RGPV 3rd Sem CSE Syllabus | Computer Science & Engineering Syllabus RGPV B.Tech.
The Rajiv Gandhi Prodhoyogiki Vishavdhyalaya i.e RGPV now disclose the new scheme for 2nd year students who are admitted into the RGPV University as well as their affiliated institutes. The new scheme name is Credit Based Grading System (CBGS); under these scheme the university will give BTech degree to all 2nd year admitted students. It is very good news for all students and as we also known as the RGPV is one the largest government technical university of MP. More than 1 lacks candidates get Graduation as well as master degree from that university.
In this article we are going to share RGPV CBGS 3rd Sem CSE Syllabus for 2nd year students. In the RGPV CBGS 3rd sem there are 7-8 subjects in Computer Science & Engineering branch i.e. Energy, Environment, Ecology & Society, Electronic Devices & Circuits, Digital Circuit & Design, Data Structures-II, Discrete Structures, Computer Programming-I (Java Technologies), Rural Outreach (Internal Assessment) and NSS/NCC/Social
Work (Internal Assessment).
Click to
go >>>
|
|
Download RGPV CBGS
|
|
- ES301 Energy & Environmental Engineering
- CS302 Discrete Structure
- CS303 DATA STRUCTURES
- CS304 Digital Systems
- CS305 OBJECT ORIENTED PROGRAMMING SYSTEMS
RGPV CBGS 3rd Sem CSE Syllabus
ES301 Energy & Environmental Engineering - Computer Scinece Syllabus
Module 1: Introduction to Energy Science:
Introduction to energy
systems and resources; Introduction to Energy, sustainability & the
environment; Overview of energy systems, sources, transformations, efficiency,
and storage; Fossil fuels (coal, oil, oil-bearing shale and sands, coal
gasification) - past, present & future, Remedies & alternatives for
fossil fuels - biomass, wind, solar, nuclear, wave, tidal and hydrogen;
Sustainability and environmental trade-offs of different energy systems; possibilities
for energy storage or regeneration (Ex. Pumped storage hydro power projects,
superconductor-based energy storages, high efficiency batteries)
Module2: Ecosystems
• Concept of an ecosystem; Structure and function of an
ecosystem; Producers, consumers and decomposers; Energy flow in the ecosystem;
Ecological succession;
Food chains, food webs
and ecological pyramids; Introduction, types, characteristic features,
structure and function of the following ecosystem (a.)Forest ecosystem (b)
Grassland ecosystem (c) Desert ecosystem (d) Aquatic ecosystems (ponds,
streams, lakes, rivers, oceans, estuaries)
Module 3: Biodiversity and its conservation
• Introduction – Definition:
genetic, species and
ecosystem diversity; Bio-
geographical
classification of India; Value of biodiversity: consumptive use, productive
use, social, ethical, aesthetic and option values; Biodiversity at global,
National and local levels; India as a mega-diversity nation; Hot-sports of
biodiversity; Threats to biodiversity: habitat loss, poaching of wildlife,
man-wildlife conflicts; Endangered and endemic species of India; Conservation
of biodiversity: In-situ and Ex-situ conservation of biodiversity.
Module 4: Environmental Pollution
• Definition, Cause, effects and control measures of Air
pollution, Water pollution, Soil pollution, Marine pollution, Noise pollution,
Thermal pollution, Nuclear hazards; Solid waste Management: Causes, effects and
control measures of urban and industrial wastes; Role of an individual in
prevention of pollution; Pollution case studies; Disaster management: floods,
earthquake, cyclone and landslides.
Module 5: Social Issues and the Environment
• From Unsustainable to Sustainable development; Urban
problems related to energy; Water conservation, rain water harvesting,
watershed management; Resettlement and rehabilitation of people; its problems
and concerns. Case Studies
Environmental ethics: Issues
and possible solutions. Climate change, global warming, acid rain, ozone layer
depletion, nuclear accidents and holocaust. Case Studies Wasteland reclamation;
Consumerism and waste products; Environment Protection Act; Air (Prevention and
Control of Pollution) Act; Water
(Prevention and control
of Pollution) Act; Wildlife Protection Act; Forest Conservation Act; Issues
involved in enforcement of environmental legislation; Public awareness.
