CHRIST (Deemed to be University), LAVASA School of ...

CHRIST (Deemed to be University), LAVASA

School of Business and Management

Bachelor of Business Administration (Business Analytics)

Course Structure for the Batch 2021 - 2024

Semester I

Course

Code Title

Theory/

Practical Type*

Hr/w

k Credits CIA ESE Total

Durat

ion of

Exam

BBA131 Principles of

Management Theory CC 4 4 70 30 100 2

BBA132

Financial Accounting Theory

CC 4 4 70 30 100 2

BBA133 Micro Economics Theory CC 4 4 70 30 100 2

BBA134L Business Mathematics

Theory PC 4 4 70 30 100 2

ENG121L English

Theory AECC 3 3 70 30 100 2

LAN121L Language

Theory AECC 3 3 50 50 100 2

HOL111 Holistic Education Theory SEC 1 1 Grade

(50) NA

BBA112L Foundations of Data

Science Theory &

Practical SEC

(CIA

Based)

2 1 50 NA

BBA113L

Spreadsheet

application in

analytics

Practical

SEC 3 - Grade

(100)

-

Any 1 Generic Elective to be chosen out of 2

BBA161L

A

Innovation and

Creativity in Business

Theory GE 2 2 100 100 -

BBA161L

B

Business

Communication Theory GE 2 2 100 100

Total 30 26 750

Semester II

Course

Code Title

Theory/

Practical Type*

Hr/w


Durat

ion of

Exam

BBA231 Organizational

Behavior Theory CC 4 4 70 30 100 2

BBA232 Business Statistics Theory CC 4 4 70 30 100 2

BBA233 Macro Economics Theory CC 4 4 70 30 100 2

BBA234L Introduction to Business

Analytics Theory PC 4 4 70 30 100 2

ENG221L English

Theory AECC 3 3 70 30 100 2

LAN221L Language

Theory AECC 3 3 50 50 100 2

EVS 221 Environment Studies

Theory AECC 2


(50)

BBA212L

Global Capital Markets

and Investment

Banking

Practical SEC 3 - Grade

(100) NA

BBA213L

Basics of R

programming

Theory

&

Practical SEC

2 1 100 100 -


BBA261L

A

Design Thinking

Theory GE

2 2 100 - 100 -

BBA261L

B

Intellectual Property

Management

Theory GE

2 2 100 - 100 -

Total 30 28 700

Semester III

Course

Code Title

Theory/

Practical Type*

Hr/w


Dur

atio

n of

Exa

m

BBA331 Financial Management

Theory CC 4 4 70 30 100 2

BBA332 Human Resource

Management Theory

CC 4 4 70 30 100 2

BBA333 Marketing Management

Theory

CC 4 4 70 30 100 2

BBA334L Introduction to Database

Management Systems Theory&

Practical PC

4 4 70 30 100 2

BBA335L

Operations Research Theory PC 4 4 70 30 100 2


(50)

BBA312L Applied R for Analytics Practical SEC 3 -

Grade

(100) -

BBA381L Organization study Practical SEC 1

Grade

(100) -

Any 1 Generic Elective to be chosen out of 2 BBA361L

A Human Rights Law Theory GE 3 3 100 100 NA

BBA361L

B

Family Business

Management Theory GE 3 3 100 100 NA

Total 27 25 600

Semester IV

Course

Code Title

Theory/P

ractical Type*

Hr/

wk Credits CIA ESE Total

Dur

atio

n of

Exa

m

BBA431 Cost and Management

Accounting Theory CC 4 4 70 30 100 2

BBA432 Entrepreneurship

Development Theory CC 4 4 70 30 100 2

BBA433 Research Methodology

Theory CC 4 4 70 30 100 2

BBA434L International Business Theory PC

4 4 70 30 100 2

BBA435L

Data Visualization Practical PC 4 4 70 30 100 2


(50)

BBA 412L Applied Python for

Analytics Practical SEC 3 -

Graded

(100)


BBA461L

A

Web Scraping for Data

Analytics

Practical GE 3 3 100 100 -

BBA461L

B Corporate Governance Theory GE 3 3 100 100 -

Total 27 24 600

Semester V

Course

Code Title

Theory/

Practical Type*

Hr/w


Durat

ion of

Exam

BBA531 Strategic Management

Theory CC 4 4 70 30 100 2

BBA532 Taxation Laws

Theory CC 4 4 70 30 100 2

BBA533L

Knowledge Management

Theory PC 4 4 70 30 100 2

Any 2 Discipline Specific Electives to be chosen out of 3

BBA541LA Digital Marketing Theory DSE 4 4

70 30 100 2

BBA541LB Human Resource Analytics Theory DSE 4 4

70 30 100 2

BBA541LC

Artificial Intelligence for

Business & Society Theory DSE 4 4 100 100 2

BBA581L Internship Project Practical SEC Grade

(100)

BBA511L Structured Query

Language in Analytics Practical SEC 3 -

Grade

d

(100)

Total 23 20 500

Semester VI

Course

Code Title

Theory/

Practical Type*

Hr/w


Dur

atio

n of

Exa

m

BBA631 Operations

Management Theory CC 4 4 70 30 100 2

BBA632 Business Laws

Theory CC 4 4 70 30 100 2

BBA633L Banking & Insurance

Theory

PC 4 4 70 30 100 2

Any 2 Discipline Specific Elective to be chosen out of 3

BBA652LA

Retail Management

Practical DSE 4 4 100 100 2

BBA652LB Fintech

Practical

DSE 4 4 100 100 2

BBA652LC Supply Chain Analytics

Practical

DSE

BBA681L

Research Project

Practical SEC 2 3 100

IC631L INDIAN

CONSTITUTION SEC 1

BBA611L Applied Data Mining

and Big Data Practical SEC 3 -

Grade

(100)

Total 25 24 600

TPC*Total

Credits 147 Total Marks 3750

Semester Credits

I 26

II 28

III 25

IV 24

V 20

VI 24

Total 147

SYLLABUS FOR SEMESTER I

School of Business and Management

CHRIST (Deemed to be University)

Course Name: Principles of Management Course Code: BBA131

Total number of hours: 60 Hours Credits: 4

Course Description: The dynamic business environment, compels managers to perform a

challenging role in steering the organizations’ success to new heights. This comprehensive

introductory course has been designed to provide valuable insights into the functions of modern-

day managers. By tracing the historical evolution of management thought, it explores the basic

concepts, principles and theories of management. It orients the learners towards basic

understanding of managerial functions like planning, organizing, staffing, motivation,

communication, controlling and supervision. By focusing on the contemporary challenges faced

by organizations in recent years, it enables the proponents to gather knowledge about skills

which would have a real time application in the corporate world.

Course Objectives:

To outline the fundamental activities of managers

To explain the basic concepts, principles and theories of management

To examine the broad functions of management

To identify the contemporary issues and challenges in the field of management

To identify ethical workplace practices

Course Learning Outcomes: On having completed this course student should be able to:

CLO1 Demonstrate understanding of the role of managers in an organization

CLO2 Summarize the elementary concepts, principles and theories of management

CLO3 Examine the managerial functions having an impact on the organizational effectiveness

CLO4 Identify the contemporary issues and challenges in management

CLO5 Develop ethical workplace practices

Pedagogy: This course uses multiple pedagogies like interactive lecture, students’ discussions

and PPTs, case studies, quizzes, role plays, and other forms of experiential learning.

UNIT I Introduction to Management

10 Hours

Definition – nature, process and significance of management – Role of managers – Managerial

Skills and Roles - Evolution of Management Thought: Classical Management Approaches,

Behavioural Management Approaches, Quantitative Management Approach, Modern

Management Approaches - Management as a Science or Art - Management as a profession-

Administration and Management- Functions of Management – Functional Areas of

Management.

UNIT II Planning and Decision Making

10 Hours Planning - Nature and Importance of Planning- Types of Plans - Levels of Planning - Steps in

planning - Making Effective Plans- Objectives and Management By Objective (MBO) –

Management By Exception (MBE) - Policy and Strategy- Forecasting and Decision Making -

Nature of decision making - Types of decisions – Decision Making Process – Rational

Perspectives and Behavioural Aspects of decision making.

UNIT III Organizing

10 Hours Organizing - Nature and purpose - Principles of Organization - Types of Organization -

Organisational Structure and Design – Line, Staff and functional authority – Conflict between

Line and Staff – Overcoming the Line-Staff Conflict. Departmentation - Span of control –

Authority, Responsibility and Accountability - Principles of Delegation - Steps - Centralization

Vs Decentralization – Factors determining the degree of Decentralization of authority.

