MBA Sem-3

Legal Aspects of Business LMB0301

Course Code: LMB0301

Course Title:Legal Aspects of Business (3Credits)

Course Objectives: –

Ø To provide a comprehensive understanding of the legal environment in which businesses operate.

Ø To familiarize students with various laws that influence business operations.

Ø To enable students to apply legal principles in business decision-making.

Ø To help students recognize the legal and ethical responsibilities of businesses.

Course Objectives:

Course Contents:

S.No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Business Laws: Overview of the legal framework in business, sources of business law, and the importance of legal knowledge in business.	Students will be able to define business laws, explain their sources, and understand the significance of legal knowledge in business operations. (BT 1 & 2 – Remembering & Understanding)
2	Unit 2: Contract Law: Essentials of a valid contract, types of contracts, breach of contract, remedies for breach, case studies, cover sections 2A, 2B,2C,2D.	Students will be able to identify the essentials of a valid contract, analyze different contract types, and apply legal remedies for contract breaches. (BT 2 & 3 – Understanding & Applying)
3	Unit 3: Company Law: Formation of a company, types of companies, memorandum and articles of association, directors’ responsibilities and duties, corporate governance.	Students will be able to analyze the company formation process, evaluate different company types, and examine the legal responsibilities of directors under corporate governance. (BT 2 & 4 – Understanding &Analyzing)
4	Unit 4: Sales of Goods Act: Definition and essentials of a contract of sale, transfer of ownership, rights of an unpaid seller, warranties and conditions.	Students will be able to explain the essentials of a contract of sale, analyze the transfer of ownership, and assess the rights and obligations of buyers and sellers. (BT 2 & 3 – Understanding & Applying)
5	Unit 5: Negotiable Instruments Act: Characteristics of negotiable instruments, types, endorsements, dishonour of negotiable instruments, legal perspectives.	Students will be able to analyze the characteristics and types of negotiable instruments, interpret legal aspects of endorsements and dishonor, and evaluate their role in business transactions. (BT 2 & 4 – Understanding &Analyzing)
6	Unit 6: Consumer Protection Act: Rights of consumers, redressal mechanisms, the role of consumer courts, recent amendments and their impact.	T Students will be able to apply consumer protection laws, evaluate redressal mechanisms, and analyze the role of consumer courts in safeguarding consumer rights. (BT 3 & 4 – Applying &Analyzing)
7	Unit 7: Intellectual Property Rights (IPR): Introduction to IPR, types (patents, trademarks, copyrights), procedures for registration, infringement and remedies, case studies, copyright, patents, and trademarks.	Students will be able to understand different types of IPR (patents, trademarks, copyrights), analyze registration procedures, and evaluate legal remedies for infringement. (BT 2 & 4 – Understanding &Analyzing)
8	Unit 8: Labour Laws: Overview of labour laws in India, industrial disputes, social security legislations, recent developments and challenges.	Students will be able to explain key labour laws, assess social security regulations, and analyze challenges in industrial relations. (BT 2 & 4 – Understanding &Analyzing)
9	Unit 9: Environmental Laws: Environmental Protection Act, legal aspects of environmental protection, corporate social responsibility related to environmental laws.	Students will be able to evaluate the legal framework for environmental protection, analyze corporate social responsibility obligations, and apply legal provisions under the Environmental Protection Act. (BT 3 & 4 – Applying &Analyzing)
10	Unit 10: Emerging Legal Issues in Business: Cyber laws, e-commerce legal issues, data protection laws, legal challenges in the digital age.	Students will be able to analyze cyber laws, assess e-commerce legal challenges, and evaluate data protection laws in the digital age. (BT 4 & 5 – Analyzing& Evaluating)

Textbooks:

M.C. Kuchhal&VivekKuchhal, Business Law, Vikas Publishing House, 6th Edition, 2018.
Akhileshwar Pathak, Legal Aspects of Business, McGraw Hill Education, 7th Edition, 2018.

Reference Books:

P.P.S. Gogna, A Textbook of Business Law, S. Chand Publishing, 2nd Edition, 2016.
Avtar Singh, Company Law, Eastern Book Company, 17th Edition, 2021.
N.D. Kapoor, Elements of Mercantile Law, Sultan Chand & Sons, 38th Edition, 2020.

Strategic Management LMB0302

Course Code: LMB0302

Course Title:Strategic Management (3Credits)

Course Objectives: –

Ø To understand the fundamental concepts and frameworks of strategic management.

Ø To analyse internal and external environments to formulate strategic decisions.

Ø To evaluate and implement strategies for competitive advantage in various business contexts.

Ø To develop critical thinking and strategic decision-making skills.

Course Contents:

S.No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Strategic Management: Overview of strategy, strategic management process, levels of strategy, importance of strategic management in business.	Students will be able to define strategic management, explain its process, and understand its importance at different organizational levels. (BT 1 & 2 – Remembering & Understanding)
2	Unit 2: Strategic Intent and Vision: Understanding mission, vision, values, and objectives; crafting a strategic vision; setting long-term goals.	Students will be able to understand mission, vision, values, and objectives, and apply strategic vision-setting techniques for long-term business goals. (BT 2 & 3 – Understanding & Applying)
3	Unit 3: External Environment Analysis:Analyzing the macro environment using PESTEL framework, industry analysis using Porter’s Five Forces model, identifying opportunities and threats.	Students will be able to analyze macro-environmental factors using PESTEL, apply Porter’s Five Forces model, and identify business opportunities and threats. (BT 3 & 4 – Applying &Analyzing)
4	Unit 4: Internal Environment Analysis: Resource-based view, VRIO framework, value chain analysis, core competencies, identifying strengths and weaknesses.	Students will be able to assess organizational resources using the VRIO framework, apply value chain analysis, and evaluate core competencies to determine strengths and weaknesses. (BT 3 & 4 – Applying &Analyzing)
5	Unit 5: Business-Level Strategies: Competitive strategies, cost leadership, differentiation, focus strategies, integrating strategies to achieve competitive advantage.	Students will be able to analyze different competitive strategies, including cost leadership, differentiation, and focus strategies, and evaluate their impact on business advantage. (BT 4 & 5 – Analyzing& Evaluating)
6	Unit 6: Corporate-Level Strategies: Diversification, vertical integration, strategic alliances, mergers and acquisitions, portfolio management, BCG matrix.	Students will be able to assess corporate diversification, vertical integration, mergers and acquisitions, and apply portfolio management tools like the BCG matrix. (BT 4 & 5 – Analyzing& Evaluating)
7	Unit 7: Global Strategies: International and global strategies, modes of entry into foreign markets, global competitive advantage, cross-cultural management.	Students will be able to evaluate international strategies, modes of market entry, and manage cross-cultural challenges in a globalized business environment. (BT 4 & 5 – Analyzing& Evaluating)
8	Unit 8: Strategy Implementation: Organizational structure and design, leadership, culture, managing change, balanced scorecard approach, aligning strategy with operations.	Students will be able to analyze organizational structures, leadership roles, and cultural factors in strategy execution while aligning operations using the balanced scorecard approach. (BT 4 & 5 – Analyzing& Evaluating)
9	Unit 9: Strategy Evaluation and Control: Techniques for monitoring and evaluating strategy, financial and non-financial metrics, balanced scorecard, corrective actions.	Students will be able to apply techniques for monitoring and evaluating strategy, assess financial and non-financial performance metrics, and implement corrective actions. (BT 4 & 5 – Analyzing& Evaluating)
10	Unit 10: Contemporary Issues in Strategic Management: Digital transformation, sustainability, corporate social responsibility, innovation and entrepreneurship, strategic risk management.	Students will be able to evaluate the impact of digital transformation, sustainability, CSR, and strategic risk management, and create innovative business strategies. (BT 5 & 6 – Evaluating & Creating)

Textbooks:

Thompson, A.A., Strickland, A.J., & Gamble, J.E. – “Crafting and Executing Strategy: The Quest for Competitive Advantage” – McGraw-Hill Education, 21st Edition, 2015.
Hill, C.W.L., & Jones, G.R. – “Strategic Management: An Integrated Approach” – Cengage Learning, 12th Edition, 2018.

Reference Books:

Johnson, G., Whittington, R., Scholes, K. – “Exploring Strategy: Text and Cases” – Pearson Education, 11th Edition, 2017.
Porter, M.E. – “Competitive Strategy: Techniques for Analyzing Industries and Competitors” – Free Press, 2008.
Barney, J.B., Hesterly, W. – “Strategic Management and Competitive Advantage: Concepts” – Pearson Education, 6th Edition, 2018.
Grant, R.M. – “Contemporary Strategy Analysis” – Wiley, 10th Edition, 2018.

Security Analysis & Portfolio Management LMB0340

Course Code: LMB0340

Course Title:Security Analysis & Portfolio Management (4 Credits)

Course Objectives: –

⮚ Understand the fundamental concepts of security analysis and portfolio management.

⮚ Learn various investment strategies, including asset allocation and risk management.

⮚ Master the techniques of evaluating securities, including equity, bonds, and derivatives.

⮚ Analyze the role of market efficiency in the pricing of financial assets.

⮚ Develop practical skills in portfolio construction and management.

