Department of


Syllabus for

1 Semester  2020  Batch  
Paper Code 
Paper 
Hours Per Week 
Credits 
Marks 
CSC131  PROGRAMMING USING C AND DIGITAL COMPUTER FUNDAMENTALS  4  4  100 
CSC151  C PROGRAMMING LAB  2  2  50 
ENG121  ENGLISH  I  3  2  100 
FRN121  FRENCH  3  3  100 
HIN121  HINDI  3  3  50 
KAN121  KANNADA  3  03  100 
MAT131  DIFFERENTIAL CALCULUS  4  4  100 
MAT151  DIFFERENTIAL CALCULUS USING MAXIMA  2  2  50 
SAN121  SANSKRIT  3  3  100 
STA131  DESCRIPTIVE STATISTICS AND PROBABILITY  4  4  100 
STA151  DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL  2  2  50 
TAM121  TAMIL  3  3  100 
2 Semester  2020  Batch  
Paper Code 
Paper 
Hours Per Week 
Credits 
Marks 
CSC231  DATA STRUCTURES AND OPERATING SYSTEMS  4  4  100 
CSC251  DATA STRUCTURES LAB  2  2  50 
ENG221  ENGLISH  II  3  2  100 
FRN221  FRENCH  3  3  100 
HIN221  HINDI  3  3  50 
KAN221  KANNADA  3  03  100 
MAT231  DIFFERENTIAL EQUATIONS  4  4  100 
MAT251  DIFFERENTIAL EQUATIONS USING MAXIMA  2  2  50 
SAN221  SANSKRIT  3  3  100 
STA231  STATISTICAL METHODS  4  4  100 
STA232  R PROGRAMMING  4  4  100 
STA251  STATISTICAL METHODS PRACTICAL  2  2  50 
TAM221  TAMIL  3  3  100 
3 Semester  2019  Batch  
Paper Code 
Paper 
Hours Per Week 
Credits 
Marks 
AEN321  ADDITIONAL ENGLISH  3  3  100 
CSC331  DATABASE MANAGEMENT SYSTEM AND JAVA PROGRAMMING  4  4  100 
CSC351  JAVA PROGRAMMING LAB  2  2  50 
ENG321  ENGLISHIII  3  3  100 
FRN321  FRENCH  3  3  100 
HIN321  HINDI  3  2  50 
KAN321  KANNADA  3  03  100 
MAT331  REAL ANALYSIS  4  4  100 
MAT351  INTRODUCTION TO PYTHON PROGRAMMING FOR MATHEMATICS  2  2  50 
STA331  STATISTICAL INFERENCE  4  4  100 
STA332  APPLIED EXCEL  4  4  100 
STA351  STATISTICAL INFERENCE PRACTICAL  2  2  50 
4 Semester  2019  Batch  
Paper Code 
Paper 
Hours Per Week 
Credits 
Marks 
AEN421  ADDITIONAL ENGLISH  3  3  100 
CSC431  SOFTWARE ENGINEERING AND COMPUTER NETWORKS  4  4  100 
CSC451  WEB TECHNOLOGY LAB  2  2  50 
ENG421  ENGLISHIV  3  3  100 
FRN421  FRENCH  3  3  100 
HIN421  HINDI  3  2  50 
KAN421  KANNADA  3  03  100 
MAT431  ALGEBRA  4  4  100 
MAT451  INTRODUCTION TO MATHEMATICAL MODELLING USING PYTHON  2  2  50 
STA431  SAMPLING TECHNIQUES  4  4  100 
STA451  SAMPLING TECHNIQUES PRACTICAL  2  2  50 
5 Semester  2018  Batch  
Paper Code 
Paper 
Hours Per Week 
Credits 
Marks 
CSC541A  DATA ANALYTICS  3  3  100 
CSC541B  INTERNET OF THINGS  3  3  100 
CSC541C  DIGITAL IMAGE PROCESSING  3  3  100 
CSC541D  BUSINESS INTELLIGENCE  3  3  100 
CSC542A  UNIX OPERATING SYSTEM  3  3  100 
CSC542B  PYTHON PROGRAMMING  3  3  100 
CSC542C  MOBILE APPLICATIONS  3  3  100 
CSC542D  GRAPHICS AND ANIMATION  3  3  100 
CSC542E  .NET TECHNOLOGY  3  3  100 
CSC551A  DATA ANALYTICS LAB  2  2  50 
CSC551B  INTERNET OF THINGS LAB  2  2  50 
CSC551C  DIGITAL IMAGE PROCESSING LAB  2  2  50 
CSC551D  BUSINESS INTELLIGENCE LAB  2  2  50 
CSC552A  UNIX OPERATING SYSTEM LAB  2  2  50 
CSC552B  PYTHON PROGRAMMING LAB  2  2  50 
CSC552D  GRAPHICS AND ANIMATION LAB  2  2  50 
CSC552E  .NET TECHNOLOGY LAB  2  2  50 
MAT531  LINEAR ALGEBRA  3  3  100 
MAT541A  INTEGRAL TRANSFORMS  3  3  100 
MAT541B  MATHEMATICAL MODELLING  3  3  100 
MAT541C  GRAPH THEORY  3  3  100 
MAT541D  CALCULUS OF SEVERAL VARIABLES  3  3  100 
MAT541E  OPERATIONS RESEARCH  3  3  100 
MAT551  LINEAR ALGEBRA USING PYTHON  2  2  50 
MAT551A  INTEGRAL TRANSFORMS USING PYTHON  2  2  50 
MAT551B  MATHEMATICAL MODELLING USING PYTHON  2  2  50 
MAT551C  GRAPH THEORY USING PYTHON  2  2  50 
MAT551D  CALCULUS OF SEVERAL VARIABLES USING PYTHON  2  2  50 
STA531  LINEAR REGRESSION MODELS  3  3  100 
STA541A  STATISTICAL QUALITY CONTROL  3  3  100 
STA541B  DESIGN OF EXPERIMENTS  3  3  100 
STA541C  ACTUARIAL STATISTICS  3  3  100 
STA541D  INTRODUCTION TO SPATIAL STATISTICS  3  3  100 
STA551  LINEAR REGRESSION MODELS PRACTICAL  2  2  50 
STA552A  STATISTICAL QUALITY CONTROL PRACTICAL  2  2  50 
STA552B  DESIGN OF EXPERIMENTS PRACTICAL  2  2  50 
STA552C  ACTUARIAL STATISTICS PRACTICAL  2  2  50 
STA552D  SPATIAL STATISTICS PRACTICAL  2  2  50 
6 Semester  2018  Batch  
Paper Code 
Paper 
Hours Per Week 
Credits 
Marks 
CSC631  DESIGN AND ANALYSIS OF ALGORITHMS  3  3  100 
CSC641A  INTRODUCTION TO SOFT COMPUTING  3  3  100 
CSC641B  CLOUD COMPUTING  3  3  100 
CSC641C  COMPUTER ARCHITECTURE  3  3  100 
CSC641D  OOAD USING UML  3  3  100 
CSC641E  USER EXPERIENCE DESIGN(UX)  3  3  100 
CSC681  MAIN PROJECT  4  04  100 
MAT631  COMPLEX ANALYSIS  3  3  100 
MAT641B  NUMERICAL METHODS  3  3  100 
MAT641C  DISCRETE MATHEMATICS  3  3  100 
MAT641D  NUMBER THEORY  3  3  100 
MAT641E  FINANCIAL MATHEMATICS  3  3  100 
MAT651  COMPLEX ANALYSIS USING PYTHON  2  2  50 
MAT651A  MECHANICS USING PYTHON  2  2  50 
MAT651B  NUMERICAL METHODS USING PYTHON  2  2  50 
MAT651C  DISCRETE MATHEMATICS USING PYTHON  2  2  50 
MAT651D  NUMBER THEORY USING PYTHON  2  2  50 
MAT651E  FINANCIAL MATHEMATICS USING PYTHON  2  2  50 
MAT681  PROJECT ON MATHEMATICAL MODELS  5  5  150 
STA631  TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES  3  3  100 
STA641A  APPLIED STATISTICS  3  3  100 
STA641B  ELEMENTS OF STOCHASTIC PROCESS  3  3  100 
STA641C  BIOSTATISTICS  3  3  100 
STA641D  STATISTICAL GENETICS  3  3  100 
STA651  TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES PRACTICAL  2  2  50 
STA652A  APPLIED STATISTICS PRACTICAL  2  2  50 
STA652B  ELEMENTS OF STOCHASTIC PROCESS PRACTICAL  2  2  50 
STA652C  BIOSTATISTICS PRACTICAL  2  2  50 
STA652D  STATISTICAL GENETICS PRACTICAL  2  2  50 
 
