Department of SCIENCES NCR

Syllabus for
BSc (Data Science and Artificial Intelligence/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
BBA141C GROUP AND TEAM EFFECTIVENESS Multidisciplinary Courses 3 3 50
BBA141D TALENT MANAGEMENT Multidisciplinary Courses 3 3 50
COM144 FINANCIAL LITERACY Multidisciplinary Courses 3 03 100
COM146 INTRODUCTION TO EXCEL FOR MANAGERS Multidisciplinary Courses 3 3 100
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
ENG181-1 ENGLISH Ability Enhancement Compulsory Courses 2 2 50
EST144-1N CRIME FICTION: AN INTRODUCTION Multidisciplinary Courses 3 3 50
LAW144 ENVIRONMENTAL LAW Multidisciplinary Courses 3 3 100
MAT121-1N FOUNDATION OF MATHEMATICS Minor Core Courses 4 4 100
MED141-1N MEDIA AND SOCIAL MOVEMENTS Multidisciplinary Courses 3 3 50
POL142-1N GLOBAL POWER AND POLITICS Multidisciplinary Courses 3 3 50
SOC141-1N YOUTH AND POPULAR CULTURE Multidisciplinary Courses 3 3 50
STA122-1N DESCRIPTIVE STATISTICS AND PROBABILITY Major Core Courses-I 4 04 100
2 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BBA142AN ADVERTISING AND SALES PROMOTION TECHNIQUES Multidisciplinary Courses 3 3 50
BDA101-2N DATA STRUCTURES USING PYTHON Major Core Courses-I 3 3 100
BDA102-2N INTRODUCTION TO OPERATING SYSTEMS Major Core Courses-I 3 3 100
BDA111-2N DATA STRUCTURE USING PYTHON LAB Major Core Courses-I 2 2 50
BDA112-2N INTRODUCTION TO OPERATING SYSTEM LAB Major Core Courses-I 2 1 50
BDA161-2N R PROGRAMMING Skill Enhancement Courses 4 3 100
COM149N INVESTMENTS AND TRADING STRATEGIES Multidisciplinary Courses 3 3 100
ECO141 GLOBALISATION Multidisciplinary Courses 3 3 50
ENG181-2 ENGLISH Ability Enhancement Compulsory Courses 3 2 100
ENG242 MYTHOLOGY IN POSTMODERN INDIAN LITERATURE Multidisciplinary Courses 3 3 50
MAT121-2N INTRODUCTION TO DIFFERENTIAL CALCULUS Minor Core Courses 4 4 100
MED142 DIGITAL STORYTELLING TECHNIQUES Multidisciplinary Courses 3 3 50
POL145 AMBEDKAR IN CONTEMPORARY TIMES Multidisciplinary Courses 3 3 50
POL146 UNITED NATIONS AND SUSTAINABLE DEVELOPMENT Multidisciplinary Courses 3 3 50
PSY156N PSYCHOLOGY OF RELATIONSHIPS Multidisciplinary Courses 3 3 50
SOC142 ARTIFICIAL INTELLIGENCE AND SOCIETY Multidisciplinary 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. 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 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:

Bachelor of Science (B.Sc.) in Data Science & Artificial Intelligence integrates two major areas, Data Science and Artificial Intelligence, in a collaborative manner. It is a 3-year course designed to prepare graduates who can conduct dataNriven investigations using statistical techniques and utilising Artificial Intelligence on different algorithmic techniques. This course will empower the graduates to develop an inNepth knowledge focusing on data science and the techniques for analysing the quantitative and qualitative data and developing a cutting-edge solution. Students will be able to apply the concepts for identifying the patterns and trends in the data from various sectors such as banking, production, manufacturing, finance, retails, healthcare etc.

The comprehensive curriculum is a blend of core and advanced specialist subjects. The emphasis of the curriculum is based on the principle that the subjects are more and more specialised as you go ahead through the program. The course structure starts with general courses comprising the basics of Mathematics, Statistics, Computer programming & Databases. It then gradually specialises into Artificial Intelligence and Data Science domain, which shall include Machine learning, Deep Learning, Database, Algorithms etc. exposing students to unlock the power of automation, Artificial Intelligence and Analytics. Upon successful completion of the course, the graduates shall be able to understand and apply the Data Science and AI concepts for solving real-world problems. This programme is extended to the fourth year as a B.Sc.(Hons) degree in Data Science and Artificial Intelligence, 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: Demonstrate the problem solving skills in Data Science and Artificial Intelligence.