Course Contents:

Sr. No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Investment & Securities	Understanding basics of Investment and Securities. Students will achieve BT 1 and 2.
2	Unit 2: Financial Markets and Instruments	Mastering different Financial Markets and Different Instruments used in it. Students will achieve BT 2 and 3.
3	Unit 3: Securities Markets: Structure, Participants, and Functions	Comprehending the Structure and Functions of Securities Market. Students will achieve BT 2 and 3.
4	Unit 4: Risk & Return Analysis	Analysing Risk and Return of a Security and Apply it in Financial Markets analysis. Students will achieve BT 3 and 4.
5	Unit 5: Fundamental Analysis: Economic, Industry, and Company Analysis ; Technical Analysis: Tools, Indicators, and Strategies	Learning to measure the intrinsic and extrinsic nature of a Security through Fundamental and Technical Analysis. Students will achieve BT 3 and 4.
6	Unit 6: Efficient Market Hypothesis (EMH) ; Behavioral Finance and Investor Psychology	Learning the Fundamentals of EMH and the importance of Behavioural Finance in Investment. Students will achieve BT 3 and 4.
7	Unit 7: Valuation of Securities: Bonds, Stocks, and Derivatives	Developing skills in Valuation of different Financial market Instruments. Students will achieve BT 4 and 5.
8	Unit 8: Portfolio Theory: Markowitz Model and Modern Portfolio Theory	Understanding the application of Markowitz Model and Modern Portfolio Theory in analyzinganr Evaluating market Instruments. Students will achieve BT 4 and 5.
9	Unit 9: Capital Asset Pricing Model (CAPM) and Arbitrage Pricing Theory (APT)	Understanding the CAPM and APT theories of Financial Markets. Students will achieve BT 4 and 5.
10	Unit 10: Portfolio Construction: Asset Allocation and Diversification Strategies	Evaluating and Constructing Portfolios with different strategies. Students will achieve BT 5 and 6
11	Unit 11: Performance Measurement of Portfolios: Sharpe, Treynor, and Jensen Ratios	Evaluating and Creating Portfolio with the help of different ratio measure. Students will achieve BT 5 and 6.
12	Unit 12: Portfolio Revision and Rebalancing Strategies	Evaluating the Portfolio and applying different rebalancing measures. Students will achieve BT 5 and 6.

Textbook References:

Security Analysis by Benjamin Graham and David Dodd.
Investments by ZviBodie, Alex Kane, and Alan J. Marcus.
Portfolio Management by Prasanna Chandra.
Security Analysis and Portfolio Management by Donald E. Fischer and Ronald J. Jordan.

Other References:

Relevant online resources, current articles, and reports on security analysis and portfolio management.

(Bloom Taxonomy: BT level 1: Remembering; BT level 2: Understanding; BT level 3: Applying; BT level 4: Analyzing; BT level 5: Evaluating; BT level 6: Creating)

International Financial Management LMB0341

Course Code: LMB0341

Course Title: International Financial Management (4 Credits)

Course Objectives: –

Ø To understand the global financial environment and international monetary systems

Ø To develop expertise in foreign exchange markets and risk management

Ø To comprehend international capital budgeting and multinational working capital management

Ø To analyze international funding sources and global financial markets

Ø To evaluate cross-border merger and acquisition strategies

Course Content

Unit	Unit Description	Learning Outcome
1	Foundations of International Financial Management Globalization and the Multinational Firm Market Imperfections and Expanded Opportunity Set Goals of International Financial Management Corporate Governance Around the World	Understanding fundamental concepts of international financial environment and its impact on business decisions. (BT 1: Remembering, BT 2: Understanding)
2	Foreign Exchange Market Fundamentals FX Market Structure and Participants Spot Market Operations Cross-Exchange Rate Quotations Interbank FX Market Triangular Arbitrage	Comprehending the structure and operations of foreign exchange markets and their participants. (BT 2: Understanding, BT 3: Applying)
3	Exchange Rate Determination Purchasing Power Parity The Big Mac Index Currency Boards and Exchange Rate Systems Interest Rate Parity Exchange Rate Forecasting	Understanding exchange rate dynamics and forecasting methodologies. (BT 2: Understanding, BT 3: Applying)
4	Currency Derivatives Forward Foreign Exchange FX Swaps and Futures Currency Options Interest Rate and Currency Swaps Hedging Instruments and Strategies	Mastering various currency derivative instruments and their applications. (BT 3: Applying, BT 4: Analyzing)
5	Foreign Exchange Risk Management Transaction Exposure Operating Exposure Translation Exposure Economic Exposure	Developing skills to identify and manage various types of foreign exchange exposures. (BT 3: Applying, BT 4: Analyzing)
6	International Banking and Money Markets International Banking Operations Eurocurrency Markets International Money Markets Trade Finance Methods	Understanding international banking systems and money market operations. (BT 2: Understanding, BT 3: Applying)
7	International Capital Markets International Bond Markets International Equity Markets Global Market Integration Cross-Border Listings	Comprehending structure and functions of international capital markets. (BT 3: Applying, BT 4: Analyzing)
8	International Portfolio Investment International Diversification and Asset Pricing International Mutual Funds and Country Funds Optimal International Portfolio Selection	Mastering international portfolio management techniques and risk assessment. (BT 4: Analyzing, BT 5: Evaluating
9	Foreign Direct Investment Motives for FDI Cross-Border Mergers and Acquisitions Foreign Investment Strategies Political Risk and FDI Production Relocation and Overseas Investment Decisions	Understanding FDI concepts and implementation strategies. (BT 3: Applying, BT 4: Analyzing
10	International Capital Structure Cost of Capital in Segmented Markets Determinants of Capital Structure Global WACC and Operating Risk Financial Structure of Subsidiaries	Learning to determine optimal capital structure in international context. (BT 3: Applying, BT 4: Analyzing)
11	International Capital Budgeting Review of Domestic Capital Budgeting The Adjusted Present Value (APV) Model Estimating Future Exchange Rates Risk Adjustment in Capital Budgeting Real Options in FDI Decisions	Developing skills in evaluating international projects considering various risks. (BT 4: Analyzing, BT 5: Evaluating)
12	Multinational Cash Management Management of International Cash Balances Bilateral Netting and Cash Pooling Transfer Pricing and Related Issues BTocked Funds and Repatriation Challenges	Understanding complexities of managing multinational cash flows. (BT 3: Applying, BT 4: Analyzing)
13	International Trade Finance Foreign Trade Transaction Government Assistance in Exporting Countertrade and Barter Transactions	Mastering international trade finance instruments and techniques. (BT 3: Applying, BT 4: Analyzing))
14	International Tax Environment Fundamentals of International Taxation Worldwide Taxation vs. Territorial Taxation Transfer Pricing and Tax Havens	Developing awareness about contemporary issues in international finance and their impact on global financial decisions. (BT 3: Applying, BT 4: Analyzing)

Textbook References:

International Financial Management, Cheol S Eun and Bruce G Resnick, Fourth Edition, McGraw Hill
International, Thomas J. O’brien, Second Edition, Oxford University Press
International Financial Management, P G Apte, Latest Edition, Tata McGraw Hill

Other References:

International Finance: Theory and Practice, P. Sercu, Latest Edition, Princeton University Press
Multinational Business Finance, Eiteman, Stonehill, and Moffett, Latest Edition, Pearson Education
International Financial Markets and Securities, BTake, Latest Edition, Routledge
Global Corporate Finance, Suk Kim and Seung Kim, Latest Edition, Wiley

(BToom’s Taxonomy: BT level 1: Remembering; BT level 2: Understanding; BT level 3: Applying; BT level 4: Analyzing; BT level 5: Evaluating; BT level 6: Creating)

Human Resource Planning and Development LMB0342

MU CODE MBA SYLLABUS

Course Code: LMB0342

Course Title: Human Resource Planning and Development (4 Credits)

Course Objectives: –

Ø Provide a comprehensive understanding of the concepts and practices of Human Resource Planning (HRP) and Development.

Ø Develop analytical and strategic thinking skills for workforce planning and managing talent.

Ø Equip students with the ability to design and evaluate HR development programs.

Ø Enable students to analyze HR challenges and apply innovative solutions for organizational growth.

Ø Enhance students’ ability to link HR planning with overall business strategies effectively.

Course Content

S. No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Human Resource Planning: Definition, objectives, and scope of HRP; Process of HRP; Importance of HRP in achieving business goals	Understand the concept, objectives, and scope of HRP (BT Level 2). Analyze the role of HRP in achieving organizational goals (BT Level 4).
2	Unit 2: Factors effecting HRP: Internal and external factors affecting HRP; Technological, economic, social, and legal influences on HRP	Analyse external and internal factors influencing HRP (BT Level 4).
3	Unit 3: Forecasting HRP: Techniques for forecasting demand and supply; Workforce gaps and strategies to balance them	Apply quantitative and qualitative methods for workforce forecasting (BT Level 3). Evaluate strategies for balancing demand and supply (BT Level 5).
4	Unit 4: Job Analysis and Design: Methods of job analysis; Writing job descriptions and job specifications; Designing jobs for productivity and satisfaction	Understand the techniques and tools of job analysis (BT Level 2). Create effective job descriptions and specifications (BT Level 6).
5	Unit 5: Strategic Human Resource Planning: Linking HRP with business strategy; HR strategy models; Workforce optimization	Evaluate the alignment of HRP with business strategies (BT Level 5). Design HR strategies for organizational success (BT Level 6).
6	Unit 6: Career Planning and Development: Career stages and models; Career development tools and programs; Employee engagement through career growth	Understand career stages and planning models (BT Level 2). Develop career development initiatives for employees (BT Level 6).
7	Unit 7: Succession Planning in HRP: Importance of succession planning; Identifying and nurturing talent for key positions; Best practices in succession management	Evaluate succession planning models and best practices (BT Level 5). Create succession plans for key roles (BT Level 6).
8	Unit 8: Training Needs Assessment (TNA): Identifying training needs; Techniques for assessing gaps; Linking TNA with organizational goals	Apply techniques to assess training needs (BT Level 3). Analyze gaps in employee skills and organizational requirements (BT Level 4).
9	Unit 9: Instructional Design and evaluation of training: Principles of instructional design; Methods of delivering training; Evaluating training effectiveness	Understand the principles of instructional design (BT Level 2). Develop customized training modules (BT Level 6).
10	Unit 10: Performance Management Systems (PMS): Elements of PMS; Tools for performance appraisal; Linkage between PMS and organizational performance	Analyze components of an effective PMS (BT Level 4). Evaluate the impact of PMS on employee performance (BT Level 5).
11	Unit 11: Talent Acquisition management: Talent acquisition strategies; Retention challenges and strategies; Importance of employee value proposition	Understand the significance of talent management in HRP (BT Level 2). Develop retention strategies for key talent (BT Level 6).
12	Unit 12: HR Analystics: Key HR metrics; Using analytics for HR decision-making; Predictive analytics in workforce planning	Apply HR analytics for workforce planning (BT Level 3). Evaluate metrics for measuring HR effectiveness (BT Level 5).
13	Unit 13: International HR Planning: Global workforce trends; Cultural and legal challenges in international HRP; Managing expatriates	Understand challenges in global HRP (BT Level 2). Analyze international workforce trends and practices (BT Level 4).
14	Unit 14: Emerging trends in Human Resource Planning: Emerging technologies in HRP; Impact of AI and automation; Sustainable HR practices; HR’s role in remote and hybrid work models	Evaluate emerging trends such as AI, remote work, and the gig economy (BT Level 5). Create strategies to adapt HRP to future challenges (BT Level 6).

