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

Globalization and the Multinational Firm

Market Imperfections and Expanded Opportunity Set

Goals of International Financial Management

Corporate Governance Around the World

FX Market Structure and Participants

Spot Market Operations

Cross-Exchange Rate Quotations

Interbank FX Market

Triangular Arbitrage

Purchasing Power Parity

The Big Mac Index

Currency Boards and Exchange Rate Systems

Interest Rate Parity

Exchange Rate Forecasting

Forward Foreign Exchange

FX Swaps and Futures

Currency Options

Interest Rate and Currency Swaps

Hedging Instruments and Strategies

Transaction Exposure

Operating Exposure

Translation Exposure

Economic Exposure

International Banking Operations

Eurocurrency Markets

International Money Markets

Trade Finance Methods

International Bond Markets

International Equity Markets

Global Market Integration

Cross-Border Listings

International Diversification and Asset Pricing

International Mutual Funds and Country Funds

Optimal International Portfolio Selection

Motives for FDI

Cross-Border Mergers and Acquisitions

Foreign Investment Strategies

Political Risk and FDI

Production Relocation and Overseas Investment Decisions

Cost of Capital in Segmented Markets

Determinants of Capital Structure

Global WACC and Operating Risk

Financial Structure of Subsidiaries

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

Management of International Cash Balances

Bilateral Netting and Cash Pooling

Transfer Pricing and Related Issues

Blocked Funds and Repatriation Challenges

Foreign Trade Transaction

Government Assistance in Exporting

Countertrade and Barter Transactions

Fundamentals of International Taxation

Worldwide Taxation vs. Territorial Taxation

Transfer Pricing and Tax Havens

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

Other References:

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

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

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

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

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

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

6.    Integrate course learnings to present novel solutions for HR and legal challenges, taking into account modern trends and best practices.

Ø  Remember (Bloom’s Level 1): Recall foundational concepts of industrial relations, including definitions, objectives, and the evolution of labour legislation.

Ø  Understand (Bloom’s Level 2): Demonstrate a thorough understanding of key laws governing industrial relations, worker participation, and grievance handling.

Ø  Apply (Bloom’s Level 3): Utilize labour laws and frameworks in case studies, interpreting them in various workplace scenarios.

Ø  Analyze (Bloom’s Level 4): Examine complex legal situations, such as collective bargaining and industrial disputes, to evaluate impacts on employee relations.

Ø  Evaluate (Bloom’s Level 5): Assess the application and effectiveness of labour laws concerning employment conditions, social security, and disciplinary practices in organizations.

Ø Create (Bloom’s Level 6, implied): Synthesize course learnings to propose solutions for real-world HR and legal challenges, incorporating current trends and best practices.

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.

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

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.

Discussion of Maruti Suzuki strike followed by question answer

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

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

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

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.

Workmen’s compensation Act,1923 – ESI Act, 1948- Employees provident fund and miscellaneous provisions Act,1952

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 Subba Rao SatishMamoria , Dynamics of Industrial relations, 2016, Himalaya Publishing house.

4.    P.R.N. Sinha, Sinha InduBala , 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.

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.

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.

Ø  Examine emerging trends in sales and distribution management.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

-Analyze ethical challenges posed by emerging technologies and their implications for healthcare practices.

-Understand intellectual property rights and evaluate their significance in protecting healthcare innovations.

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.

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.

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.

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.

1. Machine Learning for Absolute Beginners” by Oliver Theobald
2. “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking“ by Foster Provost and Tom Fawcett

Other References: –

1. “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” by Eric Siegel
2. “Artificial Intelligence in Practice” by Bernard Marr
3. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron

NOTE: All learning outcomes are based on six levels of Bloom’s Taxonomy.

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.

1. Machine Learning for Absolute Beginners” by Oliver Theobald
2. “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking“ by Foster Provost and Tom Fawcett

Other References: –

1. “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” by Eric Siegel
2. “Artificial Intelligence in Practice” by Bernard Marr
3. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron

NOTE: All learning outcomes are based on six levels of Bloom’s Taxonomy.

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.

1. Books:

“Data Science for Business” by Foster Provost and Tom Fawcett

“Introduction to Data Science” by Laura Igual and Santi Seguí

1. 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.

 (4 Credits)

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.

·         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.

·         Objectives,

·         Introduction,

·         Functions of Business Logistics,

·         Competitive Advantage andLogistics,

·         Logistics Interface with Production & Markerting,

·         Logistics Value Proposition,

·         Logistical Operations,

·         Supply Chain Synchronization,

·         Summary,

·         Keywords,

·         Review Questions,

·          Further Readings.

(Develop)

·Objectives,

·Introduction,

·Demand Forecasting,

·Collaborative Forecasting.

·Collaborative Planning, Forecasting and    Replenishment (CPFR),

·Summary,

·Keywords,

·Review Questions,

·Further Readings.

(Develop)

·         Introduction to Network Design,

·         Facility location Decisions,

·         NetworkOperations Planning,

·         Relevant Costs for Network Decisions,

·         Network Design Decisions,

·         Technology in Ntwork Design,

·         Risk and Resilience in Network Design,

·         Summary,

·         Keywords,

·         Review Questions,

·         Further Readings.

