Department of SCIENCES NCR

Syllabus for
BSc (Economics, Data Analytics/Honours/Honours with Research)
Academic Year  (2023)

 
1 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BBA141B MARKETING AND SELLING SKILLS Multidisciplinary Courses 3 3 50
COM143 ENTREPRENEURSHIP DEVELOPMENT AND SMALL BUSINESS MANAGEMENT Multidisciplinary Courses 3 3 100
COM144 FINANCIAL LITERACY Multidisciplinary Courses 3 03 100
DSC001-1N PRINCIPALS OF PROGRAMMING Bridge Courses 2 0 50
DSC101-1N PRINCIPLES OF DATA SCIENCE AND DIGITAL COMPUTER FUNDAMENTALS Major Core Courses-I 4 4 100
DSC161-1N PYTHON PROGRAMMING Skill Enhancement Courses 3 3 100
ECO108-1N PRINCIPLES OF MICROECONOMICS Major Core Courses-I 4 4 100
ECO141-1N MARKET AND ECONOMY Multidisciplinary Courses 3 3 100
ECO162-1N SOCIAL, LEGAL AND ENVIRONMENTAL ADAPTABILITY Skill Enhancement Courses 3 3 100
ENG181-1 ENGLISH Ability Enhancement Compulsory Courses 2 2 50
POL142-1N GLOBAL POWER AND POLITICS Multidisciplinary Courses 3 3 50
STA121-1N INTRODUCTION TO STATISTICS Minor Core Courses 3 3 100
2 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
COM149N INVESTMENTS AND TRADING STRATEGIES Multidisciplinary Courses 3 3 100
DAS101-2N INTRODUCTION TO ARTIFICIAL INTELLIGENCE Major Core Courses-II 3 3 100
DAS111-2N INTRODUCTION TO ARTIFICIAL INTELLIGENCE LAB Major Core Courses-II 2 1 50
DSC102-2N OPERATING SYSTEM Major Core Courses-I 4 4 100
ECO106-2N PRINCIPLES OF MACROECONOMICS Major Core Courses-I 4 4 100
ECO107-2N MATHEMATICAL ECONOMICS Major Core Courses-I 4 4 100
ENG181-2 ENGLISH Ability Enhancement Compulsory Courses 3 2 100
POL146 UNITED NATIONS AND SUSTAINABLE DEVELOPMENT Multidisciplinary Courses 3 3 50
PSY156N PSYCHOLOGY OF RELATIONSHIPS Multidisciplinary Courses 3 3 50
STA121-2N STATISTICAL METHODS Minor Core Courses 3 3 100
          

Department Overview:

The Department of Computational Sciences at CHRIST (Deemed to be University) Delhi- NCR has created a niche in the realm of higher education in India through its programmes. Currently, the department offers a wide array of undergraduate courses with multiple specializations in the disciplines of Computer Science, Statistics & Mathematics. This is an ideal place for students with a research blend of mind to explore his/her passion.

Apart from academics, students are moulded holistically through various co-curricular and extracurricular activities. To promote the holistic development of the students and to sustain the academic creativity and inventiveness of the faculty, the department engages in numerous workshops, seminars, industrial interfaces, faculty development programmes and many such endeavours. It is equipped with the highly committed team of instructors having versatile experience in teaching and research. The department also provides opportunities to work on collaborative projects with industry and international universities.

Mission Statement:

VISION The Department of Computational Sciences endeavours to imbibe the vision of the university “Excellence and Service”. The department is committed to this philosophy which pervades every aspect and functioning of the department.

MISSION “To develop a computational scientist with ethical and human values”. To accomplish our mission, the department encourages students to apply their acquired knowledge and skills towards professional achievements in their career. The department also moulds the students to be socially responsible and ethically sound. 

