Department of
ECONOMICS






Syllabus for
Bachelor of Science (Economics, Mathematics, Statistics)
Academic Year  (2023)

 
3 Semester - 2022 - Batch
Paper Code
Paper
Hours Per
Week
Credits
Marks
AEN321 ADDITIONAL ENGLISH 3 3 100
ECO301 RESEARCH METHODOLOGY FOR ECONOMICS 2 2 50
ECO331 FUNDAMENTALS OF ECONOMIC GROWTH AND DEVELOPMENT 5 5 100
ENG321 ENGLISH-III 3 2 100
FRN321 FRENCH 3 3 100
HIN321 HINDI 3 3 100
KAN321 KANNADA 3 03 50
MAT331 REAL ANALYSIS 4 4 100
MAT351 PYTHON PROGRAMMING FOR MATHEMATICS 2 2 50
SAN321 SANSKRIT 3 3 100
STA331 STATISTICAL INFERENCE 4 4 100
STA351 STATISTICAL INFERENCE PRACTICAL 2 2 50
STA371 APPLIED EXCEL 4 4 100
TAM321 TAMIL 3 3 100
4 Semester - 2022 - Batch
Paper Code
Paper
Hours Per
Week
Credits
Marks
AEN421 ADDITIONAL ENGLISH 3 3 100
ECO401 ADVANCED MICRO AND MACROECONOMICS 2 2 50
ECO431 INTERNATIONAL ECONOMICS 5 5 100
ENG421 ENGLISH-IV 3 2 100
FRN421 FRENCH 3 3 100
HIN421 HINDI 3 3 100
KAN421 KANNADA 3 03 50
MAT431 ALGEBRA 4 4 100
MAT451 PYTHON PROGRAMMING FOR MATHEMATICAL MODELLING 2 2 50
SAN421 SANSKRIT 3 3 100
STA431 ELEMENTS OF STOCHASTIC PROCESS 4 4 100
STA451 ELEMENTS OF STOCHASTIC PROCESS PRACTICAL 2 2 50
TAM421 TAMIL 3 3 100
5 Semester - 2021 - Batch
Paper Code
Paper
Hours Per
Week
Credits
Marks
ECO532 MATHEMATICAL ECONOMICS 4 4 100
ECO541A PUBLIC FINANCE 4 4 100
ECO541C ECONOMICS OF BANKING AND INSURANCE 4 4 100
MAT511 ANALYTICAL AND LOGICAL REASONING 3 2 100
MAT531 LINEAR ALGEBRA 3 3 100
MAT541A INTEGRAL TRANSFORMS 3 3 100
MAT541B MATHEMATICAL MODELLING 3 3 100
MAT541C GRAPH THEORY 3 3 100
MAT541D CALCULUS OF SEVERAL VARIABLES 3 3 100
MAT541E OPERATIONS RESEARCH 3 3 100
MAT551 LINEAR ALGEBRA USING PYTHON 2 2 50
MAT551A INTEGRAL TRANSFORMS USING PYTHON 2 2 50
MAT551B MATHEMATICAL MODELLING USING PYTHON 2 2 50
MAT551C GRAPH THEORY USING PYTHON 2 2 50
MAT551D CALCULUS OF SEVERAL VARIABLES USING PYTHON 2 2 50
MAT551E OPERATIONS RESEARCH USING PYTHON 2 2 50
MAT581 INTERNSHIP 0 2 100
STA531 LINEAR REGRESSION MODELS 3 3 100
STA541A SAMPLING TECHNIQUES 3 3 100
STA541B DESIGN OF EXPERIMENTS 3 3 100
STA541C ACTUARIAL STATISTICS 3 3 100
STA541D INTRODUCTION TO SPATIAL STATISTICS 3 3 100
STA551 LINEAR REGRESSION MODELS PRACTICAL 2 2 50
STA552A SAMPLING TECHNIQUES PRACTICAL 2 2 50
STA552B DESIGN OF EXPERIMENTS PRACTICAL 2 2 50
STA552C ACTUARIAL STATISTICS PRACTICAL 2 2 50
STA552D SPATIAL STATISTICS PRACTICAL 2 2 50
6 Semester - 2021 - Batch
Paper Code
Paper
Hours Per
Week
Credits
Marks
ECO631 INTRODUCTION TO ECONOMETRICS 4 4 100
ECO641A ENVIRONMENTAL ECONOMICS 4 4 100
ECO641B FINANCIAL ECONOMICS 4 4 100
MAT631 COMPLEX ANALYSIS 3 3 100
MAT641A MECHANICS 3 3 100
MAT641B NUMERICAL METHODS 3 3 100
MAT641C DISCRETE MATHEMATICS 3 3 100
MAT641D NUMBER THEORY 3 3 100
MAT641E FINANCIAL MATHEMATICS 3 3 100
MAT651 COMPLEX ANALYSIS USING PYTHON 2 2 50
MAT651A MECHANICS USING PYTHON 2 2 50
MAT651B NUMERICAL METHODS USING PYTHON 2 2 50
MAT651C DISCRETE MATHEMATICS USING PYTHON 2 2 50
MAT651D NUMBER THEORY USING PYTHON 2 2 50
MAT651E FINANCIAL MATHEMATICS USING EXCEL AND PYTHON 2 2 50
MAT681 PROJECT ON MATHEMATICAL MODELS 5 5 150
STA631 TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES 3 3 100
STA641A APPLIED STATISTICS 3 3 100
STA641B STATISTICAL QUALITY CONTROL 3 3 100
STA641C BIOSTATISTICS 3 3 100
STA641D STATISTICAL GENETICS 3 3 100
STA651 TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES PRACTICAL 2 2 50
STA652A APPLIED STATISTICS PRACTICAL 2 2 50
STA652B STATISTICAL QUALITY CONTROL PRACTICAL 2 2 50
STA652C BIOSTATISTICS PRACTICAL 2 2 50
STA652D STATISTICAL GENETICS PRACTICAL 2 2 50

