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1 Semester - 2022 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
AEN121 | ADDITIONAL ENGLISH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
CSC131 | PROGRAMMING USING C AND DIGITAL COMPUTER FUNDAMENTALS | Core Courses | 4 | 4 | 100 |
CSC151 | C PROGRAMMING LAB | Core Courses | 2 | 2 | 50 |
ENG121 | ENGLISH - I | Ability Enhancement Compulsory Courses | 3 | 2 | 100 |
FRN121 | FRENCH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
HIN121 | HINDI | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
KAN121 | KANNADA | Ability Enhancement Compulsory Courses | 3 | 03 | 100 |
MAT131 | DIFFERENTIAL CALCULUS | Core Courses | 4 | 4 | 100 |
MAT151 | INTRODUCTION TO PYTHON PROGRAMMING-I | Core Courses | 2 | 2 | 50 |
SAN121 | SANSKRIT | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
STA131 | DESCRIPTIVE STATISTICS AND PROBABILITY | Core Courses | 4 | 4 | 100 |
STA151 | DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL | Core Courses | 2 | 2 | 50 |
TAM121 | TAMIL | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
2 Semester - 2022 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
AEN221 | ADDITIONAL ENGLISH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
CSC231 | DATA STRUCTURES AND OPERATING SYSTEMS | Core Courses | 4 | 4 | 100 |
CSC251 | DATA STRUCTURES LAB | Core Courses | 2 | 2 | 50 |
ENG221 | ENGLISH - II | Ability Enhancement Compulsory Courses | 3 | 2 | 100 |
FRN221 | FRENCH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
HIN221 | HINDI | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
KAN221 | KANNADA | Ability Enhancement Compulsory Courses | 3 | 03 | 100 |
MAT231 | DIFFERENTIAL EQUATIONS | Core Courses | 4 | 4 | 100 |
MAT251 | INTRODUCTION TO PYTHON PROGRAMMING-II | Core Courses | 2 | 2 | 50 |
SAN221 | SANSKRIT | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
STA231 | PROBABILITY DISTRIBUTIONS | Core Courses | 4 | 4 | 100 |
STA251 | PROBABILITY DISTRIBUTIONS PRACTICAL | Core Courses | 2 | 2 | 50 |
STA271 | R PROGRAMMING | Core Courses | 4 | 4 | 100 |
TAM221 | TAMIL | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
3 Semester - 2021 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
AEN321 | ADDITIONAL ENGLISH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
CSC331 | DATABASE MANAGEMENT SYSTEM AND SOFTWARE ENGINEERING | Core Courses | 4 | 4 | 100 |
CSC351 | PYTHON PROGRAMMING LAB | Core Courses | 2 | 2 | 50 |
ENG321 | ENGLISH-III | Ability Enhancement Compulsory Courses | 3 | 2 | 100 |
FRN321 | FRENCH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
HIN321 | HINDI | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
KAN321 | KANNADA | Ability Enhancement Compulsory Courses | 3 | 03 | 100 |
MAT331 | REAL ANALYSIS | Core Courses | 4 | 4 | 100 |
MAT351 | PYTHON PROGRAMMING FOR MATHEMATICS | Core Courses | 2 | 2 | 50 |
SAN321 | SANSKRIT | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
STA331 | STATISTICAL INFERENCE | Core Courses | 4 | 4 | 100 |
STA351 | STATISTICAL INFERENCE PRACTICAL | Core Courses | 2 | 2 | 50 |
STA371 | APPLIED EXCEL | Core Courses | 4 | 4 | 100 |
TAM321 | TAMIL | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
4 Semester - 2021 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
AEN421 | ADDITIONAL ENGLISH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
CSC431 | COMPUTER NETWORKS AND JAVA PROGRAMMING | Core Courses | 4 | 4 | 100 |
CSC451 | JAVA PROGRAMMING LAB | Core Courses | 2 | 2 | 50 |
ENG421 | ENGLISH-IV | Ability Enhancement Compulsory Courses | 3 | 2 | 100 |
FRN421 | FRENCH | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
HIN421 | HINDI | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
KAN421 | KANNADA | Ability Enhancement Compulsory Courses | 3 | 03 | 100 |
MAT431 | ALGEBRA | Core Courses | 4 | 4 | 100 |
MAT451 | PYTHON PROGRAMMING FOR MATHEMATICAL MODELLING | Core Courses | 2 | 2 | 50 |
SAN421 | SANSKRIT | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
STA431 | ELEMENTS OF STOCHASTIC PROCESS | Core Courses | 4 | 4 | 100 |
STA451 | ELEMENTS OF STOCHASTIC PROCESS PRACTICAL | Core Courses | 2 | 2 | 50 |
TAM421 | TAMIL | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
5 Semester - 2020 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
CSC541A | DATA ANALYTICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC541B | INTERNET OF THINGS | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC541C | DIGITAL IMAGE PROCESSING | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC541D | BUSINESS INTELLIGENCE | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC542A | UNIX OPERATING SYSTEM | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC542B | WEB TECHNOLOGY | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC542C | MOBILE APPLICATIONS | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC542D | GRAPHICS AND ANIMATION | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC542E | .NET TECHNOLOGY | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC551A | DATA ANALYTICS LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC551B | INTERNET OF THINGS LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC551C | DIGITAL IMAGE PROCESSING LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC551D | BUSINESS INTELLIGENCE LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC552A | UNIX OPERATING SYSTEM LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC552B | WEB TECHNOLOGY LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC552C | MOBILE APPLICATIONS LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC552D | GRAPHICS AND ANIMATION LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
CSC552E | .NET TECHNOLOGY LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT531 | LINEAR ALGEBRA | Core Courses | 3 | 3 | 100 |
MAT541A | INTEGRAL TRANSFORMS | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT541B | MATHEMATICAL MODELLING | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT541C | GRAPH THEORY | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT541D | CALCULUS OF SEVERAL VARIABLES | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT541E | OPERATIONS RESEARCH | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT551 | LINEAR ALGEBRA USING PYTHON | Core Courses | 2 | 2 | 50 |
MAT551A | INTEGRAL TRANSFORMS USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT551B | MATHEMATICAL MODELLING USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT551C | GRAPH THEORY USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT551D | CALCULUS OF SEVERAL VARIABLES USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT551E | OPERATIONS RESEARCH USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA531 | LINEAR REGRESSION MODELS | Core Courses | 3 | 3 | 100 |
STA541A | SAMPLING TECHNIQUES | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA541B | DESIGN OF EXPERIMENTS | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA541C | ACTUARIAL STATISTICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA541D | INTRODUCTION TO SPATIAL STATISTICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA551 | LINEAR REGRESSION MODELS PRACTICAL | Core Courses | 2 | 2 | 50 |
STA552A | SAMPLING TECHNIQUES PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA552B | DESIGN OF EXPERIMENTS PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA552C | ACTUARIAL STATISTICS PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA552D | SPATIAL STATISTICS PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
VDSS511 | INTRODUCTION TO LINUX | - | 2 | 0 | 0 |
6 Semester - 2020 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
CSC631 | DESIGN AND ANALYSIS OF ALGORITHMS | Core Courses | 3 | 3 | 100 |
CSC641A | INTRODUCTION TO SOFT COMPUTING | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC641B | CLOUD COMPUTING | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC641C | COMPUTER ARCHITECTURE | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC641D | OOAD USING UML | Discipline Specific Elective Courses | 4 | 4 | 100 |
CSC641E | USER EXPERIENCE DESIGN(UX) | Discipline Specific Elective Courses | 3 | 3 | 100 |
CSC681 | MAIN PROJECT | Core Courses | 4 | 4 | 100 |
MAT631 | COMPLEX ANALYSIS | Core Courses | 3 | 3 | 100 |
MAT641A | MECHANICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT641B | NUMERICAL METHODS | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT641C | DISCRETE MATHEMATICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT641D | NUMBER THEORY | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT641E | FINANCIAL MATHEMATICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
MAT651 | COMPLEX ANALYSIS USING PYTHON | Core Courses | 2 | 2 | 50 |
MAT651A | MECHANICS USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT651B | NUMERICAL METHODS USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT651C | DISCRETE MATHEMATICS USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT651D | NUMBER THEORY USING PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT651E | FINANCIAL MATHEMATICS USING EXCEL AND PYTHON | Discipline Specific Elective Courses | 2 | 2 | 50 |
MAT681 | PROJECT ON MATHEMATICAL MODELS | Core Courses | 5 | 5 | 150 |
STA631 | TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES | Core Courses | 3 | 3 | 100 |
STA641A | APPLIED STATISTICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA641B | STATISTICAL QUALITY CONTROL | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA641C | BIOSTATISTICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA641D | STATISTICAL GENETICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
STA651 | TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES PRACTICAL | Core Courses | 2 | 2 | 50 |
STA652A | APPLIED STATISTICS PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA652B | STATISTICAL QUALITY CONTROL PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA652C | BIOSTATISTICS PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
STA652D | STATISTICAL GENETICS PRACTICAL | Discipline Specific Elective Courses | 2 | 2 | 50 |
