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. 

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.

BSc Data Science and Artificial Intelligence (Honours): 

Bachelor of Science (BSc) in Data Science & Artificial Intelligence (Honours) 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 data-driven investigations using statistical techniques and utilising Artificial Intelligence on different algorithmic techniques. This course will empower the graduates to develop an in-depth 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 get 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 specialised in 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 course the graduates shall be able to understand and apply the Data Science and AI concepts for solving real-world problems.  

CIA : 50%

ESE : 50%

Today many people are still far from being able to meet their basic needs, especially in developing countries. SD not only addresses the question of inter-generational justice but also this intra-generational issue: How to improve the life of the poor without overburdening the ecosystems? This is a challenge for individual lifestyles (especially in rich nations), for companies and for government policy. The lecture provides a basic understanding of these challenges, introduces strategies and instruments for sustainable development.

·     To create a sense of ownership of issues related to CSR, Environment and sustainability of businesses.

·     Understand the basic concept of Sustainable Development (SD), the environmental, social and economic dimensions.

·     To teach how to critically analyze, evaluate and judge competing perspectives on the challenge of creating a sustainable future.

·     To understand the Sustainable development challenge for companies, their responsibility and their potentials for action.

Meaning and Scope, Corporate Social Responsibility, Sustainability, Sustainability Terminologies and Meanings, why is Sustainability an Imperative, Sustainability Case Studies, Triple Bottom Line (TBL)

Reasons to adopt sustainable strategy by firms, tools used by the firm to implement their sustainable development strategies, evaluation of firm’s commitment to sustainable strategies by the stakeholders

Introduction, Global management systems exist to guide firms in establishing and implementing a strategy, how do these various approaches, including certification, encourage sustainable business practices.

Establishing priorities for sustainable future, Role of women in sustainability, Challenge of creating a green economy, Sustainability crisis in 21^st century, failures of global capitalism, transforming global capitalism, creating a restorative economy

Global Reporting Initiative Guidelines, National Voluntary Guidelines on Social, Environmental and Economic Responsibilities of, Business, International Standards, Sustainability Indices, Principles of Responsible Investment, Challenges in Mainstreaming Sustainability Reporting, Sustainability Reporting Case Studies

United Nations Conference on Human Environment, United Nations Environment Programme Brundtland Commission United Nations Conference on Environment and Development Agenda 21, Rio Declaration on Environment and Development, Statement of Forest Principles United Nations Framework Convention on climate change, Convention on Biological Diversity, Kyoto Protocol, Bali Roadmap, United Nations Conference on Sustainable Development, Rio+20, Millennium Development Goals to Sustainable Development Goals.

2.  Concepts of Environmental Management for Sustainable Development.

3.  Baxi C. V &Rupamanjari Sinha Ray, (2012). Corporate Social Responsibility: A Study of CSR Practices in Indian Industry, Vikas Publishing House.

4.   Corporate Goverance – Badi N. V, Vrinda Publications, 2012.

5.   Fernando A. C, (2011). Corporate Governance: principles, policies and practices, Pearson.

6.   Ghosh B. N, (2012). Business Ethics and Corporate Governance , Tata McGraw-Hill.

7. Keshoo Prasad, Corporate Governance -, PHI.

8. Lawrence and Weber, (2010). Business and Society, Tata McGraw-Hill.

9. Prakash Pillappa, (2012). Civic Sense, Excel Books.

8.  Lawrence and Weber, (2010). Business and Society, Tata McGraw-Hill.

2.       Prakash Pillappa, (2012). Civic Sense, Excel Books.

CIA II -  Written assignment, Quiz 30 Marks

CIA III - Written assignment, Quiz 35 marks 

Attendance -5 Marks

To examine health in its truest sense, one must explore beyond the limits of medicine to engage a much wider set of questions embracing social, cultural, political, economic, moral and spiritual aspects of human experience. The aim of this course is for students to gain greater insight into the multi-dimensional aspects of health and to develop a more holistic and humanistic appreciation of wellbeing in both a personal and societal context. The course focuses on the knowledge and skills students require to lead a healthy, productive and balanced life

Health of individuals and communities – The significance of determinants of health and how these raise or lower the health of individuals and communities - Health promotion to improve health - Personal and popular attitudes and beliefs and their impact on decision making - self-management - interpersonal and key consumer health skills - Factors influencing health, and actions and strategies to protect and promote health, through investigation and inquiry processes.

Philosophy of food, Values – Three different types of values, Meat – Is it wrong to eat animals? Hunger – Do we have a duty to help starving people? - Drugs – Why is it wrong to take drugs? - GM food – How should food technology be regulated? - Capitalism – Food, globalization, and equality - Art – Can food be art? What is art? - Taste – Is taste entirely subjective? - Science – Can science explain conscious taste experiences? -Eating – Eat to live, or live to eat.

Balanced diet & Nutrition, Macro and micro nutrients – Nutritive and nonnutritive components of diet – Eating for weight control – healthy weight – The pitfalls of dieting – food intolerance and food myths – Food supplements for adolescents.

Concept of physical education – Meaning – definition – aims – objectives of physical education and fitness – Need & importance of fitness – Types of fitness – Health related physical fitness – performance related physical fitness – physical activities and health benefits - Activities for developing physical fitness

What is sleep? – The phylogeny of sleep – Developmental course of sleep – Dreams- Functions of sleep – Daytime sleepiness and alertness – Sleep disorders

Principles of accident prevention – health and safety in daily life – health and safety at work – first aid and emergency care – common injuries and their management

Meaning of life - Meaning of death- Indian Rituals, symbols, and myths - Spirituality, altruism and moral justice - Resources to deal with stress, temptations, disappointments and failures, social oppression, the loss of possessions and of loved ones, and with one’s own death

CIA 2-30 marks

CIA 3-30 marks

Attendance-5 marks

Class participation-5 marks

Meaning of life - Meaning of death- Indian Rituals, symbols, and myths - Spirituality, altruism and moral justice - Resources to deal with stress, temptations, disappointments and failures, social oppression, the loss of possessions and of loved ones, and with one’s own death. 

The Mahabharata of the great Maharishi Veda Vyasa is a treasure trove of knowledge, principles and paradigms. It is written that what is not in the Mahabharata will not be found elsewhere. Written nearly thousands of years ago, the Mahabharata is as yet a source of knowledge, especially modern management principles.In essence it highlights the victory of Dharma in times of Adharma.This subject is a comprehensive learning on management lessons which can be inferred from the great epic. It gives a clear understanding and comparison of management Principles, practices and the various functions of management with the epic. The syllabus is structured to provide basic conceptual knowledge on the principles of management. It also deals with behavioral issues in the individual processes, group and interpersonal processes.

Course Objectives:

• ·         Discuss the epic by summarizing the various parvas/units in class in accordance with the management concepts
• ·         Review and make a critical estimate of the epic with a focus on morals, ethics, legal and management concepts 
•            To develop competencies and knowledge of students to become effective professionals

The older generations-The Pandava and Kaurava princes- Lakshagraha (the house of lac) Establishment of the kingdom-Administration and Management principles

Marriage to Draupadi- An event study approach.

Indraprastha-A new beginning- Pressure for change – Change process, Types of change, Factors influencing change, Resistance to change

The dice game- Cooperative strategies & Reasons for strategic alliances-

Exile and return- Risks and costs of strategic alliances

The battle at Kurukshetra - Strategic Planning and Management- levels at which strategy operates- Event approaches to strategic decision making,

The end of the Pandavas- Succession Planning,Authority and Responsibility

The reunion Organizing- Choosing the organizational structure 

Pratap Chandra Roy ,The complete Mahabharata translated into English prose directly from the original sanskrit text.(1^st Edition) oriental publishing co.

ESE - 30

This course focuses on preparing students to communicate verbally and non-verbally in an effective manner. The aim is to introduce students to communicate in a professional environment. It is instrumental in learners comprehending the role of technical English in communication. 

Objectives:

1. Introduce learners to language skills in their area of specialization.

2. Enable them to enhance career prospects and employability through English language skills

3. Help students gain an understanding of language at the workplace

4. To develop verbal and non-verbal skills in English communication

This unit undertakes to revise the foundation of language; the grammar section of language learning. Students will be reviewed the grammar aspects mentioned through task-based activities

• Concept of time in language – reflective learning will be used to help students detect their grammatical errors in tenses and rectify.
• Degrees of comparison – using technical literature students can be engaged in apprehending degrees of comparison. 
• Direct and reported speech – to enable learners to carry on a comprehensible conversation either spoken or written, in a business context.
• Subject-verb agreement – through worksheets and task-based learning students will be familiarized to construct error-free sentences

Learners will be acquainted with the basics of English language learning. They will be taught to identifying technical vocabulary from the general. Technical magazines prescribed by the institution that are subject-specific can be used as teaching tools.