PO3: Apply theoretical concepts to design and develop applications of industry standards

PO4: Address the challenging requirements in Data Science and AI domain.

PO5: Understand professional, ethical and social responsibilities.

PO6: Enhance research culture and uphold scientific integrity and objectivity.

PO7: Engage in continuous reflective learning in the context of technological and scientific advancements.

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

BBA141C - GROUP AND TEAM EFFECTIVENESS (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The success of organizations are predominantly determined by the effectiveness of it people resources. To succeed in this global competition, it is imperative for the organizations to build hig performing teams. The core of building high performing teams is to understand team dynamics and build collaboration within teams, between teams and work as a team of teams. The course will enable the students to understand the nuances of team dynamics, experience the power of synergy working as a team and collaborate effectively for the benefit of personal, organizational and societal growth.

The course aims: 

        To facilitate better understanding of group and phases of group development

        To provide a deeper understanding of team dynamics and qualities of being a good team player

        Resolve team conflicts and build synergy

        Build trust, offer constructive feedback, coach and mentor others

To inculcate the spirit of working as a team

Learning Outcome

CO1: Define the concept of groups and stages of group development

CO2: Understand the nuances of working as a team and qualities of a good team player

CO3: Build teams, achieve synergy and resolve team conflicts.

CO4: Analyze and offer constructive feedback, coaching and mentoring.

CO5: Choose to collaborate effectively and work as a team

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

BBA141D - TALENT MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Human Resource is considered as a valuable resource in every organization. The world class companies compete among themselves to attract the best talent across the globe.  They view talent as competitive differentiator and one where the acquisition, engagement, development and retention of talent is considered as a strategic priority of business.  This course exposes the students to methods and practices to acquire, engage and develop talent, focus on development of strategic leaders within an organization and also deals with how talent and knowledge can be managed effectively for the development of the organization

Learning Outcome

CO 1: 1. Demonstrate an understanding of key concepts, principles and models related to talent and knowledge management

CO 2: 2. Evaluate the importance of talent management in developing organizations

CO 3: 3. Learn to apply the theories and concepts studied in the classroom to practical situations

CO 4: 4. Analyse the various talent and knowledge management practices and their value to organizations

CO 5: 5. Solve the issues pertaining to talent and knowledge management

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

COM146 - INTRODUCTION TO EXCEL FOR MANAGERS (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 provides the knowledge base for understanding the workings of Excel. The primary objective of the course is to familiarize the students with the basics of Microsoft excel. The course introduces the students to financial analysis. Further, the course also deals with the practical application of Microsoft Excel in day-to-day business activities. As a prerequisite, the students should have basic knowledge of computers and MS Office.

Learning Outcome

CO1: To provide students with the fundamental knowledge of the use of computers in business.

CO2: To provide exposure to the students on MS Office Excel.

CO3: To apply MS excel functions in business.

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

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

EST144-1N - CRIME FICTION: AN INTRODUCTION (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

This is an introductory course to understanding the emergence and development of crime fiction as a literary genre. Once considered as popular literature insignificant to the canon, crime fiction exists as a genre that is relevant to the current times, especially to understand the society in which we live in today. This course will engage discussions on the concepts of crime and justice, and enable students to identify how crime impacts individuals and communities. Certain discourses will include socio-cultural understanding of crime and punishment, role of detectives and police officers and their interactions with civilians, and how gender, race, class, religion play a role in these narratives. Through this course, students will critically analyse textual works in the form of short stories, chapters, essays, novels, along with visual sources such as documentaries, films, television and web series and animated works.

 

 

 

 

Course Objectives

 

The objective of this course is to:

 

      Sensitise students to the real-world scenario of conflict and violence and its consequence thereof.