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.

Learning 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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECO301 - RESEARCH METHODOLOGY FOR ECONOMICS (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 is designed to enable students to understand the importance of research in creating and extending the knowledge base in their research interests. In this process, it develops the students' ability to distinguish between the strengths and limitations of different research approaches in general and in their research area specifically. Finally, the course imparts skills to work independently, to plan and carry out a small-scale research project.

Learning Outcome

CO1: Demonstrate knowledge of research processes (reading, evaluating, and developing).

CO2: Perform literature reviews using print and online databases.

CO3: Employ American Psychological Association (APA) formats for citations of print and electronic materials.

CO4: Identify, explain, compare, and prepare the key elements of a research proposal/report.

CO5: Define and develop a possible research interest area using specific research designs.

CO6: Acquire skills to work independently to plan and carry out a small-scale research project.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECO331 - FUNDAMENTALS OF ECONOMIC GROWTH AND DEVELOPMENT (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:5

Course Objectives/Course Description

 

The course is intended to give an understanding of the theoretical perceptions of economic growth and development together with the forces bringing about them. It also helps to broaden the awareness of the challenges in the developmental process and thus motivate the students towards the thought process of alternative solutions.

Learning Outcome

The students will

1. Gain conceptual base in Economic Dvelopment and Growth.

2. Familiarise with key models and theories in Dvelopment and Growth.

3. Gain insight in to the key issues of economic development.

4. Get awareness of the approaches to development efforts.

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

 

 

 

 

 

 

 

 

 

 

 

 

 

Learning Outcome

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

 

French as second language for the Arts, Science and Commerce UG program

Learning Outcome

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.

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 

Learning Outcome

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.

Learning Outcome

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.

 

Learning Outcome

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

Learning 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.

Learning Outcome

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

STA331 - STATISTICAL INFERENCE (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 is designed to introduce the concepts of theory of estimation and testing of hypothesis. This paper also deals with the concept of parametric tests for large and small samples. It also provides knowledge about non-parametric tests and its applications.

Learning Outcome

CO1: Demonstrate the concepts of point and interval estimation of unknown parameters and their significance using large and small samples.

CO2: Apply the idea of sampling distributions of difference statistics in testing of hypotheses.

CO3: Apply the concept of nonparametric tests for single sample and two samples.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

STA351 - STATISTICAL INFERENCE PRACTICAL (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 is designed to give a practical exposure for testing of hypothesis by analyzing various data sets using R programming.

Learning Outcome

CO1: Demonstrate the parametric tests for small and large samples using R programming.

