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3 Semester - 2022 - 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 |
ELE331 | COMMUNICATION ELECTRONICS | Core Courses | 4 | 4 | 100 |
ELE351 | COMMUNICATION ELECTRONICS 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 | 50 |
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 |
TAM321 | TAMIL | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
4 Semester - 2022 - 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 |
ELE431 | MICROPROCESSOR AND MICROCONTROLLER | Core Courses | 4 | 4 | 100 |
ELE451 | MICROPROCESSOR AND MICROCONTROLLER 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 | 50 |
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 |
TAM421 | TAMIL | Ability Enhancement Compulsory Courses | 3 | 3 | 100 |
5 Semester - 2021 - 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 | 2 | 2 | 50 |
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 | 3 | 3 | 100 |
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 | 3 | 3 | 100 |
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 |
ELE531 | EMBEDDED SYSTEMS AND IOT FUNDAMENTALS | Core Courses | 3 | 3 | 100 |
ELE541A | OPTOELECTRONIC DEVICES AND COMMUNICATION | Discipline Specific Elective Courses | 3 | 3 | 100 |
ELE541B | ELECTRONIC INSTRUMENTATION | Discipline Specific Elective Courses | 3 | 3 | 100 |
ELE541C | DIGITAL SIGNALS AND SYSTEM ARCHITECTURE | Discipline Specific Elective Courses | 3 | 3 | 100 |
ELE551 | EMBEDDED SYSTEMS AND IOT FUNDAMENTALS LAB | Core Courses | 2 | 2 | 50 |
ELE551A | OPTOELECTRONIC DEVICES AND COMMUNICATION LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
ELE551B | ELECTRONIC INSTRUMENTATION LAB | Discipline Specific Elective Courses | 2 | 2 | 50 |
ELE551C | DIGITAL SIGNALS AND SYSTEM ARCHITECTURE 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 |
6 Semester - 2021 - 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 | Core Courses | 3 | 3 | 100 |
CSC641B | CLOUD COMPUTING | Core Courses | 3 | 3 | 100 |
CSC641C | COMPUTER ARCHITECTURE | Core Courses | 3 | 3 | 100 |
CSC641D | OOAD USING UML | Core Courses | 4 | 4 | 100 |
CSC641E | USER EXPERIENCE DESIGN(UX) | Core Courses | 3 | 3 | 100 |
CSC681 | MAIN PROJECT | Core Courses | 4 | 4 | 100 |
ELE631 | VERILOG AND FPGA BASED DESIGN | Core Courses | 3 | 3 | 100 |
ELE641A | NON-CONVENTIONAL ENERGY SOURCES AND POWER ELECTRONICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
ELE641B | NANOTECHNOLOGY AND NANOELECTRONICS | Discipline Specific Elective Courses | 3 | 3 | 100 |
ELE641C | DATA COMMUNICATION AND NETWORKING | Discipline Specific Elective Courses | 3 | 3 | 100 |
ELE651 | VERILOG AND FPGA BASED DESIGN LAB | Core Courses | 2 | 2 | 50 |
ELE681 | PROJECT LAB | Core Courses | 2 | 2 | 50 |
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 |
AEN321 - 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 |
|
Course Description
This course is taught in the second year for students from different streams, namely BA, BSc
and BCom. If the first year syllabus is an attempt by the Department of English, Christ
University to recognize and bring together the polyphonic Indian voices in English and Indian
regional literatures in translation for the Additional English students of the first year, the
second year syllabus intends to take that project a little further and open up the engagement
of the students to texts from across the world. The syllabus - selection of texts will
concentrate on readings from South Asian, Latin American, Australian, Canadian, and Afro-
American. It will voice subaltern concerns of identity, gender, race, ethnicity and problems of
belongingness experienced by humanity all over the globe.
The syllabus will extend the concerns of nation and nationality and marginalization,
discussed within the Indian context to a more inclusive and wider global platform. We have
consciously kept out ‘mainstream’ writers and concentrated on the voices of the subalterns
from across the world. There is an implicit recognition in this project that though the aspects
of marginalization and the problems facing subalterns are present across cultures and
nations, the experiences, expressions and reflections are specific to each race and culture.
The course will address these nuances and specificities and enable our students to become
more aware and sensitive to life and reality around them. This will equip the students, who
are global citizens, to understand not just the Indian scenario, but also situate themselves
within the wider global contexts and understand the spaces they will move into and negotiate
in their future.
There is a prescribed text book Blends: Voices from Margins for the second year students,
compiled by the Department of English, Christ University and intended for private circulation. Course Objectives
The course objectives are
to enable students to look at different cultures through Literature
to help students develop an understanding of subaltern realities and identity politics
to inculcate literary sensibility/taste among students across disciplines
to improve language skills –speaking, reading, writing and listening
to equip the students with tools for developing lateral thinking
to equip students with critical reading and thinking habits
to reiterate the study skills and communication skills they developed in the previous
year and extend it. |
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Course Outcome |
|
CO1: it will enable students to understand and analyse the nuances of cultures, ethnicities and other diversity around them and become sensitive towards them. CO2 : They will be able to critique literature from a cultural, ethical, social and political perspectives
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Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC331 - DATABASE MANAGEMENT SYSTEM AND SOFTWARE ENGINEERING (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
|
This course enables the students to apply the concepts of database management system and helps to understand the concept of software engineering principles. This course also focuses on the important steps in designing the software project. |
|
Course Outcome |
|
CO1: Understand the basic concepts of relational database models and software engineering. CO2: Demonstrate database operations using Relational Calculus and Algebra. CO3: Design normalized database applications. CO4: Analyze and find the practical solutions to the problem by applying the software process. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC351 - PYTHON 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 |
|
This course covers the programming paradigms associated with python. It explores the object-oriented programming, Graphical programming aspects of python with help of built-in modules. |
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Course Outcome |
|
CO1: Understand the use of built-in objects of Python. CO2: Demonstrate significant experience with python program development environment. CO3: Develop GUI programming concepts. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ELE331 - COMMUNICATION ELECTRONICS (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
|
The rapid growth of communication technologies and their pervasive applications in all walks of life today emphasize the importance of a course in electronic communication systems. This paper provides comprehensive coverage of the field of electronic communication and various technologies. It starts with basic concepts of noise, modulation and demodulation techniques through which radio communication techniques are introduced. The basic principles of data communication, satellite communication, and mobile communications are included. A brief study on the latest technologies like CDMA, LTE, 4G and 5G etc will help the students to up-date their knowledge of current technologies. Units III and IV caters to regional and national needs. |
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Course Outcome |
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CO1: Analyse the applications of Electronic communication in daily life CO2: Demonstrate the concepts of modulation and demodulation CO3: Illustrate the various block diagrams in electronic(satellite) communication CO4: Apply the knowledge of various communication techniques in designing circuits CO5: Demonstrate what is E-waste, health-hazardous elements and how to manage its disposal |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ELE351 - COMMUNICATION ELECTRONICS LAB (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
|
This practical course provides an overview of the experiments connected with electronic communication techniques. The lab sessions allow the students to construct, analyse and troubleshoot circuits using transistors, op-amp IC 741, IC 555. The experiments are from analogue, pulse and digital modulation techniques |
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Course Outcome |
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This paper enables the students to ● Acquire experimental skills, analyse the results and interpret data. ● Demonstrate and construct circuits for different aspects of analogue communication ● Design, model and develop various digital communication devices ● Illustrate how to acquire data and verify the working of different communication circuits and devices |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ENG321 - ENGLISH-III (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
|
Course Description English is offered as a course for all the students in BA, BSc, BCom, and BBA F&A classes in the third and fourth semesters. The aim is to strengthen the communication skills, and particularly study skills of the learners further, through adequate practice and exposure to good examples of writing, thought, ideas and human values. In addition, they will be trained in study skills through tasks in academic genres such as message, letter, essay, data interpretation etc. It aims to not only equip learners with skills but also sensitize them towards issues that concern human life in today’s globalised context. The course content is selected to meet the requirements of the departmental goal of “empowering the individual to read oneself, the social context and the imagined”; institutional goal of ensuring “holistic development”; and the national goal of creating competent and valuable citizens. The primary objective of this course is to help learners develop appropriate employability skills and demonstrate suitable conduct with regards to communication skills. The units are organised in order to help the learners understand the academic and workplace demands and learn by practice.