 

      Introduce crime fiction and its sub-genres

 

      Study the impact of crime on literature and society.

 

      Explore different forms of crime fiction from across the globe.

 

      Identify works of crime fiction that are yet unexplored such as regional works with linguistic variabilities.

 

Learning Outcome

CO1: Define crime fiction and identify its sub genres

CO2: Understand the evolution of crime fiction from mystery and puzzle stories

CO3: Contextually place the given work to comprehend the society, history and culture.

CO4: Engage with the emerging regional, national and global crime literature in the textual and digital space.

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

LAW144 - ENVIRONMENTAL LAW (2023 Batch)

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

Course Objectives/Course Description

 

The present decline in environmental quality calls for a stricter enforcement of laws relating to protection of environment. The objective of this course is to give an insight into various legislations that has been enacted in our country for protection of environment and also to create awareness among the citizens of the country about the duties cast on them under various legislations in relation to protection of environment.

 

Course Objectives:

  • To impart an in-depth knowledge of environmental legislations to students from diverse backgrounds.
  • To interpret, analyse and make a critique of the legislations and Case laws relating to environment
  • To provide a brief understanding of various developments that has taken place at international level to check various environmental harms.

Learning Outcome

CO1: learn about environmental law

C02: make students environmentally conscious

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

MAT121-1N - FOUNDATION OF MATHEMATICS (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 aims at introducing the students into the world of Mathematics. It includes topics like Set Theory, Functions, Relations, matrices and lattices. They gain a historical perspective of the development of modern mathematics and application of the same in the field of Computer Science.

This course will help the learner to be proficient in the topics set theory, functions and relations. It will enhance the problems solving skills in set theory, functions, relations, sequences, series and matrices.

Learning Outcome

CO1: Understand the notion of Sets, mathematical proofs, combinatorics and relations functions. Students will be able to apply them in problem solving.

CO2: Demonstrate the use of mathematical reasoning by justifying and generalizing patterns and relations

C03: understand the methods and problem solving techniques of discrete mathematics.

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

MED141-1N - MEDIA AND SOCIAL MOVEMENTS (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 explores the intricate relationship between media and social movements, examining how media platforms and technologies have shaped the formation, mobilization, and impact of contemporary social movements. Through an interdisciplinary lens, students will analyze the role of media in fostering collective action, amplifying marginalized voices, and challenging power structures. They will critically examine various forms of media, including traditional news outlets, social media platforms, and alternative media, and investigate their influence on activism, protest, and social change. Drawing on case studies from around the world, students will gain insights into the complexities of media representation, framing, and manipulation, as well as strategies employed by social movements to harness media for their causes. By the end of the course, students will develop a nuanced understanding of the dynamic interplay between media and social movements in the contemporary global context.

Learning Outcome

CO1: Understand the theoretical frameworks and key concepts related to media and its role in social movements, including media framing, agenda-setting, and the construction of collective identities.

CO2: Analyze the ways in which traditional media outlets, social media platforms, and alternative media contribute to the formation, mobilization, and impact of social movements.

CO3: Critically evaluate the relationship between media representation and social movements exploring issues of visibility, inclusion, and the amplification of marginalized voices.

CO4: Examine case studies of successful and unsuccessful media strategies employed by social movements, and assess their effectiveness in achieving their goals

CO5: Develop the skills to analyze and interpret media content, including news articles, documentaries, and social media campaigns, to identify biases, manipulation, and alternative narratives surrounding social movements.

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

SOC141-1N - YOUTH AND POPULAR CULTURE (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 is designed to address the changing ideas of the conceptualisation of youth in contemporary times in relation to popular culture. It explores the question of the formation of youth identity in popular culture and the debates challenging the dominant idea of youth identity in popular culture through the lens of gender, caste, class and minorities. The course takes up the case study of social media as the particular site mediating popular culture to explore these questions of youth identity formation as usage of social media by young people is increasing, especially in countries like India which has one of the highest populations of youth in the world. Popular culture and media are intertwined and social media has emerged as a phenomenon of popular culture which shapes youth identity either by mobilising youth in a powerful way in favour of dominant socio-political norms or social movements which challenge the dominant socio-political trends. In recent times, the participation of youth in electoral politics through social media has multiplied phenomenally in India shaping the nature of engagement of youth with popular culture. The conceptualisation of youth as a democratic dividend has implications for defining the relationship between youth and social media in relation to popular culture. Similarly, conceptualisation of youth as a subculture is constitutive of the relationship between youth and media. Thus, the case study of social media will be linking the theoretical conceptualisations with the empirical phenomena.