CO2: Demonstrate the non-parametric tests for real time data using R programming.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

STA371 - APPLIED EXCEL (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 is designed to build the logical thinking ability and to provide hands-on experience in solving statistical models using MS Excel with Problem based learning. To explore and visualize data using excel formulas and data analysis tool pack.

 

Learning Outcome

CO1: Demonstrate the logics of using excel features.

CO2: Demonstrate the building blocks of excel, excel shortcuts, sample data creation and analyzing data.

CO3: Analyze the data sets using Data Analysis Pack.

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

 

 

Learning Outcome

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.  

Learning 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

ECO401 - ADVANCED MICRO AND MACROECONOMICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The course is designed to provide a sound understanding of some of the advanced concepts in Microeconomics and Macroeconomics. The course combines mathematical approach along with the geometric approach to economic theory and includes some intermediate concepts, which aim to bridge the gap between the Principles of Microeconomics and Macroeconomics that the students have studied in the first year and the Mathematical Economics.   

Learning Outcome

·         Sound understanding of the concepts at the intermediate level relating to consumer behavior, production and market structure

·         Students will get familiar with the mathematical approach to economic analysis

 

Understanding of the macroeconomic functioning of the economy

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECO431 - INTERNATIONAL ECONOMICS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:5

Course Objectives/Course Description

 

The aim of this paper is to provide students with strong foundation in the principles of international economics which will help them to know the trade policies at the national and international levels and the impact of the globalization on income, employment and social standards in the current international scenario. The paper also covers the pure theory of trade and extensions thereof, customs union, and balance of payments adjustment policies under alternative exchange-rate regimes including the determination of the exchange rate.

Learning Outcome

CO1: gain a strong foundation in the principles of international economics.

CO2: be able to know the trade policies at the national and international levels and the impact of globalization on income, employment and social standards in the current international scenario.

CO3: gain an understanding of the trade policies.

Unit-1
Teaching Hours:6
Introduction and Essentials
 

The Subject Matter of International Economics; Trade Based on Absolute Advantage; Trade Based on Comparative Advantage; Comparative Advantage and Opportunity Costs; Empirical Tests of the Ricardian Model.

Text Books And Reference Books:

Dominick Salvatore (2011), International Economics: Trade and Finance, John Wiley International Student Edition, 10th Edition.

Essential Reading / Recommended Reading

Dominick Salvatore (2011), International Economics: Trade and Finance, John Wiley International Student Edition, 10th Edition.

Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

 

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

 

 

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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

 

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.  

 

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

CO1: Solve differential equations governed by mathematical models using Python.

CO2: Demonstrate the use of Python to interpret and analyze the data.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA431 - ELEMENTS OF STOCHASTIC PROCESS (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 designed to introduce the concepts, models and problem solving techniques of stochastic process.

Learning Outcome

CO1: Solve the problems related to business or industry which are stochastic in nature.

CO2: Demonstrate the different queuing systems and methods to solve the queuing problems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA451 - ELEMENTS OF STOCHASTIC PROCESS PRACTICAL (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 is designed to teach practical Stochastic process problems using statistical softwares.

Learning Outcome

CO1: Demonstrate and evaluate stochastic models using statistical softwares.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.



Learning Outcome

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

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

ECO532 - MATHEMATICAL ECONOMICS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The  main  objectives  of the  paper  are  to  train  the  students to  grasp  the  use  of mathematical techniques and operations to analyse economic problems and to  initiate students into various economic concepts which are amenable to mathematical treatment.

Learning Outcome

CO1: Possess a solid grasp of essential mathematical tools required for the further studies in economic theory.

CO2: Use and explain the underlying principles, terminology, methods, techniques and conventions used in the subject

CO3: Develop an understanding of optimization techniques used in economic theory.

CO4: Solve economic problems using the mathematical methods described in the course.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

ECO541A - PUBLIC FINANCE (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course is an overview of government finances with special reference to India. It covers the theoretical and empirical dimensions of public goods, externalities, fiscal instruments and fiscal federalism. It will  look into the efficiency and equity aspects of taxation of the centre, states and the local governments. It also covers the present fiscal management issues of India.  The course will be useful for students aiming towards careers in the government sector and policy analysis. 

 

Learning Outcome

CO1: List out various reasons for the market failure and mechanisms to deal with market failure situation.