Textbooks:

Dessler, G. (2020). Human Resource Management. References: Armstrong, M. (2014). A Handbook of Human Resource Management Practice.
Mathis, R. & Jackson, J. (2019). Human Resource Management.
Cascio, W. (2022). Managing Human Resources.
Bratton, J., & Gold, J. (2017). Human Resource Management: Theory and Practice.

References:

Ulrich, D. (2013). HR from the Outside In.
Bersin, J. (2021). Future of Work: HR Predictions for the New Decade.
Dowling, P. J., & Welch, D. E. (2019). International Human Resource Management.
Fitz-enz, J. (2017). The New HR Analytics.
Collings, D. G., &Mellahi, K. (2022). Global Talent Management.

Labour Law LMB0343

Course Code:LMB0343

Course Title:Labour Law(4 Credits)

Course Objectives: –

Ø Remember some of the basic definitions and principles of industrial relations that relate to its objectives and evolutionary labour legislation.

Ø Understand key laws related to industrial relations, workers’ participation, and grievance handling.

Ø Apply labour legislation and framework to case study and scenario application in their interpretation within the workplace

Ø Analyse complex legal circumstances like collective bargaining and industrial disputes on the impact made in the employee-organization relations.

Ø Assess the effectiveness of labor laws on employment conditions, social security, and disciplinary practices in organizations.

Course Contents

Sr. No.	Unit No./ Unit description	Learning Outcome
1	Unit 1- Overview of Industrial relations:Meaning, Definitions, Characteristics, Factors Affecting IR, Approaches to IR, Participation in IR, Objectives of IR and Human Relations, IR and Productivity, Various Dimensions of IR, Evolution of labour legislation, Impact of ILO on labour legislation and Indian Constitution	Students will be able to define industrial relations, explain key factors affecting IR, and analyze the impact of ILO and the Indian Constitution on labour legislation. (BTL 1, 2 & 3 – Remembering, Understanding & Applying)
2	Unit 2- Laws relating to industrial Relations- Trade Union Concepts of trade union, types of Trade union in India, Movement of trade union in India, Registered& Recognized union, Central trade Union Organization (CTUOS), challenges of Multiplicity of union.	Students will be able to describe the concept and types of trade unions in India, evaluate the trade union movement, and understand challenges related to multiple unions. (BTL 1 & 2 – Remembering & Understanding)
3	Unit 3- Laws relating to industrial Relations- Trade Union Act,1926 Object of Act, Registration o trade union, Legal status of registered trade union, Mode of registration, Power & duties of registrar, Cancellation & dissolution of trade union, Procedure to change name, Amalgamation of trade union	Students will be able to explain the objectives of the Trade Union Act, analyze the registration process, and assess the legal status and rights of registered trade unions. (BTL 2 & 3 – Understanding & Applying)
4	Unit 4- Laws relating to industrial Relations- Industrial Dispute Act,1947: Introduction, Objectives, Definitions , Prevention & settlement machinery of IR, Various Methods and Various Authorities under the Act for resolution of industrial disputes e.g. methods of conciliation, adjudication and voluntary arbitration, Authorities like Works Committee, Conciliation officer, Court of Enquiry, Labor Court, Industrial Tribunal, National Tribunal , Provisions with respect to Strikes and Lockouts, Layoff and retrenchment, Special provisions relating to layoff, retrenchment and closure, Offences and penalties, unfair labor practices, etc. Important Supreme Court Cases on industry, workman, strikes, retrenchment.	Students will be able to analyze industrial dispute resolution mechanisms, evaluate provisions related to strikes, lockouts, layoffs, retrenchments, and examine Supreme Court cases on industrial disputes. (BTL 2, 3 & 4 – Understanding, Applying & Analyzing)
5	Unit 5- Case study on Maruti Suzuki strike Discussion of Maruti Suzuki strike followed by question answer	Students will be able to discuss and analyze the Maruti Suzuki strike, apply industrial relations concepts, and evaluate dispute resolution mechanisms. (BTL 2 & 3 – Understanding & Applying)
6	Unit 6- Worker participation Management: Concept, Objectives, evolution f WPM, Statutory and Non-Statutory Forms of WPM, Level of WPM, Assessment of WPM in India, Necessary conditions for effective working of WPM	Students will be able to explain the concept and levels of WPM, evaluate statutory and non-statutory forms, and assess its effectiveness in India. (BTL 1, 2, 3 & 4 – Remembering, Understanding, Applying & Analyzing)
7	Unit 7- Grievance Handling: Meaning, definition, Causes, Importance of grievance handling, Formal Grievance handling mechanism. Sexual harassment of women in workplace Nature of problem, Supreme Court’s guidelines on this issue	Students will be able to define grievance handling mechanisms, analyze causes of workplace grievances, and evaluate Supreme Court guidelines on sexual harassment at the workplace. (BTL 1, 2 & 3 – Remembering, Understanding & Applying)
8	Unit 8- Discipline–Meaning and definitions, Characteristics of discipline, Objectives of discipline Code of Discipline o Disciplinary proceedings – procedure for disciplinary action – Misconduct – Charge sheet – service of charge sheet – power to suspend pending enquiry – procedure to conduct a Domestic Enquiry -Report of the enquiry officer – punishment intervention by a tribunal.	Students will be able to analyze the characteristics and objectives of workplace discipline, evaluate disciplinary procedures, and apply legal frameworks for handling misconduct. (BTL 3 & 4 – Applying & Analyzing)
9	Unit 9- Collective Bargaining (CB): Introduction, Definitions, Characteristics, Process of CB, Pre- requisites of a Successful CB, Types, Functions of CB, Factors Obstructing CB, CB in India, Assessment of CB in India, Suggestions for better functioning of CB	Students will be able to explain the process and functions of collective bargaining, analyze its impact on industrial relations, and assess challenges in the Indian context. (BTL 2, 3 & 4 – Understanding, Applying & Analyzing)
10	Unit 10– Legislations relating to employment and working conditions-Industrial employment (standing orders) Act,1946 Introduction, Object f act, Definitions, Model Standing Orders, Procedure for approval of standing orders, appeal, modification of standing orders, Certifying Officer, subsistence allowance, Offences and penalties	Students will be able to evaluate the role of standing orders in industrial employment, assess the procedure for approval, and analyze penalties for non-compliance. (BTL 4 & 5 – Analyzing & Evaluating)
11	Unit 11- Legislations relating to employment and working conditions-Factory Act, 1948 Object of act, definitions, Provisions regarding o Health, safety, Welfare of workers, hazardous processes, working hours, restriction on employment of women and children, annual leave with wages, offences and penalties Legislations relating to employment and working conditions-contract labour (Regulation and abolition) Act 1970 Application, Establishments, Definitions, jurisdiction of government, Central and State advisory boards, Registration of establishments and licensing of contractors, Prohibition of employment of contract labor, Welfare and health of contract labor, Liabilities of the Principal employer, Inspecting Staff, offences and penalties, etc.	Students will be able to analyze health, safety, and welfare provisions under the Factories Act, evaluate contract labour regulations, and assess legal provisions related to employment conditions. (BTL 4 & 5 – Analyzing & Evaluating)
12	Unit 12 Laws relating to remuneration: Payment of wages Act, 1936, Minimum wages Act, 1948 – Payment of Bonus Act, 1965	Students will be able to analyze wage regulations, assess minimum wage standards, and evaluate bonus distribution mechanisms. (BTL 3 & 4 – Applying & Analyzing)
13	Unit 13- Laws relating to social security: Workmen’s compensation Act,1923 – ESI Act, 1948- Employees provident fund and miscellaneous provisions Act,1952	Students will be able to explain social security provisions, assess employer liabilities, and analyze social security benefits for workers. (BTL 3 & 4 – Applying & Analyzing)
14	Unit 14- Laws relating to social security: Maternity benefits Act, – 1961 Payment of gratuity Act, 1972	Students will be able to evaluate maternity and gratuity benefits, assess employee rights under these laws, and create strategies for legal compliance in organizations. (BTL 5 & 6 – Evaluating & Creating)
Text book References: – 1. Mamoria, C.B., SatishMamoria, and S.V Gankar., (1997), Dynamics of Industrial Relations, Himalaya Publishing House, New Delhi 2. C.S. Venkata Ratnam & Manoranjan Dhal , Industrial relations, 2 E, 2017, Oxford publication. 3. P SubbaRaoSatishMamoria , Dynamics of Industrial relations, 2016, Himalaya Publishing house. 4. P.R.N. Sinha, SinhaInduBala , ShekharSeemaPriyadarshini, Industrial Relations, Trade Unions and Labour Legislations, , 3rd edition, 2017, Pearson Education. 5. H L Kumar, Labour Laws Everybody Should Know 13th Edition 2024, LAW & JUSTICE PUBLICATION. OtherReferences (Journals/ periodical, /magazine/ web resource): 1. Journal of Management of Industrial Relations, Human Capital 2. e-bulletin: Available on ICSI website – www.icsi.edu 3. Chartered Secretary: The ICSI, New Delhi-110 003. (Monthly) 4. All India Reporter: All India Reporter Ltd., Congress Nagar, Nagpur D.O. Sethi J: Commentaries of lndustrial Disputes Act, 1947. Vol., 1& 2, Law Publishing House, Allahabad. 5. ILI.: Labour Law and Labour relations Cases and Materials, (Edited by Anand Prakash. S.C. Srivatsava, P. Kalpakam), N.M.Tripati Pvt. Ltd , Bombay. 6. K.D. Srivatsava: The Law of Industrial Disputes. NOTE: All learning outcomes are based on six levels of Bloom’s Taxonomy.

Sales and Distribution Management LMB0344

Course Code: LMB0344

Course Title:Sales and Distribution Management (4Credits)

Course Objectives: –

Ø Understand the fundamental principles of sales and distribution management.