Assesment Pattern  
Exam pattern for theory
Exam Pattern for practical
Total Marks : 50  
Examination And Assesments  
 
Department Overview:  
Department of Computer Science of CHRIST(Deemed to be University) strives to shape outstanding computer professionals with ethical and human values to reshape nation?s destiny. The training imparted aims to prepare young minds for the challenging opportunities in the IT industry with a global awareness rooted in the Indian soil, nourished and supported by experts in the field.
Department of Mathematics, CHRIST (Deemed to be University) is one of the oldest departments of the University, established in the year 1969. It offers programmes in Mathematics at the undergraduate level, post graduate level as well as M.Phil and Ph.D. It is equipped with the highly committed team of instructors having versatile experience in teaching, research and has a passion to explore and innovate. Department is committed to provide the quality education in Mathematics, facilitate the holistic development, encourage students for pursuing higher studies in mathematics and motivate students to uphold scientific integrity and objectivity in professional endeavors.
Department of Statistics is committed to excellence in teaching and equipping students to become practicing statisticians. The main objectives of the department are: 1. To acquaint students with various statistical methods and their applications in different fields 2. To cultivate statistical thinking among students 3. To develop skills in handling complex problems in data analysis and research design 4. To prepare students for futu  
Mission Statement:  
Vission: EXCELLENCE AND SERVICE
Mission(Computer science department): To develop IT professionals with ethical and human values.
Mission(Department of Mathematics): To organize, connect, create and communicate mathematical ideas effectively, through 4D's; Dedication, Discipline, Direction and Determination.
Mission:The department of Statistics is committed to excellence in teaching and equipping students to become practicing statisticians.  
Introduction to Program:  
Bachelor of Science (BSc  Computer Science, Mathematics ,Statistics) is a 3year undergraduate triple main programme spread over six semesters. It is an interdisciplinary program aimed at fostering sound fundamentals in computer science, mathematics statistics. The curriculum in computer science scales from imparting basic concepts in lower semesters to fine grain level along with electives in the higher semesters. Programming labs and projects strengthen the domain knowledge and exposure during the triple main course.The students are imparted both theoretical as well as practical knowledge in statistics using multiple statistical software.
Mathematics: The undergraduate course in Mathematics is designed to enable the students to lay a strong foundation in various fields of Mathematics. The course enables the students to develop a respectable intellectual level seeking to expose the various concepts in Mathematics. It also aims at enhancing the students reasoning, analytical and problem solving skills. The first four semesters are devoted to appreciate the beauty of mathematics through Differential Calculus, Differential Equations, Real Analysis and Algebra. In order to help the students in exploration of mathematical concepts through activities and exploration, FOSS (Free and Open Source Software) tool MAXIMA and the computer language "Python" are introduced. Students find better perceptions of the classical courses like Linear Algebra, Complex Analysis and the elective co  
Program Objective:  
Programme Objective:The programme aims at providing theoretical and practical exposure to students to a varied range of statistical techniques in order to equip them to face the challenges of Industry and Higher Education.
Programme Outcomes: On successful completions of the BSc Programme students will be able to
PO1. Understand and apply the fundamental principles, concepts and methods in key areas of science and multidisciplinary fields
PO2. Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements
PO3. Develop the critical thinking with scientific temper
PO4. Communicate the subject effectively
PO5. Understand the importance and judicious use of technology for the sustainable growth of mankind in synergy with nature
PO6. Understand the professional, ethical and social responsibilities
PO7. Enhance the research culture and uphold the scientific integrity and objectivity
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements
Programme Specific Outcomes:
PSO1. Apply the theoretical concepts to design and develop software.
PSO2. Demonstrate the problem solving skills in mathematical and digital sciences.
PSO3. Provide a comprehensive understanding of Data Science and its applications.
PSO4. Acquire a strong foundation in Statistical analytics
PSO5. Express proficiency in oral and written communications to appreciate innovation in research.
PSO6. Use sof  
 
Assesment Pattern  
CIA : 50% ESE : 50%  
Examination And Assesments  
CIA : 50% ESE : 50%  
Department Overview:  
Department of Computer Science of CHRIST(Deemed to be University) strives to shape outstanding computer professionals with ethical and human values to reshape nation?s destiny. The training imparted aims to prepare young minds for the challenging opportunities in the IT industry with a global awareness rooted in the Indian soil, nourished and supported by experts in the field. Department of Mathematics, CHRIST (Deemed to be University) is one of the oldest departments of the University, established in the year 1969. It offers programmes in Mathematics at the undergraduate level, post graduate level as well as M.Phil and Ph.D. It is equipped with the highly committed team of instructors having versatile experience in teaching, research and has a passion to explore and innovate. Department is committed to provide the quality education in Mathematics, facilitate the holistic development, encourage students for pursuing higher studies in mathematics and motivate students to uphold scientific integrity and objectivity in professional endeavors. Department of Statistics is committed to excellence in teaching and equipping students to become practicing statisticians. The main objectives of the department are: 1. To acquaint students with various statistical methods and their applications in different fields 2. To cultivate statistical thinking among students 3. To develop skills in handling complex problems in data analysis and research design 4. To prepare students for future cours  
Mission Statement:  
Vision and Mission:
Vission: EXCELLENCE AND SERVICE
Mission(Computer science department): To develop IT professionals with ethical and human values. Mission(Department of Mathematics): To organize, connect, create and communicate mathematical ideas effectively, through 4D's; Dedication, Discipline, Direction and Determination. Mission:The Department of Statistics is committed to excellence in teaching and equipping students to become practicing statisticians.  
Introduction to Program:  
Bachelor of Science (BSc  Computer Science, Mathematics , Statistics) is a 3year undergraduate triple main programme spread over six semesters. It is an interdisciplinary program aimed at fostering sound fundamentals in computer science, mathematics statistics. The curriculum in computer science scales from imparting basic concepts in lower semesters to finegrain level along with electives in the higher semesters. Programming labs and projects strengthen the domain knowledge and exposure during the triple main course. The students are imparted both theoretical as well as practical knowledge in statistics using multiple statistical software. Mathematics: The undergraduate course in Mathematics is designed to enable the students to lay a strong foundation in various fields of Mathematics. The course enables the students to develop a respectable intellectual level seeking to expose the various concepts in Mathematics. It also aims at enhancing the students reasoning, analytical, and problemsolving skills. The first four semesters are devoted to appreciate the beauty of mathematics through Differential Calculus, Differential Equations, Real Analysis and Algebra. In order to help the students in exploration of mathematical concepts through activities and exploration, FOSS (Free and Open Source Software) tool MAXIMA and the computer language "Python" are introduced. Students find better perceptions of the classical courses like Linear Algebra, Complex Analysis and elective cour  
Program Objective:  
Programme Objective:The programme aims at providing theoretical and practical exposure to students to a varied range of statistical techniques in order to equip them to face the challenges of Industry and Higher Education.
Programme Outcomes: On successful completions of the BSc Programme students will be able to PO1. Understand and apply the fundamental principles, concepts and methods in key areas of science and multidisciplinary fields PO2. Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements PO3. Develop the critical thinking with scientific temper PO4. Communicate the subject effectively PO5. Understand the importance and judicious use of technology for the sustainable growth of mankind in synergy with nature PO6. Understand the professional, ethical and social responsibilities PO7. Enhance the research culture and uphold the scientific integrity and objectivity PO8. Engage in continuous reflective learning in the context of technological and scientific advancements Programme Specific Outcomes: PSO1. Apply the theoretical concepts to design and develop software. PSO2. Demonstrate the problem solving skills in mathematical and digital sciences. PSO3. Provide a comprehensive understanding of Data Science and its applications. PSO4. Acquire a strong foundation in Statistical analytics PSO5. Express proficiency in oral and written communications to appreciate innovation in research. PSO6. Use software effectively f  
AEN121N  ADDITIONAL ENGLISH (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