CO2: Demonstrate a good understanding of the fiscal framework for taxing and spending and of fiscal policy principles

CO3: Examine key issues and challenges in fiscal policy in a particular development or country context.

CO4: Discuss the reasons for government intervention in the economy as well as different types of regulation

CO5: Evaluate and compare different policies of taxation, public expenditure and public borrowing and public borrowing

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

ECO541C - ECONOMICS OF BANKING AND INSURANCE (2021 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 is an elective course. This course attempts to make students understand the broad functioning of a bank both at the macro and micro levels and measure the performance of banks. The said course also offers basic knowledge about the uniqueness of the Insurance business and thereby enables the participants to understand the multi-disciplinary functions of an Insurance organization.

Course Objectives

This course enables the participants to understand the multi-disciplinary functions of a banking sector and also Insurance organization both at the macro and micro levels.

Learning Outcome

CO1: Understanding the various practices related to banking and insurance and prepares students for a career in this field.

CO2: Examine various aspects of risk management through life and non-life insurance products including their structure.

CO3: Demonstrate the application of the concepts and principles of banking and insurance in real-world situations

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT511 - ANALYTICAL AND LOGICAL REASONING (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Analytical and Logical Training Skills is an add-on course. This course is designed in a way that inculcates the habit of application of concepts thereby paving way for effective learning and optimal utilization of time. It is specially designed for high performance in Quantitative, reasoning and general knowledge sections of various examinations.

 

Course Objective: This course will the learner to 

COBJ1, enhance aptitude and reasoning skills

COBJ2. quickly answer the questions on quantitative, reasoning and general knowledge

 COBJ3. face competitive examinations boldly and be successful also.

Learning Outcome

CO1: Solve questions based on Logic, Reasoning, Basic Numeracy and Arithmetic aptitude.

CO2: Recognize the pattern and approach to questions based on Verbal and Quantitative reasoning.

CO3: Improve Speed and Accuracy in solving Multiple Choice based questions.

CO4: Improve General awareness and knowledge base of the students.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

This course aims at providing a solid foundation upon the fundamental theories on Fourier and Laplace transforms.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT551 - LINEAR ALGEBRA 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

 

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

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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..

Learning Outcome

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

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

 

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.

Learning Outcome

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT581 - INTERNSHIP (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:0
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description: This course provide the students an opportunity to gain work experience in the relevant institution / industry, connected to their subject of study. The experience gained in the workplace will give the students a competitive edge in their career.

 

Course Objective: This course help the learner to

COBJ1. get exposed the work ethics of the field of their professional interest

COBJ2. gain practical experience on the field of their interest

COBJ3. choose their career through practical experience

 

Learning Outcome

CO1: be competent in the field of their professional interest.

CO2: strengthen/upgrade the knowledge base required for handling problems during work

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA531 - LINEAR REGRESSION MODELS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course deals with simple and multiple linear regression models with their assumptions, estimation and their significance of regression coefficients. Model and variable selection techniques and variable transformation techniques are discussed.

Learning Outcome

CO1: Demonstrate simple and multiple regression analysis with one dependent and one or more independent variables.

CO2: Infer about r-square, adjusted r-square for model selection.

CO3: Apply the concepts of forward, backward and stepwise methods for selecting the independent variables.

CO4: Demonstrate the concepts of heteroscedasticity, multicollinearity, autocorrelation and residual plots.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA541A - SAMPLING TECHNIQUES (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 

This course designed to introduce about official statistical system in India and to understand the concepts of basic Sample survey designs.

Learning Outcome

 After completion of this course the students will be able to

1. Demonstrate the basic principles and different steps in planning a sample survey.

2. Analysis various sampling techniques and their application

3. Demonstrate the official Statistical System in India.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA541B - DESIGN OF EXPERIMENTS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course introduces various experimental designs, selection of appropriate designs in planning a scientific experimentation.

Learning Outcome

CO1: CO1 Demonstrate the concepts of Analysis of Variance with comparison of more than two treatment.

CO2: Apply the concepts of ANCOVA to compare the efficiency of various designs.

CO3: Demonstrate the applications of factorial experiments with confounding.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA541C - ACTUARIAL STATISTICS (2021 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 designed to introduce the application of statistical methods in framing the insurance

policies.

Learning Outcome

CO1: Demonstrate the principle terms used and major life insurance covered by Indian life insurance.