• Introduction to the technical lexicon – help students identify jargon and technical terminologies. Assist them to comprehend the significance of implementation with moderation through their subject literature.
• Internet lexis and contextualization – provide meanings accurately to ensure the right exercise of terms in a professional scenario through hands-on experience.
• Circumstantial usage of diction – aid the comprehension of word usage as verbs and nouns based on the requirement. Differentiating the meanings of synonyms and their orientation in a text.
•  Integrating technical vocabulary in describing process and procedure – through prescribed texts students can be made to enhance their language by right integration of diction.
• Mind mapping of textual diction and allied words – diagrammatically mapping of words based on their meaning, context, and usage will re-emphasize the words in the minds of the learners.

Having gained familiarity with technical and subject-specific vocabulary, students will be introduced to the types of reading. The basic receptive skill will help students prioritise and eliminate content.

• Reading strategies – acquaint the learners with the functions and benefits of reading strategy in the academic and professional set-up.
• Reading: skimming, scanning – introduce learners to the types of reading. The integral aspects of each method will be familiarized to the students. They can be given practice sessions through subject material provided.
• Intensive and extensive reading – benefits and features of the two types of reading can be elaborated. To emphasise to the learner the difference, practice sessions with subject material can be carried out.
• Summarising – consolidation of key ideas can be carried out in the spoken and written format. Technical literature can be provided for the purpose. 

The ancillaries of speaking skill are in focus here. Prior to delving into the productive skill, the nitty-gritty that enhances its effectiveness is made familiar to the learner. Classroom activities and vicarious learning through case studies and video clippings can be screened.

• Competence in non-verbal communication- create an awareness of the role of non-verbal communication in a professional set-up.
• Functions of non-verbal communication – the various utilities of nonverbal communication can be elaborated to students with case studies.
• Benefits of non-verbal communication – elucidate the advantages of non-verbal communication with reference to cultural distinctions.
• Proxemics, Chronemics, Kinesics, Haptics, Gestures, Paralanguage - vicarious learning of these aspects of non-verbal communication can be carried out through video clippings of suitable material and print media

The productive skills are finessed through the identification and refining of the elements mentioned in this unit. They contribute to the holistic presentation. Task-based activities must be used to practise. Business Communication texts and worksheets will provide ample support.

Nuances of communication – communication in the workplace requires knowing the dos and don’ts of professional communication. An introduction to listening, speaking, reading and writing with reference to professional communication can be provided.

• Opening techniques
• Speech markers
• Fillers
• Turn-taking
• Backchannelling
• Dealing with interruptions

Every element mentioned can be elaborated. Ample examples can be provided through audiovisual media, it can be provided to them through demonstrations and verbal reinforcement language checklists can be provided to aid students understand the implementation of the elements. A follow up through mock sessions must be carried out in groups

Having dealt with speaking skill in the previous unit, the other productive skill; writing is taken into consideration here. The various forms of writing in an official context will be taught in form and content.

• Report writing – a corporate requirement is the ability to report on meetings and conferences. The format and requirements of report writing can be taught to the students through samples and later they can be made to draft reports of their own and peer evaluated
• Note-taking – corporate atmosphere calls for not taking at every step. Students need to be taught the framework of note-taking. They can be given samples as references. Later they can be made to listen to technical audio clips and provide the note-taking carried out at an individual level.
• Minutes – corporate life calls for being in attendance of numerous meetings. Taking down the minutes is a skill that is assumed to be possessed by one. The essentials of maintaining the minutes must be made conversant through illustrations. This can be emphasized by classroom activities of the same.

Lastly, students will be introduced to typical work scenarios through hands-on sessions.

• Small talk – the purpose and role of small talk must be taught to the students. They can be screened video clippings of the same. Mock sessions can be performed in the class. The key phrases and language used can be imparted through the provision of language worksheets and skills checklists.
• Meeting- types of meetings, the hierarchy of most often featuring members, etiquette to be held at the meeting and the duties to be performed can be taught implicitly. Chairing, setting the agenda, controlling the smooth functioning, participating, deliberating and diplomacy must be made clear. The key phrases and language used can be taught through language worksheets and skills checklists.
• Group discussion – group discussions are carried out at every level. Students must be familiarized with the basics of group discussions. Agreeing, disagreeing, and being diplomatic are essentials to be imparted. The soft skills and language essentials most commonly noted can be made comprehensible to the students. Vicarious learning and language charts can be used as learning tools.

Knapp .M. Essentials of Non-Verbal Communication Theory Rea. FL: Harcourt, 1995.

[2] Carter, Ronald and Michael McCarthy. Cambridge Grammar of English. CUP, 2006.

[3] Leech, Geoffrey, Jan Svartvik. A Communicative Grammar of English. Third Edition. New Delhi: Pearson Education, 2009.

End Semester Examination- 50%

The purpose of this course is to understand and use (abstract) discrete structures that are backbones  of computer science. In particular, this class is meant to introduce logic, proofs, sets, relations,  functions and counting, basics of graph theory with an emphasis on applications in computer  science.

Set Theory-Introduction- Combination of sets-Set Identities. Mathematical Induction-inclusion and  exclusion- pigeon-hole principle- permutation- combination- summations. Introduction to  recurrence relations and generating functions.

Relations and Products- Functions as Relations- Relations on a Set-Properties of Relations:  reflexive-irreflexive-symmetric-asymmetric-antisymmetric, transitive- inverse. One-to-One and  onto functions-One to one correspondence-Inverse functions and compositions of functions Graphs of functions-Floor-ceiling-greatest Integer functions.

Propositional Logic, Applications of Propositional Logic, Propositional Equivalences,  Predicates and Quantifiers.

Nested Quantifiers, Rules of Inference, Introduction to Proofs, Proof Methods and  Strategy.

Graphs – introduction – isomorphism – sub graphs-types of graphs-Results related to  graphs – walks- paths - circuits – connectedness – components – Euler graphs –  Hamiltonian paths and circuits.

[2] Floyd- Thomas L: Digital Computer Fundamentals- 11thEdition- Pearson  International- 2015. 

[2] R.P. Grimaldi- Discrete and Combinatorial Mathematics- Addison Wesley, 5th ed., 2004. 

[3] D. S. Chandrasekharaiah- Discrete Mathematical Structures- 6th ed.- India: PRISM   Book Pvt. Ltd.- 2019.  

[4] J. P. Tremblay and R. Manohar- Discrete Mathematical Structures with Application  to  Computer Science- Reprint- India: Tata McGraw Hill Education- 2008.  

[5] Liu and Mohapatra- “Elements of Discrete Mathematics”- McGraw Hill, 4th ed., 2017.

ESE - 50%

This course is designed to introduce the historical development of statistics - presentation of data - descriptive measures and fitting mathematical curves for the data. This course also introduces measurement of the relationship of quantitative and qualitative data and the concept of probability.

This course will help the learner to

     ● To enable the students to understand and present the data.

     ● To enable the students to understand and apply the descriptive measures and probability for data analysis.

     ● Implement theoretical concepts of descriptive measures and probability.

     ● To study the study the relationship between variables

Origin and development of Statistics - Scope - limitation and misuse of statistics. Types of data: primary - secondary - quantitative and qualitative data. Types of Measurements: nominal - ordinal - discrete and continuous data. Presentation of data by tables: construction of frequency distributions for discrete and continuous data - graphical representation of a frequency distribution by histogram and frequency polygon - cumulative frequency distributions (inclusive and exclusive methods).

Measures of location or central tendency: Arithmetic mean - Median - Mode - Geometric mean - Harmonic mean. Partition values: Quartiles- Deciles and percentiles. Measures of dispersion: Mean deviation - Quartile deviation - Standard deviation - Coefficient of variation. Moments: measures of skewness - Kurtosis.

Correlation: Scatter plot - Karl Pearson coefficient of correlation - Spearman's rank correlation coefficient - multiple and partial correlations (for 3 variates only). Regression: Concept of errors - Principles of Least Square - Simple linear regression and its properties.