Introduction to Program:

The undergraduate program of B.Sc.(Economics, Data Analytics) is an interdisciplinary dual major programme. The key feature of this program is the combination of insights from data analytics and economic skills with hand on experience in various tools and technologies like Artificial Intelligence, Machine Learning, Data Analytics, Big Data, NLP etc. Also, particular focus on skills required for the complex decision-making in Applied Microeconomics, Finance, Market Research, Operations and Policy Analysis. The progressive approach in the design of the curriculum facilitates students to pursue research/career in the areas of Data Analytics or Economics.

This programme prepares students to become Data Analysts and Economists with various career options, such as Associate Data Analysts, Public Policy Makers, Professors, Civil Servants, Actuaries, Defense Personnel, Researchers, and BFSI (Banking, Financial Services & Insurance). Also, based on the latest NEP guidelines, this programme offers a unique blend of the flexible credit system to support the individual learning needs with research bent. This programme is extended to the fourth year as a B.Sc.(Hons) in Economics or Data Analytics, with or without research. 

Program Objective:

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Understand and apply fundamental principles, concepts and methods in critical areas of Science and multidisciplinary fields.

PO2: To address the challenging requirements in the domain related to Data Analytics and Economics.

PO3: To use effectively the data analytics tools in the analysis of economic and social problems

PO4: Understand and apply fundamental principles, concepts and methods of mathematics.

PO5: Demonstrate problem-solving skills using mathematical techniques

PO6: Apply appropriate methods and tools for research and development in the chosen discipline

Assesment Pattern

CIA : 50%

ESE : 50%

Examination And Assesments

The Department of Computational Sciences at CHRIST (Deemed to be University) Delhi- NCR has created a niche in the realm of higher education in India through its programmes. Currently, the Department offers a wide array of undergraduate courses with multiple specializations in the disciplines of Computer Science, Statistics & Mathematics. A dedicated research block with all the latest research facilities boosts the morale of the faculty and research scholars alike. This is an ideal place for students with a research blend of mind to explore his/her passion. Apart from academics, students are moulded holistically through various co-curricular and extracurricular activities.

To promote the holistic development of the students and to sustain the academic creativity and inventiveness of the faculty the department engages in numerous workshops, seminars, industrial interfaces, faculty development programmes and many such endeavours. It is equipped with a highly committed team of instructors having versatile experience in teaching and research. The department also provides opportunities to work on collaborative projects with industry and international universities.

BBA141B - MARKETING AND SELLING SKILLS (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Course Description

This is the basic course in Marketing and Selling Skills where students will get the exposure of Marketing and sales. The subject gives them a vast and wide insight of the traditional and contemporary aspects in Marketing and sales. The input of basic fundamentals, coupled with the practical knowledge will be given to the students to help them in understanding and designing the sales & marketing tactics and strategies.

 

Course Objective:

      To understand and appreciate the concept of marketing & sales in theory and practice

      To evaluate the environment of marketing and develop a feasible marketing &selling plan 

      To understand and apply the STP of marketing (segmentation, targeting, positioning)

      To have an elementary knowledge of consumer behaviour its determinants and selling skills

Learning Outcome

CO1: Demonstrate a comprehensive understanding of marketing and sales principles, theories, and their practical applications (RBTL 2)

CO2: Identify the key elements of the marketing environment and their impact on marketing and selling activities. (RBTL 3)

CO3: Apply segmentation techniques to categorize target market segments effectively. (RBTL 3)

CO4: Demonstrate basic selling skills, such as effective communication and relationship building, through practical exercises and simulations. (RBTL 2)

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

COM143 - ENTREPRENEURSHIP DEVELOPMENT AND SMALL BUSINESS MANAGEMENT (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Entrepreneurship is not just about start-ups: it is a topic that is rapidly growing in importance in government policy and in the behaviour of established firms. The course provides students with an understanding of the role and personality of the entrepreneur, and a range of skills aimed at successful planning of entrepreneurial ventures. Material covered includes fostering creativity and open-mindedness, knowledge acquisition and management, innovation systems, screening and evaluating new venture concepts, market evaluation and developing a marketing plan, legal Issues Including intellectual property, preparation of venture budgets, and raising finance. The major piece of assessment is the writing of a comprehensive business plan for a new venture.