CO2: Infer the calculation of premium for various life insurance policies.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA541D - INTRODUCTION TO SPATIAL STATISTICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 

This course designed as an application of statistics in geographical data analysis

Learning Outcome

CO1: Demonstrate the basic biological concepts in genetics

CO2: Infer the bioassays and their types

CO3: Demonstrate the Feller?s theorem and dose response estimation using regression models and dose allocation schemes.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA551 - LINEAR REGRESSION MODELS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The course is designed to provide a practical exposure to the students in Simple and Multiple linear

Regression Analysis.

Learning Outcome

CO1: Demonstrate the fitting of linear regression models for the real time data

CO2: Infer model adequacy through various model selection process.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA552A - SAMPLING TECHNIQUES PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

 

The course is designed to provide a practical exposure to the students in application of different sampling techniques.

Learning Outcome

CO1: After completion of this course the students will acquire the knowledge on different sampling techniques

CO2: After completion of this course the students will able to decide the application of different sampling techniques under different situation.

CO3: After completion of this course the students will be able to design sampling procedures for various situations

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA552B - DESIGN OF EXPERIMENTS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The course is designed to provide a practical exposure to the students for the various experimental

designs.

Learning Outcome

CO1: Demonstrate the construction and analyses of various experimental designs using R programming.

CO2: Demonstrate the efficiencies of various designs using R

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA552C - ACTUARIAL STATISTICS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The course is designed to provide a practical exposure to the students in Actuarial Modeling.

Learning Outcome

CO1: To develop a deeper understanding of the premium and risk calculations of life insurance policies.

CO2: To implement actuarial statistics in real life

CO3: To construct new models using real-life concepts

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA552D - SPATIAL STATISTICS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

 

This course is designed to teach practical Spatial problems using statistical softwares.

Learning Outcome

CO1: Demonstrate practically evaluate Spatial Statistical models using R programming.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

ECO631 - INTRODUCTION TO ECONOMETRICS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

 

The objective of this course is to provide the basic knowledge of econometrics that is essential equipment for any economist. The course is designed to impart the learning of principles of econometric methods and tools. This is expected to improve student’s ability to understand of econometrics in the study of economics and finance.

Learning Outcome

CO1: Develop simple and multiple regression models and get acquainted with some advanced linear models and applying regression analysis to real-world economic examples and data sets.

CO2: Understand the different methods of econometric analysis, estimation and understanding the area of their application in economics.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

ECO641A - ENVIRONMENTAL ECONOMICS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

To enhance the skills of the students in the application of the economic principles in solving environmental problems; to make the students understand the importance  of proper policy formulations in the environmental front.

Learning Outcome

CO1: ? Explain how economics principles and tools can be used to analyse significance of the environment for the economy

CO2: ? Describe the potential for market and government mechanisms to address environmental issues

CO3: ? Conduct environmental valuation using any of the standard techniques studied in the course

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

ECO641B - FINANCIAL ECONOMICS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

 

This course introduces students to the conceptual and practical operations of the financial markets, institutions, and instruments network in the Indian context. The course is intended to provide an in-depth understanding of the operational issues of capital and money market network along with its regulatory framework.

 

Learning Outcome

CO1: Demonstrate knowledge and understanding of financial market operations, regulations, instruments of primary, secondary markets and its impact on the economy

CO2: Solve typical problems related to asset pricing, risk-return trade-off, equity valuation, and bond valuation using excel and evaluate company's stock performance using real-life data from online sources

CO3: Develop the capacity to raise critical questions, debate on impact of current events taking place in the financial market and economy as a whole

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT631 - COMPLEX ANALYSIS (2021 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 enables the students to understand the basic theory and principles of complex analysis.

COBJ1.     understand the theory and geometry of complex numbers.

COBJ2.     evaluate derivatives and integrals of functions of complex variables.

COBJ3.     examine the transformation of functions of complex variables.

COBJ4.   obtain the power series expansion of a complex valued function.

Learning Outcome

CO 1: understand the concepts of limit, continuity, differentiability of complex functions.

CO 2: evaluate the integrals of complex functions using Cauchy?s Integral Theorem/Formula and related results.

CO 3: examine various types of transformation of functions of complex variables.

CO 4: demonstrate the expansions of complex functions as Taylor, Power and Laurent Series, Classify singularities and poles.