The Additional English course is offered as a second language course and seeks to introduce the students to the nuances of English literature in its varied forms and genres. The students who choose Additional English are generally proficient in the English language. Hence, instead of focusing on introducing them to language, challenging texts in terms of ideas, form, and technique are chosen. Additional English as a course is designed for students in place of a regional language. NonResident Indians (NRIs), foreign nationals and students who have not taken Hindi, Kannada, Tamil or French at the Plus 2 or Class XII levels are eligible to choose Additional English. The course is taught for students from different streams, namely, BA, BSc, BCom, and BBA in the first year and for BA, BSc and BCom (Regular) in the second year. The first year syllabus is an attempt by the Department of English, Christ University to recognize and bring together the polyphonic Indian and Indian subcontinental voices in English in English translation for the Additional English students of the first year. This effort aims to familiarize the students with regional literatures in translation, Indian Writing in English (IWE) and literatures from Pakistan, Nepal and Srilanka, thereby, enabling the students to learn more about Indian culture and ethos through writings from different regions of the country. We have tried to represent in some way or the other the corners of India and the Indian subcontinent in this microcosmic world of short stories, poems and essays
There is a prescribed text bookfor the first year students, compiled by the Department of English, Christ University and intended for private circulation. The first semester has a variety of writing from India, Pakistan and Nepal. The various essays, short stories and poems deal with various socioeconomic, cultural and political issues that are relevant to modern day India and the Indian subcontinent and will enable students to comprehend issues of identitypolitics, caste, religion, class, and gender. All of the selections either in the manner of their writing, the themes they deal with or the ideologies that govern them are contemporary in relevance and sensibility, whether written by contemporary writers or earlier writers. An important addition to this syllabus is the preponderance of NorthEastern writing which was hitherto not well represented. Excerpts from interviews, autobiographical writings, sports and city narratives are added to this section to introduce students to the varied genres of literature. The objectives of this course are to expose students to the rich literary and cultural diversity of Indian literatures to sensitise students on the social, political, historical and cultural ethos that has shaped the nation INDIA to enable to grasp and appreciate the variety and abundance of Indian writing, of which this compilation is just a passing glance to learn and appreciate India through association of ideas in the texts and the external contexts (BhashaUtsav will be an intrinsic help in this endeavour)


Learning Outcome 

Learning Outcome
The students will become sensitive to cultural, social, religious and ethnic diversities and help them engage with their peers and all around them in a more understanding and ‘educated’ manner.
it will also enable them through the activities conducted to become more proactive citizens/participants in society.
aware of the dynamics of gender, identity, communalism and politics of this vast nation through its literature.

Unit1 
Teaching Hours:10 
Poetry


1. Keki N Daruwala “Migrations”
2. Kamala Das “Forest Fire”
3. Agha Shahid Ali “Snow on the Desert”
4. Eunice D Souza “Marriages are Made”  
Unit2 
Teaching Hours:15 
Short Stories


1. Rabindranath Tagore “Babus of Nayanjore”
2. Ruskin Bond “He said it with Arsenic”
3. Bhisham Sahni “The Boss Came to Dinner”
4. N. Kunjamohan Singh “The Taste of Hilsa”
5. Mohan Thakuri “Post Script”  
Unit3 
Teaching Hours:20 
Essays


1. Mahatma Gandhi “What is True Civilization?” (Excerpts from Hind Swaraj)
2. Ela Bhatt “Organising for Change”
3. Sitakant Mahapatra “Beyond the Ego: New Values for a Global Neighborhood
4. B R Ambedkar “Waiting for A Visa”
 
Text Books And Reference Books: Contemporary knowledge of the socipolitical situation in the subcontinent The text book copy "Reading Diversity"  
Essential Reading / Recommended Reading Online resources to appreciate the text through the Comprehension Questions  
Evaluation Pattern CIA 1: Classroom assignment for 20 marks keeping in mind the objectives and learning outcomes of the course. CIA 2: Midsemester written exam for 50 marks CIA 3: Collage, tableaus, skits, talk shows, documentaries, Quizzes or any proactive creative assignments that might help students engage with India as a cultural space. This is to be done keeping in mind the objectives and learning outcomes of the course. Question Paper Pattern Mid Semester Exam: 2 hrs Section A: 4x5= 20 Section B: 2x15=30 Total 50
End Semester Exam: 2 hrs Section A: 4 x 5 = 20 Section B: 2 x 15= 30 Total 50  
CSC131  PROGRAMMING USING C AND DIGITAL COMPUTER FUNDAMENTALS (2020 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

Course Objectives The course provides the fundamentals of C programming, number systems, Boolean algebra and logic gates. The C programming helps the students to solve problems through logical thinking and digital logic helps the students to understand the concepts of constructing combinational and sequentialcircuits.


Learning Outcome 

CO1: Understand the fundamentals of structured programming, number systems, Boolean algebra and logic gates CO2: Learn to implement the concepts of arrays, functions, pointers, structures and to analyse logical expressions. CO3: To create programs with ethical coding standards. CO4: To design combinational and sequential circuits.

Unit1 
Teaching Hours:6 
Introduction


Algorithms  flowcharts The C Character Set  Constants, Variables and Keywords  Types of C Constants  Types of C Variables  Variable Names  C Instructions – data Type Declaration I/O instructions  Arithmetic Instruction  TypeConversion.
 
Unit2 
Teaching Hours:6 
Control Structure


The Decision Control Structure  The if Statement ifelse Statement Nested ifelse Use of Logical Operators  ! Operator  Decisions Using switch  The Loop Control Structure While Loop  for Loop  break Statement  continue Statement dowhile Loop.  
Unit3 
Teaching Hours:6 
Arrays


A Simple Program Using Array  Array Initialization  Two Dimensional Arrays Initializing a 2Dimensional Array  Memory Map of a 2Dimensional Array – Strings  Standard Library String Functions  strlen( )  strcpy( )  strcat()  strcmp()  TwoDimensional Array of Characters.  
Unit4 
Teaching Hours:6 
Functions & Pointers


Function  Passing Values between Functions  Scope Rule of Functions  Calling Convention  Return Type of Function  Call by Value and Call by Reference  An Introduction to Pointers  Pointer Notation –Recursion.  
Unit5 
Teaching Hours:6 
Macros and Structures


Introduction to macros, Structures  Declaring a Structure  Accessing Structure Elements  How Structure Elements areStored.
 
Unit6 
Teaching Hours:7 
Introduction to Computers & Number systems


Different number systems and their conversions (Decimal, Binary, Octal and Hexadecimal) Binary arithmetic  Addition, subtraction, multiplication and division of binary numbers, 1’s and 2’s complement, Floating point numbers, Coding – BCD, Gray,ASCII
 
Unit7 
Teaching Hours:6 
Boolean Algebra


Boolean operations and expressions, Laws and rules of boolean algebra, Demorgan’s Theorem, Boolean expressions, Simplification of Booleanexpression.  
Unit8 
Teaching Hours:6 
Logic Gates


OR gate, NOR gate , NOT gate , AND gate, NAND gate XOR gate , XNOR gate, The universal property of NOR and NAND gate, Karnaugh map (SOP).  
Unit9 
Teaching Hours:5 
Combinational logic


Adders (Half and Full), Decoder, Encoder, Multiplexer, DeMultiplexer (Introductory ConceptsOnly).
 
Unit10 
Teaching Hours:6 
FlipFlops


Flipflops SR flipflop, JK flipflop, Master slave JK flipflop, Introduction to Registers andCounters.
 
Text Books And Reference Books: [1] Yashavant P. Kanetkar, Let Us C, 15th Edition, BPB Publications, 2012. [2] Floyd and Thomas L, Digital Computer Fundamentals, 11th Edition, Pearson International, 2015.
 