Random experiment - sample point and sample space - event - algebra of events. Definition of Probability: classical - empirical and axiomatic approaches to probability - properties of probability. Theorems on probability - conditional probability and independent events - Laws of total probability - Baye’s theorem and its applications.

Relation between class frequencies - consistency of data - independence of attributes - criterion of independence - association of attributes: Yule’s coefficient of association - Yule ‘coefficient of colligation.

[2] Mukhopadhyay P - Mathematical Statistics - Books and Allied (P) Ltd- Kolkata, 3rd ed., 2018.

[2] Montgomery D.C and Runger G.C - Applied Statistics and Probability for Engineers - Wiley India - New Delhi-9th ed., 2016.

[3] Agarwal B.L - Basic Statistics - 6th Edition - New Age International Publication - 2015.

[4] Rohatgi V.K and Saleh E - An Introduction to Probability and Statistics - 3 rd edition- John Wiley & Sons Inc.- New Jersey- 2015.

ESE: 50%

This is an introductory course that provides the required knowledge about the digital fundamentals of computers. The course covers a few topics like number systems, logic gates, and flips flops. The course starts with an introduction to number systems and its applications in computers. The discussion about the working of devices like encoders and decoders, multiplexers, and demultiplexers are dealt with.

Number systems-Decimal numbers - Binary numbers-Counting in binary- The weighted structure of binary numbers- Octal numbers- hexadecimal numbers and their mutual conversions -Binary arithmetic-Addition- subtraction- multiplication and division of binary numbers- 1‘s and 2‘s complement- signed numbers- arithmetic operations-additionsubtraction with signed numbers- 9‘s and 10‘s complement- BCD numbers- BCD additionBCD subtraction- Gray code-Binary to Gray code conversion- Gray to Binary conversionWeighted code-8421 code and Non weighted codes : ASCII and EBCDIC.  

Boolean operations and expressions, Laws and rules of boolean algebra, Demorgan‘s Theorem, Boolean expressions, Simplification of a Boolean expression. 

Teaching Hours:8 AND gate, OR gate, NOT gate, NAND gate, NOR gate, X-OR gate, X-NOR gate, The universal property of NAND gate and NOR gate, Realization of basic gates. The boolean expression for logic circuits, Karnaugh map SOP with examples. 

 Basic Adders: Half adder, Full adder, 4-bit Parallel adders, Subtractor: Half subtractor, Full subtractor Implementation using logic gates, Decoders: 4-bit decoder, BCD to decimal decoder, Encoder: Decimal to BCD encoder, Multiplexer: 4 to 1 multiplexer, Demultiplexer: 1 to 4 demultiplexer.  

Flip-flops Latches: SR latch, Clocked flip-flops: SR flip-flop, D flip-flop, JK flip-flop, Positive edge-triggered flip flops, Timing diagrams, Master-slave JK flip-flop.

Self-Learning Introduction to RAM- SRAM- DRAM- ROM- PROM- EPROM- EEPROM.  

[2] Bartee,Thomas C: Digital Computer Fundamentals, 6 Edition,TMH, 2010. 

ESE_50%

The Course enables Students to

• Provide a strong foundation for data science and application areas related to it.
• Understand the underlying core concepts and emerging technologies in data science.
• Learn the process of working with data on large scale.
• Explore the concepts of Data Processing.
• Learn basic concepts of Machine Learning.
• Prepare students for advanced courses in Data Science.

Data to Data Science – Understanding data: Introduction – Type of Data, Data Evolution – Data Sources.

Preparing and gathering data and knowledge - Philosophies of data science - data all around us: the virtual wilderness - Data wrangling: from capture to domestication - Data science in a big data world - Benefits and uses of data science and big data - facets of data.  

Introduction to Big Data: - Evolution of Big Data - What is Big Data – Sources of Big Data. Characteristics of Big Data 6Vs – Big Data-Challenges of Conventional Systems- -– Data Processing Models – Limitation of Conventional Data Processing Approaches – Big Data. Big Data Exploration - The Big data Ecosystem and Data science.

Overview of the data science process - retrieving data - Cleansing, integrating, and transforming data. 

Modelling Process – Training model – Validating model – Predicting new observations –Supervised learning, Unsupervised learning, Semisupervised learning. Exploratory data analysis.  

Distributing data storage and processing with frameworks - Case study: Assessing risk when loaning money - Join the NoSQL movement - Introduction to NoSQL - Case Study. The rise of graph databases - Introducing connected data and graph databases.  

Doing Good Data Science, Data Ownership, The Five Cs, Implementing the Five Cs, Ethics and Security Training, Developing Guiding Principles, Building Ethics into a Data-Driven Culture, Regulation, Building Our Future, Case Study. 

ESE: 50%

This course covers the programming paradigms associated with python. It explores the programming language concepts like Data Types- Loops- Functions; Python Lists- Strings- Tuples-Dictionaries of python with help of built in modules. The objective of this course is to provide comprehensive knowledge of python programming paradigms.

Algorithms- building blocks of algorithms (statements- state- control flow- functions)- notation (pseudo code- flow chart- programming language)- algorithmic problem solving- simple strategies for developing algorithms (iteration- recursion).

Python Introduction- Technical Strength of Python- Introduction to Python Interpreter and program execution- Using Comments- Literals- Constants- Python’s Built-in Data types- Numbers (IntegersFloats- Complex Numbers- Real- Sets)- Strings (Slicing- Indexing- Concatenation- other operations on Strings)- Accepting input from Console- printing statements- Simple ‘Python’ programs.

Assignment statement- expressions- Arithmetic- Relational- Logical- Bitwise operators and their precedence- Conditional statements: if- if-else- if-elif-else; simple programs- Notion of iterative computation and control flow –range function- While Statement- For loop- break statementContinue Statement- Pass statement- else- assert.

Lists: list operations- list slices- list methods- list loop- mutability- aliasing- cloning lists- list parameters-Slicing- Indexing- Concatenation- other operations on Sequence data type; Tuples: tuple assignment- tuple as return value;Dictionaries: operations and methods; advanced list processing – list comprehension; Examples to include finding the maximum- minimum- mean; linear search on list/tuple of numbersand counting the frequency of elements in a list using a dictionary.

Introduction to NumPy – Ndim – Shape – Size – Dtype – Itemsize - Reshape - Introduction to Pandas, series objects, Data frame Objects, Panel Objects , various functions.

Concept of Files- File opening in various modes and closing of a file- Reading from a file- Writing onto a file- File functions-open()- close()- read()- readline()-readlines()-write()- writelines()-tell()-seek()- Command Line arguments.

ESE: 50%

The course is designed to provide a practical exposure to the students in Basic concepts of Excel and different way of representation and exploratory data analysis in excel. 

1. Excel worksheets: add worksheet- rename- save and delete- record worksheet and various operations on worksheet, freezing panes and splitting window.

2. Cell referencing, Linking, and conditional formatting.

3. Apply Text to column, Data validation and checks using excel.

4. Creating Pivot table and Pivot chart.

5. Apply formulas like financial, look up, maths, statistics, engineering etc.

6. Apply filter and advanced filter, sorting. 7. Diagrammatic representation and Graphical representation.

8. Descriptive statistics using statistical functions and Data Analysis Pack (DAP).

9. Exercise on correlation, Correlation matrix, partial and multiple correlation coefficient.

10. Draw a scatter plot and fit trend line for a bivariate data set. 

ESE: 50%

The course is designed to provide a practical exposure to python and its applications.

1. Write a program to demonstrate basic data type in python.
2. Write a program to implement various operators in python.
3. Write a program to implement various conditional statements in python.
4. Write a program to implement various looping statements in python.
5. Write a program to implement various string operations.
6. Write a program to demonstrate list & related functions in python.
7. Write a program to demonstrate tuple & related functions in python.
8. Write a program to demonstrate Dictionary & related functions in python.
9. Write a program to read and write from a file, and copy a file
10. Write a program to implement numpy and pandas packages.
11. Apply scaling mechanism by considering the employee data (based on the given data set).
12. Demonstrate the normalization process and implement the same with customer data of bank.
13. Apply at least 3 sampling techniques to get the best data from the population.
14. Demonstrate the missing value imputations.
15. Demonstrate the usage of outlier detection.
16. Apply various data summarization techniques in student data.
17. Demonstrate the techniques to handle the imbalanced data sets.