Course Objectives
· To enable learners to develop reading comprehension for various purposes
· To enable learners to develop writing skills for academic and professional needs
· To enable learners to develop the ability to think critically and express logically
· To enable learner to communicate in a socially and ethically acceptable manner
· To enable learners, to read, write and speak with clarity, precision and accuracy
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Course Outcome |
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CO1: Recognise the errors of usage and correct them. Recognize their own ability to improve their own competence in using the language CO2: Read independently unfamiliar texts with comprehension. Read longer texts, compare, and evaluate them. CO3: Understand the importance of writing in academic life. Write simple sentences without committing errors in spelling and grammar. Plan a piece of writing using drafting techniques. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
FRN321 - 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 second language for the Arts, Science and Commerce UG program |
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Course Outcome |
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CO1: Ability to communicate with native speakers and make presentations on small topics
CO 2: Proficiency in literary analysis, appreciation and review of poems,play ,films and fables CO3: Acquaintance of culture, civilization, social values and etiquettes, and gastronomical richness
CO 4: Ability to do formal and informal, oral and written communication. CO 5: Overall knowledge on functional and communicative aspects and get through a2 level exams.
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Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
HIN321 - HINDI (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
|
Course Description: The detailed text book “Shambook” is a Khanda Kavya written by Jagdeesh Gupta. To improve the creative writing skills, Nibandh, Kahani and Kavitha lekhan are included.Bharathiya chitrakala is also a part of the syllabus to improve the knowledge aboutIndian paintings. Course Objectives: Students are exposed to different forms of poetry especially, Khanda Kavya. It will help them to understand the contemporary socio-political issues.By learning about the tradition of Indian painting and legendary painters of India , students get to know about the richness and culture of the Indian paintings. Creative writing sharpens their thinking, analytical and writing skills |
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Course Outcome |
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CO1: By the end of the course the student should be able to:
● CO1: Improve their writing skill in literary Hindi by doing asynchronous session assignments and CIAs.
● CO2: Improve their analytical skills through critical analysis of the poetry.
● CO3: Will be able to learn the different aspects of Official correspondence.
● CO4: To improve their basic research skills while doing the CIAs.
By the end of the course the student should be able to:
● CO1: Improve their writing skill in literary Hindi by doing assignments and CIAs
CO2: Improve their analytical skills through critical analysis of the poetry. CO3: To improve their basic research skills while doing the CIAs CO4: To understand the contributions of painters to Indian painting. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
KAN321 - KANNADA (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:50 |
Credits:03 |
Course Objectives/Course Description |
|
Course Description: Language Kannada is offered to students of third Semester BA/B.Sc as Second language for fifty marks. Students of this semester will study an anthology of Modern Kannada Poetry and an Autobiography of Laxman Gaikwad. This course prepares the students to understand the new era. At the dawn of the twentieth century, B.M. Srikantiah, regarded as the “Father of modern Kannada Literature”, called for a new era of writing original works in modern Kannada while moving away from archaic Kannada forms. Students will study modern Kannada poetry from B.M.Sri to Dalit poet Dr. Siddalingiah. An anthology of modern poetry is selected to understand the beauty of modern Kannada poets through their writings. Uchalya is an autobiographical novel that carries the memories of Laxman Gaikwad right from his childhood till he became an adult. Laxman Gaikwad took birth in a criminal tribe of India belonging to Orissa/ Maharastra. The original text is translated to Kannada by Chandrakantha Pokale.
Course Objectives: Understand and appreciate poetry as a literary art form. Analyse the various elements of Poetry, such as diction, tone, form, genre, imagery, symbolism, theme, etc. Appreciates to learn the elements of autobiography. |
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Course Outcome |
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CO 1: Able to define autobiography CO2: Outline a personal autobiography CO3: Delineate different types of autobiography CO 4: Proficiency in communication skills CO5 : Understand the principles of translation |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MAT331 - REAL ANALYSIS (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
|
Course description : This course enables the students to understand the basic techniques and theories of real Analysis.
Course objectives : This course will help the learner to COBJ1. examine the convergence or divergence of sequences and series. COBJ2. understand the different types of convergence and their properties.