Essential Reading / Recommended Reading [1] Byron Gottfried and Jitender Chhabra, Programming with C, 3rd Ed, Tata McGrawHill, 2010. [2] Balagurusamy E, Programming in ANSI C, 4th Edition, TataMcGrawHill, 2007. [3] Deitel H M and Deitel P J, C  How to Program, 7th Edition, PrenticeHall, 2012. [4] Susant K Rout, Cimple,C, TataMcGrawHill Publishing Company Ltd., 2016. [5] Malvino, Paul Albert, Leach, Donald P. Gautam Saha, Digital Principles And Applications, 7th Edition,TMH,2010. [6] Bartee, Thomas C, Digital Computer Fundamentals, 6th Edition, TMH,2010  
Evaluation Pattern CIA50% ESE50%  
CSC131N  PROGRAMMING USING C AND DIGITAL COMPUTER FUNDAMENTALS (2020 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

Course Objectives The course provides the fundamentals of C programming, number systems, Boolean algebra and logic gates. The C programming helps the students to solve problems through logical thinking and digital logic helps the students to understand the concepts of constructing combinational and sequentialcircuits.


Learning Outcome 

CO1: Understand the fundamentals of structured programming, number systems, Boolean algebra and logic gates CO2: Learn to implement the concepts of arrays, functions, pointers, structures and to analyse logical expressions. CO3: To create programs with ethical coding standards. CO4: To design combinational and sequential circuits.

Unit1 
Teaching Hours:6 
Introduction


Algorithms  flowcharts The C Character Set  Constants, Variables and Keywords  Types of C Constants  Types of C Variables  Variable Names  C Instructions – data Type Declaration I/O instructions  Arithmetic Instruction  TypeConversion.
 
Unit2 
Teaching Hours:6 
Control Structure


The Decision Control Structure  The if Statement ifelse Statement Nested ifelse Use of Logical Operators  ! Operator  Decisions Using switch  The Loop Control Structure While Loop  for Loop  break Statement  continue Statement dowhile Loop.  
Unit3 
Teaching Hours:6 
Arrays


A Simple Program Using Array  Array Initialization  Two Dimensional Arrays Initializing a 2Dimensional Array  Memory Map of a 2Dimensional Array – Strings  Standard Library String Functions  strlen( )  strcpy( )  strcat()  strcmp()  TwoDimensional Array of Characters.  
Unit4 
Teaching Hours:6 
Functions & Pointers


Function  Passing Values between Functions  Scope Rule of Functions  Calling Convention  Return Type of Function  Call by Value and Call by Reference  An Introduction to Pointers  Pointer Notation –Recursion.  
Unit5 
Teaching Hours:6 
Macros and Structures


Introduction to macros, Structures  Declaring a Structure  Accessing Structure Elements  How Structure Elements areStored.
 
Unit6 
Teaching Hours:7 
Introduction to Computers & Number systems


Different number systems and their conversions (Decimal, Binary, Octal and Hexadecimal) Binary arithmetic  Addition, subtraction, multiplication and division of binary numbers, 1’s and 2’s complement, Floating point numbers, Coding – BCD, Gray,ASCII
 
Unit7 
Teaching Hours:6 
Boolean Algebra


Boolean operations and expressions, Laws and rules of boolean algebra, Demorgan’s Theorem, Boolean expressions, Simplification of Booleanexpression.  
Unit8 
Teaching Hours:6 
Logic Gates


OR gate, NOR gate , NOT gate , AND gate, NAND gate XOR gate , XNOR gate, The universal property of NOR and NAND gate, Karnaugh map (SOP).  
Unit9 
Teaching Hours:5 
Combinational logic


Adders (Half and Full), Decoder, Encoder, Multiplexer, DeMultiplexer (Introductory ConceptsOnly).
 
Unit10 
Teaching Hours:6 
FlipFlops


Flipflops SR flipflop, JK flipflop, Master slave JK flipflop, Introduction to Registers andCounters.
 
Text Books And Reference Books: [1] Yashavant P. Kanetkar, Let Us C, 15th Edition, BPB Publications, 2012. [2] Floyd and Thomas L, Digital Computer Fundamentals, 11th Edition, Pearson International, 2015.
 
Essential Reading / Recommended Reading [1] Byron Gottfried and Jitender Chhabra, Programming with C, 3rd Ed, Tata McGrawHill, 2010. [2] Balagurusamy E, Programming in ANSI C, 4th Edition, TataMcGrawHill, 2007. [3] Deitel H M and Deitel P J, C  How to Program, 7th Edition, PrenticeHall, 2012. [4] Susant K Rout, Cimple,C, TataMcGrawHill Publishing Company Ltd., 2016. [5] Malvino, Paul Albert, Leach, Donald P. Gautam Saha, Digital Principles And Applications, 7th Edition,TMH,2010. [6] Bartee, Thomas C, Digital Computer Fundamentals, 6th Edition, TMH,2010  
Evaluation Pattern CIA50% ESE50%  
CSC151  C PROGRAMMING LAB (2020 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:50 
Credits:2 
Course Objectives/Course Description 

The course introduces programming approach and practical implementation of theoretical concepts in C language. It provides the ability to understand, program, evaluate the given problems. The course also develops analyzing and problem solving skills based on C language.


Learning Outcome 

CO1: Analyze and illustrate algorithm and flowchart for the given C program CO2: Implement structured C programs CO3: Trace and debug the programs written in C language

Unit1 
Teaching Hours:30 
List of programs


1. Program to implement conditional statements.
2. Program to implement the concepts of while loop.
3. Program implementing for loop concepts.
4. Program to implement 1D array concept.
5. Program based on string concepts.
6. Program to implement string library functions.
7. Program to implement 2D array concepts.
8. Program to implement functions.
9. Program demonstrating recursion functions.
10.Program to demonstrate call by value and call by reference.
 
Text Books And Reference Books: [1] Yashavant P. Kanetkar, Let Us C, 15th Edition, BPB Publications, 2012.
 
Essential Reading / Recommended Reading [1] Byron Gottfried and Jitender Chhabra, Programming with C, 3rd Ed, Tata McGrawHill, 2010. [2] Balagurusamy E, Programming in ANSI C, 4th Edition, TataMcGrawHill, 2007. [3] Deitel H M and Deitel P J, C  How to Program, 7th Edition, PrenticeHall, 2012. [4] Susant K Rout, Cimple,C, TataMcGrawHill Publishing Company Ltd., 2016.
 
Evaluation Pattern CIA  50% ESE  50%  
CSC151N  C PROGRAMMING LAB (2020 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:50 
Credits:2 
Course Objectives/Course Description 

The course introduces programming approach and practical implementation of theoretical concepts in C language. It provides the ability to understand, program, evaluate the given problems. The course also develops analyzing and problem solving skills based on C language.


Learning Outcome 

CO1: Analyze and illustrate algorithm and flowchart for the given C program CO2: Implement structured C programs CO3: Trace and debug the programs written in C language

Unit1 
Teaching Hours:30 
List of programs


1. Program to implement conditional statements.
2. Program to implement the concepts of while loop.
3. Program implementing for loop concepts.
4. Program to implement 1D array concept.
5. Program based on string concepts.
6. Program to implement string library functions.
7. Program to implement 2D array concepts.
8. Program to implement functions.
9. Program demonstrating recursion functions.
10.Program to demonstrate call by value and call by reference.
 
Text Books And Reference Books: [1] Yashavant P. Kanetkar, Let Us C, 15th Edition, BPB Publications, 2012.
 
Essential Reading / Recommended Reading [1] Byron Gottfried and Jitender Chhabra, Programming with C, 3rd Ed, Tata McGrawHill, 2010. [2] Balagurusamy E, Programming in ANSI C, 4th Edition, TataMcGrawHill, 2007. [3] Deitel H M and Deitel P J, C  How to Program, 7th Edition, PrenticeHall, 2012. [4] Susant K Rout, Cimple,C, TataMcGrawHill Publishing Company Ltd., 2016.
 
Evaluation Pattern CIA  50% ESE  50%  
ENG121  ENGLISH  I (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:2 
Course Objectives/Course Description 

· To help improve their communication skills for larger academic purposes and vocational purposes · To enable learners to learn the contextual use of words and the generic meaning · To enable learners to listen to audio content and infer contextual meaning · To enable learners to be able to speak for various purposes and occasions using context specific language and expressions · To enable learners to develop the ability to write for various purposes using suitable and precise language. 