UNIT IV Staffing

8 Hours Staffing - Nature and Purpose of staffing – Importance of staffing – Components of Staffing -

Manpower planning - Recruitment and Selection - Training and Development - Performance

Appraisal.

UNIT V Directing

10 Hours

Directing – Nature of Directing function - Principles – Importance of Effective Direction –

Motivating people at work – Early motivational theories, Leadership and change - Effective

Communication skills for directing – Barriers of communication.

UNIT VI Controlling and Supervision

7 Hours

Controlling - Concept, Nature and Importance - Essentials of Control - Requirements of an

Effective Control System – Behavioural Implications of Control – Techniques of Managerial

control - Co-ordination – Need for co-ordination – Types of Co-ordination - Techniques of

Coordination - Cooperation. Supervision – Position of a supervisor – Qualities of a good –

Essential requirements of effective supervision.

UNIT VII Contemporary Issues and Challenges in Management of 21st Century

5 Hours

Total quality management, Work force diversity, Globalization and innovation, Enterprise

mobility, How to manage and control virtual teams, creating an ethical workplace.

Core Text:

1. Stoner, Freeman, Gilbert Jr. (2014). Management (6th edition), New Delhi: Prentice

Hall India.

Reference Books:

1. Daft, R. L. (2009). Principles of Management (1st edition), Cengage Learning.

2. Gupta, R.S., Sharma, B.D., & Bhalla. N.S. (2011). Principles & Practices of

Management (11th edition). New Delhi: Kalyani Publishers.

3. Williams. Management, (International edition) South-western Cengage Learning.

4. John R. Schermerhorn. Management, Wiley-India

5. Koontz, H., & Weihrich, H. Essentials of Management, McGraw Hill Publishers.

6. L M Prasad, (2007). Principles and Practices of Management, Himalaya Publishing

House

7. Rao, P.S. (2009). Principles of Management, Himalaya Publishing House.

8. Moshal, B.S. Principles of Management, Ane Books.

Course Name: Financial Accounting Course Code: BBA132


Course Description: This course intends to introduce basic accounting principles and

practices. It also deals with subsidiary books maintained in business organizations. The

students will have knowledge about the fundamental accounting processes such as

journalizing, ledger posting, preparation of trial balance and final accounts in sole trading

business. It also deals with providing an overview of accounting standards and IFRS. This

course will be useful for all those who are desirous of having an understanding and

application of financial dynamics of the business and become successful financial

managers/entrepreneurs.

Course Objectives:

To provide an understanding of application of various principles and practice of

Accounting.

To demonstrate the knowledge on the process of accounting cycle and basic steps

involved in Accounting.

To extend the knowledge of systematic maintenance of books of accounts to real life

business.

To interpret Annual Financial statements of Sole proprietorship form of business.

To outline the need for Accounting standards and IFRS.


CLO1 Identify the application of various principles and practice of Accounting in

preparation of accounting statements.

CLO2 Demonstrate the knowledge on the process of accounting cycle.

CLO3 Extend the knowledge of systematic maintenance of books of accounts to real life

business.

CLO4 Interpret Annual Financial statements of Sole proprietorship form of business.

CLO5 Outline the need for Accounting standards and IFRS

Pedagogy: This course uses multiple pedagogies like interactive lecture, hands on

preparation of financial statements, discussions & presentations and experiential learning

of cash book preparation for kirana shops of the locality.

UNIT I Introduction to Accounting

6 Hours

Meaning, Need for accounting, Internal and External users of accounting information,

limitations of accounting, accounting Concepts and Conventions, Accounting Practices,

Generally Accepted Accounting Principles.

Unit II Accounting Systems and Process

12 Hours Nature of Accounting, Accounting equation - Systems of Accounting, Process of Accounting

transactions- types of Accounts, Rules of Accounting. Journal - Meaning, features, simple

and compound entries, Including recording of GST transactions, Capital and revenue

expenditures, Capital and revenue receipts, Contingent assets and contingent liabilities,

Preparation of ledgers and Trial balance.

Unit III Subsidiary Books

10 Hours

Conceptual introduction to subsidiary books - Sales book, Sales return book, Purchases book,

Purchase returns book, receivable book, payable book. Practical problems in Cash Book-

Single column, double column, and three columnar cash book.

Unit IV Bank Reconciliation Statement

8 Hours

Need for reconciliation and preparation of bank reconciliation statement.

Unit V Rectification of Errors

8 Hours

Need for rectification of errors, types of errors, process of rectification and accounting entries

of rectification.

Unit VI Final Accounts

12 Hours

Preparation of Trading and Profit and Loss account and Balance Sheet of sole trading

concerns.

Unit VII Accounting standards and IFRS

4 Hours

Types of Accounting standards, Need for IFRS, Ind AS and IFRS.

Essential Reading:

Jain S.P., & Narang K L. (2020). Basic Financial Accounting I, New Dehli, Kalyani

publishers.

Recommended Reading:

1. Maheshwari, S.N., & Maheshwari, S.K. (2020). Advanced Accountancy1, New

Delhi: Jain Book Agency.

2. Shukla, M. (2020). Advanced Accounts, New Delhi, S Chand Group

3. Radhaswamy, M & Gupta, R.L. (2020).Advanced Accountancy 2, New Delhi,

Sultan Chand & Sons.

4. Reddy, A. (2020). Fundamentals of Accounting, New Delhi, Himalaya Publishing

House

5. Gupta, A. (2020). Financial Accounting for Management: An Analytical

Perspective, Noida, Pearson Education.

6. Raman, B. S. (2014). Financial Accounting (1stedi).I & II, New Dehli:United

Publishers.

7. Porter, G.A., & Norton, C.L. (2013). Financial Accounting (IFRS update)( 6thedi),

Cengage Learning.

8. Jawahar Lal & Seema Srivastava (2013). Financial Accounting New

Delhi:Himalaya Publishing House.

9. Arora M. N. (2013). Accounting For Management. New Delhi: Himalaya

Publishing House.

Bhattacharya .(2013). Essentials of Financial Accounting (Based on IFRS) (2ndedi),

Prentice Hall India.

Course Name: Microeconomics Course Code: BBA133


Course Description: This common core course helps students to think in the economic way

of establishing a connection between unlimited wants and limited resources available to an

individual, firm and the society. It deals with the application of economic analysis in

formulation of business decisions. In this context, the course deals with demand, supply,

pricing, theory of consumer choice, theories of production and market structures.

Course Objectives:

This course aims to help students to:

Describe how economic trade-offs and social values impact business decisions.

Understand the causes and consequences of different market conditions.

Explain the theory of consumer choice using the utility concepts.

Make use of the concept of market equilibrium in business decisions.

Analyse cost of production and revenue of business operations.

Evaluate the market outcome(s) under different market structure.

Course Learning Outcome

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

CLO1: Illustrate society's trade-offs by using Production Possibility Frontier.

CLO2: Explain the effect of shifts in market supply and demand curves on price and

quantity produced by firms.

CLO3: Explain how consumers maximise total utility within a given income using the

utility concepts.

CLO4: Examine the effects of negative and positive externalities and examine the real-

world externality situations.

CLO5: Anlayse relationship between different cost and revenue concept related to

production process.

CLO6: Compare the pricing mechanism and output determination under different

market conditions.

Unit I Basic Concepts

6 Hours

Ten Principles of Economics: How People Make Decisions - How people Interact - How the

Economy as a Whole Works; Thinking Like an Economist - Role of Observations, Theory

and Assumptions in Economics; Role of Economic models - The Circular Flow Diagram -

Production Possibility Frontier - Opportunity Cost; Central Problems of an Economy;

Microeconomics and Macroeconomics.

Unit II The Basics of Supply and Demand

10 Hours Markets and Competition; Demand - Law of Demand, Exceptions to the Law - Market Demand -

Changes in Demand; Supply - Law of Supply, Exceptions to the Law - Market Supply - Changes in

Supply; Equilibrium – Steps - Changes in Equilibrium.

Unit III Elasticity and its Application

7 Hours

Elasticity of Demand - Price Elasticity and Its Determinants - Methods of Measurement - Degrees

of Price Elasticity - Total Revenue and Price elasticity; Income Elasticity Demand; Cross Elasticity

Demand; Elasticity of Supply-Determinants - Measurement and Degrees.