Module 6: Field work
• Visit to a local area to document environmental
assets-river/forest/grassland/hill/mountain
• Visit to a local polluted
site-Urban/Rural/Industrial/Agricultural
• Study of common plants, insects, birds.
• Study of simple ecosystems-pond, river, hill slopes, etc.
REFERENCE
1. Brunner R.C., 1989, Hazardous Waste
Incineration, McGraw Hill Inc.
2. Clark R.S., Marine Pollution,
Clanderson Press Oxford (TB).
3. Cunningham, W.P. Cooper, T.H. Gorhani,
E & Hepworth, M.T. 2001, Environmental Encyclopedia, Jaico Publ. House,
Mumabai,
4. De A.K., Environmental Chemistry, Wiley
Eastern Ltd.
5. Trivedi R.K., Handbook of Environmental
Laws, Rules Guidelines, Compliances and Standards’, Vol I and II, Enviro Media
(R)
6. Boyle, Godfrey, Bob Everett, and Janet
Ramage (Eds.) (2004), Energy Systems and Sustainability: Power for a
Sustainable Future. Oxford University Press.
7. Schaeffer, John (2007), Real Goods
Solar Living Sourcebook: The Complete Guide to Renewable Energy Technologies
and Sustainable Living, Gaiam
CS302 Discrete Structure - Computer Scinece Syllabus
Set Theory, Relation,
Function, Theorem Proving Techniques : Set Theory: Definition of sets,
countable and uncountable sets, Venn Diagrams, proofs of some general
identities on sets Relation: Definition, types of relation, composition of
relations, Pictorial representation of relation, Equivalence relation, Partial
ordering relation, Job-Scheduling problem Function: Definition, type of
functions, one to one, into and onto function, inverse function, composition of
functions, recursively defined functions, pigeonhole principle. Theorem proving
Techniques: Mathematical induction, Proof by contradiction.
Algebraic Structures:
Definition, Properties, types: Semi Groups, Monoid, Groups, Abelian group,
properties of groups,
Subgroup, cyclic groups, Cosets, factor group, Permutation groups, Normal
subgroup, Homomorphism
and isomorphism of Groups, example and standard results, Rings and Fields:
definition and standard results.
Propositional Logic:
Proposition, First order logic, Basic logical operation, truth tables,
tautologies, Contradictions, Algebra of Proposition, logical implications,
logical equivalence, predicates, Normal Forms, Universal and existential
quantifiers. Introduction to finite state machine Finite state machines as
models of physical system equivalence machines, Finite state machines as
language recognizers
Graph Theory:
Introduction and basic terminology of graphs, Planer graphs, Multigraphs and
weighted
graphs, Isomorphic
graphs, Paths, Cycles and connectivity, Shortest path in weighted graph,
Introduction to Eulerian paths and circuits, Hamiltonian paths and circuits,
Graph coloring, chromatic
number, Isomorphism and
Homomorphism of graphs.
Posets, Hasse Diagram
and Lattices: Introduction, ordered set, Hasse diagram of partially, ordered
set,
isomorphic ordered set,
well ordered set, properties of Lattices, bounded and complemented lattices.
Combinatorics:
Introduction, Permutation and combination, Binomial Theorem, Multimonial
Coefficients Recurrence Relation and Generating Function: Introduction to
Recurrence Relation and Recursive algorithms , Linear recurrence relations with
constant coefficients, Homogeneous solutions, Particular solutions, Total
solutions , Generating functions , Solution by method of generating functions.
Outcome:-After this
completion student will be familiar with relational algebra,Functions and graph
theory.
References:
1. C.L.Liu, “Elements of Discrete
Mathematics” Tata Mc Graw-Hill Edition.
2. Trembley, J.P & Manohar; “Discrete
Mathematical Structure with Application CS”, McGraw Hill.
3. Kenneth H. Rosen, “Discrete Mathematics
and its applications”, McGraw Hill.
4. Bisht, “Discrete Mathematics”,Oxford
University Press
5. Biswal,”Discrete Mathematics &
Graph Theory”, PHI
CS303 DATA STRUCTURES - Computer Scinece Syllabus
CS303 DATA STRUCTURES
1. Review of C programming
language.Introduction to Data Structure: Concepts of Data and Information,
Classification of Data structures, Abstract Data Types, Implementation aspects:
Memory representation. Data structures operations and its cost estimation.
