KTU S3 CSE Electronics Devices&Circuits notes

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ABOUT THIS COURSE: 

COURSE CODE: CS207

Course Objectives:  
1. To introduce to the students the fundamental concepts of electronic devices and circuits for engineering applications 
2. To develop the skill of analysis and design of various analog circuits using electronic devices 
3. To provide comprehensive idea about working principle, operation and applications of  electronic circuits 4. To equip the students with a sound understanding of fundamental concepts of operational amplifiers 
5. To expose to the diversity of operations that operational amplifiers can perform in a wide range of applications 
6. To expose to a variety of electronic  circuits/systems using various analog ICs

Syllabus 
 RC Circuits, Diode Circuits, Regulated power supplies, Field effect transistor, DC analysis of BJT, RC Coupled amplifier,  MOSFET amplifiers, Feedback amplifiers, Power amplifiers, Oscillators, Multivibrators,  Operational Amplifier and its applications, Timer IC.    

Expected  Outcome:
Students will be able to 
1. explain, components illustrate, and design the different electronic circuits using electronic components
2. design circuits using operational amplifiers for various applications

Text Books: 
1. David A Bell, Electronic Devices and Circuits, Oxford University Press, 2008 
2. Salivahanan S. and V. S. K. Bhaaskaran, Linear Integrated Circuits, Tata McGraw Hill, 2008 

References :  
1. Neamen D., Electronic Circuits, Analysis and Design, 3/e, TMH, 2007 
2. Robert Boylestad  and L Nashelsky, Electronic Devices and Circuit Theory, Pearson. 
3. Bogart T. F., Electronic Devices Circuits, 6/e, Pearson, 2012.  
4. Maini A. K. and V. Agrawal, Electronic Devices and Circuits, Wiley India, 2011. 
5. K.Gopakumar, Design and Analysis of Electronic Circuits, Phasor Books, Kollam, 2013 
6. Millman J. and C. Halkias, Integrated Electronics, 2/e, McGraw-Hill, 2010.

 

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Switching theory and logic design notes

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NOTES:  

• MODULE 1
• MODULE 2
• MODULE 3
• MODULE 4
• MODULE 5
• MODULE 6

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ABOUT THIS COURSE: 

 COURSE CODE: CS203

 Course Objectives :
1. To impart an understanding of the basic concepts of Boolean algebra and digital systems. 
2. To impart familiarity with the design and implementation of different types of practically used sequential circuits. 
3. To provide an introduction to use Hardware Description Language 

Syllabus:
Introduction to Number Systems, Boolean Algebra, Canonical Forms, Logic Gates, Digital Circuit Design, Combination Logic Circuit Design, Sequential Circuit Design, Registers, Counter, Memory modules, Programmable Logical Arrays, Hardware Description Language for Circuit Design, Arithmetic algorithms 

Expected  Outcome: 
Students will be able to:- 
1. apply the basic concepts of   Boolean algebra for the simplification and implementation of logic functions using suitable gates namely NAND, NOR etc.  
2. design simple Combinational Circuits such as Adders, Subtractors, Code Convertors, Decoders, Multiplexers, Magnitude Comparators etc.  
3. design Sequential Circuits such as different types of Counters, Shift Registers, Serial Adders, Sequence Generators.  
4. use Hardware Description Language for describing simple logic circuits. 
5. apply algorithms for addition/subtraction operations on Binary, BCD and Floating Point Numbers.  

Text Books: 
1. Mano M. M., Digital Logic & Computer Design, 4/e, Pearson Education, 2013. [Chapters: 1, 2, 3, 4, 5, 6, 7]. 
2. Floyd T. L., Digital Fundamentals, 10/e, Pearson Education, 2009. [Chapters: 5, 6]. 
3. M. Morris Mano, Computer System Architecture, 3/e, Pearson Education, 2007. [Chapter 10.1, 10.2, 10.5, 10.6, 10.7].
4. Harris D. M. and, S. L. Harris, Digital Design and Computer Architecture, 2/e, Morgan Kaufmann Publishers, 2013 [Chapter 4.1, 4.2]  

References: 
1. Tokheim R. L., Digital Electronics Principles and Applications, 7/e, Tata McGraw Hill, 2007. 
2. Mano M. M. and M. D Ciletti, Digital Design, 4/e, Pearson Education, 2008
3. Rajaraman V. and T. Radhakrishnan, An Introduction to Digital Computer Design, 5/e, Prentice Hall India Private Limited, 2012.  
4. Leach D, Malvino A P, Saha G, Digital Principles and Applications, 8/e, McGraw Hill Education, 2015. 