ESE: 50%

The primary aim of this course is to introduce students to the concept of institutions and the informal economy in a global context. The discourse examines the informal economy through the lens of institutional economics. The aim is to acquaint students to significant discourses and issues in policy design and intervention.

Course Objectives

This course will:

• introduce students to the institutions and institutional change through major concepts in institutional economics;
• discuss the informal economy through concepts, theory, and measurement;
• examine the linkages of formal and informal economy;
• train students to hone their writing and presentation skills to effectively discuss these complex ideas.

Institutions, Economic Theory and Economic Performance; Informal Constraints; Formal Constraints; The Path of Institutional Change

Contracts and Property Rights: the Concepts of Exchange and Property, Critique of the Utilitarian Calculus; Transaction Costs, Bargaining Power; Markets as Institutions; Firms and Markets

Bureaucratic Form and the Informal Economy; Formal and Informal Enterprises: Concepts, Definition, and Measurement Issues; Linking the Formal and Informal Economy.

CASE STUDIES: The Impact of Regulation on Growth and Informality: Cross-Country Evidence; Blocking Human Potential: How Formal Policies Block the Economy in the Maputo Corridor; Enforcement and Compliance in Lima’s Street Markets: The Origins and Consequences of Policy Incoherence towards Informal Traders

Mid Semester Examination: Group/Individual Assignment (45 Marks)

End Semester Examination: Group/Individual Assignment (50 Marks)

Class Attendance/Participation (5 Marks)

This course is aimed at undergraduate students to introduce to them the prominent debates in the economics of corruption. The course discusses how corruption acts as a constraint on economic growth using the theoretical constructs in Political Economy. It allows students to delve into the causes and consequences of corruption. In particular, the course will examine how corruption affects the emerging economies.

Course Objectives

This course will: consider some of the seminal papers on the economics of corruption acquaint students to significant debates about transparency, competition and privatization and its relevance to corruption analyse corruption in emerging economies through various case studies discuss issues from various perspectives, such as, viewing corruption as erosion of trust and abuse of power train students to hone their writing and presentation skills to effectively discuss complex ideas.

Causes and Consequences of Corruption: What do we know from a cross-section of countries?, Democratic Institutions and Corruption: Incentives and Constraints in Politics, Bargaining for Bribes: the Role of Institutions

The Privatization of Rent-Generating Industries and Corruption; Corruption in Private Sector, Why the private sector is likely to lead the next stage in the global fight against corruption

Corruption and Policy Reform; Anti-Corruption Authorities: An Effective Tool to Curb Corruption? Corruption and Competition: Fair Markets as an Anticorruption Device

·         Burger, E. S., & Holland, M. S. (2006). Why the private sector is likely to lead the next stage in the global fight against corruption. Fordham International Law Journal, 30, 45.

·         Cartier-Bresson, J. (2000). Economics of corruption. Organisation for Economic Cooperation and Development. The OECD Observer, (220), 25.

·         Jain, A. K. (2001). Corruption: A Review. Journal of Economic Surveys, 15(1), 71-121.

·         Jain, A. K. (Ed.). (2012). Economics of Corruption (Vol. 65). Springer Science & Business Media.

·         Meschi, P. X. (2009). Government Corruption and Foreign Stakes in International Joint Ventures in Emerging Economies. Asia Pacific Journal of Management, 26(2), 241-261.

·         Meyer, K. E., Estrin, S., Bhaumik, S. K., & Peng, M. W. (2009). Institutions, Resources, and Entry Strategies in Emerging Economies. Strategic Management Journal, 30(1), 61-80.

·         Nowakowski, K. (2010). Corruption in Private Sector.Economics and Law, 6(1), 345-360.

·         

·         Uhlenbruck, K., Rodriguez, P., Doh, J., & Eden, L. (2006). The Impact of Corruption on Entry Strategy: Evidence from Telecommunication Projects in Emerging Economies. Organization Science, 17(3), 402-414.

Course Description

This course heralds the emergence of a new field of science that endeavours to understand how individuals and societies thrive and

flourish, and how this new knowledge can be applied to foster happiness, health and fulfillment. Taking a dynamic, cross-disciplinary approach, the

course explores the most promising routes to well-being, derived from the latest research in psychology, neuroscience, economics, and the effects of

our natural environment. The course provides an overview of the latest insights and strategies for enhancing our individual well-being, or the well-being of the communities in

which we live and work.

Course Objectives:

1. Understand the evolution and development of health and well-being

2. Develop a holistic approach to living life well.

3. Create optimal programs for individuals and populations.

Well being as a concept, happiness and subjective well-being, Expanding the repertoire of positive emotions: The broaden-and-build theory of positive emotions; Relationship with reality and its role in the well-being of young adults; Increasing happiness in life, Positive mental health in individuals and populations.

Living well at every stage of life: Resilience in childhood, positive youth development, life tasks of adulthood and successful aging; Role of meaningful relationships:infant attachment, adult attachment, love and flourishing relationships; Seeing the future through self efficacy and optimism; Role of Self efficacy in life arenas, learned optimism.

The relevance of subjective well-being to social policies: optimal experience and tailored intervention; The social context of well-being; Does money buy happiness?; A well-being manifesto for a flourishing society.

• Synder,C.R., & Lopez, S.J. (2007). Positive Psychology. New Delhi: Sage Publishing House.

CIA Evaluation pattern

Advertisement psychology is a branch of psychology which studies the pattern of responses by the human system to advertisement stimuli. Advertising is the art of influencing human behaviors to buy certain products. Recently  advertisers are discovering the need to know the facts which psychology can give about what attracts attention, what sticks in memory, what gives a pleasant impression, what persuades and what leads to the act of purchase. The field helps marketers and copyrighters to prepare effective advertisements.

Course Objectives

At the end of the course, students will be able to: 

1.      Understand the historical and scientific origin and development of the field.

2.      Learn the cognitive, affective and behavioural responses to the advertisement stimuli.

       3.      Develop the skills to evaluate effectiveness of advertisements from psychological perspectives.

Emergence of International Advertising;

Advertising in Multicultural Environment;

Ethics in Advertising;

Integrated marketing communication and marketing mix.

Effects: Theory, Research, and Applications. Lawrence Erlbaum Associates. Hillsdale, NJ. London.

Rolloph, M.E. & Miller, G.R. (Eds) (1980).Persuasion: New Directions in Theory and

Research.Sage. N.Y.

Eddie. M. Clark, Timothy.C. Brock,& David W. Stewart. (1994).Attention, Attitude and

Affect in Response to Advertising. Lawrence Erlbaum Associates. Hillsdale, NJ.

Press.

Andrew,A. Mitchell. (1993).Advertising Exposure, Memory and Choice.Lawrence Erlbaum

Associates. Hillsdale, NJ.

The course ‘Introduction to Film Studies’ aims at introducing students to the cinema, important trends and genres in world cinema, along with key concepts in film studies. It aims to make participants familiar with some major international cinematic figures and films. It aids in the basic understanding of the field, its vast history, and its role in society. Students receive the chance to enhance the skills required to study Films with reference to art and society. It develops the students’ critical thinking ability that is required for analyzing, criticizing,  and creating quality films.

Course Objectives:

• Introduces to the theories, methods, and concerns of film and media studies as a discipline, preparing the students for further work in the field. 

• Teaches the specific aspects of film style and narrative form through analysis of scenes from the films screened each week and from a range of outside examples. 

• Equips the students with historical, cultural, and theoretical topics relevant to the films. 

• Teaches the language of cinema.

• Trains the students to critically analyze the content.

• Learns to communicate effectively.

• What is an Art?

• Art as an Entertainment

• Evolution of cinema

•  Impact of theatre and Folk arts

•  Industrial technological, aesthetic, and  cultural development in cinema

•  Establishment of the Film industry and audience

• What is cinema? Why do we watch films?

• Language of Film- cut, focus, frame, fade, close-up

• Genres

• Images, symbols, colours, narration, gestures, and expression

• Role of individuals in shaping a cinema

• Film Production

• Difference between film analysis and criticism

• From play to picture- a transformation of expressions into motions

• Good cinema and bad cinema-criteria of assessment

• Believe the unbelievable- cinemas that brought the audience to believe nonexistent elements

• Books, stories, and the songs-the backbone of a successful screenplay

• Content-the hero of a movie

• Motion picture

• Feature film

• Short film

• Art movie

• Documentary

• Innovation in cinematography

• Sound and Lights- the lifeline of a movie

• VFX, CG, and SFX

• Cinematic techniques

Course Description:

This course is designed to introduce the young students to the emerging field of Digital Humanities and its wide array of scope, research and academic engagements in the field of Arts and Humanities through incorporation of examples and case studies. Digitalisation is a product of the modern mechanised society; it has come to be accepted as an indispensable part of our lives today. Its use in the field of Humanities is a very recent development, with major contributions to documentation, preservation and ushering in a multidimensional interdisciplinary approach to our study, for sources ranging from audio-visual nature to textual work.