Learning Outcome

CO 1: Discuss the fundamental concept and emerging trends of entrepreneurship.

CO 2: Elaborate the entrepreneurial process and classify the different styles of thinking.

CO 3: Develop and summarize the creative problem-solving technique and types of innovation.

CO 4: Compile the legal and regulatory framework and social responsibility relating to entrepreneur.

CO 5: Create a business model for a start-up.

CO 6: Build competence to identify the different sources of finance available for a start-up and relate their role in different stages of business.

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

COM144 - FINANCIAL LITERACY (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:03

Course Objectives/Course Description

 

The course aims at enhancing their financial skills as well as training the students to be financial educators with family and friends. There is a need for students to effectively plan and monitor their spending. The course aims at effectively training students and equipping them with the knowledge and tools to manage their finances and also teach others the same.

Learning Outcome

CO1: Understand the basic concepts of financial literacy.

CO2: Apply financial planning and budgeting decisions on a personal and professional front.

CO3: Understand the purpose and functions of the Banking system.

CO4: Understand the role and importance of financial instruments and insurance products.

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

DSC001-1N - PRINCIPALS OF PROGRAMMING (2023 Batch)
Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:0

Course Objectives/Course Description

 

To enable the students to understand the fundamental concepts of problem solving and programming structures. The Objective of the course is to teach students the basic principles of programming. These principles will help lay a solid foundation for the students in pursuing courses related to programming during the program. The Course lays emphasis on the fundamentals of programming. 

Learning Outcome

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

DSC101-1N - PRINCIPLES OF DATA SCIENCE AND DIGITAL COMPUTER FUNDAMENTALS (2023 Batch)
Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course enables students to provide a strong foundation for Data Science and applications related to it. They also understand the underlying core concepts and emerging technologies in data science and learn the process of working with data on large scale. The course also provides the required knowledge about the digital fundamentals of computers. The course covers topics like number systems, logic gates, and flips flops. The discussion about the working of devices like encoders and decoders, multiplexers, and demultiplexers are dealt.

Course Objectives:

1. To provide a strong foundation for data science and the application area related to it, train to explore the process of data pre-processing and machine learning, and to inculcate the importance of ethics while handling data and problems in data science.

2. To provide students with a fundamental understanding of the digital computing concepts from a hardware and software perspective.

Learning Outcome

CO1: Understand the fundamental concepts of data science.

CO2: Explore the concepts of data pre-processing and visualization.

CO3: Learn the basic concepts of machine learning.

CO4: Learn to practice ethics while handling data.

CO5: Provide a basic understanding of the architecture and organization of digital computers.

CO6: Introduce the principles of digital logic and the design of digital circuits.

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

DSC161-1N - PYTHON PROGRAMMING (2023 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 covers the programming paradigms associated with Python. It provides a comprehensive understanding of Python data types, functions and modules with a focus on modular programming.

Course Objectives:

To provide comprehensive knowledge of Python programming paradigms.

Learning Outcome

CO1: Understand and apply core programming concepts.

CO2: To develop Python programs with conditionals and loops.

CO3: Demonstrate significant experience with Python program development environment.

CO4: Design and implement fully-functional programs using commonly used modules and custom functions.

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

ECO108-1N - PRINCIPLES OF MICROECONOMICS (2023 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 expose the students to the basic principles of microeconomic theory. The emphasis will be on thinking like an economist and the course will illustrate how microeconomic concepts can be applied to analyze real-life situations.

Course Objectives

  1. To understand that economics is about the allocation of scarce resources and how that results in trade-offs.
  2. To analyse the role of prices in allocating scarce resources in market economies and explain the consequences of government policies in the form of price controls.
  3. To predict positive as well as normative view points on concepts of market failure and the need for government intervention.

Learning Outcome

CO1: Communicate their knowledge and understanding of economic issues using written, verbal and visual expression

CO2: Use supply and demand to determine changes in market equilibrium (price and output), changes in welfare, and analyze the impact of government policies.