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Introduction to Program: | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bachelor of Science (BSc - Computer Science, Mathematics ,Statistics) is a 3-year 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) tools and the computer language "Python" are introduced. Students find better perceptions of the classical courses like Linear Algebra, Complex Analysis and the elective courses. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Programme Outcome/Programme Learning Goals/Programme Learning Outcome: PO1: Understand and apply the fundamental principles, concepts and methods in key areas of science and multidisciplinary fieldsPO2: 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 Outcome: PSO1: Apply the theoretical concepts to design and develop softwarePSO2: 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 for mathematical modelling PSO7: Develop industry-focused skills to lead a successful career | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Assesment Pattern | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Exam pattern for theory
For Mathematics Practical Courses: The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below:
Exam Pattern for practical
Total Marks : 50 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
Examination And Assesments | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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AEN121 - ADDITIONAL ENGLISH (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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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. Non-Resident 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 sub-continental 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 sub-continent 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 socio-economic, cultural and political issues that are relevant to modern day India and the Indian sub-continent and will enable students to comprehend issues of identity-politics, 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 North-Eastern 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)
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Course Outcome |
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CO1 CO 2: iv) Understand the cultural, social, religious and ethnic diversities of India v) it will be able to be analytical and critical of the pluralistic society they live in through the activities and assignments conducted vi) be aware of the dynamics of gender, identity, communalism and politics of this vast nation through its literature. |
Unit-1 |
Teaching Hours:10 |
Poetry
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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” | |
Unit-2 |
Teaching Hours:15 |
Short Stories
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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” | |
Unit-3 |
Teaching Hours:20 |
Essays
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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”
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Text Books And Reference Books: Contemporary knowledge of the soci-political situation in the sub-continent The text book copy "Reading Diversity" | |
Essential Reading / Recommended Reading On-line 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: Mid-semester 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 (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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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 sequential circuits. |
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Course Outcome |
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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. |
Unit-1 |
Teaching Hours:6 |
Introduction
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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.
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Unit-2 |
Teaching Hours:6 |
Control Structure
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The Decision Control Structure - The if Statement- if-else Statement- Nested if-else Use of Logical Operators - ! Operator - Decisions Using switch - The Loop Control Structure While Loop - for Loop - break Statement - continue Statement- do-while Loop. | |
Unit-3 |
Teaching Hours:6 |
Arrays
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A Simple Program Using Array - Array Initialization - Two Dimensional Arrays- Initializing a 2-Dimensional Array - Memory Map of a 2-Dimensional Array – Strings - Standard Library String Functions - strlen( ) - strcpy( ) - strcat() - strcmp() - Two-Dimensional Array of Characters. | |
Unit-4 |
Teaching Hours:6 |
Functions & Pointers
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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. | |
Unit-5 |
Teaching Hours:6 |
Macros and Structures
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Introduction to macros, Structures - Declaring a Structure - Accessing Structure Elements - How Structure Elements are stored. | |
Unit-6 |
Teaching Hours:7 |
Introduction to Computers & Number systems
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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
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Unit-7 |
Teaching Hours:6 |
Boolean Algebra
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Boolean operations and expressions, Laws and rules of boolean algebra, Demorgan’s Theorem, Boolean expressions, Simplification of Booleanexpression. | |
Unit-8 |
Teaching Hours:6 |
Logic Gates
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OR gate, NOR gate , NOT gate , AND gate, NAND gate X-OR gate , X-NOR gate, The universal property of NOR and NAND gate, Karnaugh map (SOP). | |
Unit-9 |
Teaching Hours:5 |
Combinational logic
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Adders (Half and Full), Decoder, Encoder, Multiplexer, De-Multiplexer (Introductory ConceptsOnly).
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Unit-10 |
Teaching Hours:6 |
Flip-Flops
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Flip-flops- SR flip-flop, JK flip-flop, Master slave JK flip-flop, Introduction to Registers andCounters.
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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, Tata-McGraw-Hill, 2007. [3] Deitel H M and Deitel P J, C - How to Program, 7th Edition, Prentice-Hall, 2012. [4] Susant K Rout, Cimple,C, Tata-McGraw-Hill 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 CIA-50% ESE-50% | |
CSC151 - C PROGRAMMING LAB (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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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. |
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Course Outcome |
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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 |
Unit-1 |
Teaching Hours:30 |
List of programs
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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, Tata-McGraw-Hill, 2007. [3] Deitel H M and Deitel P J, C - How to Program, 7th Edition, Prentice-Hall, 2012. [4] Susant K Rout, Cimple,C, Tata-McGraw-Hill Publishing Company Ltd., 2016. | |
Evaluation Pattern CIA - 50% ESE - 50% | |
ENG121 - ENGLISH - I (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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· 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. |
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Course Outcome |
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CO1: Understand how to engage with texts from various countries, historical, cultural specificities, and politics CO2: Understand and develop the ability to reflect upon and comment on texts with various themes CO3: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class CO4: Develop the ability to communicate both orally and in writing for various purposes |
Unit-1 |
Teaching Hours:6 |
language
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Common errors- subject-verb agreement, punctuation, tense errors
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Unit-1 |
Teaching Hours:6 |
Unit 1 1. The Happy Prince By Oscar Wilde 2. Shakespeare Sonnet 18
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Unit-2 |
Teaching Hours:6 |
unit 2
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1. Why We Travel-Pico Iyer 2. What Solo Travel Has Taught Me About the World – and Myself -ShivyaNath- Blogpost
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Unit-2 |
Teaching Hours:6 |
language
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sentence fragments, dangling modifiers, faulty parallelism, | |
Unit-3 |
Teaching Hours:6 |
language
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Note taking | |
Unit-3 |
Teaching Hours:6 |
unit 3
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1. Thinking Like a Mountain By Aldo Leopold 2. Short Text: On Cutting a Tree By Gieve Patel | |
Unit-4 |
Teaching Hours:6 |
language
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Paragraph writing | |
Unit-4 |
Teaching Hours:6 |
unit 4
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1. Violence in the name of God is Violence against God By Rev Dr Tveit
2. Poem: Holy Willie's Prayer By Robert Burns | |
Unit-5 |
Teaching Hours:6 |
unit 5
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1. The Story of B24 By Sir Arthur Conan Doyle 2. Short Text: Aarushi Murder case
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Unit-5 |
Teaching Hours:6 |
Language
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Newspaper report | |
Unit-6 |
Teaching Hours:6 |
Language
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Essay writing | |
Unit-6 |
Teaching Hours:6 |
unit 6
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1.Long text:My Story- Nicole DeFreece
2. short text: Why You Should Never Aim for Six Packs
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Unit-7 |
Teaching Hours:6 |
unit 7
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1.Long Text: Sir Ranjth Singh- Essay by SouravGanguly 2. Short text: Casey at the Bat- Ernest Lawrence Thayer | |
Unit-7 |
Teaching Hours:6 |
Language
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Paraphrasing and interpretation skills | |
Unit-8 |
Teaching Hours:3 |
visual text
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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 | |
FRN121 - FRENCH (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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French as a second language in the UG program. The method Génération A1 consists of a student's book and an activity book, both included in the digital manual. It consists of 6 units preceded by an initial section of 'Welcome'. The structure of each unit marks a real learning journey.