Learning Outcome

CO1: Students will be able to define theoretical conceptualisation of youth and its changing nature in the contemporary world in relation to popular culture

CO2: Students will be able to demonstrate critical understanding with regard to the dominant identity of youth in popular culture

CO3: Students will be able to evaluate the subculture in Indian society.

CO4: Students will be able to critically understand the role of social media in mobilising youth in favour or against the dominant socio-political norms.

CO5: Students will be able to analyse the popular culture through the lens of caste, gender, class and minority.

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

STA122-1N - DESCRIPTIVE STATISTICS AND PROBABILITY (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:04

Course Objectives/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.

 

This course is designed to introduce the historical development of statistics- presentation of data- descriptive measures and fitting mathematical curves to the data. This course also introduces measurement of the relationship of quantitative and qualitative data and the concept of probability.  This course will enable students to understand and summarize the data, understand and apply the descriptive measures and probability for data analysis, implement theoretical concepts of descriptive measures and probability, study the relationship between variables.

Learning Outcome

CO1: Demonstrate the history of statistics, identify the type of data and present the data in various forms and summarize it using descriptive statistics.

CO2: Understand and apply the concept of correlation, association, regression analysis and infer its results.

CO3: Understand and apply the concept of probability.

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

BBA142AN - ADVERTISING AND SALES PROMOTION TECHNIQUES (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 aims at imparting knowledge on Marketing Management from the perspective of Marketing Communications.Great marketing strategies can be powerful. Every year companies spend approximately $200 billion promoting their products and services – and that’s just in the United States alone! Explore how marketing campaigns, ads, and commercials are brought to life which will lead the exploration of various aspects of Advertising and sales promotion techniques which includes its objectives, classification, creative aspect and functions. This course introduces students to the concepts and processes of marketing and takes them deeper into the world of marketing.

Course Objectives: This course intends

        Describe the history of the advertising industry and its relation to today’s marketplace.
        List the roles and responsibilities of various advertising, marketing, and promotions professionals.
       Develop students’ understanding and skill in development of communication strategy of a firm, particularly with advertising and sales promotions.

 

Learning Outcome

CO1: Understand fundamental concepts of Advertisement and Sales promotion.

CO2: Understand importance of Integrated Marketing Communications strategies.

CO3: Explain about creative Process in Advertisement and Sales Promotion

CO4: Critically examine and evaluate existing marketing strategies and tactics.

CO5: Learn to use sales promotions to push sales and attract buyers.

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

BDA101-2N - DATA STRUCTURES USING PYTHON (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 aims at introducing the students into the world of Mathematics. It includes the topic like

Set Theory, Functions, Relations, matrices and lattices. They gain a historical perspective of the

development of modern mathematics and application of the same in the field of Computer Science.

 

Course Objectives

This course will help the learner to be proficient in the topics set theory, functions and relations. It

will enhance the problems solving skills in set theory, functions, relations, sequences, series and

matrices.

Learning Outcome

CO1: Understand the notion of Sets, mathematical proofs, combinatorics and relations functions. Students will be able to apply them in problem solving.

CO2: Demonstrate the use of mathematical reasoning by justifying and generalizing patterns and relations

CO3: understand the methods and problem solving techniques of discrete mathematics.

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

BDA102-2N - INTRODUCTION TO OPERATING SYSTEMS (2023 Batch)

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

Course Objectives/Course Description

 

Course Objectives:

This course is an introduction to the concepts behind modern computer operating systems. Topics will include what an operating system does (and doesn't) do- system calls and interfaces- processes- resource scheduling and management (of the CPU- memory- etc.)- Virtual memory. To acquire the fundamental knowledge of the operating system architecture and its components.