Unit IV Theory of Consumer Behaviour

10 Hours

Utility - Characteristics and Types - Cardinal and ordinal Utility analysis – Law of Diminishing

Marginal utility; Budget Constraint; Indifference curves - Properties, Consumer’s equilibrium -

Price Effect - Income Effect and Substitution Effect.

Unit V Market Efficiency and Externalities

5 Hours

Consumers, Producers and the Efficiency of the Markets: Consumers surplus (Marshall) - Producer

surplus and Market efficiency; Externalities and Market Inefficiency - Negative and Positive.

Unit VI Theory of Production and Cost

10 Hours Production Function; Law of Variable Proportions; Law of returns, Economies of Scale; Iso-quants

and Iso-cost lines. Cost Function - Important Cost Concepts; Short Run and Long Run Cost

Analysis (traditional theory) - Modern theory of cost; Long Run and short Run Revenue analysis.

Unit VII Market Structure and Competitive Strategy

12 Hours

Market structure - Perfect Competition - Price and Output Determination - Role of Time

Element in Market Price Determination; Monopoly - Price and output determination, Price

Discrimination; Monopolistic Competition - Price and Output Determination-Selling Costs

- Product Differentiation – Oligopoly - Duopoly Example - Price Determination (Collusive

Pricing, Price Leadership).

Essential Reading:

Gregory Mankiw, N. (2016), Principles of Economics, 8th Edition, Cengage Learning India.

Recommended Reading

Robert S Pindyck and Daniel L Rubinfeld (2013), Microeconomics, 8th Edition, New York:

Pearson.

Salvatore, D. (2011). Managerial Economics in a Global Economy (7th ed.). Oxford: Oxford

University Press.

Sen, Anindy (2006). Microeconomics: Theory and application (2nd ed.). Oxford: Oxford

University Press.

Course Name: Business Mathematics Course Code: BBA134L

Total number of hours: 60 Credits: 4

Course Description: In recent times Mathematics has emerged as the key for major decision making

process. The subject is introduced to provide the basic knowledge giving emphasis on the

applications in business. Understanding of mathematical models is essential to project the real life

scenario in simplified form in business. The study of matrices helps to handle mathematical models

with many variables. The decision making environment is so complex that the right and appropriate

decision can only be made with good analytical skills.

Course Objectives

To interpret the basic concepts in Mathematics.

To appreciate wide applications of mathematical models in business.

To perform data driven decisions.


CLO1- Outline basic concepts in Mathematics.

CLO2- Appreciate wide applications of mathematical models in business.

CLO3- Perform data driven decisions.

Pedagogy: This course uses multiple pedagogies like interactive lecture, problems and case based

problems

Unit - I: Linear and quadratic models 12 Hrs

Linear and quadratic equations in one and two variables, simultaneous linear equations,

Linear inequalities in one variable, linear functions, slope and equations of a line, linear

mathematics models, constructing mathematical models

Unit – II: System of Linear Equations and Matrices 13 Hrs

Addition of matrices – System of linear equations, addition and multiplication of Matrices –

Determinants – Inverse of a matrix by Gauss Jordan method. Application of matrices and

Determinants – Solution of a system of linear equations- Gauss elimination method- The Leontief

Input Output Model

Unit – III: Permutations and combinations 9 Hrs

Permutations – Factorials, Permutations of n Different Things, Permutations of Things not

all Different, circular permutations and restricted permutations; Combinations –

Complementary combinations, restricted combinations, Combination of Things not all

different.

Unit – IV: Commercial Arithmetic 6 Hrs

Simple interest – Compound Interest. Equivalent Rate – Depreciation - Present value.

Annuity – Sinking Fund

Unit V- Sequence and series 5 Hrs

Types of sequence – Finite, Infinite, Fibonacci; Kinds of sequence – Arithmetic

Progression, Geometric Progression, Harmonic Progression

Unit VI – Calculus 15 Hrs

Limits – Differentiation - Methods of differentiation – Second order derivative – Maxima and

Minima. Application to commerce and Economics. - Revenue Function – Cost function – Profit

function – Elasticity of demand – Breakeven point.

Essential Reading :

Sancheti, D. C., & Kapoor, V. K. (2009). Business Mathematics. New Delhi: Sultan Chand

and Sons.

Recommended Reading

1. Gupta, J. D., P, K., &ManMohan. Mathematics for Business and Economics. Tata

McGrawHill Publishing Company Limited.

2. Navaneetham, P. Business Mathematics and Statistics. Anand Publishers.

3. Padmalochan, H. (2010). A TextBook of Business Mathematics, New Delhi: Sultan Chand

and Sons.

4. Singh, J. K. (2013). Business Mathematics, New Delhi: Himalaya Publishing House

5. Vohra, N. D. (2009). Quantitative Techniques in Management (4th ed.). New Delhi: TMH

Publishers

Course Name: Foundations of Data Science Course Code: BBA 112L


Course Description: 'Data Scientist' is one of the hottest professions of the 21st century. The

Foundations of Data Science is a comprehensive course with a strong focus on skills such as statistics,

data mining, data wrangling, data visualization, regression models and clustering, decision trees,

linear and logistic regression, OSMEN Methodology. This course aims to build an understanding of

concepts like supervised and unsupervised learning models, and more.

The program concludes with a study of industry cases. These projects are selected to reinforce the

subject by building a real-life predictive model, encompassing all the key aspects learned throughout

the program. The skills focused on in this program will help the students be prepared for career

opportunities in the field of Data Science.

Course Objectives:

To understand the relevance of Data Science and its application in business context

To infer data visualization for exploratory analysis

To develop supervised and unsupervised algorithms based on the problem statements and

the data

To develop the performance of the models for business context

To construct analytics solutions and estimate the efficacy

Course Learning Outcome: On having completed this course student should be able to:

CLO 1 Outline the importance of Data Science and its applications

CLO 2 Illustrate data visualization for exploratory analysis and effective communication to a

diverse audience

CLO 3 Build supervised and unsupervised algorithms based on the problem statements and the data

(labelled and unlabelled data)

CLO 4 Evaluate the performance of the models

CLO 5 Build analytics solutions and assess their effectiveness;


problems

Unit 1: Introduction to Data Science 2Hrs

What is Data Science? Roles of Data Scientist, Other Opportunities in this field. Understand the

differences between Artificial Intelligence, Machine Learning, Deep Learning - their applications

and trends; Difference between the Statistical and ML Approaches; Big Data and misconception

about them;

Unit 2: Data Science Tool Kit 9Hrs

Introduction to Data Life cycle; introduction to OSEMN methodology; introduction to Orange

OBTAIN AND SCRUB

Types of data sources; obtaining the data; data preparation to achieve business objectives;

identification of data requirements to solve business problem; the importance of data quality; dealing

with duplicate, missing, and incomplete data.

EXPLORATORY DATA ANALYSIS

Introduction to EDA, Data Visualization with Orange -Data mining tool. Data Wrangling, Data

Cleaning and Preparation for the model preparation, Feature engineering (Feature Scaling and

Standardization), Univariate Analysis, Multivariate Analysis and Correlation study using Orange.

Application of descriptive statistics on real-life dataset; draw inferences; data visualization using

Orange: Histograms, frequency distributions; box plot; basic probability concepts; conditional

probability, probability distributions;

Unit 3: MODELS 10Hrs

Supervised learning and different types of Supervised Learning algorithms, [Regression, and

Classification Models] (Logistic, Decision Tree, CART); The Curse of Dimensionality (COD); bias-

variance trade-off; train-test split; K-fold cross-validation; evaluate various models and comparison

of performance; Training and Visualizing a Decision Tree, Computational Complexity, Gini Impurity

or Entropy?, Regularization Hyperparameters

Case study based on Simple Linear Regression Algorithm

Case study based on Logistic Classification Algorithm

The Hands-on practice exercise will be based on Industry case studies

Unit 4: Multivariate Unsupervised Learning 3 Hrs

Association and dependence; differences between causation and correlation; the importance of the

Simpson’s paradox; illustration of clustering techniques (cluster by variable or factor analysis and

cluster by observation); K-Means Clustering, K-Means Algorithm with example, Pros & Cons of

K-Means Clustering hands-on problems using K-Means algorithm.