Course Objectives · To develop linguistic competencies and sharpen oral and written communicative skills · To familiarize learners to certain aspects of francophone civilization. · To enable learners to engage in simple everyday situations |
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Course Outcome |
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CO1: To train the students in correct pronunciation of French. CO2: To enable students to write correct sentences with appropriate grammar structure and vocabulary. CO3: To familiarise students with the culture and expressions in French. CO4: To enhance oral and written comprehension in French. CO5: To make them proficient in reading, writing, listening and speaking skills in French. |
Unit-1 |
Teaching Hours:10 |
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I discover
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Lexicon – Countries and nationalities, domestic animals, days of the week Grammar -Subject pronouns, verbs ‘to be’ and ‘to have’, definite and indefinite articles Speech acts – Greeting, asking how one is
Lesson 2: Hello, my name is Agnes. Lexicon – Months of the year, numbers 0-69, the family Grammar – Formation of the feminine / plural, possessive adjectives Speech acts -Introducing oneself and others, asking and saying dates
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Unit-2 |
Teaching Hours:5 |
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Les fables de la Fontaine
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La cigale et la fourmis (The grasshopper and the ant) | ||||||||||||||||||||||
Unit-3 |
Teaching Hours:10 |
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Culture: Physical and Political France
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Unit-4 |
Teaching Hours:5 |
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Les fables de la Fontaine
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Le renard et le corbeau (The fox and the crow) | ||||||||||||||||||||||
Unit-5 |
Teaching Hours:10 |
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Video Workshop: How cute he is!
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Unit-6 |
Teaching Hours:5 |
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Visual text
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A French movie | ||||||||||||||||||||||
Text Books And Reference Books: 1. Cocton, Marie-Noelle. Génération A1. Paris : Didier, 2016 2. De Lafontaine, Jean. Les Fables de la Fontaine. Paris, 1668 | ||||||||||||||||||||||
Essential Reading / Recommended Reading French websites like Bonjour de France, Fluent U French, Learn French Lab, Point du FLE etc | ||||||||||||||||||||||
Evaluation Pattern
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HIN121 - HINDI (2022 Batch) | ||||||||||||||||||||||
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
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Max Marks:100 |
Credits:3 |
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Course Objectives/Course Description |
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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 sangeeth-parampara 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: Students will be exposed to read, analyse and appreciate poems by learning poetry. Through translation, students will be able to develop translation skills while translating from other language articles. Students will be able to analyses critically the different cultural art forms by learning about the Famous cultural art forms of India. |
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Course Outcome |
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CO1 : Improve the analytical skills through critical analysis of the poems. CO2: Analyze the different aspects of Hindustani musical traditions and musicians. CO3: Enhance the translation skills. CO4: Improve the basic research skills while doing the CIAs. |
Unit-1 |
Teaching Hours:15 |
Samakaleen Hindi Kavitha (Collection of contemporary Hindi Poems),Kabir Ke Dohe and Sur Ke Pad.
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’ Samakaleen Hindi Kavitha (Collection ofcontemporary Poems) Edited By: Mahendra Kulashreshta Rajpal and Son’s, New Delhi
Level of knowledge: Analytical
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Unit-2 |
Teaching Hours:10 |
Translation-Theory and Practice
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Translation-Practice English to Hindi and vice- versa. | |
Unit-3 |
Teaching Hours:10 |
Bharath ki pramukh sanskruthic kalayen-
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Ramleela,Krishnaleela,Yakshagaana,kathakali. | |
Unit-4 |
Teaching Hours:10 |
Hindusthani Sangeeth-parampara evam pramukh kalakar
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Utbhav,Vikas aur paramparaein Pramukh Sangeethkar-1.Bhimsen Joshi 2.Gulam Ali 3.Pandit Ravishankar 4. Bismillah Khan. | |
Text Books And Reference Books:
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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, Agra-2 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.
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Evaluation Pattern CIA-1(Digital learning-Editing of Hindi article in Hindi Wikipedia )-20 marks CIA-2(Mid semester examination)-50 marks CIA-3(Digital learning-article creation in Hindi Wikipedia)-20 marks End sem examination-50 marks | |
KAN121 - KANNADA (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:03 |
Course Objectives/Course Description |
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The course is taught in the I Semester for BA/B.Sc. students. The selected Poems (Vachanas & Keerthanas ) from Medieval Literature & Modern Kannada ( Navodaya) literature are prescribed. Texts will help students to understand the writings of Poets as well as story writers. Short stories of Sara Abubakar, Ravindranath Tagore, and K.P. Poornachandra Tejaswi & Folk tales are prescribed. The syllabus will extend the concerns of family, family relationship, social justice and marginalization. Students should be able to comprehend and respond with grammatical accuracy to spoken and written Kannada as well as to demonstrate cultural awareness.
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Course Outcome |
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CO1: to understand the values in Medieval Kannada Literature. CO2: to appreciate the aesthetic aspects of music in Keerthana CO3 : to understand the art of developing short stories
CO4: to imbibe the cultural aspects in Modern Kannada Stories CO5 : improves reading, writing and speaking skills |
Unit-1 |
Teaching Hours:15 |
Kannada Sahitya Samakshama
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1. Vachanagalu (a) Devaradasimayya (b) Basavanna (c) Allamaprabhu (d) Akkamahadvi (e) Gajesha Masaniyya (f) Aydakki Lakkamma 2. Keerthanegalu (a) Purandaradasa (b) Kanakadasa 3. B.M.Srikantiah- Kariheggadeya Magalu 4. Mumbai Jataka- G.S. Shivarudrappa
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Unit-2 |
Teaching Hours:15 |
Selected Short Stories
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1. Chappaligalu- Sa Ra Abubakar 2. Mandannana Marriage- Poornachandra Tejaswi 3. Giliya Kathe- Ravindranatha Tagore 4. Dheerakumara- Janapada Kathe
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Unit-3 |
Teaching Hours:15 |
Language Skills
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1. Translation ( Passages from English to Kannada & Kannada to English) 2. Usage of alphabets in different contexts: 3. l & L 4. a & H 5. n & N 6. Hrasva and Deergha alphabets 7. Ottaksharas
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Text Books And Reference Books:
1. Basavannanavara vachanagalu: L. Basavarjaju
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Essential Reading / Recommended Reading 1. A comparative study of Sarana and Dasa literature, P. S Srinivasa,University of Madras (1981) 2. Sharanara Anubhava Sahitya- H. Thipperudraswamy 3. Vachana Kammata: (Ed) K. Marulasiddappa and K. R. Nagaraj 4. Basavanna: M. Chidananda Murthy 5. Kanaka Kirana: Ka.Ta. Chikkanna 6. Kannada Sanna Kathegalu: G.H. Nayak | |
Evaluation Pattern CIA-1 Wikipedia - Knowledge of regional language - Typing skills (20 Marks) CIA-2 Mid Semester Exams (50 Marks) CIA-3 Texting Self introduction in Sand box (20 Marks) End Semester Exams ( 50 Marks) | |
MAT131 - DIFFERENTIAL CALCULUS (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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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. |
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Course Outcome |
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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. |
Unit-1 |
Teaching Hours:20 |
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Limits, Continuity and Differentiability
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Functions, limit of a function, precise definition of a limit, limit laws, one sided limits, continuity, types of discontinuities, limits involving infinity, asymptotes of graphs, properties of continuous functions on a closed interval, boundedness theorem, extreme value theorem, sign preserving property of continuous functions, intermediate value theorem, differentiability, derivative as a rate of change, differentiability implies continuity, chain rule. | |||||||||||||||||||||||||||||
Unit-2 |
Teaching Hours:20 |
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Application of Derivatives and Successive Differentiation
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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, series expansions, indeterminate forms, curvature and radius of curvature, singular points, successive differentiation, nth derivatives of functions, Leibnitz theorem and its applications. | |||||||||||||||||||||||||||||
Unit-3 |
Teaching Hours:20 |
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Partial Differentiation
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Functions of several variables, limits and continuity for functions of two variables, partial derivatives, the chain rule, homogeneous functions, Euler’s theorem, extreme values and saddle points, Taylor's formula for two variables, Lagrange multipliers, partial derivatives with constrained variables, Jacobians. | |||||||||||||||||||||||||||||
Text Books And Reference Books:
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Essential Reading / Recommended Reading
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Evaluation Pattern
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MAT151 - INTRODUCTION TO PYTHON PROGRAMMING-I (2022 Batch) | |||||||||||||||||||||||||||||
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
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Max Marks:50 |
Credits:2 |
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Course Objectives/Course Description |
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Course Description: Introduction to Python Programming-1 provides a foundational background for programming in a mathematical setting. Students will learn the basics of object orientated programming, algorithm, flow chart, memory storage, variable scoping, modules, objects and classes, and basic data structures. Course objectives: This course will help the learner to COBJ1: Acquire proficiency in using Python Programming. COBJ2: Demonstrate the use of Python to understand and interpret the some concepts in mathematics. |
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Course Outcome |
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CO1: Write algorithms, flow chart and codes. CO2: Use modules and functions in python language. CO3: Acquire proficiency in using conditional structures. CO4: Solve problems using control structures. CO5: Use python lists, tuples and dictionaries. CO6: Write small programs using python programming. |
Unit-1 |
Teaching Hours:30 |
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Proposed Topics:
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Text Books And Reference Books:
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Essential Reading / Recommended Reading
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Evaluation Pattern The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below.