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Course Outcome |
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Course outcomes : On successful completion of the course, the students should be able to CO1. Quote and understand the definition of a limit of a sequence or a function in its various forms. CO2. Demonstrate the convergence or divergence of the geometric and harmonic series and other standard series. CO3. Apply the basic tests for convergence of infinite series. CO4. Prove the tests for convergence: Comparison Test, Ratio Test, Cauchy’s Root test, Raabe’s Test, alternating series test etc. CO5. Understand the differences between convergence and absolute convergence CO6. Understand and solve binomial , logarithmic and exponential series |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MAT351 - PYTHON PROGRAMMING FOR MATHEMATICS (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
|
Course description: The course Python programming for Mathematics is aimed at enabling the students to appreciate and understand some concepts in mathematics like Matrices, sequences, series, geometric shapes and fractals with the help of Python programming language. It is designed with a learner-centric approach wherein the students will acquire mastery in the subject by using Python programing language as tool. Course objectives: This course will help the learner to COBJ1. Acquire programming skill in solving mathematical problems using Python |
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Course Outcome |
|
CO1: demonstrate the use of Python to understand and interpret the concepts in sequences and series. CO2: apply Python to finding the area of the curve. CO3: acquire proficiency in using Python to find out the inverse determinant, transpose, Eigen values of a Matrix. CO4: visualize shapes and Fractals |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
SAN321 - SANSKRIT (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
|
Sundara Kanda is the only chapter of the Ramayana in which the hero is not Rama, but rather Hanuman. The work depicts the adventures of Hanuman and his selflessness, strength, and devotion to Rama are emphasized in the text. Bhoja only wrote 5 kāṇdas (up to the Sundarakāṇda), and there is a story about this: that he was inspired to write this work the night before a battle, that as he finished the Sundarakāṇda it was time to go, and that he announced that the Yuddhakāṇda would be enacted in the battlefield against the invader, but sadly he never returned. Others have composed a Yuddhakāṇda to complete the work. The main objective of the students is to understand the champu Kavyas based on the sam. The Origin and development of the Champu. |
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Course Outcome |
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CO1: To analyse the content of the text in detail with examples CO2: To Deliberate the classification and characters of the epic CO3: To understand the delight of the text. CO4: To demonstrate an increased ability to read and understand Sanskrit texts CO5: To understand the prefixes and suffixes and changing the sentences in grammar. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
TAM321 - TAMIL (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
|
Araillakiyam, bakthi illakiyam, ikala illakiyamn the major allakiyams.The influence myths and puranas are delineated through the good deeds for a better lifestyle.The Cultural Studies part will have an overview of Indian painting both traditional and modern with special reference to mythology and literature India 2020- Abdul Kalam
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Course Outcome |
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CO1: Recall and categorize the concepts of literature. CO2: Understand the true essence of the texts, and inculcate them in their daily lives. CO3: Recognize and apply the moral values and ethics in their learning. CO4: Comprehend the concepts in literature and appreciate the literary text. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
AEN421 - 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 |
|
This course is taught in the second year for students from different streams, namely BA, BSc and B Com. If the first year syllabus is an attempt by the Department of English, Christ University to recognize and bring together the polyphonic Indian voices in English and Indian regional literatures in translation for the Additional English students of the first year, the second year syllabus intends to take that project a little further and open up the engagement of the students to texts from across the world. The syllabus - selection of texts will concentrate on readings from South Asian, Latin American, Australian, Canadian, and Afro-American. It will voice subaltern concerns of identity, gender, race, ethnicity and problems of belongingness experienced by humanity all over the globe. The syllabus will extend the concerns of nation and nationality and marginalization, discussed within the Indian context to a more inclusive and wider global platform. We have consciously kept out ‘mainstream’ writers and concentrated on the voices of the subalterns from across the world. There is an implicit recognition in this project that though the aspects of marginalization and the problems facing subalterns are present across cultures and nations, the experiences, expressions and reflections are specific to each race and culture. The course will address these nuances and specificities and enable our students to become more aware and sensitive to life and reality around them. This will equip the students, who are global citizens, to understand not just the Indian scenario, but also situate themselves within the wider global contexts and understand the spaces they will move into and negotiate in their future.
There is a prescribed text book Blends: Voices from Margins for the second year students, compiled by the Department of English, Christ University and intended for private circulation. The course objectives are · to introduce the students to look at different cultures through Literature · to help students develop an understanding of subaltern realities and identity politics · to inculcate literary sensibility/taste among students across disciplines · to improve language skills –speaking, reading, writing and listening · to equip the students with tools for developing lateral thinking · to equip students with critical reading and thinking habits · to enable them to grasp and appreciate the variety and abundance of subaltern writing, of which this compilation is just a glimpse · to actively engage with the world as a cultural and social space (to be facilitated through proactive CIAs which help students to interact and engage with the realities they face everyday and have come across in these texts) · to learn and appreciate India and its place in the world through association of ideas in the texts and the external contexts
· to reiterate the study skills and communication skills they developed in the previous year and extend it. |
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Course Outcome |
|
CO1 : CO1: To understand the socio- political concerns in various literatures through short stories, poems and essays
CO2: CO2: To critically read and articulate the non- canonised literatures
CO3: CO3: To analyse and apply these textual themes in a multi- cultural, global and professional space
|
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC431 - COMPUTER NETWORKS AND JAVA PROGRAMMING (2022 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
|
This course helps to understand the concepts of computer networks, network models and object oriented programming to develop real world applications. This course gives knowledge of various network components, protocols, architectures and its applications in data communication system. |
|
Course Outcome |
|
CO1: Understand the basic concepts of computer networks and object-oriented programming. CO2: Create small to medium-sized application programs that demonstrate professionally acceptable coding. CO3: Analyze and design the practical solutions to the problem by applying Object-oriented concepts and network technologies |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
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CSC451 - JAVA 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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To enable the students to gain hands on experience in object-oriented programming using Java |
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Course Outcome |
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CO1: Understand the basic concepts of Java Programming with emphasis on ethics and principles of professional coding. CO2: Implement the concepts of code reusability and debugging CO3: Develop applications using java |
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ELE431 - MICROPROCESSOR AND MICROCONTROLLER (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 emphasises the advancement in the field of microcontrollers and microprocessors. The course content focuses on skill development in interface design and programming and it also caters to the need of regional employability requirements. An introduction to microcomputer organization and the basic architecture of the 8085 microprocessor is included in Unit I. The software part consists of learning about the instruction set and programming in assembly language. The internal structure and the detailed architecture of the 8051 microcontroller are included in Unit III. The emphasis is given to interfacing the 8051 microcontroller to real-world devices such as switches, LED display, motors and A/D converters through assembly language. Additional programs and interfacing projects based on 8051 microcontrollers will be given to students to strengthen their programming and technical skills. This course enables the students to
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Course Outcome |
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After completing the course, the students will be able to |
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ELE451 - MICROPROCESSOR AND MICROCONTROLLER 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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This practical course focuses on the skill development of students by introducing them to various arithmetic, and logical problems that can be solved using assembly language programs. This course also enables them to design interfacing circuits for the 8051 microcontroller. describes the technical features and specifications of 8085 microprocessor and 8051 microcontrollers. Students will be debugging, practising and executing the programs that they are doing in the theory class. This course enables the students to
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Course Outcome |
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CO1: Identify the functions of instructions used in the programming of 8085 and 8051 devices CO2: Solve arithmetic and logical problems by writing assembly language programs CO3: Design and verify the working of interfacing circuits CO4: Learn to use the software simulators to execute the assembly language programs |
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ENG421 - ENGLISH-IV (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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This syllabus is meant to cater to all the three streams- B.A., B.Sc.and B.Com therefore the selection of units, has been done keeping in mind the general needs of students from these different backgrounds. Topics of universal concern, appeal and relevance have been included to sustain the interests of all students.