Introduction to linear data structures- Arrays, Linked List: Representation of
linked list in memory, different implementation of linked list. Circular linked
list, doubly linked list, etc. Application of linked list: polynomial
manipulation using linked list, etc.
2. Stacks: Stacks as ADT, Different
implementation of stack, multiple stacks.
Application of Stack:
Conversion of infix to postfix notation using stack,
evaluation of postfix
expression, Recursion. Queues: Queues as ADT, Different implementation of
queue, Circular queue, Concept of Dqueue and Priority Queue, Queue simulation,
Application of queues.
3. Tree: Definitions - Height, depth,
order, degree etc. Binary Search Tree - Operations, Traversal, Search. AVL
Tree, Heap, Applications and comparison of various types of tree; Introduction
to forest, multi-way Tree, B tree, B+ tree, B* tree and red-black tree.
4. Graphs: Introduction, Classification of
graph: Directed and Undirected graphs,
etc, Representation,
Graph Traversal: Depth First Search (DFS), Breadth First
Search (BFS), Graph
algorithm: Minimum Spanning Tree (MST)- Kruskal, Prim’s algorithms. Dijkstra’s
shortest path algorithm; Comparison between different graph algorithms.
Application of graphs.
5. Sorting: Introduction, Sort methods
like: Bubble Sort, Quick sort. Selection sort, Heap sort, Insertion sort, Shell
sort, Merge sort and Radix sort; comparison of various sorting techniques.
Searching: Basic Search Techniques: Sequential search, Binary search,
Comparison of search methods. Hashing & Indexing. Case Study: Application
of various data structures in operating system, DBMS etc.
Text Books
1. AM Tanenbaum, Y Langsam& MJ
Augustein, “Data structure using C and C++”, Prentice Hall India.
2. Robert Kruse, Bruse Leung, “Data
structures & Program Design in C”, Pearson Education.
Reference Books
1. Aho, Hopcroft, Ullman, “Data Structures
and Algorithms”, Pearson Education.
2. N. Wirth, “Algorithms + Data Structure
= Programs”, Prentice Hall.
3. Jean – Paul Trembly , Paul Sorenson,
“An Introduction to Structure with application”, TMH.
4. Richard, GilbergBehrouz, Forouzan
,“Data structure – A Pseudocode Approach with C”, Thomson press.
CS304 Digital Systems - Computer Scinece Syllabus
Unit 1: Review of number
systems and number base conversions. Binary codes, Boolean algebra, Boolean
functions, Logic gates. Simplification of Boolean functions, Karnaugh map
methods, SOP-POS simplification, NAND-NOR implementation.
Unit 2: Combinational
Logic: Half adder, Half subtractor, Full adder, Full subtractor, look- ahead
carry generator,BCD adder, Series and parallel addition, Multiplexer –
demultiplexer, encoder- decoder, arithmetic circuits, ALU
Unit 3 : Sequential
logic: flip flops, D,T, S-R, J-K Master- Slave, racing condition, Edge &
Level triggered circuits, Shift registers, Asynchronous and synchronous
counters, their types and state diagrams. Semiconductor memories, Introduction
to digital ICs 2716, 2732 etc. & their address decoding. Modern trends in
semiconductor memories such as DRAM, FLASH RAM etc. Designing with ROM and PLA.
Unit 4 : Introduction to A/D & D/A
convertors & their types, sample and
hold
circuits, Voltage to
Frequency & Frequency to Voltage conversion. Multivibrators
:Bistable, Monostable,
Astable, Schmitt trigger, IC 555 & Its applications. TTL, PMOS,
CMOS and NMOS logic.
Interfacing between TTL to MOS.
Unit 5 : Introduction to
Digital Communication: Nyquist sampling theorem, time division multiplexing,
PCM, quantization error, introduction to BPSK & BFSK modulation schemes.
Shannon’s theorem for channel capacity.
References:
1. Morris Mano, Digital Circuits &
Logic Design, PHI
2. Gothman, Digital Electronics, PHI
3. Tocci, Digital Electronics, PHI
4. Mavino& Leach, Digital Principles
& Applications, PHI
5. Taub and schilling, Digital Integrated
electronics.