Course Objectives:

1.  The students will be acquainted to many existing arguments in the area of Digital Humanities in the last few decades while examining the aid of digital tools in literary and cultural studies.
2. The students will learn to create a sample of their own by replicating any existing digital artifact.
3. The students will be able to identify Digital Humanities as an interdisciplinary field of study through case studies and comparative analysis.

1.1 Digital Humanities: From inception to the present

1.2 Theorists and Major Thinkers

1.3 Digital Tools in Humanities and Audio-Visual Culture

2.1 Preservation: Art and Culture

2.2 Preservation: Literature and Language

2.3 Preservation: Documentation as Knowledge Production

3.1 Textual Adaptation: From Manuscripts to Visual Text

3.2 Transcreation: Folk to Popular Culture

3.3 Machine Learning: Machine Translation, Subtitling, SEO, Text-o-Speech

James Gleick (2011). The Information: A History, A Theory, A Flood. Pantheon.

Matthew Gold (2013). Debates in the Digital Humanities. University of Minnesota Press.

Ramsay, Stephen (2011). Reading Machines: Toward an Algorithmic Criticism. University of Illinois Press.

Susan Schreibman, Ray Siemens, and John Unsworth (eds.) (2004). A Companion to Digital Humanities. Oxford.

EARHART, AMY E. “Can We Trust the University?: Digital Humanities Collaborations with Historically Exploited Cultural Communities.” Bodies of Information: Intersectional Feminism and the Digital Humanities, edited by Elizabeth Losh and Jacqueline Wernimont, University of Minnesota Press, Minneapolis; London, 2018, pp. 369–390. JSTOR, www.jstor.org/stable/10.5749/j.ctv9hj9r9.23. Accessed 8 Aug. 2021.

Huggett, Jeremy. “Core or Periphery? Digital Humanities from an Archaeological Perspective.” Historical Social Research / Historische Sozialforschung, vol. 37, no. 3 (141), 2012, pp. 86–105. JSTOR, www.jstor.org/stable/41636599. Accessed 9 Aug. 2021.

KIRSCHENBAUM, MATTHEW. “What Is Digital Humanities and What’s It Doing in English Departments?” Debates in the Digital Humanities, edited by Matthew K. Gold, NED - New edition ed., University of Minnesota Press, Minneapolis; London, 2012, pp. 3–11. JSTOR, www.jstor.org/stable/10.5749/j.ctttv8hq.4. Accessed 11 Aug. 2021.

Lindquist, Thea, et al. “Advancing Digital Humanities at CU-Boulder through Evidence-Based Service Design.” Laying the Foundation: Digital Humanities in Academic Libraries, edited by John W. White and Heather Gilbert, vol. 7, Purdue University Press, West Lafayette, Indiana, 2016, pp. 127–148. JSTOR, www.jstor.org/stable/j.ctt163t7kq.11. Accessed 9 Aug. 2021.

LOSH, ELIZABETH, et al. “Putting the Human Back into the Digital Humanities: Feminism, Generosity, and Mess.” Debates in the Digital Humanities 2016, edited by Matthew K. Gold and Lauren F. Klein, University of Minnesota Press, Minneapolis; London, 2016, pp. 92–103. JSTOR, www.jstor.org/stable/10.5749/j.ctt1cn6thb.13. Accessed 10 Aug. 2021.

McPherson, Tara. “Introduction: Media Studies and the Digital Humanities.” Cinema Journal, vol. 48, no. 2, 2009, pp. 119–123. JSTOR, www.jstor.org/stable/20484452. Accessed 10 Aug. 2021.

ROBERTSON, STEPHEN. “The Differences between Digital Humanities and Digital History.” Debates in the Digital Humanities 2016, edited by Matthew K. Gold and Lauren F. Klein, University of Minnesota Press, Minneapolis; London, 2016, pp. 289–307. JSTOR, www.jstor.org/stable/10.5749/j.ctt1cn6thb.28. Accessed 10 Aug. 2021.

RUBERG, BONNIE, et al. “Toward a Queer Digital Humanities.” Bodies of Information: Intersectional Feminism and the Digital Humanities, edited by Elizabeth Losh and Jacqueline Wernimont, University of Minnesota Press, Minneapolis; London, 2018, pp. 108–128. JSTOR, www.jstor.org/stable/10.5749/j.ctv9hj9r9.11. Accessed 10 Aug. 2021.

Sharpe, Celeste Tu´ò´ng Vy, and Timothy B. Powell. “Making Digital Humanities Tools More Culturally Specific and More Culturally Sensitive.” Teaching with Digital Humanities: Tools and Methods for Nineteenth-Century American Literature, edited by Jennifer Travis and Jessica DeSpain, University of Illinois Press, Urbana, Chicago; Springfield, 2018, pp. 167–184. JSTOR, www.jstor.org/stable/10.5406/j.ctv8bt13m.16. Accessed 10 Aug. 2021.

Tolbert, Jeffrey A., and Eric D. M. Johnson. “Digital Folkloristics: Text, Ethnography, and Interdisciplinarity.” Western Folklore, vol. 78, no. 4, 2019, pp. 327–356. JSTOR, www.jstor.org/stable/26864167. Accessed 8 Aug. 2021.

Viscomi, Joseph. “Digital Facsimiles: Reading the William Blake Archive.” Computers and the Humanities, vol. 36, no. 1, 2002, pp. 27–48. JSTOR, www.jstor.org/stable/30204695. Accessed 8 Aug. 2021.

WARD, MEGAN, and ADRIAN S. WISNICKI. “The Archive after Theory.” Debates in the Digital Humanities 2019, edited by Matthew K. Gold and Lauren F. Klein, University of Minnesota Press, Minneapolis; London, 2019, pp. 200–206. JSTOR, www.jstor.org/stable/10.5749/j.ctvg251hk.21. Accessed 10 Aug. 2021.

CIA II- Book History: Archival Report        

CIA III- Project

Course Description: Ethics or moral philosophy is a branch of philosophy that involves systematizing, defending, and recommending concepts of right and wrong conduct. While it is easy to argue that what is right and wrong should be the same across all cultures, surprisingly it is not. This course is an attempt to enable students understand that moral principles though expected to be universal, have deep rooted connotations that make them unique in each culture.

Learning Objectives: On completing the course, students will be able to:

·         Appreciate multicultural perspectives of ethics

·         Make informed decisions on issues which involve ethical dilemma    

United nations universal declaration of human rights, articles of the declaration, women’s rights as human rights, political implications, practical approaches, women’s rights as political and civil rights, democracy as a universal value, the Indian experience, democracy and economic development, functions of democracy, universality of values.

Philosophical and social implications of Race, scientific literacy about race, race and social construction, social justice implications, collective responsibility and multiple racial, the over lapping characteristics approach defining a community, two general norms to assess collective responsibility ethnic and cultural identities, the color blind principle, color blind and color conscious policies, the responsibility criterion.

Introduction, kinds of social construction, construction of ides, concepts and objects, Gender and social construction, intrinsic inclinations, explaining gender and sexual diversity, domestic violence against women and autonomy.

Moral and legal status, defining human, moral community, right to life, the problem of coerced abortion in China and the morality of abortion in Japan (case studies)

Active and passive euthanasia, intentional termination of life, risks and objections to the institutionalization of euthanasia, conceptualizing euthanasia in the context of the US, Netherlands and Germany, a critique on such practices.

Prakash Pillappa, (2015). Civic Sense, Excel Books.