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SAN121 - SANSKRIT (2022 Batch) | |||||||||||||||||||||||||||||
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
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Max Marks:100 |
Credits:3 |
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Course Objectives/Course Description |
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Janakiharana of Kumaradasa is the first Sanskrit mahakavya, so far as the extant literature goes, to deal solely with the whole of the Ramayana story. Its further interest is that it was produced in Ceylon, showing thereby the wider world over which Sanskrit had its sway. After manuscripts of the full text of the poem in twenty cantos had to come to light in South India, what is now presented was the first systematc and critical study to be undertaken to the author and the text and its position vis-a-vis other Mahakavyas. In addition to the above study and the critical edition of the cantos which were at that time unpublished the examination of the large number of extra-verses found in some MSS of the text and showing them as interpolations. |
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Course Outcome |
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CO1: To understand the theme of epics CO2: To develop new perspectives.. CO3: To appreciate the styles and thoughts of individual poets. CO4: To focus on the poetical, artistic, cultural and historical aspects of the poetic works. CO5: To enhance translation and interpretation skills.
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Unit-1 |
Teaching Hours:35 |
Janaki Haranam
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Selected shlokas 1-60 shlokas Janakiharana of Kumaradasa is the first Sanskrit mahakavya, so far as the extant literature goes, to deal solely with the whole of the Ramayana story. Its further interest is that it was produced in Ceylon, showing thereby the wider world over which Sanskrit had its sway. After manuscripts of the full text of the poem in twenty cantos had to come to light in South India, what is now presented was the first systematc and critical study to be undertaken to the author and the text and its position vis-a-vis other Mahakavyas. In addition to the above study and the critical edition of the cantos which were at that time unpublished the examination of the large number of extra-verses found in some MSS of the text and showing them as interpolations. | |
Unit-2 |
Teaching Hours:5 |
Grammar
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Sandhi prakaranam Swarsandhi and vyajanasandhi lakara´s
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Unit-3 |
Teaching Hours:5 |
Language skills
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Translate the given passage from english to sanskrit write an aritcle in sanskrit on the topic given | |
Text Books And Reference Books: Books for References: - 1) Janakiharanam of Kumaradasa edited by C K Swaminathan 2) Janakiharanam edited by G.R. Nandargikar 3) Sanskrit Grammar Translation from English to Sanskrit by M.R. Kale Sanskrit Grammar Kannada version by Satish Hegde. | |
Essential Reading / Recommended Reading Ramayana of Valmiki Champu Ramayana of Bhoja | |
Evaluation Pattern
CIA 1 Wikipedia assignments CIA 2 Mid semester examinations CIA 3 Wikipedia assignments | |
STA131 - DESCRIPTIVE STATISTICS AND PROBABILITY (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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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. |
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Course Outcome |
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CO1: Demonstrate the history of statistics and present the data in various forms. CO2: Apply the concept of correlation and regression for relating two or more related variables. CO3: Demonstrate the probabilities for various events. |
Unit-1 |
Teaching Hours:10 |
Organization and presentation of data
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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, ratio and scale - 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). | |
Unit-2 |
Teaching Hours:15 |
Descriptive Statistics
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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. | |
Unit-3 |
Teaching Hours:10 |
Correlation and Regression
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Correlation: Scatter plot - Karl Pearson coefficient of correlation - Spearman's rank coefficient of correlation - Regression: Concept of errors - Principles of Least Square - Simple linear regression and its properties - multiple and partial correlations (for 3 variates only). | |
Unit-4 |
Teaching Hours:15 |
Basics of Probability
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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. | |
Unit-5 |
Teaching Hours:10 |
Association of Attributes
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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. Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 12th edition, Sultan Chand & Sons, New Delhi, 2020. | |
Essential Reading / Recommended Reading 1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2018. 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, 7th Edition, Wiley India, New Delhi, 2018. 4. Agarwal B.L, Basic Statistics, 6th Edition, New Age International (P) Limited Publishers, 2018. | |
Evaluation Pattern CIA 50% ESE 50% | |
STA151 - DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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The course is designed to provide a practical exposure to the students in basic concepts of Statistics using EXCEL. |
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Course Outcome |
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CO1: Demonstrate the data entry and manipulation using EXCEL CO2: Demonstrate the given data graphically CO3: Demonstrate the basic statistical analysis for given data |
Unit-1 |
Teaching Hours:30 |
Practical Assignments using Excel:
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1. Basic data manipulation techniques: sorting, filtering, conditional formatting 2. Diagrammatic representation 3. Measures of central tendency using Excel functions 4. Measures of dispersion using Excel functions 5. Descriptive statistics using Data Analysis Pack (DAP) 6. Correlation and Correlation matrix 7. Regression analysis and their significance 8. Partial and multiple correlation coefficient 9. Calculation of probabilities of different events using probability properties 10. Calculation of posterior probabilities using Baye’s theorem 11. Construction of Pivot table 12. Calculation of consistency of data and Yule’s coefficient of association | |
Text Books And Reference Books:
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Essential Reading / Recommended Reading
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Evaluation Pattern CIA 50% ESE 50% | |
TAM121 - TAMIL (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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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. |
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Course Outcome |