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KTU S3 CSE Discrete Computational structures notes

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SET 1
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Module 1
Module 2
Module 3
Module 4
Module 5
Module 6

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ABOUT THIS COURSE:

Course  code : CS201

Course Objectives
 1. To introduce mathematical notations and concepts in discrete mathematics that is essential for computing. 
2. To train on mathematical reasoning and proof strategies. 
3. To cultivate analytical thinking and creative problem solving skills.  

Syllabus
 Review of Set theory, Countable and uncountable Sets, Review of Permutations and combinations, Pigeon Hole Principle, Recurrence Relations and Solutions, Algebraic systems (semigroups, monoids, groups, rings, fields), Posets and Lattices, Prepositional and Predicate Calculus, Proof Techniques.  

Expected Outcome: 
Students will be able to  
1. identify and apply operations on discrete structures such as sets, relations and functions in different areas of computing. 
2. verify the validity of an argument using propositional and predicate logic. 
3. construct proofs using direct proof, proof by contraposition, proof by contradiction and proof by cases, and by mathematical induction.  
4. solve problems using algebraic structures. 
5. solve problems using counting techniques and combinatorics. 
6. apply recurrence relations to solve problems in different domains.  

Text Books 
1. Trembly J.P and Manohar R, “Discrete Mathematical Structures with Applications to Computer Science”,  Tata McGraw–Hill Pub.Co.Ltd, New Delhi, 2003. 
2. Ralph. Introduction”, 4/e, Pearson Education Asia, Delhi, 2002. P. Grimaldi, “Discrete and Combinatorial Mathematics: An Applied 

References: 
1. Liu C. L., “Elements of Discrete Mathematics”, 2/e, McGraw–Hill Int. editions, 1988. 
2. Bernard Kolman, Robert C. Busby, Sharan Cutler Ross, “Discrete Mathematical Structures”, Pearson Education Pvt Ltd., New Delhi, 2003 
3. Kenneth H.Rosen, “Discrete Mathematics and its Applications”, 5/e, Tata McGraw – Hill Pub. Co. Ltd., New Delhi, 2003. 
4. Richard Johnsonbaugh, “Discrete Mathematics”, 5/e, Pearson Education Asia, New Delhi, 2002. 
5. Joe L Mott, Abraham Kandel, Theodore P Baker, “Discrete Mathematics for Computer Scientists  and Mathematicians”, 2/e, Prentice-Hall India, 2009.

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KTU S3 CSE DATA STRUCTURES NOTES

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Module 5
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ABOUT THIS COURSE:

Course  code:CS205
 Course Name:Data Structures
 Credits:3- 1- 0- 4 
 Year of Introduction: 2016 

 Pre-requisite: B101-05 Introduction to Computing and Problem Solving


 Course Objectives:

1. To impart a thorough understanding of linear data structures such as stacks ,  queues and their 
2. applications
3. To impart a thorough understanding of non  linear data structures such as trees, graphs and their applications
4. To impart familiarity with various sorting, searching and hashing techniques and their performance comparison. 
5. To impart a basic understanding of memory management.

Syllabus:

 Introduction to  various programming methodologies, terminologies and basics of algorithms analysis, Basic Abstract and Concrete Linear Data Structures, Non-linear Data Structures, Memory Management, Sorting Algorithms, Searching Algorithms, Hashing.

Expected  Outcome: 

Students will be able to

 1. compare different programming methodologies and define asymptotic notations to analyze performance of algorithms.  

2. use appropriate data structures like arrays, linked list, stacks and queues to solve real world problems efficiently.  

3. represent and manipulate data using nonlinear data structures like trees and graphs to design algorithms for various applications. 

4. illustrate and compare various techniques for searching and sorting. 

5. appreciate different memory management techniques and their significance. 

6. illustrate various hashing techniques. 

Text Books: 

1. Samanta D., Classic Data Structures, Prentice Hall India, 2/e, 2009. 

2. Richard F. Gilberg, Behrouz A. Forouzan, Data Structures: A Pseudocode Approach with C, 2/e, Cengage Learning, 2005. 

References :

1. Horwitz E., S. Sahni and S. Anderson, Fundamentals of Data Structures in C, University Press (India), 2008. 

2. Aho A. V., J. E. Hopcroft and J. D. Ullman, Data Structures and Algorithms, Pearson Publication,1983. 

3. Tremblay J. P. and P. G. Sorenson, Introduction to Data Structures with Applications, Tata McGraw Hill, 1995. 

4. Peter Brass, Advanced Data Structures, Cambridge University Press, 2008 

5. Lipschuts S., Theory and Problems of Data Structures, Schaum’s Series, 1986.  

6. Wirth N., Algorithms + Data Structures = Programs, Prentice Hall, 2004. 

7. Hugges J. K. and J. I. Michtm, A Structured Approach to Programming, PHI, 1987. 

8. Martin Barrett, Clifford Wagner,  And Unix: Tools For Software Design, John Wiley, 2008 reprint.    

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