The selection of topics also progresses in complexity with each semester, enabling the students to gradually progress into more serious and sustained patterns of reading and become increasingly perceptive and conscious of their own selves and the world they see around them.In a nutshell we aim to bring out a text that will empower the holistic development of every student.
In addition, the selection of topicsis also heavily based on skill sets identified to be taught. Topics are carefully chosen to integrate appropriate language and communication skills among students. The specific focus of these two semesters is to build employability skills among them and to this effect, we have career advancement skills and employability skills based units. The learners will be exposed to various skill sets required to be able to handle various requirements both in their academic and workplaces.
Course Objectives:
· To enable learners to develop reading comprehension for various purposes
· To enable learners to develop writing skills for academic and professional needs
· To enable learners to develop the ability to think critically and express logically
· To enable learner to communicate in a socially and ethically acceptable manner
· To enable learners, to read, write and speak with clarity, precision and accuracy
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Course Outcome |
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CO1: Ability to judge audience requirements in oral and written communication and communicate accordingly. CO2: Ability to use specific styles in communication and understand workplace structures and requirements to communicate CO3: Lead and participate in seminars and group discussions more effectively and with increased confidence. |
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FRN421 - 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 A2 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'. Continuing from where A1 left, it aims to enhance learning skills further. The structure of each unit marks a real learning journey into different aspects of the French language and culture.
Course Objectives · To develop linguistic competencies and sharpen oral and written communicative skills further · To enhance awareness of different aspects of francophone civilization. · To enrich the learner’s vocabulary · To enable learners to engage in and discuss simple topics with ease
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Course Outcome |
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CO1: To familiarize students with the French culture and traditions. CO 2: To equip students with correct grammar, vocabulary and pronunciation. CO3: To enhance communicative skills. CO 4: To make them well versed in all the four language skills. CO5: To make them ready for A2 level Exams. |
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HIN421 - HINDI (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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Course Description: The detailed text-book "Ashad ka ek din” is a drama by Mohan Rakeshi, one of the eminent writers of modern Hindi Literature. Hindi journalismis is one of the major unit of this semester. Phrases, idioms, technical and scientific terminology are included in this semester to improve the literary skills. Course Objectives: Through the prescribed play and the theatre performance, students can go through the process of experiential learning. Study of Mass media enables them to get practical training. Phrases, idioms, technical and scientific terminology sharpen the language skills of the students.
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Course Outcome |
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CO1 : Understand the nuances of Hindi theatre. CO2: Create awareness of the social issues. CO3: Improve the skill of critical analysis. CO4: Develop the writing skills for media. |
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KAN421 - KANNADA (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:50 |
Credits:03 |
Course Objectives/Course Description |
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The course introduces the rich Kannada language and helps students to read and write the Regional language effectively. The prescribed text ‘Kalagnani Kanaka’ (Kanaka, the visionary) is all about 15th century poet, saint and philosopher of the Haridasa Bhakti tradition. “Kanaka’s writings touch on all aspects of truth and social reality’ said K.R. Nagaraj, literary critic and the author of the Kalagnani Kanaka play. “Kanaka’s poetry is dense with rhyme, rhythm, meter and rich descriptions. He upholds social justice while addressing the issues of the time-caste and class differentiation and gender oppression, for example. Contrary to popular belief, he never confined himself to any one philosophical tradition- Advaita, Dwaita or Vishistadwaitha” ‘Kannadada Moovattu Kathegalu’ is another prescribed text. Through this text the students are exposed to the writings of Koradkal Sreenivasa Rao, K. P. Poornachandra Tejaswi, Masti Venkatesha Iyengar, G. P. Basavaraj and others. Short stories help students in harnessing creative writing skills. |
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Course Outcome |
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CO1: Reflects the tradition of old & the new CO2: Helps to create dialogue writing CO3: Identify key points in stories CO4: Understand the ideologies during British rule CO5: Expose to Dasa Sahitya movement |
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MAT431 - ALGEBRA (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 developing the ability to write the mathematical proofs. It helps the students to understand and appreciate the beauty of the abstract nature of mathematics and also to develop a solid foundation of theoretical mathematics. Course objectives : This course will help the learner to COBJ1. Understand the fundamentals of groups and its theories. COBJ2. Relate abstract algebraic constructs to more familiar sets and operators COBJ3. Know about the subgroups and group homomorphisms COBJ4. Get familiar with the theories on rings, integral domains and fields. |
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Course Outcome |
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CO1: Describe and generate groups, rings and fields. CO2: Identify and differentiate different structures and understand how changing properties give rise to new structures. CO3: Demonstrate the knowledge of concepts of rings and fields. |
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MAT451 - PYTHON PROGRAMMING FOR MATHEMATICAL MODELLING (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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Course description: The course Python programming for mathematical modelling is aimed at enabling the students study the implementation of Python programming for solving some real world problems. It is designed with a learner-centric approach wherein the students will acquire mastery in the modelling and simulation by using Python programming language as a tool. Course objectives: This course will help the learner to COBJ1. Acquire proficiency in using Python to present data grapically COBJ2. Solving differential equations analytically and numerically using Python. COBJ3. Acquire skills to solve various Mathematical models- exponential growth, Logistic growth, simple pendulum and spreading of disease. |
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Course Outcome |
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CO1: Solve differential equations governed by mathematical models using Python. CO2: Demonstrate the use of Python to interpret and analyze the data. |
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SAN421 - SANSKRIT (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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Avimarakam by Bhasa is the drama prescribed as a text and approved in the B.O.S. It is sociological drama which explains about the society. . This drama is an imaginary composition of Bhasa . The concept and drama skills expresses the beauty of the style of the author Bhasa. He creates the characters and the incidents are naturally created. Grammar will also be studied. |
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Course Outcome |
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CO1: To Understand the style and development of the play CO2: To learn the linguistic skills of the drama. CO3: To Deliberate the classification and characteristics of the play CO4: To Understand the features of play CO5: To understand the basic structural nuances of Panini?s grammar |
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TAM421 - 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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A new concept, cultural studies, will take the students beyond prescribed syllabus to include music, theatre, painting, and films out of which the art form of music is taken up for the first semester. Aram poetry- Ara nericharam specifies life discipline and standards, which would pave a successful life for the students. Bhakthi ilakiya- them bhavani, cheerapuranam, thirumandiram is inclined towards ritual practices. Kaapiyam with its historical values provides an understanding about life in a mature way. |
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Course Outcome |
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CO1: Recall and categorize the concepts of literature.