Learning Outcome 

· Understand how to engage with texts from various countries, historical, cultural specificities and politics
· Understand and develop the ability to reflect upon and comment on texts with various themes
· Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class
· Develop the ability to communicate both orally and in writing for various purposes

Unit1 
Teaching Hours:6 
language


Common errors subjectverb agreement, punctuation, tense errors
 
Unit1 
Teaching Hours:6 
Unit 1 1. The Happy Prince By Oscar Wilde 2. Shakespeare Sonnet 18


Unit2 
Teaching Hours:6 
language


sentence fragments, dangling modifiers, faulty parallelism,  
Unit2 
Teaching Hours:6 
unit 2


1. Why We TravelPico Iyer 2. What Solo Travel Has Taught Me About the World – and Myself ShivyaNath Blogpost
 
Unit3 
Teaching Hours:6 
unit 3


1. Thinking Like a Mountain By Aldo Leopold 2. Short Text: On Cutting a Tree By Gieve Patel  
Unit3 
Teaching Hours:6 
language


Note taking  
Unit4 
Teaching Hours:6 
unit 4


1. Violence in the name of God is Violence against God By Rev Dr Tveit
2. Poem: Holy Willie's Prayer By Robert Burns  
Unit4 
Teaching Hours:6 
language


Paragraph writing  
Unit5 
Teaching Hours:6 
unit 5


1. The Story of B24 By Sir Arthur Conan Doyle 2. Short Text: Aarushi Murder case
 
Unit5 
Teaching Hours:6 
Language


Newspaper report  
Unit6 
Teaching Hours:6 
unit 6


1.Long text:My Story Nicole DeFreece
2. short text: Why You Should Never Aim for Six Packs
 
Unit6 
Teaching Hours:6 
Language


Essay writing  
Unit7 
Teaching Hours:6 
Language


Paraphrasing and interpretation skills  
Unit7 
Teaching Hours:6 
unit 7


1.Long Text: Sir Ranjth Singh Essay by SouravGanguly 2. Short text: Casey at the Bat Ernest Lawrence Thayer  
Unit8 
Teaching Hours:3 
visual text


Visual Text: Before the Flood  
Text Books And Reference Books: ENGlogue 1  
Essential Reading / Recommended Reading Addfitional material as per teacher manual will be provided by the teachers  
Evaluation Pattern CIA 1=20 CIA 2=50 CIA 3= 20 ESE= 50 marks online and 50 marks written exam  
ENG121N  ENGLISH  I (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:2 
Course Objectives/Course Description 

ENGlogue is an English language course book for the students of first year of undergraduate courses studying in Christ University. The book that covers both Semesters I and II is built around fourteen contemporary themes, with each unit including two interesting and engaging reading texts. The texts are meant to trigger not just the desired languagelearning behaviors but also to engage the students in thinking about various pertinent issues concerning the world around them. Each unit also includes teaching and tasks based on vocabulary, reading, writing and speaking. The overall objective of the book is to provide students with handson learning of language skills, equipping them not only for their immediate academic needs but also for their future professional careers.


Learning Outcome 


Unit1 
Teaching Hours:6 
Language


Common errors subjectverb agreement, punctuation, tense errors  
Unit1 
Teaching Hours:6 
Beauty


 
Unit2 
Teaching Hours:6 
Language


Sentence fragments, dangling modifiers, faulty parallelism  
Unit2 
Teaching Hours:6 
Travel


 
Unit3 
Teaching Hours:6 
Environment


 
Unit3 
Teaching Hours:6 
Language


Note taking  
Unit4 
Teaching Hours:6 
Language


Paragraph writing  
Unit4 
Teaching Hours:6 
Religion


 
Unit5 
Teaching Hours:6 
Crime


 
Unit5 
Teaching Hours:6 
Language


Newspaper report  
Unit6 
Teaching Hours:6 
Language


Essay writing  
Unit6 
Teaching Hours:6 
Health and Fitness


 
Unit7 
Teaching Hours:6 
Language


Paraphrasing and interpretation skills  
Unit7 
Teaching Hours:6 
Sports


 
Unit8 
Teaching Hours:3 
Visual Text


Before the Flood  
Text Books And Reference Books: ENGlogue 1  
Essential Reading / Recommended Reading Additional material as per teacher manual will be provided by the teachers.  
Evaluation Pattern CIA 1=20 CIA 2=50 CIA 3= 20 ESE= 50 marks online and 50 marks written exam  
FRN121  FRENCH (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

French as second language for the UG program 

Learning Outcome 

Enhancement of linguistic competencies and sharpening of written and oral communicative skills.

Unit1 
Teaching Hours:5 

Chapter 1 I Discover


Lesson 1: Good Morning, How are you?  
Unit2 
Teaching Hours:5 

Chapter 1  I discover


Lesson 2: Hello, My name is Agnes.  
Unit3 
Teaching Hours:5 

Chapter 2 Culture : Physical and Political france


Lesson 1: Who is it?  
Unit4 
Teaching Hours:5 

Chapter 2 Culture: Physical and Political France


Lesson 2: In my bag , I have......  
Unit5 
Teaching Hours:5 

Les Fables de la Fontaine


1. La cigale et la fourmis  
Unit6 
Teaching Hours:5 

Visual Text


A French Film  
Unit7 
Teaching Hours:5 

Chapter 3 Viideo Workshop: He is cute!


Lesson 1 : How is he?  
Unit8 
Teaching Hours:5 

Les Fables de la Fontaine


2. Le renard et le corbeau  
Unit9 
Teaching Hours:5 

Chapter 3 Video Workshop: He is cute


Lesson 2: Hello?  
Text Books And Reference Books: 1. Cocton, MarieNoelle. Génération A1. Paris : Didier, 2016 2. De Lafontaine, Jean. Les Fables de la Fontaine. Paris, 1668
 
Essential Reading / Recommended Reading 1. Thakker, Viral. Plaisir d’écrire. New Delhi : Langers International Pvt. Ltd., 2011 2. French websites like Bonjour de France, Fluent U French, Learn French Lab, Point du FLE etc.  
Evaluation Pattern
 
HIN121  HINDI (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 

Max Marks:50 
Credits:3 

Course Objectives/Course Description 

The detailed text book “Samakaleen Hindi Kavitha” edited by Dr.N Mohanan is an anthology of contemporary Hindi Poems written by representative poets of Hindi Literature. From the medieval poetry ' Kabir Ke Dohe and Sur ke pad 'is also included. The poets reflect on the social, cultural and political issues which are prevalent in our society since the medieval period. Hindusthani sangeethparampara eva kalakar is one of the module. Since translation is a significant area in language and literature, emphasis is being given on it in the syllabus.Bharath ki pramukh sanskruthik kalayein Yakshagana,Kathakali,Ram Leela,Krishna Leela etc. included in the syllabus to enrich cultural values among students. Course Objectves:


Learning Outcome 

Students will be exposed to the world of poetry and Music. Through translation and cultural studies, students can understand different languages, literature and culture. Grammar portions will help the students to develop their language proficiency. 
Unit1 
Teaching Hours:20 
Samakaleen Hindi Kavitha (Collection of contemporary Hindi Poems),Kabir Ke Dohe and Sur Ke Pad.


’ Samakaleen Hindi Kavitha (Collection ofcontemporary Poems) Edited By: Mahendra Kulashreshta Rajpal and Son’s, New Delhi
Level of knowledge: Analytical
 
Unit2 
Teaching Hours:10 
TranslationTheory and Practice


TranslationPractice English to Hindi and vice versa.  
Unit3 
Teaching Hours:10 
Bharath ki pramukh sanskruthic kalayen


Ramleela,Krishnaleela,Yakshagaana,kathakali.  
Unit4 
Teaching Hours:5 
Hindusthani Sangeethparampara evam pramukh kalakar


Utbhav,Vikas aur paramparaein Pramukh Sangeethkar1.Bhimsen Joshi 2.Gulam Ali 3.Pandit Ravishankar 4. Bismillah Khan.  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading
1. A Hand Book of Translation Studies By: Das Bijay Kumar. 2. Saral Subodh Hindi Vyakaran, By: Motilal Chaturvedi. Vinod pustak mandir, Agra2 3. Anuvad Evam Sanchar – Dr Pooranchand Tantan, Rajpal and Son’s, Kashmiri 4. Anuvad Vignan By: Bholanath Tiwar 5. Anuvad Kala By: N.E Vishwanath Iyer.
 