6. Simon Haykin, Introductionto
Analog& Digital Communication, Wiley.
7. Lathi B.P., Modern analog& digital
communication , Oxford University.
List of Experiments:
1. To study and verify the truth tables of
various Logic gates
2. To verify the properties of NAND and
NOR gates as Universal Building Blocks.
3. Simplification and implementation of a
Boolean function
4. Implementation of basic Boolean
arithmetic logic circuits such as Half-adder, Half-subtractor, Full adder and
Full subtractor
5. Conversion from Binary to Gray and Gray
to Binary code
6. To construct a binary multiplier using
combinational logic and to verify with the truth table
7. To verify 2-bit Magnitude comparator
for all possible conditions
8. Generation of various logical functions
using 8-to-1 multiplexer
9. Construction of a 4-bit ripple counter
and study of its operation
10. Operation of IC-555 Timer as Monostable,
Astable and Bistablemultivibrators
11. To characterize binary ladder type
digital to analog (D/A) and analog to digital (A/D) convertor
12. Comparison of various Logic families
13. Design and implementation of various
types of flip-flops using JK flip-flop
14. To study natural sampling of continuous
time waveforms using different sampling rates
15. To study Pulse-Code modulation with
Time-division multiplexing (PCM-TDM)
16. To study generation and detection of BPSK
and QPSK waveforms
CS305 OBJECT ORIENTED PROGRAMMING SYSTEMS - Computer Scinece Syllabus
1. Introduction to Object Oriented
Thinking & Object Oriented Programming: Comparison with Procedural
Programming, features of Object oriented paradigm– Merits and demerits of OO
methodology; Object model; Elements of OOPS, IO processing.
2. Encapsulation and Data Abstraction-
Concept of Objects: State, Behavior &
Identity of an object;
Classes: identifying classes and candidates for Classes Attributes and
Services, Access modifiers, Static members of a Class, Instances, Message
passing, and Construction and destruction of Objects.
3. Relationships – Inheritance: purpose
and its types, ‘is a’ relationship; Association, Aggregation. Concept of
interfaces and Abstract classes.
4. Polymorphism: Introduction, Method
Overriding & Overloading, static and run time Polymorphism.
5. Strings, Exceptional handling,
Introduction of Multi-threading and Data collections. Case study like: ATM,
Library management system.
Text Books
1. Timothy Budd, “An Introduction to
Object-Oriented Programming”, Addison-Wesley Publication, 3rd Edition.
2. Cay S. Horstmann and Gary Cornell,
“Core Java: Volume I, Fundamentals”, Prentice Hall publication.
Reference Books
1. G. Booch, “Object Oriented Analysis&
Design”, Addison Wesley.
2. James Martin, “Principles of Object
Oriented Analysis and Design”, Prentice Hall/PTR.
3. Peter Coad and Edward Yourdon, “Object
Oriented Design”, Prentice Hall/PTR.
4. Herbert Schildt, “Java 2: The Complete
Reference”, McGraw-Hill Osborne Media,
7th Edition.
Download CSE 3rd Sem syllabus BTech
RAJIV
GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL
Credit
Based Grading System
Computer
Science & Engineering, III-Semester
BE-3001
Mathematics-III (Syllabus for CS, IT, & EC Branches )
COURSE
OBJECTIVE- The objective of this course is to fulfill the needs of Engineers to
understand the Applications of Fourier Series, Fourier & Laplace Transforms
and Statistical Techniques in order to acquire Mathematical knowledge and to
Solving a wide range of Practical Problems Appearing in the CS/IT/EC discipline
of Engineering.
Course Contents
Fourier
Series: Fourier Series for Continuous & Discontinuous Functions, Expansion
of odd and even periodic functions, Half-range Fourier series, Complex form of
Fourier Series.
Integral Transforms:
Fourier
Transform: Complex Fourier Transform, Fourier Sine and Cosine Transforms,
Applications of Fourier Transform in Solving the Ordinary Differential
Equation.
Laplace
Transform: Introduction of Laplace Transform, Laplace Transform of elementary
Functions, Properties of Laplace Transform, Change of Scale Property, First and
Second Shifting Properties, Laplace Transform of Derivatives and Integrals.
Inverse Laplace Transform & its Properties, Convolution theorem,
Applications of Laplace Transform in solving the Ordinary Differential
Equations.