CO2: Understand the true essence of the texts, and inculcate them in their daily lives. CO3: Recognize and apply the moral values and ethics in their learning. CO4: Comprehend the concepts in literature and appreciate the literary text. |
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CSC541A - DATA ANALYTICS (2021 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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This course is to help students learn, understand, and practice data analytics from the chosen domain. The better understanding of Data, Relations, Preprocessing, Visualization, Correlation, Regression and Clustering plays an important role to find a formidable answer for any kind of applications. |
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Course Outcome |
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Upon successful completion of the course the student will be able to: CO1: Demonstrate the fundamental principles of data analytics CO2: Apply appropriate preprocessing and visualization techniques on the data set CO3: Design data analytic models for effective decision-making |
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CSC541B - INTERNET OF THINGS (2021 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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To explore students to the world of interconnected devices, communication among these connected devices, transfer of data and further analysis of this data to make appropriate decisions |
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Course Outcome |
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CO1: Analyze the functional blocks involved in Internet of Things. CO2: Understand the architecture of Internet of Things. CO3: Infer the process of analysing data in Internet of Things. CO4: Demonstrate the application of IoT in real world. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC541C - DIGITAL IMAGE PROCESSING (2021 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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This course helps student to understand image enhancement techniques in spatial domain.This also focuses on classification of images using Matlab |
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Course Outcome |
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CO1: Understand the enhancement techniques of images. CO2: Analyse different filtering methods in Spatial domain.
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Essential Reading / Recommended Reading | |
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CSC541D - BUSINESS INTELLIGENCE (2021 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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Effective implementation of a Business Intelligence (BI) results in better business decisions and increased success in achieving goals. Business intelligence is the process of collecting and turning the resource into business value. This course will provide an understanding of business intelligence, knowledge delivery and examine the BI processes and techniques used in transforming data to knowledge and value. |
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Course Outcome |
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CO1: Understand the fundamentals of business intelligence. CO2: Apply various modeling techniques and business intelligence methods to various situations using data mining principles. CO3: Demonstrate the impact of business reporting, information visualization, and dashboards. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC542A - UNIX OPERATING SYSTEM (2021 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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UNIX is a multi user and multi-tasking operating system. After learning the concepts of an operating system, it is appropriate to learn how UNIX implements these concepts. The subject is introduced with the features and architecture of UNIX. The file system, Process management and Memory management are discussed to make the students understand the internals of UNIX. Various commands used by UNIX shell is also discussed which makes the users of UNIX comfortable to interact with each other. Bourne shell programming is dealt in depth which can be used to develop applications in UNIX. |
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Course Outcome |
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CO1: Describe the architecture and features of UNIX Operating System and distinguish it from other Operating System. CO2: Apply and change the ownership and file permissions using advance Unix commands. CO3: Build Regular expression to perform pattern matching using utilities like grep, sed and awk. CO4: Implement shell scripts for real time applications. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC542B - WEB TECHNOLOGY (2021 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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This course is designed to introduce the students to web technologies in Hyper Text Mark-up Language, Cascade Style Sheet, JavaScript and PHP for interactive web applications that use rich user interfaces and also understand the server-side web technologies for creating dynamic web applications. Student will learn the concepts of web site planning and hosting. This course will help them to create an interactive website with great look and functionality. |
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Course Outcome |
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CO1: Understand the World Wide Web and associated technologies. CO2: Apply web development techniques for designing web pages. CO3: Design an interactive website with web tools and scripting methods. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC542C - MOBILE APPLICATIONS (2021 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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This course focuses on developing applications for modern Smartphone operating systems. Most of the course is dedicated to Google's Android. Rapid application development techniques are covered, as well as setup of the development environment, real-world testing, and deployment. |
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Course Outcome |
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Upon completion of this course, Students will be able to: CO1: Install and configure Android application development tools. CO2: Design and develop user Interfaces for the Android Application CO3: Develop and Deploy Android Applications using Multimedia Concepts |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC542D - GRAPHICS AND ANIMATION (2021 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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To acquire knowledge in three-dimensional modelling and animation using 3DS Max software and to render the animated scene effectively using light and material design. |
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Course Outcome |
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Upon completion of the course students will be able to: CO1: Understand the concept of 2D and 3D. CO2: Construct graphic models in 2D and 3D with lighting effects. CO3: Apply animation on 3D models. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC542E - .NET TECHNOLOGY (2021 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 course gives introduction to the .Net framework. It also enable the studentst to learn and develop console, windows and web based application in the .NET framework using C# programming. |
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Course Outcome |
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CO1: Understand the buliding blocks of .Net framework. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC551A - DATA ANALYTICS LAB (2021 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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This course is to help students to do hands-on lab experience by practicing data analytics to get the insights from the chosen area/domain based on the given topics. |
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Course Outcome |
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CO1: Demonstrate the Correlation and Regression methods. CO2: Design different forecasting models. CO3: Analyse data classification and clustering based on different methods. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC551B - INTERNET OF THINGS LAB (2021 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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To explore students to the world of interconnected devices, communication among these connected devices, transfer of data and further analysis of this data to make appropriate decisions |
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Course Outcome |
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CO1: Analyze the functional blocks involved in Internet of Things. CO2: Understand the architecture of Internet of Things. CO3: Infer the process of analysing data in Internet of Things. CO4: Demonstrate the application of IoT in real world. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC551C - DIGITAL IMAGE PROCESSING LAB (2021 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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This course helps student to understand image enhancement techniques in spatial domain.This also focuses on classification of images using Matlab |
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Course Outcome |
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CO1: Understand the enhancement techniques of images. CO2: Analyse different filtering methods in Spatial domain.