Ø Learn the strategies and processes involved in managing a sales force effectively.

Ø Analyse distribution channels and their significance in ensuring product availability.

Ø Develop skills in sales planning, forecasting, and territory management.

Ø Explore the role of technology and analytics in sales and distribution operations.

COURSE CONTENTS

Sr. No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Sales Management: Definition, Objectives, Role of sales in marketing, Personal selling process, Sales strategies	Students will be able to define sales management, explain its objectives, and describe the role of sales in marketing, personal selling, and sales strategies. (BT 1 & 2 – Remembering & Understanding)
2	Unit 2: Sales Forecasting and Planning: Importance of sales forecasting, Methods of forecasting, Sales planning and budgeting	Students will be able to understand the importance of sales forecasting, apply different forecasting methods, and develop sales planning and budgeting strategies. (BT 2 & 3 – Understanding & Applying)
3	Unit 3: Sales Organization and Territory Management: Designing the sales organization, Territory alignment, Territory design, Sales quota management	Students will be able to apply sales organization design principles, align sales territories, and manage sales quotas effectively. (BT 3 – Applying)
4	Unit 4: Sales Force Management: Recruitment, Selection, Training, and Development of the sales force, Performance evaluation, Motivation techniques	Students will be able to apply recruitment, selection, training, and development techniques for sales teams and analyze motivation and performance evaluation methods. (BT3 & 4 – Applying &Analyzing)
5	Unit 5: Sales Negotiation and Relationship Management: Key negotiation skills, Relationship building, Key account management	Students will be able to apply key negotiation skills, build strong customer relationships, and analyze key account management strategies. (BT 3 & 4 – Applying &Analyzing)
6	Unit 6: Distribution Management: Definition and importance, Role of distribution in the marketing mix, Functions of intermediaries, Designing distribution channels	Students will be able to understand the role of distribution in marketing, analyze functions of intermediaries, and apply principles for designing effective distribution channels. (BT 2 & 3 – Understanding & Applying)
7	Unit 7: Channel Dynamics and Conflict Management: Channel power, Channel conflict and resolution strategies, Collaboration between channel partners	Students will be able to analyze channel power, identify sources of channel conflict, and apply resolution strategies for better collaboration among channel partners. (BT 3 & 4 – Applying &Analyzing)
8	Unit 8: Retailing and Wholesaling: Retail formats, Trends in retailing, Role of wholesalers, Supply chain management in retail and wholesale	Students will be able to apply concepts of retail and wholesale management, analyze emerging retail trends, and evaluate supply chain strategies in retail and wholesale businesses. (BT 3 & 4 – Applying &Analyzing)
9	Unit 9: Logistics and Distribution Systems: Role of logistics in distribution, Transportation, Warehousing, Inventory management, Reverse Logistics	Students will be able to apply logistics and distribution management concepts, analyze transportation, warehousing, inventory control, and reverse logistics strategies. (BT 3 & 4 – Applying &Analyzing)
10	Unit 10: E-commerce and Digital Distribution: Role of e-commerce in distribution, Direct-to-consumer models, E-distribution channels	Students will be able to evaluate the role of e-commerce in distribution, analyze direct-to-consumer models, and assess the impact of digital distribution channels. (BT 4 & 5 – Analyzing& Evaluating)
11	Unit 11: Sales Promotion and Distribution Strategy: Types of sales promotions, Push and pull strategies, Channel promotion techniques	Students will be able to analyze different types of sales promotions, assess push and pull strategies, and evaluate channel promotion techniques. (BT 4 – Analyzing)
12	Unit 12: Legal and Ethical Issues in Sales and Distribution: Legal framework, Ethical considerations in sales, Regulatory issues in distribution	Students will be able to analyze the legal framework and ethical considerations in sales, evaluate regulatory issues, and assess compliance in distribution. (BT 4 & 5 – Analyzing& Evaluating)
13	Unit 13: International Sales and Distribution: Global sales strategies, international distribution channels, Challenges in global distribution	Students will be able to analyze global sales strategies, evaluate international distribution models, and assess challenges in global distribution. (BT 4 & 5 – Analyzing& Evaluating)
14	Unit 14: Future Trends in Sales and Distribution: Impact of technology on sales and distribution, AI and analytics in sales, Omnichannel distribution, Sustainable distribution practices	Students will be able to evaluate the impact of technology on sales and distribution, assess the role of AI and analytics, and create sustainable omnichannel distribution strategies. (BT 5 & 6 – Evaluating & Creating)

Textbook References:

Still, Cundiff, and Govoni, “Sales Management: Decisions, Strategies, and Cases,” Pearson.
S.L. Gupta, “Sales and Distribution Management,” Excel Books.
Panda and Sahdev, “Sales and Distribution Management,” Oxford University Press.
Tapan Panda, “Marketing Management: Sales and Distribution Management,” Excel Books.

Other References:

Relevant online resources, case studies, and industry reports on sales and distribution management.
Current articles and research papers related to sales management and distribution strategies.

(Bloom’s Taxonomy: BT level 1: Remembering; BT level 2: Understanding; BT level 3: Applying; BT level 4: Analyzing; BT level 5: Evaluating; BT level 6: Creating)

Consumer Behaviour LMB0345

Course Code: LMB0345

Course Title:Consumer Behaviour (4 Credits)

Course Objectives: –

Ø To understand the psychological, social, and cultural factors influencing consumer behaviour.

Ø To analyze the decision-making processes of consumers.

Ø To evaluate the impact of digital transformation on consumer behaviour.

Ø To apply consumer behaviour theories and concepts in the development of marketing strategies.

COURSE CONTENTS

S.No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Consumer Behaviour: Definition, scope, importance of consumer behaviour, evolution of the field, interdisciplinary nature.	Students will be able to define consumer behaviour, explain its scope and importance, and understand its interdisciplinary nature and evolution. (BT 1 – Remembering)
2	Unit 2: Consumer Decision-Making Process: Stages of decision-making, models of consumer decision-making, factors influencing decisions.	Students will be able to describe the stages of the consumer decision-making process, analyze different models, and understand key influencing factors. (BT 2 – Understanding)
3	Unit 3: Psychological Factors: Perception, learning, motivation, beliefs, attitudes, and their influence on consumer behaviour.	Students will be able to explain how perception, learning, motivation, beliefs, and attitudes shape consumer behaviour and apply these concepts to real-world scenarios. (BT 2 & 3 – Understanding & Applying)
4	Unit 4: Consumer Attitudes and Change: Formation of consumer attitudes, attitude change theories, strategies to influence attitudes.	Students will be able to analyze the formation of consumer attitudes, apply attitude change theories, and develop strategies to influence consumer perceptions. (BT 3 & 4 – Applying &Analyzing)
5	Unit 5: Social and Cultural Influences: Impact of family, reference groups, social class, culture, subculture on consumer behaviour.	Students will be able to evaluate the impact of family, reference groups, social class, and culture on consumer behaviour. (BT 4 – Analyzing)
6	Unit 6: Personal Factors and Lifestyles: Influence of personal factors such as age, gender, lifestyle, and life cycle stage on consumer behaviour.	Students will be able to analyze the influence of personal factors such as age, gender, lifestyle, and life cycle stage on consumer purchasing decisions. (BT 4 – Analyzing)
7	Unit 7: Consumer Research: Techniques for conducting consumer research, qualitative and quantitative methods, and data analysis.	Students will be able to apply qualitative and quantitative consumer research methods, analyze consumer data, and interpret insights for marketing decision-making. (BT 4 & 5 – Analyzing& Evaluating)
8	Unit 8: Consumer Behaviour in the Digital Age: Impact of the internet and social media on consumer behaviour, e-commerce, online decision-making.	Students will be able to evaluate the impact of digital platforms, social media, and e-commerce on consumer decision-making. (BT 3, 4 & 5 – Applying, Analyzing& Evaluating)
9	Unit 9: Consumerism and Ethics: Ethical issues in consumer behaviour, consumer rights, the role of consumer protection organizations.	Students will be able to analyze ethical issues in consumer behaviour, evaluate consumer rights, and assess the role of consumer protection organizations. (BT 4 & 5 – Analyzing& Evaluating)
10	Unit 10: Global Consumer Behaviour: Cross-cultural consumer behaviour, global marketing strategies, consumer behaviour in emerging markets.	Students will be able to assess cross-cultural consumer behaviour, evaluate global marketing strategies, and analyze consumer behaviour in emerging markets. (BT 4 & 5 – Analyzing& Evaluating)
11	Unit 11: Innovation Adoption and Diffusion: Theories of innovation adoption, diffusion of innovations, factors affecting adoption of new products.	Students will be able to analyze innovation adoption theories, evaluate diffusion of innovations, and assess factors affecting the adoption of new products. (BT 4 & 5 – Analyzing& Evaluating)
12	Unit 12: Case Studies and Applications: Analysis of real-world cases in consumer behaviour, and development of marketing strategies based on consumer insights.	Students will be able to evaluate real-world consumer behaviour cases, develop marketing strategies based on consumer insights, and create innovative solutions for market challenges. (BT 5 & 6 – Evaluating & Creating)

Textbook References:

Schiffman, L.G., & Kanuk, L.L. (2020). Consumer Behavior. Pearson Education.
Solomon, M.R. (2019). Consumer Behavior: Buying, Having, and Being. Pearson.
Blackwell, R.D., Miniard, P.W., & Engel, J.F. (2018). Consumer Behavior. Cengage Learning.

Other References:

Hawkins, D.I., Mothersbaugh, D.L., & Best, R.J. (2020). Consumer Behavior: Building Marketing Strategy. McGraw-Hill Education.
Assael, H. (2018). Consumer Behavior and Marketing Action. Cengage Learning.
Kotler, P., & Keller, K.L. (2020). Marketing Management. Pearson Education.

(Bloom’s Taxonomy: BT 1: Remembering; BT 2: Understanding; BT 3: Applying; BT 4: Analyzing; BT 5: Evaluating; BT 6: Creating)

Introduction to Supply Chain Management LMB0346

Introduction to Supply Chain Management

Course Code: LMB0346

Course Title:Introduction to Supply Chain Management(4 Credits)

Course Outcome: –

Ø Demonstrate knowledge of the fundamental principles of logistics and supply chain management, including the flow of goods, services, and information from origin to consumption.