RGPV CBGS 3rd Sem CSE Syllabus RGPV CBGS 2nd year Scheme
Random
Variables: Discrete and Continuous Random Variables, Probability Function,
Distribution Function, Density Function, Probability Distributions, Mean and
Variance of Random Variables.
Distribution:
Discrete Distributions- Binomial & Poisson Distributions with their
Constants, Moment Generating Functions, Continuous Distribution- Normal
Distribution, Properties, Constants, Moments.
Curve
Fitting using Least Square Method.
COURSE
OUTCOMES- The curriculum of the Department is designed to satisfy the diverse
needs of students. Coursework is designed to provide students the opportunity
to learn key concept of Applications of Fourier Series, Fourier & Laplace
Transforms and Statistical Techniques.
EVALUATION-
Evaluation will be continuous, an integral part of the class as well as through
external assessment.
Reference:
1. Probability & Statistics by G
Shanker Rao, University Press.
2. Mathematical Statistics by George R.,
Springer
3. Erwin Kreyszig: Advanced Engineering
Mathematics, Wiley India.
4. H C Taneja: Advanced Engineering
Mathematics, I.K. International Publishing House Pvt. Ltd.
5. S S Sastri: Engineering Mathematics,
PHI
6. Ramana, B.V.: Advance Engg. Mathematics, TMH New Delhi
7. Engineering Mathematics By Samnta Pal
and Bhutia, Oxford Publication
8. Probability and Statistics in
Engineering, W.W. Hines et. al., Wiley India PVT Ltd.
RAJIV
GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL
Credit
Based Grading System
Computer
Science and Engg, III-Semester
CS-3002
Electronic Devices & Circuits
CSE
(III Sem) Electronic Device &
Circuits
Course Contents
Semiconductor
devices, theory of P-N junction, temperature dependence and break down characteristics,
junction capacitances. Zener diode, Varactor diode, PIN diode, LED, Photo
diode, Transistors BJT, FET, MOSFET, types, working principal, characteristics,
and region of operation, load line biasing method. Transistor as an amplifier,
gain, bandwidth, frequency response, Type of amplifier.
Feedback
amplifier, negative feedback, voltage-series, voltage shunt, current series and
current shunt feedback, Sinusoidal oscillators, L-C (Hartley-Colpitts)
oscillators, RC phase shift, Wien bridge, and Crystal oscillators. Power
amplifiers, class A, class B, class A B, C amplifiers, their efficiency and
power Dissipation.
Switching
characteristics of diode and transistor turn ON, OFF time, reverse recovery
time, transistor as switch, Multivibrators, Bistable, Monostable, Astable
multivibarators. Clippers and clampers, Differential amplifier, calculation of
differential, common mode gain and CMRR using hparameters.
Operational
amplifier characteristics, slew rate, full power bandwidth, offset voltage, bias
current, application ,inverting , non inverting amplifier , summer,
differentiator, integrator, differential amplifier , instrumentation amplifier,
log and antilog amplifier , voltage to current and current to voltage
converters , comparators Schmitt trigger .
Introduction
to IC, Advantages and limitations, IC classification, production process of
monolithic IC, fabrication of components on monolithic IC, IC packing, general
integrated circuit technology, photolithographic process, un polar IC’s, IC
symbols.
References:
1. Milliman Hallkias - Integrated
Electronics; TMH Pub.
2. Gayakwad; OP-amp and linear Integrated
Circuits; Pearson Education
3. Salivahanan; Electronic devices and
circuits; TMH
4. Robert Boylestad & Nashetsky;
Electronics Devices and circuit Theory; Pearson Ed.
5. Salivahanan; Linear Integrated
Circuits; TMH
6. Miliman Grabel; Micro electronics, TMH
List of Experiments:
1. Diode and Transistor characteristics
2. Transistor Applications (Amplifier and switching)
3. OP-Amp and its Applications
4. 555 timer and its Applications
RAJIV
GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL
Credit
Based Grading System
Computer
Science and Engg, III-Semester
CS-3003
Digital Circuit & Design
PREREQUISITE:
Electronic Device & Circuits (Transistors, Capacitors, Inductors,), other
Hardwares.