CO 5: apply the concepts of complex analysis to analyze and address real world problems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT641A - MECHANICS (2021 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 aims at introducing the basic concepts in statistics as well as dynamics of particles and rigid bodies; develop problem solving skills in mechanics through various applications.

Course objectives: This course will help the learner to

COBJ1. Gain familiarity with the concepts of force, triangular and parallelogram laws and conditions of equilibrium of forces.

COBJ2. Analyse and interpret the Lamis Lemma and the resultant of more than one force.

COBJ3. examine dynamical aspect of particles and rigid bodies.

COBJ4. illustrate the concepts of simple harmonic motion and projectiles

 

Learning Outcome

CO1: Compute resultant and direction of forces and examine the equilibrium of a force.

CO2: Apply Lamis's Theorem and Varignon's Theorem in solving problems.

CO3: Analyse the motion of a particle on a smooth surface.

CO4: Discuss the motion of a particles subjected to Simple Harmonic Motion and fundamental concepts Projectiles.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT641B - NUMERICAL METHODS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course description: To explore the complex world problems physicists, engineers, financiers and mathematicians require certain methods. These practical problems can rarely be solved analytically. Their solutions can only be approximated through numerical methods. This course deals with the theory and application of numerical approximation techniques.

 

Course objectives: This course will help the learner

COBJ1. To learn about error analysis, solution of nonlinear equations, finite differences, interpolation, numerical integration and differentiation, numerical solution of differential equations, and matrix computation.

COBJ2. It also emphasis the development of numerical algorithms to provide solutions to common problems formulated in science and engineering.

Learning Outcome

CO1.: Understand floating point numbers and the role of errors and its analysis in numerical methods.

CO2.: Derive numerical methods for various mathematical operations and tasks, such as interpolation, differentiation, integration, the solution of linear and nonlinear equations, and the solution of differential equations.

CO3.: Apply numerical methods to obtain approximate solutions to mathematical problems.

CO4.: Understand the accuracy, consistency, stability and convergence of numerical methods

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT641C - DISCRETE MATHEMATICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course description: It is a fundamental course in combinatorics involving set theory, permutations and combinations, generating functions, recurrence relations and lattices.

Course objectives: This course will help the learner to 

COBJ 1: Gain a familiarity with fundamental concepts of combinatorial mathematics.

COBJ 2: Understand the methods and problem solving techniques of discrete mathematics

COBJ 3: Apply knowledge to analyze and solve problems using models of discrete mathematics

Learning Outcome

CO 1: Enhance research, inquiry, and analytical thinking abilities.

CO 2: Apply the basics of combinatorics in analyzing problems.

CO 3: Enhance problem-solving skills.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT641D - NUMBER THEORY (2021 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 an introduction to elementary topics of analytical number theory. Topics such as divisibility, congruences and number-theoretic functions are discussed in this course. Some of the applications of these concepts are also included.

Course Objectives: This course will help the learner to

COBJ 1: Engage in sound mathematical thinking and reasoning.

COBJ 2: Analyze, evaluate, or solve problems for given data or information.

COBJ 3: Understand and utilize mathematical functions and empirical principles and processes.

COBJ 4: Develop critical thinking skills, communication skills, and empirical and quantitative skills.

Learning Outcome

CO1: effectively express the concepts and results of number theory.

CO2: understand the logic and methods behind the proofs in number theory.

CO3: solve challenging problems in number theory.

CO4: present specific topics and prove various ideas with mathematical rigour.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT641E - FINANCIAL MATHEMATICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:Financial Mathematics deals with the solving of financial problems by using Mathematical methods. This course aims at introducing the basic ideas of deterministic mathematics of finance. The course focuses on imparting sound knowledge on elementary notions like simple interest, complex interest (annual and non-annual), annuities (varying and non-varying), loans and bonds.

Course objectives: This course will help the learner to

COBJ 1: gain familiarity in solving problems on Interest rates and Level Annuitiesd

COBJ 2: derive formulae for different types of varying annuities and solve its associated problems

COBJ 3: gain in depth knowledge on Loans and Bonds and hence create schedules for Loan Repayment and Bond Amortization Schedules.

Learning Outcome

CO1: On successful completion of the course, the students should be able to deal with the elementary notions like simple interest, compound interest and Annuities.

CO2: On successful completion of the course, the students should be able to solve simple problems on interest rates, annuities, varying annuities, non-annual interest rates, loans and bonds.

