down Parsing. Using Deterministic PDA Bottom up Parsing Closure properties and Deterministic PDA. Unit VI Undecidability Intractable Problems 07 Hours. A Language that is not recursively enumerable An un decidable problem that is RE Post. Correspondence Problem The Classes P and NP Problems Solvable in Polynomial Time An. Example Kruskal s Algorithm Nondeterministic Polynomial Time An NP Example The. Traveling Salesman Problem Polynomial Time Reductions NP Complete Problems An NP. Complete Problem The Satisfiability Problem Tractable and Intractable Representing SAT. Instances NP Completeness of the SAT Problem A Restricted Satisfiability Problem Normal. Forms for Boolean Expressions Converting Expressions to CNF The Problem of Independent. Sets The Node Cover Problem, 1 John E Hopcroft Rajeev Motwani Jeffrey D Ullman Introduction to Automata Theory. Languages and Computation Addison Wesley ISBN 0 201 44124 1. 2 H L Lewis Christos H Papadimitriou,Elements of the Theory of Computation Prentice.
Hall ISBN 10 0132624788 ISBN 13 978 0132624787,References. 1 John Martin Introduction to Languages of The Theory of Computation 2nd Edition Mc. Graw Hill Education ISBN 13 978 1 25 900558 9 ISBN 10 1 25 900558 5. 2 Sanjeev Arora and Boaz Barak Computational Complexity A Modern Approach. Cambridge University Pre ss ISBN 0521424267 9780521424264. 3 Daniel Cohen Introduction to Computer Theory Wiley Sons ISBN 9788126513345. 4 J Carroll D Long Theory of Finite Automata Prentice Hall ISBN 0 13 913708 4. 5 Kavi Mahesh Theory of Computation A Problem Solving Approach Wiley India. ISBN10 8126533110, 6 Michael Sipser Introduction to the Theory of Computation Cengage Learning ISBN 13. 9781133187813, 7 Vivek Kulkarni Theory of Computation Oxford University Press ISBN 0 19 808458. Syllabus for Third Year of Computer Engineering 8 64. Faculty of Engineering Savitribai Phule Pune University Pune. Savitribai Phule Pune University,Third Year of Computer Engineering 2015 Course. 310242 Database Management Systems,Teaching Scheme Credit Examination Scheme.
TH 03 Hours Week 03 In Sem Paper 30 Marks,End Sem paper 70 Marks. Prerequisites Courses Discrete Mathematics 210241 Data Structures 210243 210252. Companion Course Database Management System Lab 310247. Course Objectives, To understand the fundamental concepts of database management These concepts. include aspects of database design database languages and database system. implementation, To provide a strong formal foundation in database concepts technology and practice. To give systematic database design approaches covering conceptual design logical. design and an overview of physical design, Be familiar with the basic issues of transaction processing and concurrency control. To learn and understand various Database Architectures and Applications. To learn a powerful flexible and scalable general purpose database to handle big data. Course Outcomes, On completion of the course student will be able to.
Design E R Model for given requirements and convert the same into database tables. Use database techniques such as SQL PL SQL,Use modern database techniques such as NOSQL. Cambridge University Pre ss Theory of Computation Faculty of Engineering Savitribai Phule Pune University Pune

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