OBJECTIVES
To
expose the students to perform binary arithmetic and conversion from one number
system to another and learn different Boolean simplification techniques. We
learn the design and analysis of combinational and sequential circuits.
Course Contents
Number
systems & codes, Binary arithmetic, Boolean algebra and switching function.
Minimization of switching function, Concept of prime implicant, Karnaugh map
method, Quine McCluskey’s method,Cases with don’t care terms, Multiple output
switching function.
Introduction
to logic gates, Universal gate, Half adder,Half subtractor, Full adder, Full
subtractor circuits, Series & parallel addition, BCD adders, Look-ahead
carry generator.
Linear
wave shaping circuits, Bistable, Monostable & Astable multivibrator,
Schmitt Trigger circuits & Schmitt-Nand
gates. Logic families:RTL, DTL, All types of TTL circuits, ECL, I2L, PMOS,
NMOS, & CMOS logic, Gated
flip- flops and gated multivibrator, Interfacing between TTL to MOS.
Decoders,
Encoders, Multiplexers, Demultiplexers, Introduction to various semiconductor
memories, & designing with ROM and PLA. Introduction to Shift Registers,
Counters, Synchronous & Asynchronous counters, Designing of combinational
circuits like code converters.
Introduction
of Analog to Digital & Digital to Analog converters, sample & hold
circuits and V-F converters.
OUTCOMES:
Upon completion of the course, the students will be able to Perform
Simplification of Boolean Functions using Theorems and Karnaugh Maps and
Convert between digital codes using encoder/decoder .Student can analyze
combinational circuits and sequential circuits .
References:
1.M.
Mano; “ Digital Logic & Computer Design”; Pearson 2.Malvino Leach; “Digital
Principles & Applications”;TMH 3.Millman & Taub; “Pulse Digital &
Switching Waveforms”;TMH
4. W.H Gothman; “Digital Electronics”;PHI
5. R.P.Jain “Modern Digital Electronics”
TMH
List of Experiments :
1.To study and test
operation of all logic gates for various IC’s )IC#7400, IC#7403, IC#7408,
IC#7432, IC#7486)
2.Verification of
DeMorgan’s Theorem.
3.To construct half adder
and full adder.
4.To construct half
subtractor and full subtractor circuits.
5.Verification of versatility of NAND gate.
6. Verification of versatility of NOR gate.
7. Designing and verification of property of full adder.
8.Design a BCD to excess-3 code convertor. 9.Design a Multiplexer/Demultiplexer
RAJIV
GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL
Credit
Based Grading System
Computer
Science and Engg, III-Semester
CS-3004
Data Structures-II
Objectives
Data
structures play a central role in modern computer science. In addition, data
structures are essential building blocks in obtaining efficient algorithms. The
objective of the course is to teach students how to design, write, and analyze
the performance of programs that handle structured data and perform more
complex tasks, typical of larger software projects. Students should acquire
skills in using generic principles for data representation & manipulation
with a view for efficiency, maintainability, and code-reuse. Another goal of
the course is to teach advance data structures concepts, which allow one to
store collections of data with fast updates and queries.
Course Contents
Introduction
–Common operations on data structures, Types of data structures, Data
structures & Programming, Program Design, Complexities, Time Complexity,
order of Growth, Asymptotic Notation.
Advanced
Data Structures-Hash tables ,Heaps , Complexity , Analysis of Heap Operations ,
Application of Heap , AVL tress , Insertion & Deletion in AVL tree , Red
Black Trees , Properties of Red Black trees ,Insertion & Deletion in Red
Black tree .
Sorting
–Need for sorting , Types of sorting algorithm-Stable sorting Algorithm,
Internal & External sorting algorithm , Outline and offline algorithm
,Sorting Techniques-Insertion , Shell , Selection , Merge ,Quick sort, Radix
sort ,bucket sort .
Augmenting
Data structures – Augmenting a red black trees, Retrieving an element with a
given rank , Determining the rank of element ,Data structure Maintenance ,An
augmentation strategy ,Interval Trees.
File
structures- Basic file operations, File organization –Sequential file
organization, Indexed sequential file organization, Direct file organization.
External merge sort, Multiway Merge sort, Tournament Tree ,Replacement
Selection .