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CO1: To make the students experience the impact made by Bharathiyar and Bharathidasan during the 20th century and to bring them to the realities of 21st century. CO2: They will also learn, on their own, about the nuances of music and a unique aesthetic experience it offers |
Unit-1 |
Teaching Hours:10 |
Modern Poetry- Bharathiyar
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1. Kannan yen sevagan 2. Kannan yen kozhandhai 3. Kannan yen vilayatu pillai 4. Kannan yen kadhalan 5. Kannan yen kadhali
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Unit-2 |
Teaching Hours:10 |
Bharathi dasan
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1. Kadal 2. Kundram 3. Nyaairu 4. Aal 5. Chittrur | |
Unit-3 |
Teaching Hours:10 |
Contemporary Cultural Issues
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Prose including reference to contemporary literary issues 1. Oru karupu silanthi udan oru iravu- Ambai Cultural studies, Indian festivals | |
Unit-4 |
Teaching Hours:10 |
Penniya kavithaigal
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1.Ottadai -Thamarai 2. Kapinaani thozhudhal- Ponmani vairamutu 3. Yendhan tozha- Subhathra 4. Kadal konda pen puram- Andal priya dharshini 5. Pen- P. Kalpana '
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Unit-5 |
Teaching Hours:2 |
Grammer- Language skills
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Pira mozhi chorkal | |
Unit-6 |
Teaching Hours:3 |
Common topic
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Isai | |
Text Books And Reference Books:
Malliga, R et al (ed).Thamilppathirattu I.Bangalore: Prasaranga,2011 ‘Oru Karuppuchilanthiyudan Or Iravu’ by Ambai,
published by Kalachuvadu Publications, Nagercoil, 2014
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Essential Reading / Recommended Reading
Varadarajan, Mu. Thamil Ilakkia Varalaru . New Delhi:Sahitya Akademi, 2008 Sivathambi, Ka.Thamil Sirukathaiyin Thorramum Valarchiyum.Coimbatore: NCBH, 2009 Ragunathan,C.Bharathi: Kalamum Karuthum, Chennai:NCBH, 1971
Ramakrishnan S 100 Sirantha Sirukathaigal, Chennai: Discovery Books, 2013
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Evaluation Pattern With a total of 100 marks, 50 marks will come from Continuous Internal Assessment (CIA) and the remaining 50 marks will come from end semester exanination. While the end semester examination will be fully theory based the CIA will consist of assignments, theatre production, book review and other activities | |
AEN221 - ADDITIONAL ENGLISH (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The second semester has a variety of writing from India, Pakistan and Srilanka. The various essays, short stories and poems deal with various socio-economic, cultural and political issues that are relevant to modern day India and the Indian sub-continent and will enable students to comprehend issues of identity-politics, 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. 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)
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Course Outcome |
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CO1 CO 2: iv) Understand the cultural, social, religious and ethnic diversities of India v) it will be able to be analytical and critical of the pluralistic society they live in through the activities and assignments conducted vi) be aware of the dynamics of gender, identity, communalism and politics of this vast nation through its literature. |
Unit-1 |
Teaching Hours:10 |
Poetry
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1. Jayanta Mahapatra “Grandfather”
2. Meena Alexander “Rites of Sense”
3. K.Satchidanandan “Cactus”
4. Jean Arasanayagam “Nallur” | |
Unit-2 |
Teaching Hours:15 |
Short Stories
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1. Temsula Ao “The Journey”
2. A. K Ramanujan “Annaya’s Anthropology”
3. Sundara Ramswamy “Waves”
4. Ashfaq Ahmed “Mohsin Mohalla”
5. T.S Pillai “In the Floods” | |
Unit-3 |
Teaching Hours:20 |
Essays
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1. Salman Rushdie “Gandhi Now”
2. Amartya Sen “Sharing the World”
3. Suketu Mehta “Country of the No”
4. Rahul Bhattacharya “Pundits From Pakistan” (An Excerpt) | |
Text Books And Reference Books: The textbook "Reading Diversity" | |
Essential Reading / Recommended Reading Online references for Comprehension Questions in the textbook | |
Evaluation Pattern Evaluation Pattern CIA 1: Classroom assignment/test for 20 marks keeping in tune with the course objectives and learning outcomes. CIA 2: Mid-semester 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 tune with the course objectives and learning outcomes.
Mid Semester Exam: 2 Hrs Section A: 4x5= 20 Section B: 2x15=30 Total 50 End Semester Exam: 2 hrs Section A: 5 x 5 = 25 Section B: 5 x 15= 75 Total 100
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CSC231 - DATA STRUCTURES AND OPERATING SYSTEMS (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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The course provides knowledge on the data storage techniques, accessing techniques, the various operations applied on the data and fundamental knowledge of operating system architecture and the various operations performed by the Operating system. This course helps the students to attain comprehensive understanding of programming and to acquire the knowledge on the different tasks like job scheduling, memory management, file handling done by operatingsystems. |
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Course Outcome |
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CO1: Understand the different Data Structures using C and the fundamental principles of operating system and system structure. CO2: To implement the different operations on the data structures and to evaluate the process scheduling, deadlock system and effective memory management CO3: To analyse the applications of data structures in real time applications CO4: To analyse the file structure, directory structure and allocation methods. |
Unit-1 |
Teaching Hours:6 |
Arrays
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Introduction to data structures- Arrays- Introduction, Array Operations, linear search – Binary search – insertion in an array– deletion in an array – sort – Bubble Sort - Insertion Sort - SelectionSort. | |
Unit-2 |
Teaching Hours:6 |
Linked List
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Introduction –Insertion – Deletion – Search - Double Linked List Representations. | |
Unit-3 |
Teaching Hours:6 |
Stack & Queue
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Introduction - Stack Operations using arrays and linked lists - Infix to Prefix - Queue Operations using array and linkedlist. | |
Unit-4 |
Teaching Hours:6 |
Binary Trees
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Introduction - Binary Trees- Properties of Binary Trees - Binary Tree Representations - Binary TreeTraversals. | |
Unit-5 |
Teaching Hours:6 |
Graphs
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Introduction – Definitions and terminology – graph representations – Depth first search – Breadth first search | |
Unit-6 |
Teaching Hours:6 |
Introduction and System Structures
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Operating system definition, computer system organization, architecture, structure and operations, process, memory and storage management.