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Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC551D - BUSINESS INTELLIGENCE LAB (2021 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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This course is designed to introduce a concept of Business Intelligence for better business decision. Also gives practical knowledge on implementation of Business Intelligence concepts. |
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Course Outcome |
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CO1: Explore various modeling techniques and business intelligence methods to various situations using data mining tools. CO2: Demonstrate the impact of business reporting, information visualization, and dashboards using BI tools. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC552A - UNIX OPERATING SYSTEM LAB (2021 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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UNIX is a multi user and multi-tasking operating system. After learning the concepts of an operating system, it is appropriate to learn how UNIX implements these concepts. The subject is introduced with the features and architecture of UNIX. The file system, Process management and Memory management are discussed to make the students understand the internals of UNIX. Various commands used by UNIX shell is also discussed which makes the users of UNIX comfortable to interact with each other. Bourne shell programming is dealt in depth which can be used to develop applications in UNIX. |
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Course Outcome |
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CO1: Describe the architecture and features of UNIX Operating System and distinguish it from other Operating System CO2: Apply and change the ownership and file permissions using advance Unix commands. CO3: Build Regular expression to perform pattern matching using utilities like grep, sed and awk. CO4: Implement shell scripts for real time applications.
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Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC552B - WEB TECHNOLOGY LAB (2021 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 Web Technology Lab provides a great opening for those who want to pursue a career in the web development. Student will learn the core concepts of web site design including the wire framing, planning and hosting. This course will help them to create a interactive website with great look and functionality.
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Course Outcome |
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CO1: Design an interactive website with web tools. CO2: Design webpages with server-side scripting using PHP. CO3: Apply web development techniques like CSS and JavaScript for website design. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC552C - MOBILE APPLICATIONS LAB (2021 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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This course focuses on developing applications for modern Smartphone operating systems. Most of the course is dedicated to Google's Android. Rapid application development techniques are covered, as well as setup of the development environment, real-world testing, and deployment. |
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Course Outcome |
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Provides solid foundation and skills for Android Programming and other technology applications for Mobile Devices CO1: Get hands-on experience on most popular application tools CO2: Create your Mob Apps Portfolio using Android |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC552D - GRAPHICS AND ANIMATION LAB (2021 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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To acquire knowledge in three dimensional modelling and animation using 3DS Max software and to render the animated scene effectively using light and material design. |
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Course Outcome |
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CO1: Design real-time 3D objects using 3DS Max CO2: Apply effects to objects using light and material. CO3: Create animated frames on built models. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CSC552E - .NET TECHNOLOGY LAB (2021 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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Apply the knowledge acquired on object oriented programming concepts to develop console, window and web based applications. |
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Course Outcome |
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CO1: Design and develop an application using fundamentals of object-oriented programming concepts. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ELE531 - EMBEDDED SYSTEMS AND IOT FUNDAMENTALS (2021 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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This course on embedded systems provides the necessary theoretical background to understand and develop practical applications using the Arduino environment. It covers the basics of general embedded systems, standard peripherals and communication, operating systems and Arduino development environment and its applications. This course prepares students to acquire skills for their employability and also entrepreneurship in the future. Unit III caters to national and global needs. |
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Course Outcome |
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CO1: Describe embedded systems, their classification and explain the concept of standard peripheral communication CO2: Differentiate between GPOS and RTOS concerning their functionalities CO3: Discuss features of Arduino IDE and development board CO4: Develop interfaces using I/O devices and write Arduino programs |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ELE541A - OPTOELECTRONIC DEVICES AND COMMUNICATION (2021 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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Optical fiber communication systems have revolutionized our global telecommunications network. With their very high data rates and capacity, optical fiber systems link continents, countries, cities and end-users. They have enabled the internet and changed our society. This paper provides comprehensive coverage of the field of electronic communication and various technologies using fibre optics. The principles of operation and properties of optoelectronic components, as well as the signal guiding characteristics of glass fibres, are discussed. Units I to III caters to local and regional needs. |
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Course Outcome |
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CO1: Develop an understanding of basic phenomena in the area of Optoelectronics devices and their working. CO2: The knowledge acquired in the course helps apply their skills in designing communication link systems for national and global communication needs. CO3: Demonstrate different network topologies CO4: Illustrate various optical networks |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ELE541B - ELECTRONIC INSTRUMENTATION (2021 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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This Paper will enable the students to get a thorough knowledge of measuring instruments and their measuring techniques. Any instrument consists of an input sensing element or transducer, signal conditioner and display unit. So the basic principles and applications of the transducers, signal conditioners, data acquisition systems and digital instruments are covered. The students are introduced to biomedical instrumentation as it is an emerging area of instrumentation and pc based on instrumentation. Units II and III caters to regional and national needs. |
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Course Outcome |
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CO1: Analyse the performance characteristics and applications of electronic transducers and instruments CO2: Demonstrate the signal conditioning concepts and analyse the circuits CO3: Design and develop the data acquisition and conversion systems using various Electronic instruments and biomedical instruments CO4: Design and develop PC based instrumentation systems |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
ELE541C - DIGITAL SIGNALS AND SYSTEM ARCHITECTURE (2021 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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This paper is designed to understand the fundamentals of signals, systems and digital signal processing. Digital and analogue signals are introduced, followed by their processing through various mathematical techniques. Basic concepts for continuous-time and discrete-time signals in the time and frequency domains are also covered. Electronic systems are introduced with the relation between the output and the input. The mathematical modelling of different types of systems is also detailed. |
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Course Outcome |
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CO1: Illustrate different types of signals and their processing CO2: Demonstrate the fundamentals and applications of signal processing. CO3: Analyze how various kinds of signals and systems are processed practically CO4: Illustrate the architecture of digital signal processors CO5: Develop skills for international needs and cultivate entrepreneurship. |
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ELE551 - EMBEDDED SYSTEMS AND IOT FUNDAMENTALS LAB (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
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This practical course covers the study of the Arduino development platform, writing the programs and implementing practical applications using Arduino Uno. The course has a provision for conducting all the experiments virtually using an online tool in tinkercad.com
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Course Outcome |
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CO1: Acquire skills in using Arduino Environment and writing programs CO2: Interface various I/O devices and implement applications using the Arduino Uno development board CO3: Verify the design and programs using the Tinkercad web tool
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ELE551A - OPTOELECTRONIC DEVICES AND COMMUNICATION LAB (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
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This course describes the technical features and specifications of the optical fiber communication training kit. Students will be able to perform different types of experiments to understand basic fiber optical communications. The kit demonstrates the properties of fiber optic transmitters and receivers, characteristics of fiber optic cables, different types of modulation and demodulation techniques, and PC to PC communication via fiber optic link using the RS232 interface. It can also be used to demonstrate various digital communication techniques via fiber-optic links. |
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Course Outcome |
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CO1: Acquire and apply knowledge in Optoelectronics using real components and devices. CO2: Acquire skills to meet the growing demand of the optoelectronic industry. CO3: Design and analyze various digital and analog optical fiber systems. CO4: Design, model, and simulate different optical systems using industry-relevant software. |
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ELE551B - ELECTRONIC INSTRUMENTATION LAB (2021 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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This course provides laboratory hours that allow students the opportunity to enhance their understanding of how to construct, analyse and troubleshoot basic signal conditioning and instrumentation amplifier circuits using basic ICs and discrete components. These topics will enhance their basic skills which in turn can be useful for global industrial requirements.