Unit 5: Natural Language Processing And Sentiments Analysis 4 Hrs

NLP - the branch of machine learning and data science that deals with text and speech; a model for

sentiment analysis in Python; NLTK (Natural Language Tool Kit) library; and latent semantic

analysis or LSA. POS Tagging & Named Entity Recognition

Introduction to Sequential models, Long Short Term Memory (LSTM), Applications of LSTMs,

Sentiment analysis using LSTM.

HANDS-ON EXERCISES: Two Industry Case Studies 2Hrs

Essential Reading

The faculty will provide the presentation and exercises to the students

Reference Books

1. Geron, A (2017). Hands-on Machine Learning with Scikit Learn and TensorFlow.

O′Reilly; 1st edition

2. James, G et al., (2014), Introduction to Statistical Learning. 2nd Edition, Springer

Software required

• Anaconda Navigator

https://docs.anaconda.com/anaconda/navigator/#:~:text=Anaconda%20Navigator%20is%20a%20d

esktop,in%20a%20local%20Anaconda%20Repository.

• Orange: http://orange.biolab.si/download/#windows

Course Name: Spreadsheet Application In

Analytics

Course Code: BBA113L

Total number of hours: 45 Credits: No credits

Course Description: The objective of this course is to provide hands-on and practical

implementation of Financial Modeling in Excel.

Course Objective:

To understand basic and intermediate Excel functions and functionalities.

To apply Excel functions and functionalities to Finance

To learn how to analyze financial datasets in Excel

To Learn how to perform advanced searches, lookups, filters and aggregations on financial datasets

To Understand and learn how to perform scenario and sensitivity analysis in Finance

To Learn how to build basic applications and dashboards in Excel for Finance

To Learn how to perform Statistics for Finance in Excel

To Understand concepts in Financial Management, Statistical Finance and Corporate Finance using

Excel

To Learn to apply valuation techniques such as DCF, Transaction multiples

To Learn to create an integrated financial modeling and forecasting mechanics


CLO 1 – Analyze the basic and intermediate Excel functions and functionalities

CLO 2 - Apply Excel functions and functionalities to Finance

CLO 3 – Evaluate the financial datasets in Excel

CLO 4 – Develop the financial dashboards

CLO 5 - Illustrate advanced searches, lookups, filters and aggregations on financial datasets

CLO 6 - Elaborate and learn how to perform scenario and sensitivity analysis in Finance

CLO 7 -Interpret how to build basic applications and dashboards in Excel for Finance

CLO 8 - Infer how to perform Statistics for Finance in Excel

CLO 9 - Formulate concepts in Financial Management, Statistical Finance and Corporate Finance

using Excel

CLO 10 - Develop valuation techniques such as DCF, Transaction multiples

CLO 11 - Design an integrated financial modeling and forecasting mechanics


problems

Unit- I: Advanced Excel Functions on financial datasets 9Hrs

Lookups and Searches (within table, across tables), Statistical Finance functions, Corporate Finance

functions, Aggregation functions - Applications of Sumifs and Countifs, Aggregation functions -

Conditional Sumproducts, Other Usefuls functions - string / statistical / date-time, Error Handling

Functions, Dynamic modeling using Named Ranges

Unit II Advanced Lookups and Searches on financial datasets 9Hrs

Reverse lookups, dynamic searches, Multiple Lookups with applications to financial data sets,

Multi-dimensional searches in Excel, Applications on financial time series and datasets

Unit III: Data Aggregation techniques in Excel for financial datasets 6Hrs

Data Aggregation methods, Using Tables as a powerful way to build dynamic formulae

Aggregation using Pivot Tables & Techniques, Filtering Techniques, Conditional aggregation

techniques (using datasets)

Unit IV: Using Excel for Advanced functionalities in Finance 3Hrs

Solver & Optimization Techniques, Scenario Analysis, Sensitivity Analysis, Goal Seek, Examples

from various finance and banking domains on applications of above principles

Unit V: Dashboard creation: 12Hrs

Advanced Graphing in Excel, Advanced Conditional Formatting in Excel, Applications from

Finance for aggregating financial datasets and financial time series, Writing Complex Logic and

applied examples

Unit VI: Building Integrated Financial Model 6Hrs

Understanding and creating a financial model template, Calculating Growth Drivers and Future

Assumptions, Revenue Build-Up - Projecting the Future Revenues, Cost Build-Up - Projecting the

Future Cost, Modeling historical & projected financial statements - P&L and B/S, Building an

integrated model for valuation using DCF, Sensitivity/Scenario Analysis

Incorporating other accounting details like revenue recognition, deferred taxes etc.

Essential Reading

Simon Benninga, Financial Modeling with Excel (4th edition)

Recommended Reading

1. Chandan Sengupta - Financial Analysis and Modeling Using Excel and VBA (2nd edition)

2. Jackson and Staunton – Advanced Modeling in Finance using Excel and VBA

Course Name: Innovation and creativity in

Business

Course Code: BBA161LA


Course Description: Actual business context requires a degree of adaptation to change which

requires the acquisition of new skills and abilities to seize opportunities and improve productivity

and economic performance. This course deals with the study of innovation and creativity. Students

are expected to understand and identify strategies to promote ideas on innovative /creative products

or services and necessary actions to implement them successfully.

Course Objective:

To demonstrate how creativity leads to innovation.

To develop and implement strategies to enhance personal creativity and transform it to

innovation.

To analyse creativity, barriers to creativity

To analyse the role of a leader in promoting innovation and creativity Course Learning Outcomes: On having completed this course student should be able to:

CLO1- Demonstrate how creativity leads to innovation.

CLO2- Develop and implement strategies to enhance personal creativity and transform it to

innovation.

CLO3- Analyse creativity, barriers to creativity

CLO4- Analyse the role of a leader in promoting innovation and creativity

Pedagogy: This course uses multiple pedagogies like interactive lecture, students’ discussions

&presentations, case studies and article analysis, and experiential learning through building new

innovative and creative businesses.

Unit - I: Introduction to the process of innovation 6Hrs

Incremental and Radical Innovation, Factors that favours incremental innovation, Innovation in

processes, Service innovations. The concept of S-curve: Three lessons, Where do you stand on the

S- curve? Limits to these lessons.

Unit - II: Idea generation 6 Hrs New Knowledge, Tapping the ideas of customers, learning from the lead users, Empathetic design,

Invention factories and Skunkworks, Open market innovation, the role of mental preparation, how

management can encourage idea generation, Two idea generating techniques

Unit-III: Recognizing opportunities and Moving innovation to market 6 Hrs A method for opportunity recognition, Rough -cut business evaluation. The idea funnel, Stage-gate

systems, A caution on funnels and stage-gate systems, Financial issues, Extending innovation

through platforms.

Unit-4: Creativity and creative groups 6Hrs

Myths about creativity, three components of individual creativity, Characteristics of creative groups,

Handling conflicts in groups, Time pressure and creativity. Enhancing creativity: enriching the

organization and workplace, Organisational enrichment, Enriching the physical workplace.

Unit-5 Role of Leaders in promoting innovation 6 Hrs Develop

an innovation -friendly culture, establish strategic direction, be involved with innovation, be open

but skeptical, Improve the idea-to-commercialisation process, apply portfolio thinking, put people

with the right stuff in charge, create an ambidextrous organisation.

Essential reading: Richard Luecke (2003). Guide to Managing Creativity and Innovation, Harvard Business Press.

Books for Reference: 1. P. Rizwan Ahmed (2015). Creative & Innovation Management, Margham Publications.

2. R. Keith Sawyer (2014). Explaining Creativity: The Science of Human Innovation. Oxford

University Press

Course Name: Business Communication Course Code: BBA 161LB


Course Description: This course will give the students a conceptual understanding about the

application of business communication principles through creation of effective business documents

and oral presentations. The course includes study and application of team communication and use of

technology to facilitate the communication process.

Learning Objectives:

To understand and demonstrate writing and speaking processes through proper presentation.

To understand the importance of specifying audience and purpose and to select appropriate

communication choices.

To understand and appropriately apply modes of expression, i.e., descriptive, narrative,

scientific, and self-expressive, in written, visual, and oral communication.

To participate effectively in groups with emphasis on listening, critical and reflective

thinking, and responding.

To develop the ability to research and write a documented paper and/or to give an oral

presentation.

Learning Outcomes: Upon successful completion of this course, the student should be able to:

CLO 1 Apply business communication strategies and principles to prepare effective communication

for business situations.