Evaluation Pattern CIA1(Digital learningEditing of Hindi article in Hindi Wikipedia )20 marks CIA2(Mid semester examination)50 marks CIA3(Digital learningarticle creation in Hindi Wikipedia)20 marks End sem examination50 marks  
HIN121N  HINDI (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:50 
Credits:3 
Course Objectives/Course Description 

The detailed text book “Samakaleen Hindi Kavitha” edited by Dr.N Mohanan is an anthology of contemporary Hindi Poems written by representative poets of Hindi Literature. From the medieval poetry ' Kabir Ke Dohe and Sur ke pad 'is also included. The poets reflect on the social, cultural and political issues which are prevalent in our society since the medieval period. Hindusthani sangeethparampara eva kalakar is one of the module. Since translation is a significant area in language and literature, emphasis is being given on it in the syllabus.Bharath ki pramukh sanskruthik kalayein Yakshagana,Kathakali,Ram Leela,Krishna Leela etc. included in the syllabus to enrich cultural values among students. Course Objectves:


Learning Outcome 

Students will be exposed to the world of poetry and Music. Through translation and cultural studies, students can understand different languages, literature and culture. Grammar portions will help the students to develop their language proficiency. 
Unit1 
Teaching Hours:20 
Samakaleen Hindi Kavitha (Collection of contemporary Hindi Poems),Kabir Ke Dohe and Sur Ke Pad.


’ Samakaleen Hindi Kavitha (Collection ofcontemporary Poems) Edited By: Mahendra Kulashreshta Rajpal and Son’s, New Delhi
Level of knowledge: Analytical
 
Unit2 
Teaching Hours:10 
TranslationTheory and Practice


TranslationPractice English to Hindi and vice versa.  
Unit3 
Teaching Hours:10 
Bharath ki pramukh sanskruthic kalayen


Ramleela,Krishnaleela,Yakshagaana,kathakali.  
Unit4 
Teaching Hours:5 
Hindusthani Sangeethparampara evam pramukh kalakar


Utbhav,Vikas aur paramparaein Pramukh Sangeethkar1.Bhimsen Joshi 2.Gulam Ali 3.Pandit Ravishankar 4. Bismillah Khan.  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading
1. A Hand Book of Translation Studies By: Das Bijay Kumar. 2. Saral Subodh Hindi Vyakaran, By: Motilal Chaturvedi. Vinod pustak mandir, Agra2 3. Anuvad Evam Sanchar – Dr Pooranchand Tantan, Rajpal and Son’s, Kashmiri 4. Anuvad Vignan By: Bholanath Tiwar 5. Anuvad Kala By: N.E Vishwanath Iyer.
 
Evaluation Pattern CIA1(Digital learningEditing of Hindi article in Hindi Wikipedia )20 marks CIA2(Mid semester examination)50 marks CIA3(Digital learningarticle creation in Hindi Wikipedia)20 marks End sem examination50 marks  
KAN121  KANNADA (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:03 
Course Objectives/Course Description 

Selections from Old Kannada, Medieval Kannada and Modern Kannada Literature are introduced for I Semester BA/ BSc. courses in the syllabus. This will enrich the students Language and Communication skills, and also their critical and analytical skills. This will help them to enhance their social sensitivity. 

Learning Outcome 


Unit1 
Teaching Hours:20 
Old , Medieval and Modern Kannada Literature


1. Raghavanka Harishchandra Kavya. Selected chapter( Purada Punyam Purusha Roopinde Pooguthide) 2. Vachanas Devara Dasimayya, Basavanna, Akkamahadevi, Aydakki Lakkamma, Gajesha Masanaiah. Keerthanegalu: Purandaradasa, Kanakadasa 3. Modern Kannada poetry: Mumbai Jataka, Kari Heggadeya Magalu  
Unit2 
Teaching Hours:15 
Prose Selected Short Stories


1. Dheera Kumara A Folk tale 2. Mandannana Marriage (An episode in Novel Karvalo) K. P. Poornachandra Tejaswi 3. Gili Kathe(Translation)  Ravindranath Tagore  
Unit3 
Teaching Hours:10 
Grammar Folk Art forms


1. Differences in Prounounciation ( Ll) (AH) 2. Change of meanings 3. Report Writing 4. Folk Art forms of Karnataka ( Dollu Kunitha, Pooja Kunitha, Goravara Kunitha, Patada Kunitha )  
Text Books And Reference Books: 1. Adipurana Pampa 2. Yashodhara Charite Janna 3. Harishchandra Kavya Raghavanka 4. Shree Sahitya B M Shreekantaiah 5. Janapada Kathegalu Jee sham paramashivaiah  
Essential Reading / Recommended Reading 1. Pampa Ondu Adhyayana G S Shivarudrappa 2. Vachana Chandrike L Basavaraju 3. Purandara Sahitya Darshana S K Ramachandra Rao 4. Kanakadasa Basrur Subba Rao 5. Samagra Kannada Sahitya Charithre Ed. G.S Shivarudrappa
 
Evaluation Pattern CIA1 Written Assignments 20 Marks CIA2 Mid Semsester Examination 50 Marks CIA3 Translation Assignment English to Kannada 20 Marks Attendance 05 Marks End Semester Examination 50 Marks  
MAT131  DIFFERENTIAL CALCULUS (2020 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

Course Description: This course aims at enabling the students to know various concepts and principles of differential calculus and its applications. Sound knowledge of calculus is essential for the students of mathematics for the better perceptions of the subject and its development. Course objectives: This course will help the learner to COBJ1. Gain familiarity with the concepts of limit, continuity and differentiability. COBJ2. Understand the relationship between the concepts of differentiability and continuity. COBJ3. Analyse and interpret the different versions of mean value theorems. COBJ4. Learn successive differentiation and nth derivative of product of two functions. COBJ5. Find derivative of functions of more than one variable. COBJ6. Be familiar with curve tracing. 

Learning Outcome 

On successful completion of the course, the students should be able to CO1. Compute limits, derivatives and examine the continuity, differentiability of a function at a point. 
Unit1 
Teaching Hours:20 

Limits, Continuity, Differentiability and Mean Value Theorems


Definition of the limit of a function (εδ) form – Continuity, Uniform Continuity – Types of discontinuities – Properties of continuous functions on a closed interval  Boundedness theorem and extreme value theorem – Differentiability – Mean Value Theorems: Rolle’s theorem – Lagrange’s and Cauchy’s First Mean Value Theorems – Taylor’s theorem (Lagrange’s form and Cauchy’s forms of remainder) – Maclaurin’s theorem and expansions Indeterminate forms. .  
Unit2 
Teaching Hours:20 

Successive and Partial Differentiation


Successive differentiation – nth derivatives of functions – Leibnitz theorem and its applications – Partial differentiation – First and higher order derivatives – Differentiation of homogeneous functions – Euler’s theorem – Taylor’s theorem for two variables (only statements and problems) Maxima and Minima of functions of two variables.  
Unit3 
Teaching Hours:20 

Curve Tracing


Tangents and Normals, Concavity and convexity, Curvature, Asymptotes, Singular points, Tracing of curves (Parametric representation of curves and tracing of parametric curves, Polar coordinates and tracing of curves in polar coordinates)..  
Text Books And Reference Books: G.B. Thomas, M.D.Weir and J. Hass, ThomasCalculus, 12th ed., Pearson Education India, 2015.  
Essential Reading / Recommended Reading
 
Evaluation Pattern
 
MAT131N  DIFFERENTIAL CALCULUS (2020 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 

Max Marks:100 
Credits:4 

Course Objectives/Course Description 

This course aims at enabling the students to know various concepts and principles of differential calculus and its applications. Sound knowledge of calculus is essential for the students of mathematics for the better perceptions of the subject and its development.