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Course Outcome |
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CO1: Impart the concepts of signal conditioning using op-amps and instrumentation amplifiers practically CO2: Demonstrate the basic experimental techniques in the operation of instrumentation amplifier based circuits and their applications CO3: Design and develop different data acquisition techniques using sensors CO4: Design, simulate and analyse electronic instrumentation elements using software like EWB, Multisim, etc. |
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ELE551C - DIGITAL SIGNALS AND SYSTEM ARCHITECTURE LAB (2021 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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This practical course covers the fundamentals of signals and systems. Basic simulation of signals and systems and signal processing through various mathematical techniques using GNU Octave /MATLAB/Python will be carried out.
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Course Outcome |
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CO1: Demonstrate the basic programming in MATLAB/Python/Octave CO2: Simulate and analyze different types of signals and model how they can be processed CO5: Develop skills toward national and international job requirements in the field of signals and systems |
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MAT531 - LINEAR ALGEBRA (2021 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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This course aims at developing the ability to write the mathematical proofs. It helps the students to understand and appreciate the beauty of the abstract nature of mathematics and also to develop a solid foundation of theoretical mathematics. Course Objectives : This course will help the learner to COBJ1. understand the theory of matrices, concepts in vector spaces and Linear Transformations. COBJ2. gain problems solving skills in solving systems of equations using matrices, finding eigenvalues and eigenvectors, vector spaces and linear transformations. |
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CO1: use properties of matrices to solve systems of equations and explore eigenvectors and eigenvalues. CO2: understand the concepts of vector space, basis, dimension, and their properties. CO3: analyse the linear transformations in terms of matrices. |
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MAT541A - INTEGRAL TRANSFORMS (2021 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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This course aims at providing a solid foundation upon the fundamental theories on Fourier and Laplace transforms. |
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Course Outcome |
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CO1: Evaluate integrals by using Fourier series and Fourier integrals. CO2: Apply Fourier sine and cosine transforms for various functions. CO3: Derive Laplace transforms of different types of functions. CO4: Utilize the properties of Laplace transforms in solving ordinary differential equations. |
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MAT541B - MATHEMATICAL MODELLING (2021 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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This course is concerned with the fundamentals of mathematical modeling. It deals with finding solution to real world problems by transforming into mathematical models using differential equations. The coverage includes mathematical modeling through first order, second order and system of ordinary differential equations.
This course will help the learner to COBJ1. interpret the real-world problems in the form of first and second order differential equations. COBJ2. familiarize with some classical linear and nonlinear models. COBJ3. analyse the solutions of systems of differential equations by phase portrait method. |
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Course Outcome |
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CO1: Apply differential equations in other branches of sciences, commerce, medicine and others CO2: Understand the formulation of some classical mathematical models. CO3: Demonstrate competence with a wide variety of mathematical tools and techniques. CO4: Build mathematical models of real-world problems. |
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MAT541C - GRAPH THEORY (2021 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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Course Description:This course is an introductory course to the basic concepts of Graph Theory. This includes definition of graphs, types of graphs, paths and circuits, trees, shortest paths and algorithms to find shortest paths. Course objectives: This course will help the learner to COBJ 1: Gain conceptual knowledge on terminologies used in graph theory.
COBJ 2: Understand the results on graphs and their properties. COBJ 3: Gain proof writing and algorithm writing skills. |
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Course Outcome |
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CO1: understand the terminology related to graphs CO2: analyze the characteristics of graphs by using standard results on graphs CO3: apply proof techniques and write algorithms |
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MAT541D - CALCULUS OF SEVERAL VARIABLES (2021 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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Course Description: This course aims to enlighten students with the fundamental concepts of vectors, geometry of space, partial differentiation and vector analysis such as gradient, divergence, curl, and the evaluation of line, surface and volume integrals. The three classical theorems, viz., Green’s theorem, Gauss divergence theorem and the Stoke’s theorem are also covered. Course objectives: This course will help the learner to COBJ1. Gain familiarity with the fundamental concepts of vectors geometry of space. COBJ2. Understand differential and integral calculus of vector fields. COBJ3. Demonstrate an understanding of and be able to use Green’s Theorem for the plane, Stokes Theorem, and Gauss’ divergence Theorem to simplify and solve appropriate integrals. |
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Course Outcome |
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CO1: Solve problems involving vector operations. CO2: Understand the TNB frame work and derive Serret-Frenet formula. CO3: Compute double integrals and be familiar with change of order of integration.
CO4: Understand the concept of line integrals for vector valued functions. CO5: Apply Green's Theorem, Divergence Theorem and Stoke's Theorem. |
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MAT541E - OPERATIONS RESEARCH (2021 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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Course description: Operations research deals with the problems on optimization or decision making that are affected by certain constraints / restrictions in the environment. This course aims at teaching solution techniques of solving linear programming models, simple queuing model, two-person zero sum games and Network models. Course objectives: This course will help the learner to COBJ1. gain an insight executing the algorithms for solving linear programming problems including transportation and assignment problems. COBJ2. learn about the techniques involved in solving the two person zero sum game. COBJ3. calculate the estimates that characteristics the queues and perform desired analysis on a network. |
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Course Outcome |
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CO1: On successful completion of the course, the students should be able to solve Linear Programming Problems using Simplex Algorithm, Transportation and Assignment Problems.
CO2: On successful completion of the course, the students should be able to find the estimates that characterizes different types of Queuing Models.