Ø Identify the key concepts and components of network design, including facility location decisions and network operations planning.

Ø Evaluate and select appropriate transportation and distribution strategies to enhance customer satisfaction and reduce costs.

Ø Analyze the structure and functioning of a generalized supply chain model.

Ø Utilize modern technology and data analytics tools to improve supply chain visibility, efficiency, and performance.

Course Contents

Sr. No.	Unit No./ Unit description	Learning Outcome
1	Unit 1- 21st Century Supply Chains Objectives, Introduction, Concepts of Supply Chains, Generalised Supply Chain Model, Value Chain, Supply Chain Effectiveness, Financial Sophistication, Logistics in 21st Century, Summary, Keywords, Review Questions, Further Readings.	Students will be able to Define and understand key concepts of supply chain management (SCM). (BT 1, 2 & 3 – Remembering, Understanding & Applying)
2	Unit2–Introduction to Logistic Objectives, Introduction, Functions of Business Logistics, Competitive Advantage and Logistics, Logistics Interface with Production & Marketing, Logistics Value Proposition, Logistical Operations, Supply Chain Synchronization, Summary, Keywords, Review Questions, Further Readings.	Students will develop an understanding of the core functions of business logistics, its role in creating competitive advantage, and its integration with production and marketing. (BT 2 & 3 – Understanding & Applying)
3	Unit 3- Demand Planning and Forecasting Objectives, Introduction, Demand Forecasting, Collaborative Forecasting, Collaborative Planning, Forecasting and Replenishment (CPFR), Summary, Keywords, Review Questions, Further Readings	Students will develop skills to understand and apply demand forecasting techniques, analyze the importance of collaborative forecasting, and evaluate the benefits of Collaborative Planning. (BT 3 & 4 – Applying & Analyzing)
4	Unit4–Network Design: Introduction to Network Design, Facility Location Decisions, Network Operations Planning, Relevant Costs for Network Decisions, Network Design Decisions, Technology in Network Design, Risk and Resilience in Network Design, Summary, Keywords, Review Questions, Further Readings.	Students will be able to evaluate facility location decisions, apply network design principles, and analyze risks and resilience in network operations. (BT 4 & 5 – Analyzing & Evaluating)
5.	Unit5-–Facility Location Decisions Importance of Facility Location Decisions, Factors Affecting Facility Locations, Facility Location Models, Risk Management in Facility Location, Summary, Keywords, Review Questions, Further Readings	Students will be able to assess factors influencing facility locations, apply facility location models, and evaluate risk management strategies in facility decision-making. (BT 3, 4 & 5 – Applying, Analyzing & Evaluating)
6	Unit6:Warehousing and DistributionCenters Warehousing Introduction, Definition of Warehousing, Types of Warehousing, Warehousing and Distribution Centers, Function of a Warehouse, Summary, Keywords, Review Questions, Further Readings.	Students will be able to define warehousing, differentiate between types of warehouses, and analyze the functions of warehousing and distribution centers in supply chain operations. (BT 2, 3 & 4 – Understanding, Applying & Analyzing)
7	Unit 7- –Information Technology Framework Objectives, Introduction, Information Functionality – The Supply Chain, Principles of Logistics Information, Comprehensive Information System Integration, Communication Technology, Summary, Keywords, Review Questions, Further Readings.	Students will be able to evaluate IT functionalities in the supply chain, analyze logistics information systems, and assess the impact of communication technologies on supply chain integration. (BT 4 & 5 – Analyzing & Evaluating)
8	Unit8-Inverntory Management Inventory Management: Inventory Definition, Types of Inventory, Inventory Importance, Cost Associated with Inventory Management, Push vs Pull Inventory Control, Summary, Keywords, Review Questions, Further Readings.	Students will be able to classify types of inventory, analyze inventory costs, and apply push vs. pull inventory control techniques. (BT 3 & 4 – Applying & Analyzing)( Understand)
9	Unit 9-Transportation Objectives, Introduction, Transportation Infrastructure, Transport Functionality & Principles, Transport Structure, Summary, Keywords, Review Questions, Further Readings.	Students will be able to analyze transportation infrastructure, evaluate transport functionality, and assess the role of transportation in supply chain efficiency. (BT 3 & 4 – Applying & Analyzing)
10	Unit 10-Packaging and Material Handling Objectives, Introduction, Packaging Perspectives, Packaging for Material Handling Efficiency, Materials Handling, Summary, Keywords, Review Questions, Further Readings.	Students will be able to evaluate packaging techniques, analyze material handling efficiency, and assess the role of packaging in supply chain management. (BT 4 & 5 – Analyzing &Evaluating)
11.	Unit 11–Supply Chain Management Objectives, Introduction, Push & Pull Based Supply Chain, Collaborative Issues in SCM, IT in Supply Chain Management, Summary, Keywords, Review Questions, Further Readings	Students will be able to differentiate between push and pull supply chains, assess IT applications in supply chain management, and analyze collaborative issues in supply chain integration. (BT 4 & 5 – Analyzing & Evaluating)
12.	Unit 12-Supply Chain Strategies Objectives, Introduction, Agile Supply Chains, Responsive Supply Chains, Reverse Logistics, Green Supply Chains, Summary, Keywords, Review Questions, Further Readings.	Students will be able to evaluate agile and responsive supply chains, assess the impact of reverse logistics, and analyze the role of green supply chains in sustainability. (BT 4 & 5 – Analyzing & Evaluating)
13.	3PL & 4PL Logistics& Customer Service MeasuringLogisticsPerformance 3PL & 4PL Logistics & Customer Service Measuring Logistics Performance: Objectives, Introduction, 3PL Logistics, 4PL Logistics, Customer Service, Measuring Logistics Performance, Summary, Keywords, Review Questions, Further Readings	Students will be able to differentiate between 3PL and 4PL logistics, assess customer service strategies, and apply logistics performance measurement techniques. (BT 4 & 5 – Analyzing & Evaluating)
14.	Unit 14-International Supply Chain Management Objectives, Introduction, Introduction to Supply Chain Management, Supply Chain Network Design for Global Operations, Risk Management in International Supply Chain Management, Summary, Keywords, Review Questions, Further Readings.	Students will be able to analyze global supply chain network design, evaluate risk management strategies in international supply chains, and create innovative solutions for global logistics operations. (BT 4, 5 & 6 – Analyzing, Evaluating & Creating)
Text book References: – 1.RonaldH.Ballou,SamirK.Srivastava(2012).BusinessLogistics/SupplyChainManagement. Pearson Education 2.M.Christopher(2011).LogisticsandSupplyChainManagement.SecondEdition,Pearson Education. 3.Bowersox, D.J. and D.J. Closs, Logistical Management: The Integrated Supply Chain Process, 4.McGraw Hill, 1996 Donald Waters. Logistics-An Introduction to SCM , Palgrave, 2003 5.Jones, J.V., Integrated Logistics Support Handbook, Special Reprint Ed., McGrawHill, 1998

Retail logistics LMB0347

Course Code: LMB0347

Course Title: Retail logistics(4 Credits)

Course Objectives: –

Ø To understand the foundations and components of retail logistics systems.

Ø To develop expertise in inventory management, warehouse operations, and distribution networks.

Ø To explore the application of technology in enhancing retail logistics efficiency.

Ø To comprehend global and sustainaBTe logistics practices.

Ø To analyse emerging trends and challenges in retail logistics.

Course Content

Sr. No.	Unit Description	Learning Outcome
1	Introduction to Retail Logistics Define the role of logistics in retail. Discuss the importance of logistics in achieving customer satisfaction. Overview of supply chain and logistics integration. Explain key logistics activities and challenges in retail. Examine the relationship between logistics and retail strategy.	Understanding fundamental concepts of retail logistics and their role in enhancing customer satisfaction. (BT 1: Remembering, BT 2: Understanding)
2	Retail Supply Chain Management Understand the components of the retail supply chain. Explore the dynamics of supply chain relationships. Discuss supply chain integration in retail. Analyze push vs. pull supply chain strategies. Examine challenges in managing global supply chains.	Understanding supply chain components and evaluating their effectiveness in retail logistics. (BT 2: Understanding, BT 5: Evaluating)
3	Demand Forecasting in Retail Logistics Importance of demand forecasting. Methods for demand forecasting in retail. Role of technology in improving forecasting accuracy. Examine challenges in demand forecasting. Study case examples of effective demand forecasting.	Applying demand forecasting methods to retail logistics scenarios and analyzing their accuracy. (BT 3: Applying, BT 4: Analyzing)
4	Inventory Management in Retail Types of inventory in retail logistics. Examine inventory control techniques (EOQ, JIT). Address stockouts and overstock management. Explore the role of inventory optimization in cost reduction. Understand the use of technology in inventory management.	Applying inventory control methods and evaluating their effectiveness in retail operations. (BT 3: Applying, BT 5: Evaluating)
5	Transportation Management Analyze the role of transportation in retail logistics. Identify types of transportation modes. Evaluate cost and time trade-offs in transportation. Understand the importance of route optimization. Assess sustainability in retail transportation.	Understanding transportation modes and creating optimized plans for retail logistics. (BT 2: Understanding, BT 6: Creating)
6	Warehouse and Distribution Management Explore the importance of warehousing in retail. Classify types of warehouses and their functions. Understand warehouse layout and design principles. Examine technologies in warehouse operations. Conduct cost analysis in warehousing.	Analyzing warehouse operations and evaluating distribution strategies. (BT 4: Analyzing, BT 5: Evaluating)
7	Retail Technology in Logistics Explore the role of technology in retail logistics. Understand the use of RFID and barcoding systems. Study automation and robotics in warehousing. Analyze emerging technologies (AI, IoT). Examine challenges in implementing new technologies.	Applying technology solutions in logistics and designing innovative processes. (BT 3: Applying, BT 6: Creating)
8	Reverse Logistics in Retail Define reverse logistics and its importance. Handle returns and recycling in retail. Study cost implications of reverse logistics. Explore sustainability in reverse logistics. Analyze case studies on successful reverse logistics systems.	Understanding reverse logistics processes and evaluating their sustainability. (BT 2: Understanding, BT 5: Evaluating)
9	Retail Logistics Performance Measurement Identify key performance indicators (KPIs) in logistics. Learn techniques for measuring logistics efficiency. Use tools for real-time performance tracking. Explore benchmarking and continuous improvement. Study case examples of performance measurement.	Using KPIs to measure performance and analyzing data for logistics optimization. (BT 3: Applying, BT 4: Analyzing)
10	Global Retail Logistics Understand challenges in global retail logistics. Develop cross-border logistics strategies. Study international trade regulations. Examine the role of global logistics service providers. Identify trends in global retail supply chains.	Understanding global logistics strategies and evaluating their impact on retail operations. (BT 2: Understanding, BT 5: Evaluating)
11	Risk Management in Retail Logistics Identify types of risks in retail logistics. Develop risk mitigation strategies. Study the role of technology in managing risks. Create contingency planning frameworks. Analyze case studies on managing risks effectively.	Analyzing risks in logistics and developing mitigation plans for risk management. (BT 4: Analyzing, BT 6: Creating)
12	Retail Customer Experience and Logistics Assess the impact of logistics on customer experience. Analyze delivery speed and accuracy as competitive advantages. Explore omnichannel logistics and customer satisfaction. Evaluate the role of last-mile delivery. Study examples of logistics-driven customer satisfaction.	Understanding the relationship between logistics and customer experience, and evaluating last-mile strategies. (BT 2: Understanding, BT 5: Evaluating)
13	Green and SustainaBTe Logistics Explore principles of sustainability in logistics. Study ways to reduce carbon footprints in transportation. Understand sustainaBTe packaging and distribution methods. Learn about green technologies in retail logistics. Assess regulatory compliance for sustainability practices.	Applying sustainaBTe practices in logistics and evaluating their environmental impact. (BT 3: Applying, BT 5: Evaluating)
14	Future Trends in Retail Logistics Identify emerging trends and innovations. Study the role of AI, BTockchain, and big data. Explore predictive analytics in logistics. Understand digital transformation in retail logistics. Prepare for future disruptions in the logistics industry.	Identifying emerging trends and creating strategic plans for future logistics challenges. (BT 1: Remembering, BT 6: Creating)