CO3: Model consumer choice and solve for utility-maximizing consumption bundles.

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

ECO141-1N - MARKET AND ECONOMY (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course –Market and Economy – covers the pertinent themes in both Microeconomics and Macroeconomics. It aims at providing a systematic introduction to mainstream approaches to the study of economics and enable students to understand the basic concepts of economic development.

Learning Outcome

CO1: Have an overview of the basic concepts in microeconomics.

CO2: Develop a comprehensive view of the dynamics of markets and factors controlling the markets.

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

ECO162-1N - SOCIAL, LEGAL AND ENVIRONMENTAL ADAPTABILITY (2023 Batch)
Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course description      

This course intends to facilitate coexistence in a rapidly changing world characterised by diversity and exponential new development in social structure. The course aims creates ability to practice harmonious living and develop necessary skills to enrich each other in society. The skills covered will be: Social adaptability, Environmental adaptability, Legal adaptability.

Course Objectives

  1. To inculcate in students the spirit of social tolerance, political responsibility and compassion towards different sections of the society.
  2. To create awareness among students about the various pertinent laws of the land they should be aware of as responsible citizens and the consequences of their violations.
  3. To sensitize the students towards environmental issues and encourage them to think of sustainable alternative solutions.

Learning Outcome

CO1: More aware about their duties and responsibilities towards their society and fellow beings and will be able to assess the impact and consequences of their actions on the society.

CO2: Able to understand the procedures to file FIRs and RTIs, applying for their driving licenses, PAN card, VISA and other legal documentations.

CO3: Able to understand and exercise their rights and duties better and will have the knowhow of what to be done during the time of emergencies.

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

ENG181-1 - ENGLISH (2023 Batch)
Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 
  • To expose learners to a variety of texts to interact with
  • To help learners classify ideologies and be able to express the same
  • To expose learners to visual texts and its reading formulas
  • To help learners develop a taste to appreciate works of literature through the organization of language
  • To help develop critical thinking
  • To help learners appreciate literature and the language nuances that enhances its literary values
  • To help learners understand the relationship between the world around them and the text/literature
  • To help learners negotiate with content and infer meaning contextually
  • To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

Learning Outcome

CO1: Understand how to engage with texts from various countries, historical, cultural specificities, and politics and develop the ability to reflect upon and comment on texts with various themes

CO2: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class

CO3: Develop the ability to communicate both orally and in writing for various purposes

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

POL142-1N - GLOBAL POWER AND POLITICS (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

This course has been conceptualized in order to introduce the students to the study of international relations. It introduces students to major theoretical approaches to understand international politics and diplomacy.

 To introduce the students to:

       The nature, scope and importance of International Relations/Politics

       The basic concepts of International Relations such as Sovereignty, Security, balance of Power etc.

       The contemporary global issues

Learning Outcome

CO1: Demonstrate an understanding of the various concepts in international relations and approaches to studying IR.

CO2: Analyze global issues by understanding the background for the issues.

CO3: Analyze the relations between nations and the formation of international organizations

CO4: Demonstrate an understanding of the impact of international issues on domestic policies.

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

STA121-1N - INTRODUCTION TO STATISTICS (2023 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 designed to introduce the basic concepts of statistics, presentation of data and descriptive measures. This course also introduces the concept of probability.

Course Objectives:

1. To enable students to understand various types of data.

2. To develop ability to summarize data using appropriate graphs, tables and statistical measures.

3. To have understanding of basic concepts of probability and its applications. 

Learning Outcome

CO1: Summarize and present the data in tabular and graphic form.

CO2: Calculate appropriate measures to describe the characteristics of data such as central tendency, dispersion, skewness and kurtosis.

CO3: Understand the basic concepts of probability and calculate the probabilities for various events.

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

COM149N - INVESTMENTS AND TRADING STRATEGIES (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course provides basic knowledge of investment alternatives available for individuals and outlines the functioning of primary and secondary markets. It also focuses on giving exposure to students on stock market trading and strategies.