Learning Outcome

CO1: Understand the basic working process of an operating system.

CO2: Understand the importance of process and scheduling.

CO3: Understand the issues in synchronization and memory management.

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

BDA111-2N - DATA STRUCTURE USING PYTHON LAB (2023 Batch)

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

Course Objectives/Course Description

 

Course Objectives:

This course will introduce the concepts of linear and non linear data structures which includes lists, stacks, and queues. The objective is to apply different data structures in various sorting and searching algorithms .

Learning Outcome

CO1: Design and develop algorithms using relevant data structure operations.

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

BDA112-2N - INTRODUCTION TO OPERATING SYSTEM LAB (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

Course Objectives:

This objective of this course to acquire the fundamental knowledge of the operating system architecture and its components. The purpose is to study and implement various commands in LINUX and basic operations of a process.

Learning Outcome

CO1: Understand basic LINUX commands.

CO2: Implement basic operations of processes.

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

BDA161-2N - R PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description

The course covers the basics of R for statistical computation, exploratory analysis, and modelling.

Course Objectives

1. To provide an introduction to R programming language and environment.

2. To enable students to understand and develop programs in the R environment.

Learning Outcome

CO1: Perform data handling in R.

CO2: Perform exploratory data analysis using R.

CO3: Perform statistical modelling using R.

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

ECO141 - GLOBALISATION (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Liberalisation policies being pursued by most national economies in the world today, including India creates the need to acquire knowledge and comprehension of Globalisation as ideology along with its practical dynamics.

1.     To help students to develop the conceptual foundations.

2.     To familiarise the students with the basics of various dimensions of the globalisation and its impact.

3.    Understand the impact and consequences of the neo-liberal policies pursued across the globe.

Learning Outcome

CO1: Conceptual clarity on historical evolution of the process of globalisation

CO2: understanding the role and impact of the globalisation in their life

CO3: Understanding various facets of globalisation and its impact

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

ENG242 - MYTHOLOGY IN POSTMODERN INDIAN LITERATURE (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

Indian mythologies have fascinated and captured the imagination of the mankind in general and the Indians in particular since time immemorial.In the recent past, there have emerged a generation of writers, who have begun refurnishing and repackaging the same age-old stories and the same age-old characters in their own ingenious way and have achieved remarkable success to capture and retain the imagination of the present, increasingly rational and tech-savvy, generation. The popularity and commercial success of their works is unprecedented in the Indian publishing history of fiction in English. This course will explore this vast corpus of retelling of mythical tales that have been able to create and propagate a sort of popular culture by adding a new dimension to the mythologies or, as some people argue, puranas. The objective of this course is to examine how Indian English writers in the 21st century have incorporated mythological elements and themes into their literary works. Through close reading and analysis, students will explore how authors have reimagined and recontextualized mythological narratives, characters, and symbols to address contemporary social, political, and cultural issues.

Learning Outcome

CO1: Develop an understanding of the rich and diverse mythological traditions of India

CO2: Analyze the contemporary reinterpretations of mythology in Indian English literature

CO3: Enhance literary appreciation and cross-cultural understanding

CO4: Critically evaluate the role of mythology in shaping contemporary Indian literature

CO5: Develop critical thinking and interpretation skills through textual analysis

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

MAT121-2N - INTRODUCTION TO DIFFERENTIAL CALCULUS (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 aims at enabling the students to know various concepts and principles of differential

calculus and its applications. Sound knowledge of calculus is essential for the students of

mathematics for the better perceptions of the subject and its development.

 

Course Objectives: This course will help the learner to

1. Gain familiarity with the concepts of limit, continuity and differentiability.

2. Understand the relationship between the concepts of differentiability and continuity.

3. Analyse and interpret the different versions of mean value theorems.

4. Learn successive differentiation and nth derivative of product of two functions.

5. Find derivative of functions of more than one variable.

Learning Outcome

CO1: Compute limits, derivatives and examine the continuity, differentiability of a function at a point.

CO2: Understand the properties of continuous functions and prove that differentiability implies continuity.

CO3: Prove Mean value theorems and analyse its geometric interpretation.