CLO2 Identify ethical, legal, cultural, and global issues affecting business communication.

CLO 3 Distinguish in team activities that lead to the development of collaborative work skills.

CLO 4 Choose appropriate organizational formats and channels used in developing and presenting

business messages.

CLO 5 Propose an effective oral business presentation.


problems

Unit –I: Basic Principles and Nature of Business Communication 5 Hrs

Introduction, Understanding Communication, the Communication Process, Barriers to

Communication, the Importance of Communication in the Workplace. Types of Business

Communication, Communication Network in Organizations.

Unit –II: Types and Channels of Communication 5 Hrs

Introduction, Types of Communication, Written and oral communication. Classification of

Communication Channels.

Unit - III: The Importance of Listening in the Workplace 5 Hrs

Introduction, what is listening? Barriers to Listening, Strategies for Effective Listening, Listening

in a Business Context.

Unit - IV: Reading Skills for Effective Business Communication: 5 Hrs

Introduction, what is reading? Types of reading, SQ3R Technique of Reading.

Unit –V: Internal Business Communication 5 Hrs

Introduction, Types of Meetings, Before the Meeting, During the Meeting, After the Meeting, and

Common Mistakes made at Meetings. Written communication for official purposes.

Unit – VI: Employment Communication – Resumes and Cover Letters: 5 Hrs

Introduction, writing a Resume, Writing Job Application Letters, Other Letters about Employment,

Group Discussions and Interviews: Introduction, What is a Group Discussion? Attending Job

Interviews.

Essential reading: Hertha, M (2019). Effective Business Communication. McGraw Hill Education India

Books for Reference: 1. Raymond, L (2018). Business Communication: Connecting in a Digital World (Sie) -

Connecting in a Digital World. McGraw Hill Education India

2. Meenakshi. R, Singh. P(2018). Business Communication. Oxford Higher Education

SYLLABUS FOR SEMESTER II

Course Name: Organizational Behaviour Course Code: BBA231


Course Description: The course focuses on the basic elements that determine human behavior in

an organizational context. It provides various theoretical frameworks to understand human

behaviours at individual, group and organization level. The course provides insights into the

foundation of human behaviours such as personality, learning, values, attitudes and perception. At

the group level its characteristics in terms of size, status, norms, role and cohesiveness makes it

functional or dysfunctional. Leaders who are able to influence the individual and group behaviours

create positive organisations culture. Thus it is essential for manager to develop an understanding

about human behaviours at the workplace and manage them for organizational effectiveness.

Course Objectives:

1. To examine the impact of globalization, diversity and ethics on organizational behaviours.

2. To analyses the individual’s work behaviours due to personality, attitudes and perceptions.

3. To assess the dynamics of group behaviours and its influence on group effectiveness.

4. To compare and contrast various leadership style as in classic and modern theories.

5. To determine practices that creates positive organisation culture.


CLO1 Identify the social and ethical issues emerging due to trends in environment.

CLO2 Propose initiative to address the social and ethical issues at individual and

organizational level

CLO 3 Demonstrate understanding personality traits and suitable occupation/job.

CLO 4 Identify factors that leads to formation of work related attitude.

CLO5 Suggest practices that create favorable work related attitude

CLO6 Determine the group properties and its implication on group dynamics.

CLO7 Evaluate various leadership styles that enhance group effectiveness.

CLO8 Discuss practices that create positive organizational culture.

Pedagogy: This course uses multiple pedagogies like interactive lectures, classroom discussions &

presentations, case studies, research papers, movie review and role plays.

Unit I Introduction to Organizational Behavior

8 Hours

Definition of Organizational Behavior, OB as systematic study, Contribution from other disciplines,

Challenges and Opportunities in organizational behavior, OB Model/Framework- Individual, Group

and Organisational Level.

Unit II Personality, Learning and Values

10 Hours

Defining and Measuring Personality, Determinants of Personality, The Big Five Personality Model,

Myers-Briggs Type Indicator, and Other Personality Traits like Authoritarianism, Locus of Control,

Machiavellianism, Self Esteem, Risk Taking, Self-Monitoring and Achievement Oriented.

Importance of values- instrumental and terminal values.

Meaning of Learning; Theories of Learning- Classical Conditioning, Operant conditioning,

Cognitive theory, Social learning theory, Principles of learning, Schedule of Reinforcement.

Unit III Attitude

8 Hours

Components of Attitude- ABC model, Function of Attitude, Cognitive Dissonance Changing

Attitude, Work Attitudes- Job Satisfaction and Organisation Commitment.

Unit IV Perception

6 Hours

Meaning, Factors influencing perception, Attribution Theory, Common short cuts in judging others.

Unit V Group Dynamics

8 Hours

Define Group and different type of Groups, Stages of Group Development, Group Properties-Roles,

Norms, Status, Size, Cohesiveness; Group Decision making, Groupthink and Group Shift

Unit VI Leadership

10 Hours

Concept of Leadership-Trait Theories-Behavioral Theories, Ohio & Michigan Studies - Managerial

Grid; Contingency Theory-Situational Leadership and Path & Goal of leadership; Contemporary

Theories- Transformational, Transactional, Charismatic Leadership, Ethical Leadership and Servant

Leadership.

Unit VII Organization Culture

10 Hours

Definition of organizational culture and its characteristics, Strong versus Weak culture, Function

and Dysfunction of Culture, Creating & Sustaining Culture, -How employee learn culture-Creating

Positive organizational culture.

Essential Reading:

● Stephen P. Robbins, Timothy A. Judge and Neharika Vohra (2018), 18th Ed. Organizational

Behaviour. Pearson Education Asia.

Recommended Reading

● Aswathappa, K. (2016). Organizational Behaviour (Text, Cases and Games), 12th Ed.

Bangalore: Himalaya Publication.

● Fred Luthans (2017). Organizational Behavior: An Evidence - Based Approach, 12th Ed. McGraw Hill Education.

● Gupta, C. B. (2014). A textbook of organisational behaviour: With text and cases. New

Delhi: S Chand & Company.

Course Name: Business Statistics Course Code: BBA232


Course Description: Business Statistics helps us to make business decisions under

uncertainties. Such decisions must be objective and unbiased and based on quantitative data.

This necessitates an analysis of data as well as understanding of statistical tools and models.

With the business entities keen on making data-driven decisions it is essential for individuals

working in this environment to possess skills to use appropriate statistical tools and

techniques in order to make decisions backed by data.

Course Objectives:

To demonstrate data handling skills and summarize data with clarity.

To extend an understanding of application of relevant concepts of Statistics to a given

context/business scenario.

To demonstrate the knowledge on the process of organizing a problem/data and

conduct statistical tests/treatment.

To solve real world business problems by evaluating data with appropriate statistical

techniques

To explain trends exhibited by data.


CLO 1 Demonstrate data handling skills with clarity.

CLO2 Outline the relevant concepts of Statistics to a given context/business scenario

CLO3 Organize a problem/business data and conduct statistical treatment.

CLO4 Evaluate data with appropriate statistical techniques.

CLO5 Explain data trends using time series analysis

Pedagogy: This course uses multiple pedagogies like interactive lecture, case study

discussions & presentations and by conducting a mini research project

Unit I Introduction to Statistics

6 Hours Meaning, Definition, Features, Importance and limitations of statistics. Meaning and

difference between primary and secondary data, data collection methods. Classification and

tabulation of data including tally marks, methods of classifying data - quantitative,

qualitative, geographical, chronological, Discrete and continuous frequency distribution.

Unit II Measures of Central Tendency

10 Hours

Meaning, measures of Central Tendency- Arithmetic Mean, Weighted Arithmetic Mean,

median, mode, geometric mean and harmonic mean (only theory) and partition values-

quartiles, deciles, percentiles.

Unit III Measures of Dispersion and Skewness

10 Hours Meaning, Definitions, Properties of dispersion - Range, Quartile Deviation, Mean Deviation

from Mean and Median, Standard Deviation and coefficient of variation. Skewness-

meaning, difference between dispersion and skewness, Karl Pearson’s and

Bowley’s measures of skewness.

Unit IV Correlation and Regression

8 Hours Meaning, Definition and Use of Correlation, Scatter diagram, Types of correlation, Karl

Pearson’s correlation coefficient, Spearman’s Rank correlation, Probable Error. Regression-

Meaning and utility of Regression analysis, Comparison between Correlation and

Regression, regression lines –X on Y, Yon X, Regression Equations and Regression

Coefficients.