CO3: On successful completion of the course, the students should be able to apply the formulae appropriately in solving problems that mimics real life scenario.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT651 - COMPLEX ANALYSIS 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

 

Course Description: This course will enable students to have hands on experience in constructing analytic functions, verifying harmonic functions, illustrating Cauchy’s integral theorem and bilinear transformations and in illustrating different types of sequences and series using Python.

Course Objectives: This course will help the learner to

COBJ 1:Python language using jupyter interface

COBJ 2:Solving basic arithmetic problems using cmath built-in commands

COBJ 3:Solving problems using cmath.

Learning Outcome

CO 1: acquire proficiency in using Python and cmath functions for processing complex numbers.

CO 2: skilful in using Python modules to implement Milne-Thompson method.

CO 3: expertise in illustrating harmonic functions and demonstrating Cauchy?s integral theorem Representation of conformal mappings using Matplotlib.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT651A - MECHANICS 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

 

Course Description: This course aims at enabling the students to explore and study the statics and dynamics of particles in a detailed manner using Python. This course is designed with a learner-centric approach wherein the students will acquire mastery in understanding mechanics using Python.

Course objectives: This course will help the learner to

COBJ 1: Acquire skill in usage of suitable functions/packages of Python.

COBJ 2: Gain proficiency in using Python to solve problems on Mechanics.   

Learning Outcome

CO1: Acquire proficiency in using different functions of Python to study Differential Calculus. Mechanics.

CO2: Demonstrate the use of Python to understand and interpret the dynamical aspects of Python.

CO3: Use Python to evaluate the resultant of forces and check for equilibrium state of the forces.

CO4: Be familiar with the built-in functions to find moment and couple.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT651B - NUMERICAL METHODS 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

 

Course Description: This course will help the students to have an in depth knowledge of various numerical methods required in scientific and technological applications. Students will gain hands on experience in using Python for illustrating various numerical techniques.

Course Objectives: This course will help the learner to

COBJ 1: Develop the basic understanding of numerical algorithms and skills to implement algorithms to solve mathematical problems using Python.

COBJ 2: To develop the basic understanding of the applicability and limitations of the techniques.

Learning Outcome

CO1.: Implement a numerical solution method in a well-designed, well-documented Python program code.

CO2.: Interpret the numerical solutions that were obtained in regard to their accuracy and suitability for applications

CO3.: Present and interpret numerical results in an informative way.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT651C - DISCRETE MATHEMATICS 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

 

Course description: This course aims at providing hands on experience in using Python functions to illustrate the notions of combinatorics, set theory and relations.

Course objectives: This course will help the learner to

COBJ1. Gain a familiarity with programs on fundamental concepts of Combinatorial Mathematics

COBJ2. Understand and apply knowledge to solve combinatorial problems using Python

Learning Outcome

CO 1: Attain sufficient skills in using Python functions

CO 2: Demonstrate programming skills in solving problems related to applications of computational mathematics.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT651D - NUMBER 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

 

Course Description: This course will help the students to gain hands-on experience in using Python for illustrating various number theory concepts such as the divisibility, distribution of primes, number conversions, congruences and applications of number theory.

Course Objectives: This course will help the learner to

COBJ 1: Be familiar with the built- in functions required to deal with number theoretic concepts and operations.

COBJ 2: Develop programming skills to solve various number theoretic concepts.

COBJ 3: Gain proficiency in symbolic computation using python.

Learning Outcome

CO1: to solve problems in number theory, number conversions.

CO2: to demonstrate the understanding of number theory concepts.

CO3: to model and solve practical problems using number theoretic concepts.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT651E - FINANCIAL MATHEMATICS USING EXCEL AND PYTHON (2021 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 aims at providing hands on experience in using Excel/Python programming to illustrate the computation of constant/varying force of interest, continuously payable varying/non-varying annuities, increasing/decreasing annuity immediate/due, loans and bonds.

Course objectives: This course will help the learner to

COBJ 1: acquire skill in solving problems on Financial Mathematics using Python.

COBJ 2: gain proficiency in using the Python programming skills to solve problems on Financial Mathematics.

Learning Outcome

CO1: demonstrate sufficient skills in using Python programming language for solving problems on Financial Mathematics.