Mid Semester exam: Exhibition for 50 marks

CIA 3: Group presentations 20 marks

End Semester exam: Written exam and Movie review for 50 marks

ESE: Section A: 5X5 =25 marks

          Movie review (Group work) =25 marks

Course Description: Leadership and the ability to lead is an important concept within our world of work. Though It has been studied and analysed for centuries there is no doubt that it is a complex subject. This challenge is amplified when we look at multi-cultural environments and global leadership. In recent years there has been an increasing amount of research into the role of cross-cultural leadership. However, the operationalization of global leadership differs widely from culture to culture. In Indonesia describing your past successes is an important part of motivating your team. In Japan this would be seen as bragging and be strictly frowned upon. It is evident that successful global leadership behaviours vary widely. This course is an attempt in helping students understand such diversities and help them cultivate global leadership skills.

 Learning Objectives:  On completing the course, students will be able to:

·       Understand the complications involved in leadership across cultures

·       Appreciate the need to lead people differently in different cultures

·       Inculcate decision making

Culture, systems approach to culture, key cultural terminology, cultural understanding and sensitivity, global transformation.

Introduction, intercultural communication process, models, non verbal communication, guidelines.

Introduction, aspects of organizational learning, management mindsets and learning, individual learning

Current status of women global leaders, cultural stereotypes, balancing work and family, glass ceiling, company initiatives to break glass ceiling, women and overseas assignments

Lessons from CEOs, description of competencies, framework

Sethi & Rajiv, Tips for effective leadership, Beacon books

Marshal & Tom, Understanding leadership, Sovereign World Ltd

Mid Semester exam: Written exam for 50 marks

CIA 3: Presentation/Group discussion 25 marks

End-of Semester exam: Written exam for 50 marks

Course Description: This course examines the relationship between language use, enormous variety of language experiences, belief systems, and behavioral patterns. On the other hand Etiquette helps smooth the path of our daily activities, whether it's meeting others in our daily interactions talking to someone on the phone, offering condolences properly or understanding how to talk to colleagues at a business conference. Being aware of the beliefs attitudes and etiquettes of individuals will help one to become more tolerant from one individual to the next and from one group to the next.

Greeting a person, - the different ways of greeting, saying good bye to another person, Thank You, Excuse me, Introduction to oneself, Yawning, Coughing, Interrupting, Offering help, refusing help, requesting privacy, speaking in a low voice, waiting for help, accepting or declining an invitation, expressing admiration, The key principles of common courtesy, professional manners and the Golden Rule as they are practiced in the workplace environment, Classroom Etiquette and Student Behavior Guidelines, The guidelines for maintaining a civil classroom environment

Introduction to adjusting to a new culture, Theories on second language and culture acquisition, communication, National Standards, Culture acquisition through family and Homestays, Distinguish among the three main forms of communication in the workplace: verbal, nonverbal, and virtual. Proper and improper uses of workplace communication, the potential repercussions of poor listening in the workplace, the proper and improper use of technology in the workplace

Why Etiquette Matters, Identify common cultural differences, taboos, and customs that may be practiced in the workplace, Discuss ways to navigate and honor cultural differences in the workplace, Describe how to express an appropriate awareness of international and other customs. The Common Courtesies of Life, Polite Conversation, Telephone Etiquette, Correspondence, Basic Table Manners, Overnight Guests, Wedding Etiquette, Moments of Sorrow, Appropriate Behavior for Children, Gift Giving Guidelines.

Introduction to Modern Etiquette, The Rules of the Workplace, Meetings and Introductions, Conversation and Listening Skills, Telephone/Cell Phone, Texting, Emailing and Internet Etiquette, Etiquette in Public Places, Employment/Volunteer Etiquette, Dining Etiquette, Social Gathering Etiquette (Guest and Host/Hostess), School Etiquette, Confidence Without Arrogance

Restaurant Etiquette, Cellphone Etiquette, Voice Mail Etiquette, Air Travel Etiquette, Cocktail Party Etiquette, Office Gossip Etiquette, Business Dress Etiquette, Email Etiquette, Social Media Etiquette, Job Interview Etiquette, International Etiquette

CIA 2-30 Marks

CIA 3-30 Marks

Attendance-5 Marks

Class Participation- 5 Marks

ENGlogue is an English language course book for the students of first year of undergraduate courses studying in Christ University. The book that covers both Semesters I and II is built around fourteen contemporary themes, with each unit including two interesting and engaging reading texts. The texts are meant to trigger not just the desired language-learning behaviors but also to engage the students in thinking about various pertinent issues concerning the world around them. Each unit also includes teaching and tasks based on vocabulary, reading, writing and speaking. The overall objective of the book is to provide students with hands-on learning of language skills, equipping them not only for their immediate academic needs but also for their future professional careers.

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

1. The Happy Prince By Oscar Wilde
2. Sonnet 18 by Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors

1. Why We Travel- Pico Iyer
2. What Solo Travel Has Taught Me About the World and Myself - ShivyaNath

Sentence fragments, dangling modifiers, faulty parallelism

1. Thinking Like a Mountain- Aldo Leopold
2. On Cutting a Tree-  Gieve Patel

Note taking

Paragraph writing

1. Violence in the name of God is Violence against God - Rev Dr Tveit
2. Leave this Chanting and Singing and Telling of Beads- Rabindra Nath Tagore

Newspaper report

1. The Story of B24 by Sir Arthur Conan Doyle
2.  Aarushi Murder case

1. My Story- Nicole DeFreece
2. Why You Should Never Aim for Six Packs- Kinnari Jariwala

Essay writing

1. Sir Ranjth Singh- Sourav Ganguly
2. Casey at the Bat- Ernest Lawrence Thayer

Paraphrasing and interpretation skills

Before the Flood

CIA 2=50

CIA 3= 20

ESE= 50 marks online and 50 marks written exam

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.

Definition of the limit of a function (ε-δ) form – Continuity- Uniform Continuity – Types of discontinuities – Properties of continuous functions on a closed interval – Differentiability.

Mean Value Theorems: Rolle’s theorem – Lagrange’s and Cauchy’s First Mean Value Theorems – Taylor’s theorem (Lagrange’s form and Cauchy’s forms of remainder) –Maclaurin’s theorem and expansions - Indeterminate forms. Maxima and Minima.

Successive differentiation – nth derivatives of functions – Leibnitz theorem and its applications – Partial differentiation –First and higher-order derivatives – Differentiation of homogeneous Functions. 

Partial derivatives- Total derivative- Lagrange’s multipliers for two variables- Euler’s theorem – Taylor’s theorem for two variables - Maxima and Minima of functions of two variables.

Tangents and Normal- Curvature- Asymptotes- Singular points- Tracing of curves (Parametric representation of curves and tracing of parametric curves- Polar coordinates and tracing of curves in polar coordinates).  

[2] J. Stewart- Single Variable Essential Calculus: Early Transcendentals- 2nd ed.: Belmont- USA: Brooks/Cole Cengage Learning.- 2013.

[3] M. Spivak- Calculus- 4th ed.- Cambridge University Press- 2008.

[4] T.M. Apostol- Calculus- Vol-II- Wiley India Pvt. Ltd.- 2011.linear

ESE- 50%

This course is designed to teach the basic concepts of random variables and its generation functions. It also gives a brief idea about standard probability distributions and how they are applied in real time situations. The course will enable the students to understand the properties and applications of various probability functions. 

Definition- Discrete and continuous random variables- Probability Mass function and Probability density function- Distribution function and its properties. Two dimension random variables: Discrete and continuous type- Joint Density function- Marginal and conditional Probability Mass function and Probability Density function- independence of variables with illustration.  

Expectation of single and bivariate random variables and its properties. Moments and Cumulantsmoment generating function- cumulant generating function and characteristic function. Uniqueness and inversion theorems (without proof) along with applications- Conditional expectations. 

Discrete distributions: Binomial- Poisson- geometric- negative binomial- Hypergeometric distributions along with their properties- limiting/approximation cases and applications.  

Continuous distributions: Uniform- normal- exponential- Cauchy- beta and gamma distributions along with their properties- limiting/approximation cases and applications. 

Chebyshev’s inequality- Week Law of Large numbers- Strong Law of Large numbers and their applications- Central Limit Theorem for i.i.d variates and its application- De-Moivre Laplace theorem.  

ESE: 50%

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- processesresource scheduling and management (of the CPU- memory- etc.)- Virtual memory. To acquire the fundamental knowledge of the operating system architecture and its components. 