CO3: On successful completion of the course, the students should be able to obtain the solution for two person zero sum games using Linear Programming. CO4: On successful completion of the course, the students should be able to formulate Maximal Flow Model using Linear Programming and perform computations using PERT and CPM. |
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MAT551 - LINEAR ALGEBRA USING PYTHON (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
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Course description: This course aims at providing hands on experience in using Python functions to illustrate the notions vector space, linear independence, linear dependence, linear transformation and rank. Course objectives: This course will help the learner to COBJ1. The built in functions required to deal with vectors and Linear Transformations. COBJ2. Python skills to handle vectors using the properties of vector spaces and linear transformations |
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Course Outcome |
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CO1: Use Python functions in applying the notions of matrices and system of equations.
CO2: Use Python functions in applying the problems on vector space.
CO3: Apply python functions to solve the problems on linear transformations.
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MAT551A - INTEGRAL TRANSFORMS USING PYTHON (2021 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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This course will help students to gain skills in using Python to illustrate Fourier transforms, Laplace transforms for some standard functions and implementing Laplace transforms in solving ordinary differential equations of first and second order with constant coefficient. Course Objectives: This course will help the learner to COBJ 1:code python language using jupyter interface. COBJ 2:use built in functions required to deal with Fourier and Laplace transforms. COBJ 3: calculate Inverse Laplace transforms and the inverse Fourier transforms of standard functions using sympy.integrals |
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Course Outcome |
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CO1.: Acquire skill in Python Programming to illustrate Fourier series, Fourier and Laplace transforms. CO2.: Use Python program to solve ODE?s by Laplace transforms. |
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MAT551B - MATHEMATICAL MODELLING USING PYTHON (2021 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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Course description: This course provides students with an understanding of the practical and theoretical aspects of mathematical models involving ordinary differential equations (ODEs) using Python programming. Course objectives: COBJ1. The course exposes students to various models spanning disciplines such as physics, biology, engineering, and finance. COBJ2. They will be able to develop a basic understanding of differential equations and skills to implement numerical algorithms to solve mathematical problems using Python. |
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Course Outcome |
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CO1: Acquire proficiency in using Python. CO2: Demonstrate the use of Python to understand and interpret applications of differential equations CO3: Apply the theoretical and practical knowledge to real life situations. |
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MAT551C - GRAPH THEORY USING PYTHON (2021 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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Course description: The course graph theory using Python is aimed at enabling the students to appreciate and understand core concepts of graph theory with the help of technological tools. It is designed with a learner-centric approach wherein the students will understand the concepts of graph theory using programming tools and develop computational skills. Course objectives: This course will help the learner to COBJ1. Gain familiarity in Python language using jupyter interface and NetworkX package COBJ2. Construct graphs and analyze their structural properties. COBJ3. Implement standard algorithms for shortest paths, minimal spanning trees and graph searching.. |
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Course Outcome |
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CO1: construct graphs using related matrices CO2: compute the graph parameters related to degrees and distances CO3: gain mastery to deal with optimization problems related to networks CO4: apply algorithmic approach in solving graph theory problems |
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MAT551D - CALCULUS OF SEVERAL VARIABLES USING PYTHON (2021 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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Course description: The course calculus of several variables using python is aimed at enabling the students to explore and study the calculus with several variables in a detailed manner with the help of the mathematical packages available in Python. This course is designed with a learner-centric approach wherein the students will acquire mastery in understanding multivariate calculus using Python modules. Course objectives: This course will help the learner to gain a familiarity with COBJ1. Skills to implement Python language in calculus of several variables COBJ2. The built-in functions available in library to deal with problems in multivariate calculus |
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Course Outcome |
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CO1: Demonstrate plotting of lines in two and three dimensional space CO2: implementing appropriate codes for finding tangent vector and gradient vector CO3: Evaluate line and double integrals using sympy module CO4: Acquainting suitable commands for problems in applications of line and double integrals. |
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MAT551E - OPERATIONS RESEARCH USING PYTHON (2021 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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Course description: Operations research deals with the problems on optimization or decision making that are affected by certain constraints / restrictions in the environment. This course aims to enhance programming skills in Python to solve problems chosen from Operations Research.
Course objectives: This course will help the learner to COBJ1. gain a familiarity in using Python to solve linear programming problems, calculate the estimates that characteristics the queues and perform desired analysis on a network. COBJ2. use Python for solving problems on Operations Research. |
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Course Outcome |
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CO1: On successful completion of the course, the students should be able to use Python programming to solve linear programming problems by using simplex method and dual simplex method. CO2: On successful completion of the course, the students should be able to solve Transportation Problems and Assignment Problems using Python module. CO3: On successful completion of the course, the students should be able to demonstrate competence in using Python modules to solve M/M/1, M/M/c queues, and Computations on Networks. |
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CSC631 - DESIGN AND ANALYSIS OF ALGORITHMS (2021 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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Understand the concept of a design and develop algorithm, mathematical aspects and analysis of algorithm, sort and search algorithms, various algorithmic techniques, and design methods. |
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Course Outcomes CO1:Demonstrate their ability to apply appropriate Data Structures. CO2: Design and develop algorithms using relevant data structure operations. CO3: Evaluate the Algorithms for its efficiency. |
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CSC641A - INTRODUCTION TO SOFT COMPUTING (2021 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 main objective of this course is to provide fundamental knowledge of soft computing techniques.On successful completion of the course,students will acquire fundamental knowledge of artificial neural network, fuzzy Logic and genetic algorithms. |
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Course Outcome |
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CO1:Describe the structure of artificial neural network and Biological neural network. CO2:Demonstrate various artificial neural network models,supervised,unsupervised and reinforcement learning methods. CO3:Apply Perceptron (Single and Multiple output classes) and Back propagation algorithm in real time applications. |
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CSC641B - CLOUD COMPUTING (2021 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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This course covers a series of current cloud computing technologies, including technologies for Infrastructure as a Service, Platform as a Service, Software as a Service, and Physical Systems as a Service. For different layers of the cloud technologies, practical solutions such as Google, Amazon, Microsoft,SalesForce.com. |
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Course Outcome |
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CO1: Demonstrate the fundamental principles of distributed computing. CO2: Apply distributed computing in Cloud Computing. CO3: Evaluate the business models that underlie Cloud Computing. |
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CSC641C - COMPUTER ARCHITECTURE (2021 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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This course deals with concepts and models of computer peripherals. It explains a set of disciplines that describes a computer system by specifying its parts and their relations. The course provides insights into the basic design of an ALU, the memory design, the various operations performed. |
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Course Outcome |
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CO1: Understand the evolution of computer hardware to meet the needs of multi-processing systems. CO2: Demonstrate the basic computer organization |