Learning Outcome 

CO1. Compute limits, derivatives and examine the continuity, differentiability of a function at a point. CO2. Understand the properties of continuous functions and prove that differentiability implies continuity CO3. Prove Mean value theorems and analyse its geometric interpretation. CO4. Compute derivatives of any order and apply Leibniz’ theorem to find nth derivative of product of two functions. CO5. Master the fundamental concepts of partial differentiation and apply Euler’s theorem for homogeneous functions. CO6. Gain knowledge on the concepts such as asymptotes, concavity/convexity and singular points and apply the same for curve tracing. 
Unit1 
Teaching Hours:20 

Limits, Continuity, Differentiability and Mean Value Theorems


Definition of the limit of a function (εδ) form – Continuity, Uniform Continuity – Types of discontinuities – Properties of continuous functions on a closed interval – Differentiability – Mean Value Theorems: Rolle’s theorem – Lagrange’s and Cauchy’s First Mean Value Theorems – Taylor’s theorem (Lagrange’s form and Cauchy’s forms of remainder) – Maclaurin’s theorem and expansions Indeterminate forms.  Maxima and Minima.  
Unit2 
Teaching Hours:20 

Successive and Partial Differentiation


Successive differentiation – nth derivatives of functions – Leibnitz theorem and its applications – Partial differentiation – First and higher order derivatives – Differentiation of homogeneous functions – Euler’s theorem – Taylor’s theorem for two variables (only statements and problems) Maxima and Minima of functions of two variables.  
Unit3 
Teaching Hours:20 

Curve Tracing


Tangents and Normals, Curvature, Asymptotes, Singular points, Tracing of curves (Parametric representation of curves and tracing of parametric curves, Polar coordinates and tracing of curves in polar coordinates).  
Text Books And Reference Books: G.B. Thomas, M.D.Weir and J. Hass, ThomasCalculus, 12th ed., Pearson Education India, 2015.
 
Essential Reading / Recommended Reading H. Anton, I. Birens and S. Davis, Calculus, John Wiley and Sons Inc., 2002. F. Ayres and E. Mendelson, Schaum's Outline of Calculus, 6th ed. USA: Mc. Graw Hill., 2013. J. Stewart, Single Variable Essential Calculus: Early Transcendentals, 2nd ed.: Belmont, USA: Brooks/Cole Cengage Learning., 2013. S. Narayanan & T. K. M. Pillay, Calculus, Reprint, India: S. Viswanathan Pvt. Ltd., 2009. (vol. I & II.) M. Spivak, Calculus, 3rd ed., Cambridge University Press, 2006. T.M. Apostol, Calculus, VolII, Wiley India Pvt. Ltd., 2011. J. Edwards, An elementary treatise on the differential calculus: with applications and numerous examples, Reprint, Charleston, USA: BiblioBazaar, 2010. N. P. Bali, Differential Calculus, New ed. New Delhi, India: Laxmi Publications (P) Ltd., 2012.  
Evaluation Pattern
 
MAT151  DIFFERENTIAL CALCULUS USING MAXIMA (2020 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 

Max Marks:50 
Credits:2 

Course Objectives/Course Description 

Course Description: The course Differential Calculus Using wxMaxima is aimed at enabling the students to appreciate and understand core concepts of Differential Calculus with the help of the free and open source mathematical software Maxima. It is designed to gain hands on experience in using MAXIMA to perform plotting of standard curves, to find limits of a function, illustrate differentiability and solve applied problems on differentiation. Course objectives: This course will help the learner to COBJ1. Acquire skill in solving problems on Differential Calculus using MAXIMA. 

Learning Outcome 

On successful completion of the course, the students should be able to CO1. Acquire proficiency in using MAXIMA to study Differential Calculus. 
Unit1 
Teaching Hours:30 

Proposed Topics


 
Text Books And Reference Books:
 
Essential Reading / Recommended Reading Sandeep Koranne, Handbook of Open Source Tools, Springer Science & Business Media, 2010.  
Evaluation Pattern The course is evaluated based on continuous internal assessments (CIA) and the lab erecord. The parameters for evaluation under each component and the mode of assessment are given below.
 
MAT151N  DIFFERENTIAL CALCULUS USING MAXIMA (2020 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 

Max Marks:50 
Credits:2 

Course Objectives/Course Description 

The course Differential Calculus Using Maxima is aimed at enabling the students to appreciate and understand core concepts of Differential Calculus with the help of the free and open source mathematical software Maxima. It is designed to gain hands on experience in using MAXIMA to perform plotting of standard curves, to find limits of a function, illustrate differentiability and solve applied problems on differentiation. 

Learning Outcome 

CO1. Acquire proficiency in using MAXIMA to study Differential Calculus. CO2. Demonstrate the use of MAXIMA to understand and interpret the core concepts various types of functions from the algebraic and graphical points of view. CO3. Use MAXIMA to evaluate limits of functions and check for continuity graphically as well as algebraically. CO4. Be familiar with the builtin functions to find derivatives of any order and solve application problems dealing with the concept of rate of change. CO5. Sketch graphs of standard curves using MAXIMA to interpret tracing of curves. 
Unit1 
Teaching Hours:30 

Proposed Topics


1. Introduction to MAXIMA 2. Sketch the graph of various functions: explicitimplicitparametricpolar. 3. Evaluation of limits using builtin function in maxima and illustration of the same graphically. 4. Demonstration of continuous functions and types of discontinuities. 5. Determination of derivatives.  graphical interpretation of derivatives. 6. Verification of mean value theorems. 7. Evaluation of extreme points, maxima and minima. 8. Calculation of nth derivatives of functions 9. Partial differentiation of functions of two variables. 10. Tracing of curves. 11. Applications of differentiation  
Text Books And Reference Books: Zachary Hannan, wxMaxima for Calculus I (Creative Commons AttributionNonCommercialShare Alike 4.0 International), Solano Community College, Edition 1.0 Publisher, Published June 17, 2015. Zachary Hannan, wxMaxima for Calculus II (Creative Commons AttributionNonCommercialShare Alike 4.0 International), Solano Community College, Edition 1.0 Publisher, Published June 17, 2015.  
Essential Reading / Recommended Reading Sandeep Koranne, Handbook of Open Source Tools, Springer Science & Business Media, 2010.  
Evaluation Pattern
 
SAN121  SANSKRIT (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 

Max Marks:100 
Credits:3 

Course Objectives/Course Description 

The I semeste B.A/B.Sc students are prescribed wih the text " Ruthusamharam" Strotra shithya 

Learning Outcome 

The students will have exposure for the style of poetry. Ruthusamhara is the work based on the nature which makes the students to understand about changes in nature 
Unit1 
Teaching Hours:30 
test


poery Buddhacharitham III canto, up to 52 stanzas. Level of Knowledge: Conceptual/ descriptive/ Analytical.  
Unit1 
Teaching Hours:35 
Ruthusamharam


Ruthusamharam Strotra sahithya  
Unit2 
Teaching Hours:5 
Grammar


Grammar Grammer Sandhis and lakaras Level of Knowledge: Analytical /Conceptual  
Unit3 
Teaching Hours:5 
. Language component.


language component. Translation from Sanskrit to english Level of Knowledge: Analytical/. Conceptual Composition to write in Sanskrit Level of Knowledge: Analytical/. Conceptual Comprehension in Sanskrit Level of Knowledge: Analytical/. Conceptual  
Text Books And Reference Books:
Ruthusamharam Strotra sahitya : Madhurashtaka and Geeta govinda M.S. Subbalakshmi , Balamurali Krishna  
Essential Reading / Recommended Reading 1) Ruthusamharam Shivaprasad Dvivedi 2) Ruthusamharam Dr. K . Narayanabhatta 3) sanskrit grammar Translation from English to Sanskrit by M.R.Kale 4) Sanskrt Grammar Kannada version by Hegde.  
Evaluation Pattern CIA 1 Wikipedia assignment Evaluated for 20 marks CIA 2 Midsemester examination Evaluated for 50 marks CIA 3 Wikipedia assignment Evaluated for 20 marks End semester Evaluated for 50 marks
 
STA131  DESCRIPTIVE STATISTICS AND PROBABILITY (2020 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

This course is designed to introduce the historical development of statistics, presentation of data, descriptive measures and fitting mathematical curves for the data.