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Unit-7 |
Teaching Hours:6 |
Process Management
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Process concepts, scheduling, operations on processes. Process Scheduling: Basic concepts, scheduling criteria, scheduling algorithms, Synchronization: Background, critical section problems. | |
Unit-8 |
Teaching Hours:6 |
Deadlock
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Deadlock System model, deadlock characterization, methods for handling deadlock, deadlock prevention, avoidance and detection. | |
Unit-9 |
Teaching Hours:6 |
Memory Management
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Memory Management Strategies: Background, swapping, Memory allocation, Paging, Structure of the pagetable. | |
Unit-10 |
Teaching Hours:6 |
File system
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File system structure, directory structure, allocation methods and free-space management. Self Learning : Segmentation, File system structure. | |
Text Books And Reference Books: [1] Yashwant Kanetkar, Data Structures through C, BPB Publication, 2nd edition, reprint 2016. [2] Silberschatz, P.B. Galvin and G. Gagne, Operating System Concepts, 9th Edition, New Delhi, Wiley India,2012. | |
Essential Reading / Recommended Reading [1] Horowitz Sahni Anderson-Freed, Fundamental of Data Structures in C, Universities Press, Reprint2009. [2] Seymour Lipschultz: Data Structures, Schaum series TMH,2010. [3] William Stallings, Operating system Internals and Design Principles, 7th Edition, Prentice Hall,2017. [4] Andrew S. Tanenbaum and Herbert Bos, Modern Operating Systems, 4th Edition, Pearson,2014. [5] H.M. Deitel, P. J. Deitel, D. R. Choffnes, Operating Systems, 3rd Edition, Pearson, 2007. | |
Evaluation Pattern CIA: 50% ESE: 50% | |
CSC251 - DATA STRUCTURES LAB (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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The course introduces programming approach and practical implementation of data structure concepts. The course aims to familiarize with practical and real time application of linear and Non-linear data structure. It provides the ability to identify, apply and evaluate relevant data structure concept for the given problems. |
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Course Outcome |
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CO1: Understand the need for Data Structures when building application CO2: To write diversified solutions for given problem CO3: Improve logical, analytical, problem solving skill using Cprogramming |
Unit-1 |
Teaching Hours:30 |
List of lab Programs
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1. Inserting an element into one dimensionalarray 2. Deletion of an element from one dimensionalarray 3. Implementation of insertionsort. 4. Implementation of selectionsort. 5. Implementation of BinarySearch. 6. Implementation of Linear Search in a linked list 7. Creation of a linked list and inserting nodes into it. 8. Deletion from a linked list. 9. Implementation of different operations on a stack. 10. Implementation of different operations on aqueue | |
Text Books And Reference Books: [1] Yashwant Kanetkar, Data Structures through C, BPB Publication, 2nd edition, reprint 2016. | |
Essential Reading / Recommended Reading [1] Horowitz Sahni Anderson-Freed, Fundamental of Data Structures in C, Universities Press, Reprint2009. [2] Seymour Lipschultz: Data Structures, Schaum series TMH,2010. | |
Evaluation Pattern CIA: 50% ESE: 50% | |
ENG221 - ENGLISH - II (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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· 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. |
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Course Outcome |
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CO1: Understand how to engage with texts from various countries, historical, cultural specificities and politics
CO2: Understand and develop the ability to reflect upon and comment on texts with various themes CO3: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class CO4: Develop the ability to communicate both orally and in writing for various purposes |
Unit-1 |
Teaching Hours:6 |
food
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Unit-1 |
Teaching Hours:6 |
language
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Presentation skills | |
Unit-2 |
Teaching Hours:6 |
Fashion
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1.Long text: In the Height of Fashion-Henry Lawson
2. short text: Crazy for Fashion- BabatundeAremu | |
Unit-2 |
Teaching Hours:6 |
Language
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Report writing | |
Unit-3 |
Teaching Hours:6 |
Language
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Group Discussion | |
Unit-3 |
Teaching Hours:6 |
Architecture
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1. long text: Bharat Bhavan By Charles Correa 2. Short text: The Plain Sense of Things By Wallace Stevens
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Unit-4 |
Teaching Hours:6 |
Management
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1.Long Text: The Amazing Dabbawalas of Mumbai- ShivaniPandita
2. Short Text: If By Rudyard Kupling | |
Unit-4 |
Teaching Hours:6 |
Language
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Interview skills and CV writing | |
Unit-5 |
Teaching Hours:6 |
language
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Developing arguments- debating | |
Unit-5 |
Teaching Hours:6 |
History
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1. Long tet: Whose Ambedkar is he anyway? By KanchaIlaiah
2. Short text: Dhauli By JayantaMahapatra | |
Unit-6 |
Teaching Hours:6 |
language
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Letter writing and email writing | |
Unit-6 |
Teaching Hours:6 |
War
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1. Long text: An Occurrence at Owl Creek Bridge By Ambrose Bierce 2. Short text: Strange meeting By Wilfred Owen | |
Unit-7 |
Teaching Hours:6 |
language
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Ethics of writing on social media platforms | |
Unit-7 |
Teaching Hours:6 |
Social Media
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1.Long text: Facebook and the Epiphanator: An End to Endings? By Paul Ford 2. Short text: 'Truth in the time of Social Media' by Girish Balachandran | |
Unit-8 |
Teaching Hours:3 |
visual text
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BBC Documentary- Dabbawalas | |
Text Books And Reference Books: ENGlogue 1 | |
Essential Reading / Recommended Reading teacher manual and worksheets that teachers would provide. Listening skills worksheets. | |
Evaluation Pattern CIA1- 20 MSE-50 CIA3- 20 ESE- 50 online and 50 written | |
FRN221 - FRENCH (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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French as a second language in the UG program. The method Génération A1 consists of a student's book and an activity book, both included in the digital manual. It consists of 6 units preceded by an initial section of 'Welcome'. The structure of each unit marks a real learning journey.
Course Objectives · To develop linguistic competencies and sharpen oral and written communicative skills · To familiarize learners to certain aspects of francophone civilization. · To enable learners to engage in simple everyday situations |
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Course Outcome |
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CO1: To familiarize students with French words and pronunciation. CO 2: To enable students in reading and writing skills CO 3: To enhance the listening and speaking skills. CO 4: To make them proficient in the language skills. CO 5: To enable the communication skills in french. |
Unit-1 |
Teaching Hours:10 |
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Culture: A country of vacation
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Unit-2 |
Teaching Hours:5 |
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Poem
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1. Demain dès l'aube (Tomorrow from dawn)- Victor Hugo | ||||||||||||||||||||||
Unit-3 |
Teaching Hours:10 |
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I discover
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Unit-4 |
Teaching Hours:5 |
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Poem
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Unit-5 |
Teaching Hours:10 |
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Culture: Gourmet Countries
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Unit-6 |
Teaching Hours:5 |
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Revision
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Revision of grammar and skills | ||||||||||||||||||||||
Text Books And Reference Books: 1. Cocton, Marie-Noelle. Génération A1. Paris : Didier, 2016 2. De Lafontaine, Jean. Les Fables de la Fontaine. Paris, 1668 | ||||||||||||||||||||||
Essential Reading / Recommended Reading 1. French websites like Bonjour de France, Fluent U French, Learn French Lab, Point du FLE etc. | ||||||||||||||||||||||
Evaluation Pattern
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HIN221 - HINDI (2022 Batch) | ||||||||||||||||||||||
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
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Max Marks:100 |
Credits:3 |
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Course Objectives/Course Description |
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Course Description:
The text book ”Samakaleen Kahaniyam is a contemporary socio-political issues based story collection edited by Dr.Vanaja Published by Rajpal and sons, New Delhi. In this semester four visual texts/film appreciation and famous four film directors of India from different languages have been incorporated along with conversation writing and practices to improve the spoken skills of the students.
Course Objectives:
Students are exposed to the world of Hindi fiction particularly short stories. Film appreciation helps them to improve their writing and analytical skills and know more about the thematic and technical aspects of Cinema. The module ‘Film Directors’ will inspire students to achieve professionally and personally. Conversation practice enable them to use the correct form of language by which spoken communication skill will be enhanced.
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Course Outcome |
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CO1 : Improve the analytical skills through critical analysis of the stories. CO2 : Understand the thematic and technical aspects of Hindi movies through the visual text. CO3: Improve the basic research skills while doing the research article creation for CIAs. CO4: Improve the spoken skills by conversation practices. |
Unit-1 |
Teaching Hours:15 |
Samakaleen Kahaniyam
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The text book “ Samakaleen Kahaniyam ” is a story collection edited by Dr. Vanaja from contemporary writers of Hindi Literature. | |
Unit-2 |
Teaching Hours:15 |
Film Studies
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Level of knowledge: Conceptual | |
Unit-3 |
Teaching Hours:15 |
Conversation Writing
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At least 10 exchanges each on the given context. Level of knowledge: Basic | |
Text Books And Reference Books:
1. Story Collection‘Samakaleen kahaniyam’ (Full Text) Edited By: Dr. Vanaja Published By: Rajpal and Sons Kashmiri Gate, New Delhi-6.