Unit V Time Series

6 Hours Meaning, Components of time series, Calculation of Secular Trend-Moving Average method

– odd and even period moving average and method of Least Squares.

Unit VI Probability and Probability distributions

8 Hours Introduction to Probability, Basic Concepts of Probability, Probability Distributions –

Binomial, Poisson and Normal distributions, Expected Value.

Unit VII Sampling Distribution and Introduction to Inferential statistics

12 Hours

Introduction to testing of Hypothesis: Procedure for testing hypothesis - Setting of

Hypothesis -Null and alternative hypotheses, Estimation, Computation of Test statistics, -

Types of errors in hypothesis testing - Level of significance - Critical region and value -

Decision making. Test of significance for Large and small sample tests, Z and t tests for

mean and proportion, one-way ANOVA, Chi-square test for goodness of fit and

independence of attributes.

Essential Reading:

Sharma, J.K (2020) Business Statistics 5th edition Delhi: Vikas Publishing House


1. Levin R. I.& Rubin D. S. (2014). Statistics for Management. Delhi: Pearson.

2. Pillai & Bagavathi (2016) Statistics, Theory and Practice, S Chand Publishing

3. SP Gupta (2017).Statistical Methods, Sultan Chand and Sons

4. SC Gupta (2018). Fundamentals of Statistics, Himalaya Publishing House

Course Name: Macroeconomics Course Code: BBA233


Course Description: The course aims at providing a systematic introduction to mainstream

approaches to the study of macroeconomics in the current century. It has been designed in

such a way that it stimulates awareness on macroeconomic challenges and policy

management in progressive nations. It also aims at developing the ability for objective

reasoning about macroeconomic issues.

Course Objectives: This course intends to:

● Demonstrate understanding of macroeconomic aggregates and measurement.

● Explain macroeconomic indices and interpreting them.

● Analyse economic growth and money market dynamics and its impact.

● Identify macroeconomic policies and its impact on the economy.

● Demonstrate the understanding of concepts related to Unemployment and market.

● Examine the relationship between macroeconomic variables and dynamics of the

policies.

Course Learning Outcomes: After completing the course, the student will be able to:

CLO1: Explain the measurement of GDP and its components.

CLO2: Explain the methodology/stages of constructing the cost-of-living index and

summarise the impact of such indices on the Economy.

CLO3: Analyse the economic growth and market for loanable funds and illustrate its impact

on the economy.

CLO4: Summarise the concept of unemployment and its implication on the market.

CLO5: Identify the implications of monetary and fiscal policy.

CLO6: Examine the relationship between macroeconomic variables/polices with theoretical

backing.

Pedagogy: This course uses multiple pedagogies like interactive lecture, student discussions

and use of PPTs and case studies.

Unit I Measuring a Nation’s Income and Cost of Living

10 Hours

Economy’s Income and Expenditure - Measurement of GDP - Components of GDP - Real

versus Nominal GDP - The GDP Deflator; The Consumer Price Index (CPI) - Calculation

of CPI - GDP Deflator versus CPI - Correcting economic variables for the effects of inflation

- Real and Nominal Interest Rates - Limitations

Unit II Production and Growth

9 Hours

Economic Growth around the world: Productivity: Its Role and Determinants-Economic

Growth and Public Policy - Investment-Human Capital.

Unit III Goods and Money Market

9 Hours

Saving and Investment in the National Income Accounts - The Market for Loanable Funds -

Policy Changes and Impact on the Loanable fund Market; Money - Meaning and Functions-

Money Supply; Full Reserve Banking and Fractional Reserve Banking - Central Bank Tools

of Monetary Control; Classical Theory of Inflation - Classical Dichotomy and Monetary

Neutrality - Velocity and Quantity equation - Fisher Effect - Costs of Inflation.

Unit IV Unemployment

7 Hours

Identifying Unemployment - Labour Force - Unemployment Rate - Labour Force

Participation - Types of Unemployment - Unemployment Insurance - Minimum Wage Laws.

Unit V Aggregate Demand, Aggregate Supply and Influence of Monetary and Fiscal

Policy on Aggregate Demand

9 Hours

Three Key Facts about Economic Fluctuations - Short run Economic Fluctuations -

Aggregate Demand Curve, Aggregate Supply Curve, Two Causes of Economic Fluctuations;

Monetary Policy Influence on Aggregate Demand - The Theory of Liquidity Preference;

Fiscal Policy influence on Aggregate Demand - The Multiplier Effect - Crowding out effect

- Stabilisation Policy; Active Versus Automatic Stabilizers.

Unit VI Short Run Tradeoff between Inflation and Unemployment

8 Hours The Phillips Curve - Shifts in Phillips Curve and the Role of Expectations - Shifts in Phillips Curve and The Role of Supply Shocks; The Cost of Reducing Inflation Rational Expectations and the Possibility of Costless Disinflation.

Unit VII Six Debates over Macroeconomic Policy

8 Hours

Economic Stabilization - Monetary vs. Fiscal Policy; Handling Recession - Higher Spending

vs. Tax Cuts; Monetary Policy - Rule vs. Discretion Based; Central Bank Goal: Zero vs.

Non-zero Inflation; Government Budget- Balanced vs. Unbalanced; Tax Laws for Savings

– Reformed vs. Not Reformed.

Essential References

Mankiw, G.N. (2018). Principles of Macroeconomics (8th ed.). Cengage Learning India.

Recommended References

Abel, A. B. & Bernanke, B. S. (2011). Macroeconomics (7th ed.). Pearson Education.

Blanchard, O. (2009). Macroeconomics (5th ed.). Pearson Education.

Dornbusch, R., Fischer, S., & Startz, R. (2015). Macroeconomics (11th ed.). McGraw Hill

Education.

Froyen, R. (2014). Macroeconomics: Theories and Policies (10th ed.). Pearson Education.

Mishkin, F. S. (2016). Macroeconomics: Policy & Practice (2nd ed.). Pearson Education.

Course Name: Introduction to Business

Analytics

Course Code : BBA234L


Course Description

Information has been the crux for business success. The advancement in computing and information

technology has created the opportunity for businesses to store, organize and analyze vast amounts of

their customer data for decision making. This course introduces database analytics concepts, methods

and tools with concrete examples from industry applications. Students will learn the fundamentals &

advancement of data analytics driven strategies in creating an edge in today’s competitive business

environment. At the same time the course introduces the relatively more recent advancements in

analytical methods on business data acquired through online channels, the new Practice of Web

analytics.

Course Objective:

To understand and articulate a business problem and convert it into a viable Analytics question.

To apply Data visualization for exploratory analysis and communicate effectively to diverse

audience.

To evaluate various analytical approaches and select the most appropriate for the given

problem.

To build Analytics solutions and assess their effectiveness.

Course Learning Outcome: After learning this course the student will be able to:

CLO1 Demonstrate the awareness and Knowledge of Business Analytics

CLO2 Apply the basic concepts of analytics to the business scenarios and extend the knowledge

about future trends in business analytics.

CLO3 Interpret the analytics methodology

CLO4 Assess the relevance and effectiveness of business analytics solutions

CLO5 Utilize the knowledge of technical skills in descriptive and predictive modelling to support

business decision-making

Unit -I: Introduction to Business Analytics. 4 Hrs

Concept of analytics, Types of Analytics, Application fields - Marketing Analytics, Finance Analytics,

HR Analytics, Operation Analytics, organization and source of data, importance of data quality,

dealing with missing or incomplete data, Role of Data Scientist in Business & Society.

Unit -II: Databases, Data Warehousing and Data Mining 6 Hrs

Types of Data Sources- Structured Vs Semi Structured Vs Unstructured data, Data Warehouse Vs

Databases, Relational Database vs Non-Relational Database, RDBMS Data structures, Columnar Data

structures. Data Mining meaning, Association Rules and clustering, Decision trees, Random forests.

Unit -III: Analytics Methodology 8 Hrs

Introduction to Analytics Methodology, preparing objectives & identifying data requirements, Data

Collection, Understanding data, Data preparation – Data Cleansing, Normalization, Data preparation,

Data Blending, Data Modelling, Evaluation & feedback.

Unit IV: Visualization of Data 8Hrs

Introduction, Data summarization methods; Tables, Graphs, Charts, Histograms, Frequency

distributions, Relative Frequency Measures of Central Tendency and Dispersion; Box Plot; Basic

probability concepts, conditional probability, Probability distributions, Continuous and discrete

distributions, sequential decision making.