REFERENCES:
1. Horowitz and Sahani, “Fundamentals of
data Structures”,University Press
2. Trembley and Sorenson , “Data
Structures”, TMH Publications
3..A.
M. Tenenbaum, “Data Structures using C & C++”, Pearson Pub
4. Venkatesan , Rose, “Data Structures”
Wiley India Pvt.Ltd
5. Pai; Data structure and algorithm , TMH
Publications
6. T.H.Coreman,”Introduction to
algorithm”,PHI.
RAJIV
GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL
Credit
Based Grading System
Computer
Science and Engg, III-Semester
CS-3005
Discrete Structures
Objective-This
course introduces the applications of discrete mathematics in the field of
computer science. It covers sets, logic, proving techniques, combinatorics,
functions, relations, Graph theory and algebraic structures. These basic
concepts of sets, logic functions and graph theory are applied to Boolean
Algebra and logic networks while the advanced concepts of functions and
algebraic structures are applied to finite state machines and coding theory.
Course Contents
Set
Theory, Relation, Function, Theorem Proving Techniques : Set Theory: Definition
of sets, countable and uncountable sets, Venn Diagrams, proofs of some general
identities on sets Relation: Definition, types of relation, composition of relations,
Pictorial representation of relation, Equivalence relation, Partial ordering
relation, Job-Scheduling problem Function: Definition, type of functions, one
to one, into and onto function, inverse function, composition of functions,
recursively defined functions, pigeonhole principle. Theorem proving
Techniques: Mathematical induction, Proof by contradiction.
Algebraic
Structures: Definition, Properties, types: Semi Groups, Monoid, Groups, Abelian
group, properties of groups, Subgroup, cyclic groups, Cosets, factor group,
Permutation groups, Normal subgroup, Homomorphism and isomorphism of Groups,
example and standard results, Rings and Fields: definition and standard
results.
Propositional
Logic: Proposition, First order logic, Basic logical operation, truth tables,
tautologies, Contradictions, Algebra of Proposition, logical implications,
logical equivalence, predicates, Normal Forms, Universal and existential
quantifiers. Introduction to finite state machine Finite state machines as
models of physical system equivalence machines, Finite state machines as
language recognizers
Graph
Theory: Introduction and basic terminology of graphs, Planer graphs,
Multigraphs and weighted graphs, Isomorphic graphs, Paths, Cycles and
connectivity, Shortest path in weighted graph, Introduction to Eulerian paths
and circuits, Hamiltonian paths and circuits, Graph coloring, chromatic number,
Isomorphism and Homomorphism of graphs.
Posets,
Hasse Diagram and Lattices: Introduction, ordered set, Hasse diagram of
partially, ordered set, isomorphic ordered set, well ordered set, properties of
Lattices, bounded and complemented lattices. Combinatorics: Introduction,
Permutation and combination, Binomial Theorem, Multimonial Coefficients
Recurrence Relation and Generating Function: Introduction to Recurrence
Relation and Recursive algorithms , Linear recurrence relations with constant
coefficients, Homogeneous solutions, Particular solutions, Total solutions ,
Generating functions , Solution by method of generating functions.
Outcome:-After
this completion student will be familiar with relational algebra,Functions and
graph theory.
References:
1. C.L.Liu, “Elements of Discrete
Mathematics” Tata Mc Graw-Hill Edition.
2. Trembley, J.P & Manohar; “Discrete Mathematical
Structure with Application CS”, McGraw Hill.
3. Kenneth H. Rosen, “Discrete Mathematics
and its applications”, McGraw Hill.
4. Bisht, “Discrete Mathematics”,Oxford
University Press
5. Biswal,”Discrete Mathematics &
Graph Theory”, PHI
RAJIV
GANDHI PROUDYOGIKI VISHWAVIDYALAYA, BHOPAL
Credit
Based Grading System
Computer
Science and Engg, III-Semester
CS-3006
Computer Programming-I (Java Technologies)
Objective:
To introduce and understand students to programming concepts and techniques
using the Java language and programming environment, class, objects , also
learn about lifetime, scope and the initialization mechanism of variables and
improve the ability general problem solving abilities in programming. Be able
to use the Java SDK environment to create, debug and run simple Java program.