Introduction Categories of Operating Systems- Computer-System Organization- Computer-System Architecture- Operating-System Structure- Operating-System Operations. System Structures Operating-System Services- User Operating-System Interface- System Calls- Types of System Calls- System Programs. Process Management Process Concept- Process Scheduling- Operations on Processes: process creation and termination - zombie and o

 CPU Scheduling- Basic Concepts- Scheduling Criteria- Scheduling Algorithms- Thread SchedulingMultiple-Processor Scheduling - The Critical-Section Problem - Peterson’s Solution - Synchronization Hardware - Semaphores - Classic problems of Synchronization - Multithreading models - threading issues.  

System Model- Deadlock Characterization- Methods for handling Deadlocks -Deadlock Prevention- Deadlock avoidance- Deadlock detection- Recovery from Deadlocks - SwappingContiguous Memory allocation- Paging- Structure of the Page Table- Segmentation

Demand Paging- Copy-on-Write- Page Replacement- page replacement algorithms- Allocation of frames- Thrashing.

File System:   File Concept- Access Methods- Directory and Disk Structure- File System Mounting- File SharingProtection

 File System Structure- File System Implementation- Directory Implementation- allocation Methods- Free-space Management. 

Secondary Storage Structure:  Disk Structure- Disk Attachment- Disk Scheduling- Disk Management and Swap-Space Management. Case study

ESE_50%

This course will introduce the concepts of Abstract data type (ADTs), linear data structures which include lists, stacks, and queues. The course covers various sorting, searching and hashing algorithms and applications of linear data structures. 

Introduction to data structures - Algorithms - Analysing algorithms - Complexity of algorithms-Growth of functions - Asymptotic Notations - Performance measurements - Arrays and Structures: Abstract Data Type- Dynamically Allocated Arrays- Structures- Unions- Polynomial Representation and Additions.

Linear Lists: Abstract Data Types (ADTs) – List ADT – array-based implementation linked list implementation –singly-linked lists- circularly linked lists- doubly-linked lists – applications of lists –Polynomial Manipulation – All operations.(Insertion, Deletion, Merge, Traversal) 

Stack ADT – Operations – Applications – Evaluating arithmetic expressions-Conversion of Infix to postfix expression – Queue ADT – Operations – Circular Queue- Priority Queue – deQueue – applications of queues. 

Searching- Linear Search – Binary Search. Sorting – Bubble sort – Selection sort – Insertion sort – Shell sort – Radix sort. Hashing- Hash Functions – Separate Chaining- Open Addressing – Rehashing – Extendible Hashing. 

Tree ADT – tree traversals – Binary Tree ADT – expression trees – applications of trees binary search tree ADT –Threaded Binary Trees- AVL Trees – B-Tree -B+ Tree – Heap– Applications of heap.  

Definition – Representation of Graph – Types of graph – Breadth-first traversal –Depth-first traversal – Topological Sort – Bi-connectivity – Cut vertex – Euler circuits-Applications of graphs.  

[2] Thomas H. Coreman- Charles E. Leiserson and Ronald L. Rivest- “Introduction to Algorithms”- Printice Hall of India, 2001.  

[2] Horowitz- Sahni- Rajasekaran- Fundamentals of Computer Algorithms-Silicon Pr2nd Edition- November 2012. 

ESE-50%

The course is designed to provide a practical exposure to data structures and its applications.

1. Implement creation, insertion, deletion, update in an array.

2. Implement concatenation of arrays , find the length of the arrays.

3. Implementation of Single Linked List performing the following operations (i)Creation (ii) insertion (iii) deletion (iv) traversal

4. Array implementation of Stacks.

5. Array Implementation of queues.

6. Implementation of Stack using Linked list.

7. Implementation of Queue using Linked list.

8. Implementation of linear search. 9. Implementation of Binary Search.

10. Implementation of Insertion sorting.

11. Implementation of selection sorting.

12. Implementation of merge sort.

13. Implementation of Sorting Algorithm - Separate chaining and Open Addressing Hashing Technique

14. Implementation of Binary Search Tree a. Create a binary search tree. b. Traverse the above binary search tree recursively in pre-order, post-order and in- order c. Count the number of nodes in the binary search tree. LIST

15. Write Python programs to create a tree and implement the following graph traversal algorithms a. Depth first search. b. Breadth first search.c 

[2] Thomas H. Coreman- Charles E. Leiserson and Ronald L. Rivest- “Introduction to Algorithms”- Printice Hall of India, 2001. 

[2] Horowitz- Sahni- Rajasekaran- Fundamentals of Computer Algorithms-Silicon Pr2nd Edition- November 2012. 

ESE-50%

This course is used to provide an introduction to R, statistical language and environment. The course also covers the basics of R for statistical computation, exploratory analysis, and modeling.

Course Objective: To enable students to understand and develop programs in R environment.   

Introduction to R-Installation of R- Getting Started with R interface- Entering Input-Evaluation. R objects- Numbers- Attributes- Creating Vectors-Mixing Objects Explicit Coercion- MatricesLists- Missing Values-Data Frames- Names- Reading and Writing Data into R- Introduction to read.table().  

Managing Data Frames with dplyr package- Data Frames- dplyr package- dplyr grammarInstalling dplyr- functions –select-filter-arrange-rename-mutate-group by. Control StructuresFunctions and Debugging- If-else- for loops-Nested for loops-while loops- repeat Loops-next break.  

Statistical Modelling using R: Diagrammatic and graphical representation. Exploratory data analysis-generating random numbers-fitting of discrete and continuous distributions.  

1. Creating vectors and performing operations on vectors.

2. Creating Matrices and performing operations on matrix.

3. Usage of select-filter-arrange-rename-mutate-group by functions.

4. Programming using control statements.

5. Diagrammatic and graphical representation.

6. Doing exploratory data analysis.

7. Correlation and Regression analysis

8. Generate random numbers from discrete distributions.

9. Generate random numbers from continuous distributions.

10-13. Fitting of discrete probability distribution.

14-15. Fitting of continuous probability distribution.  

ESE: 50%

The course introduces the idea of sustainable development and how it forms an organizing principle for meeting the human development goals. The course discuss how sustainability goals can address the global challenges like inequality, poverty, environmental degradation, climate change, etc. The course will also provide an in-depth view of how sustainability can be linked to social development, economic development and environmental protection; and how an interplay of multiple factors is key for achieving the 2030 agenda for sustainable development goals.

This course is aimed at undergraduate students to introduce to them the idea of sustainable development and social/public policies within that context. The course discusses the challenges of sustainable development, and of designing policies for it, in a global setting. It examines the interplay of politics and economics, with emphasis on modes and instruments of producing public policy. This course will:

• acquaint students to significant discourses and issues in policy design and intervention with regards to sustainable development;

• help them understand how political ideology, interests and power influence economic actions, processes and planning at the macro level;

• through class discussions acquaint students to ideas agenda setting and policy dynamics in the context of sustainable development goals (SDGs);

• train students to hone their writing and presentation skills to effectively discuss complex ideas.

The Historical Roots of the Field; Emergence of Schools of Public Policy; Sustainable Development Goals – the Concept

Policy Analysis as Puzzle Solving; Policy Analysis as Critique; The Tools of Government in the Information Age;

Agenda Setting; Arguing, Bargaining and Getting Agreement; Reframing Problematic Policies; Challenges of achieving the SDGs in the context of: Economic Constraints on Public Policy; Political Feasibility: Interests and Power; and Institutional Constraints on Policy

Bellinger, W. K. (2007). The Economic Analysis of Public Policy. Routledge.

Griggs, D., Stafford-Smith, M., Gaffney, O., Rockström, J., Öhman, M. C., Shyamsundar, P., ... & Noble, I. (2013). Policy: Sustainable Development Goals for People and Planet. Nature, 495(7441), 305-307.

Hausman, D. M., & McPherson, M. S. (2006). Economic Analysis, Moral Philosophy, and Public Policy. Cambridge: Cambridge University Press.

Kates, R. W., Parris, T. M., &Leiserowitz, A. A. (2005). What is Sustainable Development? Goals, Indicators, Values, and Practice. Environment(Washington DC), 47(3), 8-21.

Mehta, A. K. (2002). Chronic Poverty in India: Overview Study. CPRC Working Paper 7.

Retrieved from http://www.chronicpoverty.org/uploads/publication_files/CRPC- IIPA_2.pdf

Sachs, J. D. (2012). From Millennium Development Goals to Sustainable Development Goals. The Lancet, 379(9832), 2206-2211.