Unit V: Time Series 12 Hrs

Trend Analysis, Seasonality and cyclical behavior, Moving Average, Exponential smoothing methods

– Single exponential, double exponential, HOLT-WINTERS, ARIMA, Multiple linear regression-

based forecasting.

Unit VI: Predictive Analysis 16 Hrs

Simple linear regression: coefficient of determination, significance tests, residual analysis, confidence,

and prediction intervals. Multiple linear regression: coefficient of multiple coefficients of

determination, interpretation of regression coefficients, categorical variables, heteroscedasticity,

multi-collinearity, outliers, autoregression and transformation of variables.

Unit VII: Business Analytics Future Trends 6Hrs

Role of Artificial Intelligence in Business, Machine Intelligence, Competitive Intelligence, Text

Mining, Web Analytics (Web content mining, Web usage mining, Web structure mining), Role of

Intelligent Agents in e-business, e-commerce, m-commerce, Location Analytics, Intelligent Agent in

search & retrieval, Personalization and Comparison), Social Networking Analysis, Big Data Tools &

Techniques, Content Analytics (Sentimental Analysis & Opinion Analysis). Ethical and Legal

considerations in Business Analytics

Essential Reading

1. Turban E, Armson, JE, Liang, TP &Sharda, R (2007). Decision Support and Business

Intelligence Systems, 8th Edition, John Wiley & Sons

2. Frank J. Ohlhorst, (2012). Big Data Analytics, 1st Edition, Wiley


1. Microsoft Office 2007 Business Intelligence - Reporting, Analysis, and Measurement from

the Desktop, Doug Harts, TATA McGraw-Hill Edition, 2008

2. Nitin R. Patel, Peter C. Bruce (2010). Data Mining for Business Intelligence: Concepts,

Techniques, and Applications in Microsoft Office Excel with XLMiner, Galit Shmuel. Wiley

Publication,

3. Raman, A & Fisher, M (2010). The New Science of Retailing: How Analytics are Transforming

the Supply Chain and Improving Performance, , HBR Book Press.

4. Kaufmann. M (2011) Data Mining Concepts and Techniques Publication, 3rd Edition, Sage

Publication.

Course Name: Overview of Global Financial

Markets and Investment Banking

Course Code: BBA212L

Total number of hours: 45

Credits: No credits

Course Description

This course is focused on the competitive dynamics and performance of the Global Financial Markets

and Investment Banking. With an emphasis on industry and financial market developments the

course addresses organizational strategy, capital market products and market developments. It also

looks at the risks and opportunities of doing business in today’s financial markets and the challenges

presented by both regulators and market participants. Throughout the course, relevant current events

are examined and used to illustrate and reinforce discussion points

Course Objectives

To understand the concepts of Global Financial Markets and Investment Banking

To familiarize various instruments of financial markets

To realize the role of partakers in Forex market

To acquaint fundamentals guiding the forex and capital market

To evaluate the role of investment bankers in the economy


CLO1 – Demonstrate the structure and methods of Financial and Capital markets from a global

perspective

CLO2 - Categorize various instruments such as forwards, swaps, options, futures and spot transaction

CLO3 – Interpret the participants in Forex market and their role

CLO4 – Illustrate the knowledge on theories governing Foreign exchange

CLO5– Discover the use of derivatives to hedge Foreign exchange risk

Pedagogy: This course uses multiple pedagogies like interactive lecture, case based problems

Unit - I: Overview of Financial Markets and Assets Classes in Investment Banking 3 Hrs

Cash and Money Markets, Bond markets, Foreign Exchange Markets, Equities Markets, Indices and

Stocks, Derivatives Markets, Products and Settlement, Commodities Markets and Products, Saving

and Investment Products, Mutual Fund and other Investment Products

Unit- II: Global Equities Markets and Instruments 12 Hrs

Introduction to Equity Market, Introduction to Capital Markets, Equity Capital Markets, Raising

Equity Through IPO, Raising Equity Through Private Sources, Equity buybacks, de-listing and

reversion to a ‘private’ company, Equity Instruments & their characteristics, Stock Prices and

Corporate Actions, Preference Shares, Depository Receipts, Rights Issues & Warrants, Convertibles,

Equity Structured Products, Participants in the Equity Markets, Introduction and Role of the Buy

Side, Buy Side Participants, Introduction and Role of Sell Side, Services and Participants in the Sell

Side, Market Makers, Types of Equity Markets Exchanges and Indices in the Equity Markets, Indices

and their roles, Understand the difference between exchange and OTC markets, Types of weighted

index, other indices and global indices, Electronic and Hybrid Markets and Order and Quote Driven

Markets, Global Equity Markets, Trading of Equity Instruments, Equity Investments and its benefits

and risks, Stock Quotations, Delivery or cash trading, Long and short positions, Leverage and

Margin, Investing, trading and hedging, Placing Orders-limit orders, stop loss orders and GTD/GTC

orders

Unit -III: Global Foreign Exchange Markets and Instruments 9 Hrs

Introduction to Forex Market, What is foreign exchange market, Functions and purposes of the FX

market, Introduction to types of Foreign Exchange Market, Participants in the foreign exchange

market, Consumers & Travelers, Businesses, Investors & speculators, Commercial & Investment

Banks, Government & Central Banks, Theories governing foreign exchange, Interest rate parity,

Purchasing power parity, Nominal v/s real exchange rates, etc, Spot Market, Market organization,

Quotation conventions, Direct and indirect prices, Cross rates, Value of a pip, Interpreting news and

economic statistics, Delivery and operations, Forward Forex Market, Outright forward and swap

deals, Relation between spot & forward markets, Quoting forward rates, Quoting swap points,

Forward discounts and premiums, Forward transactions

Unit - IV: Global Fixed Income (Bond) Markets and Instruments 6 Hrs Overview of Debt Capital Markets, Characteristics of Debt Capital Markets, The differences between

equity and debt products, The differences between loans and bonds, Hybrid securities, Securitization,

Bond-An Introduction, Bond definition, Bond Issuer & Bond Investor, Types of bond, Bond

characteristics, Zero Coupon Bond, Price/yield relationship, Government bond markets,The

Eurobond market

Unit -V: Global Money Markets and Instruments 6 Hrs

Overview to Money Markets, Objectives, Introduction to Money Markets, Components of Money

Markets, Interest rates in the Money Markets, Market Participants in Money Market, Risks involved,

Money Markets Instruments, Introduction, Coupon bearing instruments& features, Discount

instruments & features, Money Market Operation, Fund Management, CRR Maintenance, Liquidity

Management, Money Market Operations, Managing banks' surplus funds, Trading opportunities in

Money market, Overnight Call Money Market, Repos and Reverse Repos, CBLOs, Marginal

Standing Facilities

Unit -VI: Global Funds 9 Hrs

Potential advantages and disadvantages of collective investment, Difference between active and

passive management, Open-Ended/Mutual Funds, Characteristics and different types of open-ended

fund / mutual fund:US, Europe, Purpose and principal features of the Undertakings for Collective

Investment in Transferable Securities (UCITS) directive in European markets Closed-Ended

Investment Companies, Characteristics of closed-ended investment companies, share classes,

Meaning of the discounts and premiums in relation to the pricing of closed-ended investment

companies, How closed-ended investment companies’ shares are traded.

Essential Reading

Saunders, A & Cornett, A (2020). Financial Markets and Institutions,7th Edition, McGraw Hill

Course Name : Basic R Programming for Analytics Course Code: BBA213L


Course Description This course is used to provide an Introduction to R programming language that combines standard

programming capabilities with statistical analysis. The course also gives students the ability to do

data analysis and statistical computing. The course also covers basic data types and operations,

functions and packages, charts and graphs. The course also covers elementary statistics.

Course Objective: To analyze data using the statistical tool R.

To create vectors, lists, matrices, arrays and data frames using R.

To draw charts and graphs using R.

Learning Outcome

CLO1 Analyze data using the statistical tool R.

CLO2 Create vectors, lists, matrices, arrays and data frames using R.

CLO3 Draw charts and graphs using R.

Unit- 1: Introduction 6 Hrs Features of R – How to install and run R – Comments in R – Reserved words – Identifiers – Constants

– Variables – Operators (Arithmetic, Relational, Logical, Assignment, Miscellaneous Operators) –

Operator Precedence – Strings.