Textbooks

Retail Supply Chain Management: Quantitative Models and Empirical Studies by Narendra Agrawal and Stephen A. Smith
Logistics and Retail Management: Emerging Issues and New Challenges in the Retail Supply Chain by John Fernie and Leigh Sparks
Supply Chain Management for Retailing by Ray R. Venkataraman and Omkarprasad S. Vaidya

Reference Books

Introduction to Logistics Systems Management by Gianpaolo Ghiani, Gilbert Laporte, and Roberto Musmanno
The Handbook of Logistics and Distribution Management by Alan Rushton, Phil Croucher, and Peter Baker
Strategic Supply Chain Management: The Five Disciplines for Top Performance by Shoshanah Cohen and Joseph Roussel
SustainaBTe Logistics and Supply Chain Management by David B. Grant, Alexander Trautrims, and Chee Yew Wong

(BToom’s Taxonomy: BT level 1: Remembering; BT level 2: Understanding; BT level 3: Applying; BT level 4: Analyzing; BT level 5: Evaluating; BT level 6: Creating)

Financial Analytics LMB0348

Course Code: LMB0348

Course Title: Financial Analytics(4 Credits)

Course Objectives: –

Ø To understand the principles and components of financial analytics systems

Ø To develop expertise in financial data analysis, predictive modeling, and decision-making.

Ø To explore the application of technology in financial analytics.

Ø To comprehend risk management and sustainability in financial operations.

Ø To analyze emerging trends and innovations in financial analytics

Course Content

Sr. No.	Unit Description	Learning Outcome
1	Unit 1: Introduction to Financial Analytics Definition and scope of financial analytics, Importance of financial analytics in decision-making, Overview of financial data types and sources, Key tools and techniques in financial analytics	Understanding foundational concepts of financial analytics and their role in strategic decisions. (BT 1: Remembering, BT 2: Understanding)
2	Unit 2: Statistical Foundations for Financial Analytics Statistical methods used in financial analysis (mean, variance, correlation), Basics of time-series analysis, Regression analysis and hypothesis testing, Case examples of statistical applications in finance.	Applying statistical techniques to evaluate financial data. (BT 3: Applying, BT 4: Analyzing)
3	Unit 3: Corporate Financial Analytics Analysis of financial statements (balance sheets, income statements, cash flow statements), Financial ratios and performance metrics, Profitability, liquidity, and efficiency analysis.	Evaluating corporate financial health using analytical techniques. (BT 4: Analyzing, BT 5: Evaluating)
4	Unit 4: Investment Analytics Basics of portfolio theory, Risk-return analysis and diversification, Asset pricing models (CAPM, multifactor models).	Understanding investment strategies and applying optimization techniques. (BT 3: Applying, BT 5: Evaluating)
5	Unit 5: Predictive Analytics in Finance Machine learning applications in finance, Fraud detection and anomaly detection techniques, Customer segmentation and lifetime value models.	Applying predictive analytics techniques to forecast financial outcomes. (BT 3: Applying, BT 6: Creating)
6	Unit 6: Risk Management in Financial Analytics Identifying and categorizing financial risks (market, credit, operational risks), Credit risk scoring models, Stress testing and scenario analysis.	Analyzing risks and designing strategies for mitigation. (BT 4: Analyzing, BT 6: Creating)
7	Unit 7: Emerging Technologies in Financial Analytics BTockchain and cryptocurrency analytics, Big data and its applications in finance, Artificial intelligence and machine learning in trading and modeling, Case studies of innovation in financial technologies.	Exploring the role of emerging technologies in transforming financial analytics. (BT 1: Remembering, BT 6: Creating)
8	Unit 8: SustainaBTe Financial Practices and Analytics Principles of sustainability in finance, ESG (Environmental, Social, and Governance) metrics, Tools for tracking and measuring sustainability in finance.	Evaluating the environmental impact of financial decisions. (BT 5: Evaluating)
9	Unit 9: Algorithmic Trading and Analytics Basics of algorithmic trading, Market microstructure and order types, Backtesting and performance evaluation of trading algorithms.	Designing and analyzing algorithmic trading strategies. (BT 3: Applying, BT 6: Creating)
10	Unit 10: Behavioral Finance Analytics Behavioral biases in financial decision-making, Measuring investor sentiment using data, Applications of behavioral insights in predictive modeling.	Understanding the psychological aspects of financial decisions. (BT 2: Understanding, BT 4: Analyzing)
11	Unit 11: Financial Analytics Tools and Software Overview of popular analytics tools (Excel, Python, R, etc.), Introduction to advanced tools like TaBTeau, SAS, and Power BI, Practical applications using case studies.	Using software tools to perform financial analysis. (BT 3: Applying, BT 5: Evaluating)
12	Unit 12: Ethics and Governance in Financial Analytics Ethical issues in financial modeling, Data privacy and compliance with regulations (e.g., GDPR), Case examples of ethical challenges in finance.	Analyzing ethical dilemmas and governance frameworks in financial analytics. (BT 4: Analyzing, BT 5: Evaluating)
13	Unit 13: Real-Time Financial Analytics Tools for real-time data tracking and visualization, Role of APIs and data feeds in financial systems.	Applying real-time data insights to improve financial decision-making. (BT 3: Applying, BT 6: Creating)
14	Unit 14: Future Trends in Financial Analytics Innovations in financial technologies (quantum computing, DeFi), Predictive trends in global financial markets.	Preparing strategies for future developments in financial analytics. (BT 1: Remembering, BT 6: Creating)

Textbooks

Financial Analytics with R by Mark Bennett and Dirk Hugen.
Machine Learning for Asset Managers by Marcos López de Prado.
Data Science for Business by Foster Provost and Tom Fawcett.

Reference books

Financial Analytics with R by Mark Bennett and Dirk Hugen
Applied Financial Modelling by Mohamed El Alaoui
The Handbook of Financial Risk Management by Thierry Roncalli
Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

Fundamental of AI For Managers LMB0349

Course Code: LMB0349

Course Title: Fundamental of AI For Managers (4 Credits)

Course Objectives: –

Ø To understand the basics of Artificial Intelligence and its impact on modern businesses.

Ø To analyze various AI tools and technologies and their relevance in different industries.

Ø To identify and implement AI-driven decision-making strategies in managerial roles.

Ø To address ethical, legal, and practical considerations associated with AI integration.

Ø To apply AI-based solutions for business optimization and innovation.