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Essential Reading / Recommended Reading 1. Sugam Hindi Vyakaran By: VamshidharDharmpalShastriShiksha Bharathi, New Delhi. 2. SaralSubodh Hindi Vyakaran, By:MotilalChaturvedi. Vinod pustak mandir , Agra-23. Cinema AurSamskritiMazoomRizaRahi 3.Bolchalki Hindi aursancharBy:Dr.MadhuDhavan.Vaniprakasan,New Delhi. | |
Evaluation Pattern CIA-1(Digital learning-Wikipedia) CIA-2(Midsemester examination) CIA-3(Digital learning-Wikipedia) End semester examination | |
KAN221 - KANNADA (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:03 |
Course Objectives/Course Description |
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Course Description: The prescribed play AMRAPALI by Dr. Prabhushankar, and the selection of short stories, Essays and Academic science writings are the texts for Second semester Kannada The Legend of Amrapali originated in the Buddhist Jataka Tales some 1500 years ago. Amrapali is a great character in the Indian history. She was known as a dancer and also a philosophical thoughts oriented woman. A key goal of this course will be to familiarize students with the basic techniques of analysing written drama and its stages performances. The selected prose will extend the concerns of Environment, Folk beliefs and social justice. Course Objectives: Students will be able to read drama scripts in Kannada and understand main ideas and details in different kinds of dramatic scripts. The Play improves listening comprehension of different types of spoken texts-for main ideas, details and speakers’ attitude and emotions. It helps in develop and use language learning strategies for all language skills. |
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Course Outcome |
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CO1 : to analyze and interpret texts and performances both in writing and orally CO 1: to demonstrate the knowledge of theatre CO2: to improve creative writing skills CO3 : to practice collaborative skills in various theatrical contexts CO5 : to analyze a variety of short stories/fiction |
Unit-1 |
Teaching Hours:20 |
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Text-1 AMRAPALI- DR. S. PRABHUSHANKARA
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Act-1 ( Scene-1 ) Pages 07-13 Act-1 ( Scene-2 ) Pages 13-19 Act-1 ( Scene-3 ) Pages 19-28 Act-1 ( Scene-4 ) Pages 20-42 Act-2 ( Scene-1 ) Pages 42-50 Act-2 ( Scene-2 ) Pages 50-58 Act-2 ( Scene-2 ) Pages 59-65 Act-2 ( Scene-2 ) Pages 66-70
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Unit-2 |
Teaching Hours:15 |
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Text-2 Selected short stories, essays and academic science writings.
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Unit-3 |
Teaching Hours:10 |
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Creative Writings
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Text Books And Reference Books: 1. Adhunika Kannada Nataka- K. Marulasiddappa 2. Kannada Sahitya Charithre- Rum Shri Mugali 3. What Buddha Taught- Walpola Sri Rahula 4. Buddha- Mounada Sakara Murthy- Sri Sri Ravishankar 5. Life of Buddha- Kashinath Potdar | |||
Essential Reading / Recommended Reading 1. The story of Buddha The Enlightened one- Tripati Nainwal 2. Desheeya Chinthana- Chandrashekara Kambara 3. Yugadharma hagu Sahitya Darshana- Keerthinatha Kurthukoti | |||
Evaluation Pattern
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MAT231 - DIFFERENTIAL EQUATIONS (2022 Batch) | |||
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
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Max Marks:100 |
Credits:4 |
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Course Objectives/Course Description |
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Course Description: This course aims at introducing the students to the theory of ordinary and partial differential equations through various methods of solutions. Course objectives: This course will help the learner to COBJ1. Solve first order ODE. COBJ2. Solve higher order ODE with constant coefficients. COBJ3. Solve second order linear differential equations with variable coefficients. COBJ4. Form PDE and solve linear and non linear PDE’s of first order. |
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Course Outcome |
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CO1: Understand the concepts of order, degree and linearity of ODE and recognize ODEs and PDEs. CO2: Apply multiple approaches/appropriate techniques to solve first order ODEs. CO3: Solve second order linear differential equations by finding Complementary function and particular integrals. CO4: Solve second order linear differential equations with variable coefficients by different methods such as if part of the integral is known, exactness and method of variation of parameter. CO5: Formulation of PDE by eliminating arbitrary constants and functions, solve linear PDEs using Lagrange?s auxiliary equation and solve nonlinear PDE?s of first order by Charpit?s method. |
Unit-1 |
Teaching Hours:20 |
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First Order ODE's
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Solution of ordinary differential equations of first order and first degree: Variable separable and reducible to variable separable forms, homogeneous and reducible to homogeneous forms, linear differential equations and reducible to linear differential equations, first order exact differential equations integrating factors, rules to find an integrating factor, Clairauts equation, orthogonal trajectory. | |||||||||||||||||||||||||||||
Unit-2 |
Teaching Hours:20 |
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Solution for Second and Higher Order Ordinary Differential Equations
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Linear homogeneous equations with constant coefficients, linear non-homogenous equations, the Cauchy-Euler equation, simultaneous differential equations with constant coefficients. Second order linear differential equations with variable coefficients by the following methods: (i) when a part of complementary functions is given, (ii) reducing to normal form, (iii) change of independent variable, and (iv) variation of parameters, and (v) by finding the first integral (exact equation), and the equations of the form dx/P = dy/Q = dz/R. | |||||||||||||||||||||||||||||
Unit-3 |
Teaching Hours:20 |
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Partial differential equations
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Order and degree of partial differential equations, formation of first order partial differential equations, linear partial differential equation of first order, Lagrange’s method, Charpit’s method. The classification of second order partial differential equations into elliptic, parabolic and hyperbolic through illustrations only. | |||||||||||||||||||||||||||||
Text Books And Reference Books:
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Essential Reading / Recommended Reading
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Evaluation Pattern
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MAT251 - INTRODUCTION TO PYTHON PROGRAMMING-II (2022 Batch) | |||||||||||||||||||||||||||||
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
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Max Marks:50 |
Credits:2 |
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Course Objectives/Course Description |
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Course Description: The course Introduction to Python Programming-II is aimed at enabling the students to appreciate and understand the concepts of mathematics and statistics with the help of Python programming language. It is designed with a learner-centric approach wherein the students will acquire mastery in the subject and as well as programming skills using Python programing language as a tool. Course objectives: This course will help the learner to COBJ1. Acquire programming skill in solving mathematical and statistical problems using Python. COBJ2. Gain proficiency in using Python to solve problems related to data analysis. |
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Course Outcome |
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CO1: Acquire proficiency in using Python as a programming language. CO2: Demonstrate the use of Python to understand and interpret the some concepts in Statistics. CO3: Visualize the data graphically using the module matplotlib. CO4: Apply Python to understand probability. |
Unit-1 |
Teaching Hours:30 |
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Proposed Topics
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Text Books And Reference Books:
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Essential Reading / Recommended Reading
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Evaluation Pattern The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below.