Unit- 2: Basic Data Types, Vectors, Lists and Matrices 6 Hrs Basic Data Types (Numeric, Integer, Complex, Logical, Character) – Creating, combining vectors –

Accessing Vector Elements – Modifying Vectors – Deleting Vectors- Vector arithmetic and

Recycling – Vector Element Sorting – Reading Vectors – Creating Lists –Accessing List elements –

Updating List Elements –Merging Lists – List to Vector conversion – Creating matrices – Accessing

Matrix Elements – Matrix Arithmetic – Matrix Manipulation – Matrix Operations.

Unit -3: Arrays, Factors and Data Frames 6 Hrs Creating Arrays – Accessing Array Elements – Array Element Manipulation – Array Arithmetic –

Creating factors – Accessing Factor Components – Modifying factors – Creating Data Frames –

Accessing Data Frames Components – Modifying Data Frames –Aggregating Data – Sorting Data –

Merging Data – Reshaping data – Sub-setting data – Data Type Conversion

Unit- 4: Flow Control & Functions 6 Hrs Decision making (using if statement - if…else statement - Nested If…Else statement - if else

function - Switch statement) – Loops (for loop – while Loop – repeat Loop) – Loop Control

statements – break statement – next statement – Function definition and Function Calling – Function

without arguments – Built-in functions (Mathematical functions – Character functions – statistical

functions – date and time functions – other functions – Recursive function)

Unit-5: Charts & Graphs 6 Hrs Bar charts (Plotting bars vertically and horizontally – Plotting categorical data – Grouped bar chart

– Stacked bar chart) – Histogram (Simple histogram – Histogram with labels, breaks and density

lines) – Line graphs (Simple line graph & Graphs with Multiple lines) – Pie charts (Simple Pie chart

–Pie chart with slice percentages – 3D Pie charts)

Essential Reading: 1. W. N. Venables, D. M. Smith, An Introduction to R, R Core Team, 2018.

2. John Verzani, simpleR – Using R for Introductory Statistics, CRC Press, Taylor & Francis

Group, 2005.

Recommended Reading: 1. Beginner’s guide for Data Analysis using R Programming by Dr. Jeeva Jose.

Course Name: Design Thinking Course Code: BBA261LA


Course Description: Design thinking is a structured methodology used by professionals to develop

and deliver products, services and experiences that address unsaid human needs. It is a structured

approach that uses empathy and innovative thinking to solve critical business/social problems and

deliver products and services that are desired by customers. Design thinking is about approaching

things differently with a strong user orientation and participation from multidisciplinary teams to

address complex issues. This course is intended to give the students a basic conceptual understanding

about design thinking and the use of design thinking to address and suggest possible solutions to

complex problems

Course Objectives

To identify different creativity and design processes and use it to generate better ideas in a

variety of business settings

To distinguish tools to help validate ideas to improve the chances for impact

To demonstrate as to how creativity and design thinking help businesses to solve complex

problem

To develop their individual and collaborative capabilities to identify social

problems/issues/needs and suggest suitable solutions.


CLO1 Analyse different creativity and design processes and use it to generate better ideas in a variety

of business settings.

CLO2 Utilize a variety of tools to help validate ideas to improve the chances for impact

CLO3 Demonstrate as to how creativity and design thinking help businesses to solve complex

problems

CLO4 Develop their individual and collaborative capabilities to identify social

problems/issues/needs and suggest suitable solutions.

Pedagogy: This course uses multiple pedagogies like interactive lecture, case based problems and

experiential learning activities

Unit- I: Introduction to Design Thinking 6Hrs Background, Definition of Design Thinking, Business uses of Design Thinking, Variety within the

Design Thinking Discipline, Design Thinking Mindset.

Unit- II: Design Thinking Process 6Hrs

Integration process, Design thinking modes, linear or non-linear process, design patterns

Unit- III: Design Thinking in Practice 6Hrs

Process Stages of Designing for Growth: What Is, What If, What Wows, What Works.

Unit- IV: Design Thinking Tools and Methods 6Hrs

Purposeful Use of Tools and Alignment with Process: What Is: Visualization, What Is: Journey

Mapping, What Is: Value Chain Analysis, What Is: Mind Mapping, What If: Brainstorming, What

If: Concept Development, What Wows: Assumption Testing, What Wows: Rapid Prototyping, What

Works: Customer Co-Creation, What Works: Learning Launch, Design Thinking Application,

Design Thinking Applied to Product Development

Unit-V: Enabling Design Thinking in Teams 6Hrs

Components of common ground in teams, Design Thinking for Social Innovation

Essential Reading:

Tim Brown, (2009). Change by Design: How Design Thinking Transforms Organizations and

Inspires Innovation. 1st Edition, Harper Business.

Liedtka, J & Ogilvie, T (2011). Designing for Growth: A Design Thinking Tool Kit for Managers.

Columbia University Press

Reference:

1. Brown, T. (2008). Design thinking. Harvard Business Review, 86(6), 84.

2. Liedtka, J & Ogilvie, T, & Brozenske, R(2014). The Designing for Growth Field Book: A

Step-by-Step Project Guide. Columbia University Press

3. Cross, N (2011). Design Thinking: Understanding How Designers Think and Work

Bloomsbury Academic.

4. Martin, R., & Martin, R. L. (2009). The Design of Business: Why design Thinking is the

Next Competitive Advantage. Harvard Business Press.

Course Name: Intellectual Property

Management

Course Code: BBA261LB


Course Description: The course aims at providing basic legal as well as managerial insights into the

management of IP portfolios in corporate settings. Acquiring knowledge of IP and dealing with their

commercial exploitation and complying with legal requirements, will be the major focus of the

course. Understanding Legal protection of IP both at National level and international level are very

essential for Managers and preparing strategies for their IP based goods and services.

Course Objectives

To enable students to manage IP portfolios

To develop strategies for deploying IP in markets

To train students in dealing with legal formalities for IP protection in India

To be able to file for IP Registration and participate in opposition proceedings

To be able to draft IP licensing agreements for commercial exploitation


CLO 1 Analyse the managing of IP portfolios

CLO 2 Develop strategies for deploying IP in markets

CLO 3 Appraise students in dealing with legal formalities for IP protection in India

CLO 4 Choose file for IP Registration and participate in opposition proceedings

CLO 5 Interpret IP licensing agreements for commercial exploitation

Pedagogy: This course uses multiple pedagogies like interactive lecture, case based problems and

experiential learning activities

Unit I: Introduction to Intellectual Property 5 Hrs

Idea of Intellectual Property- Historical development – Innovations - Introduction to IP Management

– need and necessity – Economic considerations of IP- Theories of IP- Benefits of IP– Importance

of IP in marketing Goods and services –

Unit II: Types of Intellectual property rights 7 Hrs

Kinds of IP – Patents, Copyright, Trademarks, ICs lay-out, Industrial designs, Plant varieties,

Database, Business methods - Legal Protection of IP – Application and Registration of IP – Rights

and Obligations of IP Holder - Remedies for violation of IP rights – Enforcement of IP – Dealing

with piracy and infringement

Unit III: Strategies for Usage of Intellectual Property Rights 10Hrs Making strategy for deploying IPs in market – Strategy for National Market – Strategy for

international Market – Cross licensing – Bracketing - Royalty and Tax aspect – Use of academic

institutions research for developing IP- Lending Trademarks – Breeders Rights

Unit IV: Intellectual Property Registration 8 Hrs Drafting applications for IP Registration – Patents, Trademarks, Copyright and Industrial Designs –

Making and scrutinizing License agreements- Online applications – Participation in opposition

proceedings – Specified case laws of IPAB- Visit to PTO – Case study of IP portfolio of specified

companies.

References

Cornish, Intellectual Property Rights

A K Ahuja , Intellectual Property Rights , Vol.1 & 2

Howard B Rockman, Intellectual Property for Engineers and Scientists

Michael J Gollin, Driving Innovation: Intellectual Property Strategies for a Dynamic World

Michael A Carrier, Innovation for the 21st century: harnessing the power of intellectual

property and antitrust law

Patent Act, 1971

Copyright Act, 1957

Trademarks Act, 2000

Kadry, Abdelkhalak El Hami, Innovations in E-Systems for Business and Commerce

Anshu Saxena, Global Business Value Innovations

Steven Johnson, Where Good Ideas Come From: The Natural History of Innovation

HBR Articles on IP

PTC Journal (1981-2021)

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