Course Content

Unit	Unit Description	Learning Outcome
1	Introduction to Artificial Intelligence Definition and scope of AI, Types of AI (Narrow, General, and Superintelligent AI), History and evolution of AI, Importance of AI for modern managers	Summarize the significance and types of AI, including how AI impacts managerial roles in modern businesses. BT 2: Understand
2	Machine Learning Fundamentals Supervised, unsupervised, and reinforcement learning, Key ML algorithms: regression, classification, clustering, Applications of machine learning in business, Limitations and challenges in machine learning	Differentiate between supervised, unsupervised, and reinforcement learning with relevant business applications. BT 4: Analyze
3	Deep Learning Essentials Introduction to neural networks, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), Applications of deep learning in various industries, Practical limitations and considerations in deep learning	Explain the foundational concepts of neural networks and deep learning models like CNNs and RNNs in solving complex industry challenges. BT 2: Understand
4	Data Science and Data Analytics Understanding the role of data in AI, Data collection, cleaning, and preprocessing, Data visualization tools and techniques, Importance of data-driven decision making	Describe the data analytics process, including data collection, cleaning, and visualization, and its importance for decision-making. BT 2: Understand
5	Natural Language Processing (NLP) Basics of NLP and text processing, Key applications: sentiment analysis, language translation, chatbots, Sentiment analysis and opinion mining, Ethical considerations in NLP	Demonstrate understanding of NLP basics and key applications, such as sentiment analysis and language translation. BT 3: Apply
6	Computer Vision and Image Recognition Introduction to computer vision and its applications, Object detection and image classification, Applications of computer vision in business, Challenges and limitations in image processing	Identify key computer vision techniques, such as object detection, and discuss their use cases in business. BT 1: Remember
7	Robotics Process Automation (RPA) Basics of RPA and how it works, Role of RPA in automating business processes, Comparison with traditional automation, Practical applications and case studies	Explain how RPA automates repetitive tasks and contributes to operational efficiency. BT 2: Understand
8	AI in Customer Relationship Management (CRM) Personalization through AI-driven customer insights, AI in customer service: chatbots and virtual assistants, Predictive analytics for customer behaviour, Real-world examples of AI in CRM	Analyze the role of AI in enhancing customer experience through personalization and predictive analytics. BT 4:Analyze
9	AI in Operations and Supply Chain Management AI applications in inventory management and logistics, Demand forecasting and predictive maintenance, Optimization of supply chain processes, Case studies in AI-driven operational efficiency	Evaluate the impact of AI applications on supply chain processes like inventory management and demand forecasting. BT 5:Evaluate
10	AI in Financial Services Fraud detection using AI, Algorithmic trading and investment strategies, Credit scoring and risk assessment, Ethical concerns in AI-driven finance	Assess the applications of AI in financial services, such as fraud detection and credit scoring. BT 5:Evaluate
11	AI in Human Resources and Recruitment AI in resume screening and candidate selection, Predictive analytics for employee turnover, Ethical issues in AI-driven HR, Case studies in AI for workforce management	Explain AI’s role in enhancing recruitment and HR management processes through predictive analytics. BT 2:Understand
12	AI Ethics and Governance Ethical challenges in AI (bias, privacy, transparency), Legal and regulatory considerations in AI, Responsible AI practices and frameworks, Corporate governance and AI policy	Describe ethical considerations in AI, including bias, privacy, and transparency. BT 2:Understand
13	Emerging Trends in AI Explainable AI (XAI), AI and Internet of Things (IoT), AI in social good and sustainability, Future trends and potential in AI	Identify emerging trends in AI, such as Explainable AI and AI for social good, and discuss their implications. BT 1:Remember
14	Implementing AI in Business Strategy Identifying AI use cases in business, Building AI strategy: team and technology, Challenges in AI implementation and change management, Monitoring, evaluation, and scaling AI initiatives	Formulate and evaluate a strategic AI implementation plan for business, including identifying relevant AI use cases, structuring a capable team, and managing change effectively. BT 6: Create

Textbook References:

“Artificial Intelligence: A Modern Approach”, Stuart Russell, Peter Norvig, 4th Edition, Pearson Education India
Machine Learning: A Practical Approach for Beginners, Sunila Gollapudi, 1st Edition, McGraw Hill India
Deep Learning, Ian Goodfellow, Yoshua Bengio, Aaron Courville, 1st Edition, MIT Press (Indian edition by Shroff Publishers)

Other References:

Python Machine Learning, Sebastian Raschka, Vahid Mirjalili, 3rd Edition, Packt Publishing (Indian reprints available)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, Foster Provost, Tom Fawcett, 1st Edition, O’Reilly Media
Hands-On Artificial Intelligence for Banking, Jeffrey Ng, 1st Edition, Packt Publishing
Natural Language Processing with Python, Steven Bird, Ewan Klein, Edward Loper, 1st Edition, O’Reilly Media (Indian reprints available)

(BT:BT level 1: Remembering; BT level 2: Understanding; BT level 3: Applying; BT level 4: Analyzing; BT level 5: Evaluating; BT level 6: Creating)

Health law, ethics, and Regulations LMB0350

Course Code: LMB0350

Course Title: Health law, ethics, and Regulations (4 Credits)

Course Objectives: –

Ø Understand Key Concepts: Equip students with a comprehensive understanding of the fundamental principles of health law, ethics, and regulations and their impact on healthcare practices.

Ø Analyze Legal Frameworks: Develop the ability to analyze healthcare laws and regulations at national and international levels and evaluate their implications for patients, providers, and organizations.

Ø Apply Ethical Principles: Enable students to apply ethical principles and frameworks to address real-world challenges and dilemmas in clinical and organizational settings.

Ø Navigate Regulatory Compliance: Prepare students to identify, interpret, and implement regulatory standards, accreditation processes, and compliance requirements in healthcare environments.

Ø Anticipate Future Challenges: Foster critical thinking to anticipate emerging trends and challenges in health law and ethics, including advancements in technology and global health governance.

Course Content

S.No.	Unit No./ Unit Description	Learning Outcome
1	Unit 1: Introduction to Health Law and Ethics Definition and scope of health law, the role of ethics in healthcare, relationship between law and ethics in healthcare.	Understand the foundational concepts of health law and ethics and their interplay in healthcare practices. BT 2: Understanding
2	Unit 2: Legal Framework Governing Healthcare Healthcare laws and policies in India and globally, rights and responsibilities of healthcare providers and patients, landmark cases in health law.	Analyze the healthcare legal framework and evaluate its implications for patients and providers. BT 4: Analyze
3	Unit 3: Consent and Confidentiality in Healthcare Informed consent, the legal and ethical aspects of patient confidentiality, exceptions to confidentiality, and challenges in maintaining it.	Explain the principles of informed consent and confidentiality, and apply them to ethical dilemmas in healthcare. BT 3: Apply
4	Unit 4: Medical Negligence and Malpractice Understanding medical negligence, types of malpractice, legal consequences for healthcare providers, and strategies to prevent negligence.	Identify causes of medical negligence and evaluate strategies to prevent malpractice. BT 5: Evaluate
5	Unit 5: Patient Rights and Advocacy Overview of patient rights, importance of advocacy in healthcare, patient grievance mechanisms, and the role of patient representatives.	Understand patient rights and advocate for effective grievance mechanisms in healthcare. BT 2: Understand
6	Unit 6: Ethics in Clinical Decision-Making Principles of biomedical ethics (autonomy, beneficence, non-maleficence, justice), ethical dilemmas in clinical practice, case studies.	Analyze ethical dilemmas in clinical decision-making using biomedical ethical principles. BT 4: Analyze
7	Unit 7: End-of-Life Care and Decision-Making Legal and ethical considerations in palliative care, euthanasia, advanced directives, and withdrawal of life support systems.	Evaluate ethical and legal considerations in end-of-life decision-making and propose appropriate interventions. BT 5: Evaluate
8	Unit 8: Public Health Laws and Policies Legal frameworks for public health initiatives, vaccination laws, regulation of health campaigns, and managing public health emergencies.	Understand public health laws and evaluate their role in managing public health emergencies. BT 2: Understand
9	Unit 9: Healthcare Regulations and Accreditation Standards Overview of healthcare accreditation bodies (NABH, JCI), regulatory compliance in healthcare facilities, and implications of non-compliance.	Explain the role of accreditation and regulatory compliance in healthcare quality improvement. BT 3: Apply
10	Unit 10: Ethical Issues in Healthcare Technology Ethical challenges in telemedicine, AI in healthcare, genetic testing, and emerging technologies’ impact on patient rights and provider responsibilities.	Analyze ethical challenges posed by emerging technologies and their implications for healthcare practices. BT 4: Analyze
11	Unit 11: Intellectual Property Rights in Healthcare Understanding patents, copyright, and trademarks in healthcare, protection of biomedical innovations, and ethical debates surrounding IPR.	Understand intellectual property rights and evaluate their significance in protecting healthcare innovations. BT 5: Evaluate
12	Unit 12: Legal Aspects of Health Insurance Health insurance laws, consumer rights, ethical considerations in health insurance claims, and fraud detection mechanisms.	Explain health insurance laws and ethical considerations in claim management. BT 3: Apply
13	Unit 13: Role of International Organizations in Health Law WHO, World Medical Association, and other bodies’ contributions to global health law, ethical frameworks for international healthcare practices.	Evaluate the contribution of international organizations to global health law and ethics. BT 5: Evaluate
14	Unit 14: Future Challenges in Health Law and Ethics Emerging ethical and legal challenges in healthcare, trends in global health law, and the role of ethics in future healthcare delivery.	Anticipate future ethical and legal challenges in healthcare and propose innovative solutions. BT 6: Create

Textbook References:

1. Pozgar, G. D. (2022). Legal and Ethical Essentials of Health Care Administration (4th ed.). Jones & Bartlett Learning.

2. Fremgen, B. F. (2021). Medical Law and Ethics (6th ed.). Pearson Education.

Other References:

1. Seth, A. (2021). Medical Ethics and Laws for Doctors – Indian Perspective (2nd ed.). Jaypee Brothers Medical Publishers.

2. Harris, D. M., & Allen, S. (2017). Contemporary Issues in Healthcare Law and Ethics (4th ed.). Health Administration Press.

3. Reddy, N. K., & Mohandas, A. (2020). Health Laws in India: With a Critical Perspective (2nd ed.). LexisNexis.

(BT: BT level 1: Remembering; BT level 2: Understanding; BT level 3: Applying; BT level 4: Analyzing; BT level 5: Evaluating; BT level 6: Creating)

Introduction to Machine Learning and Basic Technology LMB0353

Introduction to Machine Learning and Basic Technology Syllabus

Course Code: LMB0353

Course Title:Introduction to Machine Learning and Basic Technology(4 Credits)

Course Objectives:

Ø Understand core machine learning principles and algorithms.

Ø Gain proficiency in handling data, pre-processing, and feature engineering.

Ø Develop skills in data preparation for ML.

Ø Understand the role of technology infrastructure in ML.

Ø Recognize ethical and strategic uses of ML in business.