CO2: apply the notions on various types of interests, annuities, loans and bonds, by solving problems using Python.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

MAT681 - PROJECT ON MATHEMATICAL MODELS (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:150
Credits:5

Course Objectives/Course Description

 

Course description: The course aims at providing hands on experience in analyzing practical problems by formulating the corresponding mathematical models.

Course objectives: This course will help the learner to

 COBJ1. Develop positive attitude, knowledge and competence for research in Mathematics

Learning Outcome

CO1.: Demonstrate analytical skills.

CO2.: Apply computational skills in Mathematics

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA631 - TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course covers applied statistical methods pertaining to time series and forecasting techniques. Moving average models like simple, weighted and exponential are dealt with. Stationary time series models and non-stationary time series models like AR, MA, ARMA and ARIMA are introduced to analyse time series data.

Learning Outcome

CO1: Demonstrate the approach and analyze univariate time series

CO2: Infer the difference between various time series models like AR, MA, ARMA and ARIMA models

CO3: Apply the various forecasting techniques to predict the future observations for real time data.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA641A - APPLIED STATISTICS (2021 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 designed to teach demographic methods, mortality and fertility rates, concept of index numbers and their usages are explained. Demand analysis helps students to understand the various statistical tools used in demand and supply sector. Educational and psychological statistics are used to emphasize the usage of statistics in real life.

Learning Outcome

CO1: Demonstrate the demographic profiles, mortality and fertility rates.

CO2: Infer the concepts of Demand and supply and their importance

CO3: Demonstrate the importance of index numbers and their usage.Demonstrate the importance of index numbers and their usage.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA641B - STATISTICAL QUALITY CONTROL (2021 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 designed to introduce the application of statistical tools on industrial environment to study, analyze and control the quality of products.

Learning Outcome

CO1: Demonstrate the concepts control charts and sampling plans to improve the quality standards of the products.

CO2: Apply the idea of Reliability theory to control the quality of industrial outputs.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA641C - BIOSTATISTICS (2021 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 designed as an application of statistics in medical sciences. The concepts of bioassays, quantitative epidemiology and survival analysis are introduced. R programming is used to analyze the biomedical data.

Learning Outcome

CO1: Demonstrate the basic biological concepts in Statistical genetics

CO2: Infer the bioassays, dose-response estimation, and dose-allocation schemes

CO3: Demonstrate the concepts in epidemiology and design and analysis of epidemiological studies.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA641D - STATISTICAL GENETICS (2021 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 designed to introduce the basic concepts of genetics,estimation of linkage, Application and extension of the equilibrium law under different situation.This course also introduces the concept of inbreeding, Heritability, Repeatability and Geneticcorrelationin large populations.

Learning Outcome

CO1: Demonstrate the basic concepts of genetics and their applications.

CO2: Demonstrate Fisher's fundamental theorem of natural selection with different forces.

CO3: Demonstrate methods of estimation of Heritability, Repeatability and Genetic correlation.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA651 - TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

 

The course is designed to provide a practical exposure to the students in Time Series analysis

Learning Outcome

CO1: Demonstrate the analyses of univariate time series for real time data

CO2: Forecast the future values of a given univariate time series.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA652A - APPLIED STATISTICS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

This course is designed to teach practical problems in demographic methods,Demand analysis, indexnumbers and educational statistics.

Learning Outcome

CO1: Demonstrate and evaluate demographic profiles, calculate various index numbers.

CO2: Apply concepts of Psychological and educational statistics for real life problems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA652B - STATISTICAL QUALITY CONTROL PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

 

The course is designed to provide a practical exposure to the students for the various statistical quality control tools.

Learning Outcome

CO1: Demonstrate the variable and attribute control charts for industrial data

CO2: Demonstrate the sampling plans using R programming/EXCEL.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA652C - BIOSTATISTICS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

 

 This course is designed to teach practical bio statistical problems using statistical softwares.

Learning Outcome

CO1: Demonstrate and evaluate bio statistical models using R programming.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks

STA652D - STATISTICAL GENETICS PRACTICAL (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

This course is designed to teach practical biostatistical problems using statistical softwares.

Learning Outcome

CO1: Demonstrate and evaluate bio statistical models using R programming.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I  : 20 marks

CIA II (Mid semester Exam) : 50 Marks

CIA III : 20 Marks

End Semester Examination : 100 Marks