Basic
Java Features - C++ Vs JAVA, JAVA virtual machine, Constant & Variables,
Data Types, Class, Methods,Objects, Strings and Arrays, Type Casting, Operators,
Precedence relations, Control Statements, Exception Handling, File and Streams,
Visibility, Constructors, Operator and Methods Overloading, Static Members,
Inheritance: Polymorphism, Abstract methods and Classes
Java
Collective Frame Work - Data Structures: Introduction, Type-Wrapper Classes for
Primitive Types, Dynamic Memory Allocation, Linked List, Stack, Queues, Trees,
Generics: Introduction, Overloading Generic Methods, Generic Classes,
Collections: Interface Collection and Class Collections, Lists, Array List and
Iterator, Linked List, Vector. Collections Algorithms: Algorithm sorts,
Algorithm shuffle, Algorithms reverse, fill, copy, max and min Algorithm binary
Search, Algorithms add All, Stack Class of Package java. Util, Class Priority
Queue and Interface Queue, Maps, Properties Class, Un-modifiable Collections.
Advance
Java Features - Multithreading: Thread States, Priorities and Thread
Scheduling, Life Cycle of a Thread, Thread Synchronization, Creating and
Executing Threads, Multithreading with GUI,Monitors and Monitor Locks.
Networking: Manipulating URLs, Reading a file on a Web Server, Socket
programming, Security and the Network, RMI, Networking, Accessing Databases
with JDBC: Relational Database, SQL, MySQL, Oracle
Advance
Java Technologies - Servlets: Overview and Architecture, Setting Up the Apache
Tomcat Server, Handling HTTP get Requests, Deploying a web Application,
Multitier Applications, Using JDBC from a Servlet, Java Server Pages (JSP):
Overview, First JSP Example, Implicit Objects, Scripting, Standard Actions,
Directives, Multimedia: Applets and Application: Loading, Displaying and
Scaling Images, Animating a Series of Images, Loading and playing Audio clips
Advance
Web/Internet Programming (Overview): J2ME, J2EE, EJB, XML.
References:
1. E. Balaguruswamy, “Programming In
Java”; TMH Publications
2. The Complete Reference: Herbert
Schildt, TMH
3. Deitel & Deitel, ”JAVA, How to
Program”; PHI, Pearson.
4. Cay Horstmann, Big JAVA, Wiley India.
5. Merlin Hughes, et al; Java Network
Programming , Manning Publications/Prentice Hall
List of Program :
1. Installation of J2SDK
2. Write a program to show Scope of Variables
3. Write a program to show Concept of CLASS in JAVA
4. Write a program to show Type Casting in JAVA
5. Write a program to show How Exception Handling is in JAVA
6. Write a Program to show Inheritance
7. Write a program to show Polymorphism
8. Write a program to show Access Specifiers (Public, Private,
Protected) in JAVA
9. Write a program to show use and Advantages of CONTRUCTOR
10. Write a program to show Interfacing between two classes
11. Write a program to Add a Class to a Package
12. Write a program to show Life Cycle of a Thread
13. Write a program to demonstrate AWT.
14. Write a program to Hide a Class
15. Write a Program to show Data Base Connectivity Using JAVA
16. Write a Program to show “HELLO JAVA ” in Explorer using Applet
17. Write a Program to show Connectivity using JDBC
18. Write a program to demonstrate multithreading using Java.
19. Write a program to demonstrate applet life cycle.
20. Write a program to demonstrate concept of servlet.
RGPV CBGS 3rd Sem
CSE Syllabus RGPV CBGS 2nd year Scheme
RGPV CBGS 3rd Sem CSE Subject list
RGPV CBGS 3rd Sem Subjects CSE | Bachelor of Technology B.Tech. (Computer Science & Engineering) |
||
S. NO.
|
Subject Code
|
Subject Name
|
1
|
BT-3001
|
Mathematics III
|
2
|
CS-3002
|
Electronic Devices & Circuits
|
3
|
CS-3003
|
Digital Circuit & Design
|
4
|
CS-3004
|
Data Structures-II
|
5
|
CS-3005
|
Discrete Structures
|
6
|
CS-3006
|
Computer Programming-I (Java Technologies)
|
7
|
CS-3007
|
Rural Outreach (Internal Assessment)
|
8
|
CS-3008
|
NSS/NCC/Social Work (Internal Assessment)
|
0 comments:
Post a Comment