The primary aim of this course is to introduce students to the concept  of environmental economics, linkage between nature and economy, natural resource economics and Industrialisation and Its Impact on Environment. In the context of the interlinkage between environment concerns and industry, the course intends to raise awareness about the importance and feasibility of green industry approaches, green industrial policy and green recovery mechanism in the background of post COVID-19 crisis and 2030 Agenda for Sustainable Development.

The goal  is to acquaint students with the scientific approach to the study of man and environment by bringing to life subject matter of the infant science of environmental economics emphasizing its connections with socio economic conditions. Real world examples and applications are used to make subjects interesting to students of this new discipline.

In addition to this, the goal is to provide participants with an understanding of green industrial policy, identify urgent actions and strategies to promote green industry and sustainable industrial development including cleaner and resource efficient production.

.Course Objectives

This course will:

·         Introduce students to the environment, industry and economy linkage;

·           Discuss the economics of resource use;

·         Examine the economics of Environmental Quality;

       Discuss the vision towards green industrialization

       To understand  the key challenges towards acceleration of greening SMEs

      To understand the interlinkages between green industry, trade and global supply chain

Defining the interlinkage between economics and environment , Origins and  scope of environmental economics , The first two laws of thermodynamics,defining environmental policies, strategies and their applications,

Classification of Resource. Renewable and non-renewable Resources. Theories of Natural Resource Use, The Role of Time in Economics: Discounting.

Environmental Kuznets curve, Policy, Need for Green Industrial Development, Industry 4.0, Industrial Parks,  Green jobs and government policies in the context of green industrialization

Definition and understanding of Global Value chain,  Green Industrialization and global trade, Challenges to adopt Green related products and services, Finance and Investment for green industrial development.

Environmental Economics -An Integrated Approach -Philip E Graves

Bhattacharya, R. N. (Ed.). (2001). Environmental Economics: An Indian Perspective. Oxford University Press, USA.

Balsdon, E., & Kolstad, C. D. (1999). Environmental Economics. Oxford University Press.

Squires, G. (2012). Urban and environmental economics: An introduction. Routledge.

Altenburg, T., and Assmann. C. (Eds) (2017), Green Industrial Policy: Concept, Policies, Country Experiences. Geneva, Bonn: UN Environment; German Development Institute.

OECD (2012),  Green Growth and Developing Countries. OECD Consultation Draft.

Building Competitive green industries: The Climate and Clean Technology. Opportunity for Developing countries. World Bank Group. www. infodev.org.

UNIDO (2010), “A Greener Footprint for Industry-Opportunities and Challenges of Sustainable Industrial Development”.

Financing for SMEs in Sustainable Global Value Chains.

https://www.gpfi.org/sites/gpfi/files/documents/GVC%20paper_highres_0.pdf

UNEP (2016), Green Finance for Developing Countries, Needs, Concerns and Innovations.

https://www.cbd.int/financial/gcf/unep-greendeveloping2016.pdf

This course will introduce students to the major theoretical and applied debates as well as major moral puzzles and challenges in the field of global ethics. Ethics is gaining ground as an important humanities intervention in a fast-changing world.  

A course on ethics is often an added advantage for students as it helps them shape a  socially aware perspective of the social reality.  

Drawing on interdisciplinary perspectives and thematic issues in the fields of international politics, business, communications and law, the course will challenge students to reflect on major ethical theories and traditions as well as core problems such as corporate governance, global distributive justice, the ethics of making and sustaining peace, media ethics and legal dimensions of ethics.  

By combining the works of both classic and contemporary philosophers with contemporary applied global issues, students will be able to critically reflect on fundamental normative questions from an interdisciplinary perspective and reflect on the rights, responsibilities and challenges of ‘good global citizenship.

Learning Objectives: On completing the course, students will be able to 

● Open-mindedly consider different viewpoints in moral controversies.  

● Identify the strengths and weaknesses of different philosophical and popular arguments on the various topics.  

● Demonstrate understanding of the major moral philosophical approaches and techniques in moral reasoning.  

 ● Formulate and critically assess personal positions/convictions. 

Global Ethics: Conceptual Definitions, Historical Origins & Present Challenges  Introduction to the course Ethics, Morals and Values Cultural Relativism vs  Universalism (case study)  

Rationalist Ethical Theories; Contractualist ethics, Deontological Ethics, Utilitarian  Ethics, Discourse ethics, Alternatives to Ethical Rationalism Virtue Ethics Feminist &  Care Ethics Postmodernist Ethics  

Ethics of International Aid and Development: Humanitarian Aid in Conflict Zones  Global Distributive Justice and Global Poverty: Models for International Economic  Justice Ethics of War: Torture in Abu Ghraib (Case Study)

Rohingya Issues: Are humanitarian interventions justified? The case study of  Myanmar/Burma Global Environmental and Climate Ethics: Trade Agreements and  Global Environmental Ethics Global Business Ethics and Arms Trade: The Ethics of  Capitalism (Film Inside Job)

Natural Resources Extraction from the Kimberley process towards universal  legislation (Movie: Blood Diamond), Global Journalism Ethics, Digital Media Ethics  and Whistleblowing Practices: Snowden and Whistleblowing Ethical Implications of  Emerging Technologies: Genetics, stem cell and embryo research: Embryo research  and women’s rights

Graham, G. (2008) Ethics and International Relations, 2nd Edition. Malden, MA: Blackwell.

LaFollette, H. (ed.) (2003) The Oxford Handbook of Ethical Practice, Oxford: OUP.

Mid Semester Examination:

End Semester Examination: 

This course aims to explore the phenomenon of aesthetics from a multidisciplinary perspective. Further, it helps the students to get exposed to a multidisciplinary approach to understanding realities.

Course Objectives: At the end of the course, students will be able to:

Understand the philosophy behind aesthetics

Understand human perception of aesthetics

Appreciate morality and aesthetic judgments

Take cognizance of the influence of technology on aesthetics

Origin of modern aesthetics; the philosophy behind Aesthetics

Psychology of Aesthetics; morality; aesthetic judgements; appreciation of the environment

Globalization and Technological influence on Aesthetics; digital interface; military; fashion; culture; art and architecture

Hughes, F. (2009). Kant's Critique of Aesthetic Judgement': A Reader's Guide. Bloomsbury Publishing.

Schellekens, E., & Goldie, P. (Eds.). (2011). The aesthetic mind: Philosophy and psychology. Oxford University Press.

Course Description: This course will cover topics related to human engineering and ergonomics more from a psychological perspective. Students will get to learn cognitive, social, organizational, and safety aspects of the result of man-machine interaction. This course provides an overview of the design and strategies of the system for an effective understanding of the man-machine interface. 

Course Objectives: To enable students:

Understand resultant factors of man-machine interaction.

Cognize with pertinent factors related to increasing the efficiency of people in their working environment.

Develop the competency of theoretical understanding for human engineering and ergonomics.

Introduction to human engineering and ergonomics; Human factors engineering and systems design; Sensation and perception;

Cross-cultural design; Mental workload and situation awareness.

Task design and motivation; Job and team design; Workplace design;

Sound and noise; Illumination.

Health and safety management: Organization and public spaces; Warnings and hazard communications; Design for people with functional limitations; Design for aging.

Lee, J. D., Wickens, C. D., Liu, Y. & Boyle, L. N. (2017). Designing for people: An introduction to human factors engineering. CreateSpace. 

Guastello, S. J. (2014). Human factors engineering and ergonomics. CRC Press.

Helander, M. (2006). A Guide to Human factors and ergonomics. Taylor & Francis

This course will be helpful to introduce representative literary texts and analyze the craft behind creating a literary work, specifically focusing on the art of fiction writing.

This course is designed across five units; the first four units are—

1.     Introduction to plot (10 hours)

2.     Character Development (10 hours)

3.     World building(setting) (10 hours)

4.     Developing your personal style (10 hours)

5.     Drafting the story (5 hours)

This will give the students a hands-on practice to refine their fiction writing skills. The final unit of 5 hours will pay attention to writing the first draft of the story, getting the story reviewed among the peers, using the criticism to improve the text and finally, rewrite and submit a fine-tuned summative text. This course will aid the students to communicate their thoughts in the form of a literary work while also engaging with the works of their peers and offer constructive criticism. It will also equip them with essential editing and close reading skills while engaging with the critical thinking faculties and creativity. 

Reference (For the current Unit)

Plot and Structure, James Scott Bell (2004)

Reference (For the current Unit)

Creating Character Arcs: The Masterful Author's Guide to Uniting Story Structure, K M Weiland