C04: Compute derivatives of any order and apply Leibniz? theorem to find nth derivative of product of two functions.

CO5: Master the fundamental concepts of partial differentiation and apply Euler?s theorem for homogeneous functions.

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

MED142 - DIGITAL STORYTELLING TECHNIQUES (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 hands-on course introduces students to the fundamentals of digital media production, providing them with the skills and knowledge needed to create compelling content in various digital formats. Through practical exercises and projects, students will learn the essentials of pre-production, production, and post-production processes in the digital media landscape. They will explore techniques for capturing and editing audio and video, designing graphics, and creating engaging multimedia content. The course will also examine the influence of digital media on society, including its impact on culture, communication, and storytelling. By the end of the course, students will be proficient in producing professional-quality digital media projects and will have a critical understanding of the broader implications of digital media production.

 

Course Objectives:
1. Design impactful stories using effective structures, engaging visuals, and multimedia elements, tailored to specific platforms and audiences.
2. Get hands-on experience with audio/video recording and editing software, graphic design principles, and popular digital media platforms to produce effective storytelling projects.
3. Evaluate digital storytelling projects, identify effective techniques, and analyze the broader impact of digital media on communication and society.
4. Utilize various storytelling methods, collaborate effectively in teams, and communicate creative vision through presentations and project critiques.
5. Apply digital media skills to various platforms and emerging technologies, adapting your approach to diverse audiences and storytelling goals.

Learning Outcome

1: Provide students with a comprehensive understanding of industry-standard digital media production tools, software, and techniques to create high-quality digital media projects.

2: Understand specific requirements and considerations for producing media content across different platforms, including web, mobile, social media, and emerging technologies.

3: Foster students' creativity and artistic abilities, so that they will be competent to conceptualize and execute visually compelling and engaging digital media content through various assignments and projects.

4: Develop critical thinking skills to analyse and evaluate digital storytelling projects and assess the effectiveness of storytelling techniques and narrative structures.

5: Develop students' collaborative and communication skills for digital media production and enable them to effectively communicate their creative choices and project outcomes to a wider audience.

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

POL145 - AMBEDKAR IN CONTEMPORARY TIMES (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:

Dr B R Ambedkar is one of the great intellectuals who has contributed to nation-building as an anti-caste leader, ardent philosopher of social justice, political economist, and principal architect of the Indian constitution. An organic intellectual, Dr Ambedkar developed his political philosophy by critically examining his personal experiences and encompassing them with a rigorous analysis of India’s social structure and history. This course will facilitate students to broaden their understanding of the social, economic and political thoughts of Dr Ambedkar. Further, this course will engage with the critical ideas of ‘Liberty, Equality and Fraternity’ to enable young minds to examine the socio-political realities in the Indian context.

 

Course Objectives:

To engage with the intellectual legacy of Dr B R Ambedkar.

To foster a critical approach to examine the social, political, and economic inequalities with Ambedkar’s political philosophy.

Learning Outcome

CO 1: To be familiar with the life history and contribution of Dr B R Ambedkar to further examine the ideas of social justice and fundamental rights to develop a critical view of Indian social, political and economic inequalities.

CO 2: To understand and engage with everyday socio-political realities and questions related to Recognition, Redistribution and Representation, Social Exclusion, Discrimination, etc.

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

SOC142 - ARTIFICIAL INTELLIGENCE AND SOCIETY (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 is designed to help students understand the relationship between artificial intelligence and society and what are the various social concerns regarding this relationship. The course will introduce students to the historical development of artificial intelligence and what are various social, economic and ethical concerns raised by the increasing use of artificial intelligence. Different sociological explanations of the relationship between artificial intelligence and society will be explored in the course.

Learning Outcome

CO1: Explain the historical development of artificial intelligence

CO2: Sociological explanations of the relationship between artificial intelligence and society

CO3: Explain the impact of artificial intelligence on social relations

CO4: Explain the impact of artificial intelligence on the workplace and labour

CO5: Explain the ethical considerations with regard to the matters of privacy and surveillance

CO6: Navigate the regulatory and policy landscape

CO7: Anticipate future trends

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