 

Learning Outcome

CO1: Understand the various investment options available to investor.

CO2: Apply various techniques used by professionals for analyzing and valuing investment options.

CO3: Make a good investment plan.

CO4: Analyze past price movement of securities and predict future price movement.

CO5: Understand the trading strategies in both stock and derivatives segments of trading.

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

DAS101-2N - INTRODUCTION TO ARTIFICIAL INTELLIGENCE (2023 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 an understanding about the issues involved in defining and simulating perception, identifying the problems where AI is required and the different methods available to compare and contrast different AI techniques available, to define and explain learning algorithms and to provide the student additional experience in the analysis and evaluation of complicated systems.

Course Objectives 1. To understand the importance of Artificial Intelligence. 2. To understand various AI techniques. 

Learning Outcome

CO1: Express the modern view of AI and its foundation

CO2: Illustrate search strategies with algorithms and problems.

CO3: Implement proportional logic and apply inference rules.

CO4: Apply suitable techniques for probabilities and handling uncertainty.

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

DAS111-2N - INTRODUCTION TO ARTIFICIAL INTELLIGENCE LAB (2023 Batch)
Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

The course develops an understanding about the issues involved in defining and simulating perception, identifying the problems where AI is required and the different methods available to compare and contrast different AI techniques available, to define and explain learning algorithms and to provide the student additional experience in the analysis and evaluation of complicated systems. 

Course Objectives 1. To understand the various AI techniques. 

Learning Outcome

CO1: Express the different AI techniques, algorithms for applying in different problems.

CO2: Implement proportional logic and apply inference rules

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

DSC102-2N - OPERATING SYSTEM (2023 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 a classical approach to the concepts behind modern computer operating systems. Considers the unifying concept of the operating system as a collection of cooperating sequential processes. Covers topics including file systems, virtual memory, disk request scheduling, concurrent processes, deadlocks, security, and integrity.

Course Objectives:

1. Learn fundamental operating system abstractions such as processes, threads, files, Semaphores, IPC abstractions, shared memory regions, etc.,

2. Learn the principles of concurrency and synchronization, and apply them to write correct concurrent programs/software,

3. Learn basic resource management techniques (scheduling, time management, space management) and principles and how they can be implemented. These also include issues of performance and fairness objectives, avoiding deadlocks, as well as security and protection. 

Learning Outcome

CO1: To understand the services provided by and the design of an operating system

CO2: To understand the file system, memory management and synchronization.

CO3: To understand system calls for managing processes.

CO4: To understand the implementation of OS.

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

ECO106-2N - PRINCIPLES OF MACROECONOMICS (2023 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 give a systematic school-wise introduction to mainstream approaches to the study of macroeconomics. The course begins by introducing students to the various important macroeconomic variables and its measurement technique. Then the course proceeds on a systematic introduction to the important macroeconomic theory adopting a chronological school-wise pattern; beginning from the Classical to the Keynesians, Monetarists, New Classicals and New Keynesians. It has been designed in such a way that it stimulates awareness on the evolution; critiques and debates in the mainstream macroeconomic thought and provided insights into macroeconomic challenges and policy management in progressive nations. It is also intended that this course will develop the ability for objective reasoning about macroeconomic issues.

 Course Objectives

  1. To introduce to the students, the basic principles of macroeconomic theory.
  2. To enable the students to understand the characteristics of major macroeconomic variables.
  3. To provide a vivid understanding to students on the evolution of macroeconomic thought.
  4. To equip students to analyse the dynamic interactions between the major macroeconomic variables.

Learning Outcome

CO1: The students will be acquainted with the mainstream approaches to the study of macroeconomics.

CO2: The students will be able to distinguish between the various approaches and the merits and critiques of each of them.

CO3: The students will acquire the ability to understand the dynamic interactions between the macroeconomic variables and their impact on the economy.