Learning Outcome 

CO1:Demonstrate the history of statistics and present the data in various forms. CO2:Infer the concept of correlation and regression for relating two or more related variables. CO3:Demonstrate the probabilities for various events.

Unit1 
Teaching Hours:10 

Organization and presentation of data


 
Unit2 
Teaching Hours:15 

Descriptive Statistics


Measures of location or central tendency: Arthimetic mean, Median, Mode, Geometric mean,  
Unit3 
Teaching Hours:10 

Correlation


Correlation: Scatter plot, Karl Pearson coefficient of correlation, Spearman's rank correlation coefficient, multiple and partial correlations (for 3 variates only). Regression: Concept of errors, Principles of Least Square, Simple linear regression and its properties.  
Unit4 
Teaching Hours:15 

Basics of probability


Random experiment, sample point and sample space, event, algebra of events. Definition of Probability: classical, empirical and axiomatic approaches to probability, properties of probability. Theorems on probability, conditional probability and independent events, Laws of total probability, Baye’s theorem and its applications.  
Unit5 
Teaching Hours:10 

Association of attributes


Relation between class frequencies, consistency of data, independence of attributes, criterion of independence, association of attributes: Yule’s coefficient of association, Yule’coefficient of colligation.  
Text Books And Reference Books: 1. Rohatgi V.K and Saleh E, An Introduction to Probability and Statistics, 3 rd edition, John  
Essential Reading / Recommended Reading 1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015.  
Evaluation Pattern
 
STA131N  DESCRIPTIVE STATISTICS AND PROBABILITY (2020 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 

Max Marks:100 
Credits:4 

Course Objectives/Course Description 

This course is designed to introduce the historical development of statistics, presentation of data, descriptive measures and fitting mathematical curves for the data. This course also introduces measurement of relationship of quantitative and qualitative data and the concept of probability. 

Learning Outcome 

CO1:To enable the students understand and apply the descriptive measures and probability for data analysis. CO2: Implement theoritical concepts of descriptive measures and probability 
Unit1 
Teaching Hours:10 
Organization and presentation of data


Origin and development of Statistics, Scope, limitation and misuse of statistics. Types of data: primary, secondary, quantitative and qualitative data. Types of Measurements: nominal, ordinal, discrete and continuous data. Presentation of data by tables: construction of frequency distributions for discrete and continuous data, graphical representation of a frequency distribution by histogram and frequency polygon, cumulative frequency distributions (inclusive and exclusive methods).  
Unit2 
Teaching Hours:15 
Descriptive Statistics


Measures of location or central tendency: Arthimetic mean, Median, Mode, Geometric mean, Harmonic mean. Partition values: Quartiles, Deciles and percentiles. Measures of dispersion: Mean deviation, Quartile deviation, Standard deviation, Coefficient of variation. Moments: measures of skewness, Kurtosis  
Unit3 
Teaching Hours:10 
Correlation


Correlation: Scatter plot, Karl Pearson coefficient of correlation, Spearman's rank correlation coefficient, multiple and partial correlations (for 3 variates only).  
Unit4 
Teaching Hours:15 
Basics of probability


Random experiment, sample point and sample space, event, algebra of events. Definition of Probability: classical, empirical and axiomatic approaches to probability, properties of probability. Theorems on probability, conditional probability and independent events, Laws of total probability, Baye’s theorem and its applications.  
Unit5 
Teaching Hours:10 
Association of attributes


Relation between class frequencies, consistency of data, independence of attributes, criterion of independence, association of attributes: Yule’s coefficient of association, Yule’coefficient of colligation.  
Text Books And Reference Books: 1. Rohatgi V.K and Saleh E, An Introduction to Probability and Statistics, 3 rd edition, John Wiley & Sons Inc., New Jersey, 2015. 2. Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 11 th edition, Sultan Chand & Sons, New Delhi, 2014.  
Essential Reading / Recommended Reading 1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015. 2. Walpole R.E, Myers R.H, and Myers S.L, Probability and Statistics for Engineers and Scientists, Pearson, New Delhi, 2017. 3. Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, Wiley India, New Delhi, 2013. 4. Mood A.M, Graybill F.A and Boes D.C, Introduction to the Theory of Statistics, McGraw Hill, New Delhi, 2008.  
Evaluation Pattern Component Marks CIA I 10 Mid Semester Examination (CIA II) 25 CIA III 10 Attendance 05 End Semester Exam 50 Total 100  
STA151  DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL (2020 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:50 
Credits:2 
Course Objectives/Course Description 

The course is designed to provide a practical exposure to the students in Basic concepts of Excel and different way of representation of data. 

Learning Outcome 

CO1:Understand data and analysis CO2: Implement EXCEL in given data set CO3: Create a research statement and collect data related to the statement along with the representation of data and 
Unit1 
Teaching Hours:30 

List of practical assignments


1. 1. Questionnaire preparation, data collection and data base creation using Excel sheet 2. Basic data manipulation techniques: sorting, filtering, conditional formatting 3. Pivot Table construction 4. Diagrammatic representation 5. Graphical representation 6. Descriptive statistics using statistical functions 7. Data Analysis Pack (DAP) 8. Correlation and Correlation matrix 9. Exercise on partial and multiple correlation coefficient. 10. Regression analysis and their significance 11. Linear Curve estimation 12. Second order Polynomial Curve estimation  
Text Books And Reference Books:
1. Rohatgi V.K and Saleh E, An Introduction to Probability and Statistics, 3^{rd} edition, John Wiley & Sons Inc., New Jersey, 2015. 2. Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 11^{th} edition, Sultan Chand & Sons, New Delhi, 2014.  
Essential Reading / Recommended Reading
1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015. 2. Walpole R.E, Myers R.H, and Myers S.L, Probability and Statistics for Engineers and Scientists, Pearson, New Delhi, 2017. 3. Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, Wiley India, New Delhi, 2013. 4. Mood A.M, Graybill F.A and Boes D.C, Introduction to the Theory of Statistics, McGraw Hill, New Delhi, 2008.  
Evaluation Pattern
 
STA151N  DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL (2020 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 

Max Marks:50 
Credits:2 

Course Objectives/Course Description 

The course is designed to provide a practical exposure to the students in Basic concepts of Excel and different way of representation of data. 

Learning Outcome 

CO1:Understand data and analysis CO2: Implement EXCEL in given data set CO3: Create a research statement and collect data related to the statement along with the representation of data and practical exposure on DAP. 
Unit1 
Teaching Hours:30 

List of practical assignments


1. Questionnaire preparation, data collection and data base creation using Excel sheet 2. Basic data manipulation techniques: sorting, filtering, conditional formatting 3. Pivot Table construction 4. Diagrammatic representation 5. Graphical representation 6. Descriptive statistics using statistical functions and Data Analysis Pack (DAP) 7. Exercise on correlation and Correlation matrix 8. Exercise on partial and multiple correlation coefficients.  
Text Books And Reference Books: 1. Rohatgi V.K and Saleh E, An Introduction to Probability and Statistics, 3rd edition, John Wiley & Sons Inc., New Jersey, 2015. 2. Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 11th edition, Sultan Chand & Sons, New Delhi, 2014.  
Essential Reading / Recommended Reading 1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015. 2. Walpole R.E, Myers R.H, and Myers S.L, Probability and Statistics for Engineers and Scientists, Pearson, New Delhi, 2017. 3. Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, Wiley India, New Delhi, 2013. 4. Mood A.M, Graybill F.A and Boes D.C, Introduction to the Theory of Statistics, McGraw Hill, New Delhi, 2008.  
Evaluation Pattern
 
TAM121  TAMIL (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 

Max Marks:100 
Credits:3 

Course Objectives/Course Description 

Poems of Bharatiyar and Bharatidasan and poems by women poets with feminine sensibilities will initiate the students into the modern period with all its complexities. The short stories by Ambai offers a matured vision of life through a varied characters and situatins. A new concept, Cultural Studies, will take the students beyond prescribed syllabus to include music, theatre, painting and films out of whcih the art form of music is taken up for the first semester. 

Learning Outcome 