Course Contents

Sr. No.	Unit No./ Unit description	LearningOutcome
1	*Unit 1- Introduction: Concept of Machine learning; Need for study, Overview of machine learning concepts and applications,* Difference between AI, ML, and deep learning.	Students will be able to define the concept of machine learning, explain its importance, and differentiate between AI, ML, and deep learning. (BT 1 – Remembering)
2	*Unit 2-Types of Machine learning**:Types of learning: supervised, unsupervised, semi-supervised, and reinforcement learning*	Students will be able to describe different types of machine learning, including supervised, unsupervised, semi-supervised, and reinforcement learning. (BT 2 – Understanding)
3	*Unit 3-* *Introduction to Information Technology in Business*Concept and Types,Overview of Information Technology (IT) and its role in business, The evolution of business technology and its impact on operations.	Students will be able to explain the role of information technology in business, analyze its evolution, and evaluate its impact on business operations. (BT 2 – Understanding)
4	*Unit 4-Data Storage, Databases, and Big Data*** Basics of data storage systems and database management.Introduction to relational and NoSQL databases.Overview of Big Data: concepts, tools, and business applications.	Students will be able to apply knowledge of data storage systems, relational and NoSQL databases, and analyze the role of Big Data in business applications. (BT 3 – Applying)
5	*Unit 5-* *Data Visualization*Importance of data visualization in decision-making,Tools for data visualization (Excel, Tableau, Power BI),Basic principles of effective visualization	Students will be able to demonstrate the importance of data visualization, compare visualization tools (Excel, Tableau, Power BI), and apply basic principles of effective visualization. (BT 3 – Applying)
6	*Unit 6-* *Key Algorithms in Machine Learning*Introduction to linear regression, Basics of classification algorithms (e.g., decision trees), Clustering techniques overview (e.g., k-means).	Students will be able to analyze key machine learning algorithms, including linear regression, decision trees, and clustering techniques. (BT 4 – Analyzing)
7	*Unit 7-* *Cloud Computing Basics*What is cloud computing? Types of cloud services (IaaS, PaaS, SaaS).Advantages of cloud computing for machine learning.Overview of popular cloud platforms (AWS, Azure, Google Cloud).	Students will be able to evaluate cloud computing concepts, compare cloud service models (IaaS, PaaS, SaaS), and analyze the advantages of cloud computing for machine learning. (BT 4 – Analyzing)
8	*Unit 8-*.Introduction to AI and Robotics in BusinessBasics of artificial intelligence and its branches, Overview of robotic process automation (RPA), Application of RPA in business processes	Students will be able to explain the basics of artificial intelligence and robotic process automation (RPA) and analyze its applications in business. (BT 2 – Understanding)
9	*Unit 9-* *Machine Learning in Business Analytics*Role of machine learning in predictive analytics, Case studies of machine learning in business forecasting.Importance of real-time data for decision-making.	Students will be able to apply machine learning techniques in predictive analytics, analyze case studies, and assess the role of real-time data in business decision-making. (BT 4 – Analyzing)
10	*Unit 10-* *Basic Technology for Machine Learning*Overview of programming languages (Python, R), Introduction to Jupyter Notebooks, Common machine learning libraries (e.g., Scikit-Learn, TensorFlow basics).	Students will be able to evaluate the use of programming languages (Python, R), demonstrate working with Jupyter Notebooks, and apply machine learning libraries such as Scikit-Learn and TensorFlow. (BT 5 – Evaluating)
11	*Unit 11-Ethics in Machine Learning and AI***Ethical considerations in AI and machine learning, Bias in machine learning models and fairness, Data privacy and security issues	Students will be able to analyze ethical concerns in AI, including bias, fairness, data privacy, and security issues in machine learning models. (BT 4 – Analyzing)
12	*Unit 12-* *Introduction to Natural Language Processing (NLP):* Basics of NLP and text analysis, NLP applications in business (chat bots, sentiment analysis), Overview of key NLP techniques (tokenization, stemming).	Students will be able to apply NLP techniques, explain text analysis methods, and assess business applications of NLP, including chatbots and sentiment analysis. (BT 5 – Evaluating)
13	*Unit 13-* *Business Applications of Machine Learning*Machine learning for customer segmentation.Fraud detection and risk management.Supply chain and inventory optimization.	Students will be able to understand machine learning applications in customer segmentation, fraud detection, risk management, and supply chain optimization. (BT 2 – Understanding)
14	*Unit 14-Future Trends in Machine Learning and Technology***Emerging trends in machine learning (AutoML, explainable AI).,AI and machine learning in the digital economy, Challenges and future scope of machine learning in business.	Students will be able to evaluate emerging trends in machine learning, such as AutoML and explainable AI, and create strategic insights into the future of AI in business. (BT 6 – Creating)
Text book References: – Machine Learning for Absolute Beginners” by Oliver Theobald “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking“by Foster Provost and Tom Fawcett OtherReferences: – “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” by Eric Siegel “Artificial Intelligence in Practice” by Bernard Marr “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by AurélienGéron NOTE:All learning outcomes are based on six levels of Bloom’s Taxonomy.

Data Science and Management LMB0354

Data Science and Management

Syllabus

Course Code: LMB0354

Course Title:Data Science and Management(4 Credits)

Course Objectives:

Ø Understand key concepts of data science and its role in business.

Ø Utilize basic data management and data visualization tools.

Ø Apply statistical techniques for business data analysis.

Ø Explore predictive modelling and machine learning techniques for decision-making.

Ø Develop insights from data for strategic business management.

Course Contents

Sr. No.	Unit No./ Unit description	Learning Outcome
1	Unit 1- Introduction: Introduction to Data Science, Overview of Data Science and its importance in business, Role of data science in management and strategic decision-making.	Students will be able to define data science, explain its importance in business, and describe its role in management and strategic decision-making. (BTL 1 – Remembering)
2	Unit 2-Data Science Lifecycle: Data collection, cleaning, analysis, and reporting, Data Science vs. Business Intelligence.	Students will be able to describe the data science lifecycle, differentiate between data science and business intelligence, and analyze the processes of data collection, cleaning, analysis, and reporting. (BTL 2 – Understanding)
3	Unit 3: Data Types and Source: Structured vs. unstructured data, internal and external data sources, Introduction to databases and data warehouses.	Students will be able to explain different data types, compare structured vs. unstructured data, and assess internal and external data sources. (BTL 2 – Understanding)
4	Unit 4-Data Cleaning and Pre-processing: Handling missing data, outliers, data normalization, and transformation, Introduction to Python/R for data pre-processing.	Students will be able to apply data cleaning techniques, including handling missing data, outliers, normalization, and transformation, using Python or R. (BTL 3 – Applying)
5	Unit 5- Basic Statistics for Data Analysis: Mean, median, mode, standard deviation, correlation, and regression basic, Descriptive vs. inferential statistics.	Students will be able to demonstrate statistical techniques such as mean, median, mode, standard deviation, correlation, and regression, and compare descriptive vs. inferential statistics. (BTL 3 – Applying)
6	Unit 6- Data Visualization Techniques: Tools: Tableau, Power BI, or Python libraries (Matplotlib, Seaborn)	Students will be able to analyze data visualization techniques using tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn. (BTL 4 – Analyzing)
7	Unit 7- Building and interpreting basic charts: bar charts, histograms, scatter plots, and heat maps	Students will be able to create and interpret basic charts, including bar charts, histograms, scatter plots, and heat maps, to extract business insights. (BTL 4 – Analyzing)
8	Unit 8-.Introduction to Predictive ModellingBasic concepts of predictive analytics, Use cases in business: forecasting, customer segmentation, and risk assessment.	Students will be able to describe predictive modeling concepts, explain business use cases such as forecasting and customer segmentation, and evaluate risk assessment techniques. (BTL 2 – Understanding)
9	Unit 9: Machine learning: Concept of Machine learning; Need for study, Overview of machine learning concepts and applications, Difference between AI, ML, and deep learning.	Students will be able to analyze machine learning concepts, compare AI, ML, and deep learning, and evaluate their applications in business. (BTL 4 – Analyzing)
10	Unit 10- Fundamentals of Machine Learning: Supervised vs. unsupervised learning, Introduction to key algorithms: linear regression, k-means clustering, and decision trees	Students will be able to evaluate supervised vs. unsupervised learning and apply key machine learning algorithms such as linear regression, k-means clustering, and decision trees. (BTL 5 – Evaluating)
11	Unit 11-Data-Driven Strategy: Understanding key performance indicators (KPIs) and metrics, Role of data in shaping business strategies.	Students will be able to analyze key performance indicators (KPIs) and assess the role of data in shaping data-driven business strategies. (BTL 4 – Analyzing)
12	Unit 12- Business Applications of Machine Learning Machine: learning for customer segmentation. Fraud detection and risk management. Supply chain and inventory optimization.	Students will be able to evaluate the applications of machine learning in customer segmentation, fraud detection, risk management, and supply chain optimization. (BTL 5 – Evaluating)
13	Unit 13-Data Ethics and Privacy: Importance of ethics and legal issues in data handling, Data privacy laws and best practices for managers.	Students will be able to describe ethical and legal issues in data science, explain data privacy laws, and assess best practices for data handling and management. (BTL 2 – Understanding)
14	Unit 14– Case Studies in Data Science Application: Industry case studies: retail, finance, healthcare, and marketing	Students will be able to create strategic insights by analyzing real-world case studies in industries such as retail, finance, healthcare, and marketing. (BTL 6 – Creating)
Text book References: – Books: “Data Science for Business” by Foster Provost and Tom Fawcett “Introduction to Data Science” by Laura Igual and SantiSeguí Online Resources: Online platforms for learning (e.g., Coursera, DataCamp) Python and R libraries for data analysis (Pandas, Scikit-learn) NOTE: All learning outcomes are based on six levels of Bloom’s Taxonomy.

MBA Sem-3

Legal Aspects of Business LMB0301

Strategic Management LMB0302

Security Analysis & Portfolio Management LMB0340

International Financial Management LMB0341

Human Resource Planning and Development LMB0342

Labour Law LMB0343

Sales and Distribution Management LMB0344

Consumer Behaviour LMB0345

Introduction to Supply Chain Management LMB0346

Retail logistics LMB0347

Financial Analytics LMB0348

Fundamental of AI For Managers LMB0349

Health law, ethics, and Regulations LMB0350

Introduction to Machine Learning and Basic Technology LMB0353

Data Science and Management LMB0354

Legal Aspects of Business LMB0301

Strategic Management LMB0302

Security Analysis & Portfolio Management LMB0340

International Financial Management LMB0341

Human Resource Planning and Development LMB0342

Labour Law LMB0343

Sales and Distribution Management LMB0344

Consumer Behaviour LMB0345

Introduction to Supply Chain Management LMB0346

Retail logistics LMB0347

Textbooks

Reference Books

Financial Analytics LMB0348

Fundamental of AI For Managers LMB0349

Health law, ethics, and Regulations LMB0350

Introduction to Machine Learning and Basic Technology LMB0353

Data Science and Management LMB0354

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