CO4: The students will be able to understand the application of macroeconomics in real world

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

ECO107-2N - MATHEMATICAL ECONOMICS (2023 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 the second part of a compulsory two-course sequence. This part is to be taught in Semester II following the first part in Semester I. The course gives an introduction into differential equation, linear algebra, derivatives and application using calculus. A central aim to this course is to increase "mathematical maturity", confidence and familiarity with the types of problems that students will encounter and built upon later.

Learning Outcome

CO1: The students will be able to apply mathematical techniques and models for the deeper understanding of economics, especially the branches of microeconomics, macroeconomics and econometrics.

CO2: The students will be able to analyse the effect of change and discover techniques to improve your decision-making process.

CO3: The students will be able to Develop an understanding of Economic dynamics and solve problems through adjustments with time.

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

ENG181-2 - ENGLISH (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 
  • To expose learners to a variety of texts to interact with
  • To help learners classify ideologies and be able to express the same
  • To expose learners to visual texts and its reading formulas
  • To help learners develop a taste to appreciate works of literature through the organization of language
  • To help develop critical thinking
  • To help learners appreciate literature and the language nuances that enhances its literary values
  • To help learners understand the relationship between the world around them and the text/literature
  • To help learners negotiate with content and infer meaning contextually
  • To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

Learning Outcome

CO1: Understand how to engage with texts from various countries, historical, cultural specificities, and politics and develop the ability to reflect upon and comment on texts with various themes

CO2: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class

CO3: Develop the ability to communicate both orally and in writing for various purposes

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

POL146 - UNITED NATIONS AND SUSTAINABLE DEVELOPMENT (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The course will introduce the students to how UN public policy has evolved in achieving its core mandate to maintain international peace and security through establishing cooperation among countries to address the issues without borders, towards achieving sustainable development Under the Sustainable Development Agenda with its economic, social and environmental dimensions the UN has gone beyond its earlier objective of preventing war and is ensuring human security.

Course Objectives

The course aims to help students:

 To understand the working of United Nations Organization.

 To identify the sustainable development goals and their necessity in the world

 

 To understand the various ways in which citizens can promote the SDGs

Learning Outcome

CO1: analyze the challenges to human security.

CO2: develop a broader understanding of United Nations and its involvement in the development of countries

CO3: identify and contribute in their own way to achieving SDGs

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

PSY156N - PSYCHOLOGY OF RELATIONSHIPS (2023 Batch)
Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Understanding close relationships is among the central goals of social psychology. Close relationships range from family ties to friendships to romantic and sexual relationships. Our main purpose will be on learning about the life cycle of adult intimate (i.e., romantic) relationships, ranging from stages of initial attraction and relationship initiation to growth and maintenance of the relationship, and in some cases, dissolution. Although other close relationships such as close friendships, family, and work relationships will also be addressed and integrated into the course, they will be of secondary importance. Class meetings will consist mainly of facilitated discussions and student-led presentations on topics such as the biological bases of attraction and love, commitment and interdependence, relationship cognition, attachment, communication, sexuality, relational interaction patterns, relationship satisfaction, and the social context of relationships (e.g., the influence of others) conflict, relationship dissolution, and relationship maintenance.

CO1: Understand the major concepts and models of interpersonal relationships.

CO2: Evaluate the different types of relationships and their impact on one's life.

CO3: Use strategies to enhance everyday life challenges and sustain effective relationships

 

 

 

Learning Outcome

CO1: Understand the major concepts and models of interpersonal relationships

CO2: Evaluate the different types of relationships and their impact on one's life.

CO3: Use strategies to enhance everyday life challenges and sustain effective relationships

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

STA121-2N - STATISTICAL METHODS (2023 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 designed to teach the basic concepts of random variables, generation functions and an introduction to inferential statistics. It also gives a brief idea about standard probability distributions, sampling and how they are applied in real time situations.

Course Objective: Develop an understanding of random variables, probability distributions, and two dimensional random variables, as well as sampling distributions, inferential statistics.

Learning Outcome

CO1: Demonstrate the random variables and its functions.

CO2: Compute the expectations for random variable functions and generating functions.

CO3: Demonstrate various discrete and continuous distributions and their usage.

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