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SAN221 - SANSKRIT (2022 Batch) | |||||||||||||||||||||||||||||
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
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Max Marks:100 |
Credits:3 |
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Course Objectives/Course Description |
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1. Jatakamala of Aryashura is the text prescribed and approved in the B.O.S. The selected chapters will be taught in the classroom. And also the selected portion from the Grammar. This book not only teaches the morals to the students but also to learn Sanskrit easily Students can make the sentences with simple words. It also makes the student to think how the same topic is thought by different students in different situations their understanding is really intelligent. The students can learn different qualities by studying this course. |
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Course Outcome |
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CO1: To Specify the classification and characteristics of fables CO2: To understand the text in detail with application. CO3: To learn in depth the morals of the fables CO4: To learn human behaviour. CO5: To acquire a comprehension of compounding syllables. |
Unit-1 |
Teaching Hours:35 |
Jatakamala 1 vyaagree jaathakam and shibi jaathakam
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1. Jatakamala of Aryashura is the text prescribed and approved in the B.O.S. The selected chapters will be taught in the classroom. And also the selected portion from the Grammar. This book not only teaches the morals to the students but also to learn Sanskrit easily Students can make the sentences with simple words. It also makes the student to think how the same topic is thought by different students in different situations their understanding is really intelligent. The students can learn different qualities by studying this course. | |
Unit-2 |
Teaching Hours:5 |
Grammar
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Samasa prakaranam | |
Unit-3 |
Teaching Hours:5 |
Language skills
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Translate the given passage from English to Sanskrit Writing an artilcle in Sanskrit on the given topics | |
Text Books And Reference Books: 1. Jatakamala of Aryashura 2. 3. Sanskrit Grammar by M.R. Kale. | |
Essential Reading / Recommended Reading Samskruta sahithya parampare by Acharya Baladeva Upadyaya translated by Ramachandra shastri. | |
Evaluation Pattern CIA 1 Wikipedia assignments CIA 2 Mid semester examinations CIA 3 Wikipedia assignments | |
STA231 - PROBABILITY DISTRIBUTIONS (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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This course is designed to teach the basic concepts of random variables and its generation functions. It also gives a brief idea about standard probability distributions and how they are applied in real time situations. |
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Course Outcome |
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CO1: Demonstrate the random variables and its functions CO2: Compute the expectations for random variable functions and generating functions. CO3: Demonstrate various discrete and continuous distributions and their usage |
Unit-1 |
Teaching Hours:10 |
Random variables
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Definition - Discrete and continuous random variables - Probability Mass function and Probability density function - Distribution function and its properties - Two dimension random variables: Discrete and continuous type - Joint Density function - Marginal and conditional Probability Mass function and Probability Density function - independence of variables with illustration. | |
Unit-2 |
Teaching Hours:10 |
Mathematical Expectation and Generating functions
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Expectation of single and bivariate random variables and its properties - Conditional expectations - Moments and Cumulants - Moment Generating Function - Cumulant Generating Function and Characteristic Function - Uniqueness theorem (without proof) along with applications. | |
Unit-3 |
Teaching Hours:15 |
Discrete Probability distributions
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Discrete distributions: Uniform - Bernoulli - Binomial - Poisson - geometric - negative binomial - Hypergeometric distributions along with their properties - limiting/approximation cases and applications (without proofs). | |
Unit-4 |
Teaching Hours:15 |
Continuous Probability distributions
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Continuous distributions: Uniform - Normal - Exponential - Cauchy - Beta - Gamma distributions along with their properties - limiting/approximation cases and applications (Without proofs). | |
Unit-5 |
Teaching Hours:10 |
Limiting Theorems
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Chebyshev’s inequality - Week Law of Large numbers - Strong Law of Large numbers and their applications - Central Limit Theorem for i.i.d variates and its application - De-Moivre Laplace theorem. | |
Text Books And Reference Books: Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 12th edition, Sultan Chand & Sons, New Delhi, 2020. | |
Essential Reading / Recommended Reading 1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015. 2. Rohatgi V.K and Saleh E, An Introduction to Probability and Statistics, 3rd edition, John Wiley & Sons Inc., New Jersey, 2015. 3. Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, Wiley India, New Delhi, 2018. 4. Mood A.M, Graybill F.A and Boes D.C, Introduction to the Theory of Statistics, 3rd edition, McGraw Hill, New Delhi, 2017. | |
Evaluation Pattern Component Marks CIA I : 10 Mid Semester Examination (CIA II) : 25 CIA III : 10 Attendance : 05 End Semester Exam : 50 Total : 100 | |
STA251 - PROBABILITY DISTRIBUTIONS PRACTICAL (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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The course is designed to provide a practical exposure to the students in generating random variables and its generating function using EXCEL. Also to calculate probabilities using discrete and continuous distributions with EXCEL. |
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Course Outcome |
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CO1: Demonstrate to work with Pivot tables using EXCEL CO2: Compute probabilities using distributions for real world problems using EXCEL |
Unit-1 |
Teaching Hours:30 |
Practical Assignments using Excel:
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1. Creation and manipulation of pivot tables 2. Setting different pivot table options and applying pivot styles 3. Construction of probability distribution and distribution function using Excel (for discrete random variable) 4. Construction of random variables and generating its mean and variance using Excel functions 5. Verification of the properties of mathematical expectation using excel functions 6. Verification of the properties of variance using excel functions 7. Generating random numbers from Bernoulli distribution using the Data Analysis Tools Pack 8. Generation of probability mass function and distribution function of binomial distribution using Excel function 9. Generation of random numbers for binomial and Poisson distributions using Data Analysis Tool Pack and descriptive analysis 10. Generation of random numbers for Normal distribution using Excel function 11. Fitting binomial distribution (for given values of n and p) and Poisson distribution (for given value of λ) 12. Fit a normal distribution for the given parameters | |
Text Books And Reference Books: McFedries P, Excel Data Analysis Visual Blueprint, 4th Edition, Wiley India Pvt Ltd, New Delhi, 2013. | |
Essential Reading / Recommended Reading Paul M, Microsoft Excel 2019 formulas and functions, Pearson Eduction, 2019. | |
Evaluation Pattern Component Marks CIA of experiments : 80 Test 1 : 25 Test 2 : 35 Viva-voce Exam : 10 Total : 150 | |
STA271 - R PROGRAMMING (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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This course is used to provide an introduction to R, statistical language and environment that provides more flexible graph capabilities than other popular statistical packages. The course also covers the basics of R for statistical computation, exploratory analysis, and modeling. |
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Course Outcome |
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CO1: Demonstrate data handling using statistical tool R CO2: Perform graphical representation of data using R CO3: Demonstrate the usage of R for an introductory statistics |
Unit-1 |
Teaching Hours:12 |
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Introduction
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Introduction and preliminaries - The R environment - R and statistics - R commands - Data permanency and removing objects - Simple manipulations - Numbers and Vectors - Objects- modes and attributes - Ordered and unordered Factors - Arrays and Matrices. | |||||||||||||||
Unit-2 |
Teaching Hours:12 |
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Lists and Data Frames
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Constructing and modifying lists - Making Data frames - attach( ) and detach( ) - Working with data frame - Reading data from files using read.table( ) - scan( ) - Grouping - Conditional execution: if statements - Repetitive execution: for loops - repeat and while loops - Functions. | |||||||||||||||
Unit-3 |
Teaching Hours:12 |
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Data Exploration for Univariate and Bivariate Data
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Univariate Data - Handling categorical data and numerical data using R - Bivariate Data - Handling bivariate categorical data using R - Categorical vs. Numerical - Numerical vs. Numerical - Pearson correlation - Spearman rank correlation. | |||||||||||||||
Unit-4 |
Teaching Hours:12 |
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Data Exploration for Multivariate Data
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Multivariate Data - Storing multivariate data in R data frames - Accessing and manipulating data in R data frames - view multivariate data - apply( ) family functions - apply( ) - sapply( ) - lapply( ) - tapply( ) - dplyr package - select( ) - filter( ) - arrange( ) - rename( ) - mutate( ) - group_by( ) - %>%, summarize( ). | |||||||||||||||
Unit-5 |
Teaching Hours:12 |
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Data Visualization and Correlation
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lattice package in R - 1D, 2D, 3D plots using lattice - ggplot2 package in R- 1D, 2D, 3D plots using ggplot2. | |||||||||||||||
Text Books And Reference Books: 1. W. N. Venables, D. M. Smith, An Introduction to R, R Core Team, version 4.0.3, 2020. 2. John Verzani, Using R for Introductory Statistics, 2nd Edition, CRC Press, Taylor & Francis Group, 2018. | |||||||||||||||
Essential Reading / Recommended Reading 1. Seema Acharya, Data Analytics Using R, CRC Press, Taylor & Francis Group, 2018. 2. Michael Lavine, Introduction to Statistical Thought, Orange Grove Books, 2013. 3. J. D. Long and Paul Teetor, R Cookbook, 2nd Edition, O’Reilly Media Inc., 2019. | |||||||||||||||
Evaluation Pattern
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TAM221 - TAMIL (2022 Batch) | |||||||||||||||
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
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Max Marks:100 |
Credits:3 |
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Course Objectives/Course Description |
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This paper has a few collections from the ‘Individual Poems’ of Avvaiyar and Kalamegam to show the students the ingenuity with the poets of the period mixing intelligence with creativity. The |