(Understand)

·         Importance of Facility Location Decisions,

·         Factors Affecting Facility Locations,

·         Facility Location Models ,

·         Risk Management in Facility Location,

·         Summary,

·         Keywords,

·         Review Questions,

·         Further Readings.

(Apply)

·         Warehousing Introduction,

·         Definition of Warehousing,

·         Types of Warehousing,

·         Warehousing and DistributionCenters,

·      Function of a Warehouse,

·      Summary,

·      Keywords,

·      Review Questions,

·      Further Readings.

(Understand)

·         Objectives,

·          Introduction ,

·          Information Functionality – The Supply Chain,

·         Principles of Logistics Information,

·         Comprehensive Information System Integration,

·         Communication Technology,

·      Summary,

·      Keywords,

·      Review Questions,

·      Further Readings.

( Recognize)

·         Inventory Definition,

·         Types of Inventory,

·         Inventory Importance,

·         Cost associated with Inventory Management,

·         Push vs Pull Inventory Control,

·      Summary,

·      Keywords,

·      Review Questions,

·      Further Readings,

( Understand)

·         Objectives,

·          Introduction,

·         Transportation Infrastructure,

·         Transport Functionality & Principles,

·         Transport Structure,

·         Summary,

·          Keywords ,

·         Review Questions,

·         Further Readings.

(Define)

·         Objectives,

·          Introduction ,

·         Packaging Perspectives ,

·         Packaging for Material Handling Efficiency,

·         Materials Handling,

·          Summary,

·          Keywords ,

·         Review Questions ,

·         Further Readings.

(Evaluate)

·         Objectives,

·          Introduction ,

·         Push & Pull Based Supply Chain,

·         Collaborative Issues in SCM,

·         IT in Supply Chain Management,

·         Summary,

·         Keywords ,

·         Review Questions ,

·         Further Readings.

(Understand)

·         Objectives,

·          Introduction ,

·         Agile Supply Chains,

·         Responsive SupplyChains,

·         Reverse Logistics,

·         GreenSupply Chains,

·         Summary,

·         Keywords,

·         Review Questions ,

·         Further Readings,

(Develop)

·         Objectives,

·          Introduction ,

·         3PL Logistics,

·         4PL Logistics,

·         Customer Service ,

·         Measuring Logistics Performance ,

·         Summary,

·         Keywords ,

·         Review Questions ,

·         Further Readings.

(Compare)

·         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.

(Demonstrate)

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

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 sustainable logistics practices.

Ø  To analyse emerging trends and challenges in retail logistics.

Textbooks

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

Reference Books

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

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.

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.

Definition and scope of AI,

Types of AI (Narrow, General, and Superintelligent AI),

History and evolution of AI,

Importance of AI for modern managers

Bloom’s Taxonomy: Understand

Supervised, unsupervised, and reinforcement learning,

Key ML algorithms: regression, classification, clustering

Applications of machine learning in business

Limitations and challenges in machine learning

Bloom’s Taxonomy: Analyze

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

Bloom’s Taxonomy: Understand

Understanding the role of data in AI

Data collection, cleaning, and preprocessing

Data visualization tools and techniques

Importance of data-driven decision making

Bloom’s Taxonomy: Understand

Basics of NLP and text processing

Key applications: sentiment analysis, language translation, chatbots

Sentiment analysis and opinion mining

Ethical considerations in NLP

Bloom’s Taxonomy: Apply

Introduction to computer vision and its applications

Object detection and image classification

Applications of computer vision in business

Challenges and limitations in image processing

Bloom’s Taxonomy: Remember

Basics of RPA and how it works

Role of RPA in automating business processes

Comparison with traditional automation

Practical applications and case studies

Bloom’s Taxonomy: Understand

Personalization through AI-driven customer insights

AI in customer service: chatbots and virtual assistants

Predictive analytics for customer behavior

Real-world examples of AI in CRM

Bloom’s Taxonomy: Analyze

AI applications in inventory management and logistics

Demand forecasting and predictive maintenance

Optimization of supply chain processes

Case studies in AI-driven operational efficiency

Bloom’s Taxonomy: Evaluate

Fraud detection using AI

Algorithmic trading and investment strategies

Credit scoring and risk assessment

Ethical concerns in AI-driven finance

Bloom’s Taxonomy: Evaluate

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

Bloom’s Taxonomy: Understand

Ethical challenges in AI (bias, privacy, transparency)

Legal and regulatory considerations in AI

Responsible AI practices and frameworks

Corporate governance and AI policy

Bloom’s Taxonomy: Understand

Explainable AI (XAI)

AI and Internet of Things (IoT)

AI in social good and sustainability

Future trends and potential in AI

Bloom’s Taxonomy: Remember

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

Bloom’s Taxonomy Level: Create

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

Other References:

1. Python Machine Learning, Sebastian Raschka, Vahid Mirjalili, 3rd Edition, Packt Publishing (Indian reprints available)
2. 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
3. Hands-On Artificial Intelligence for Banking, Jeffrey Ng, 1st Edition, Packt Publishing
4. Natural Language Processing with Python, Steven Bird, Ewan Klein, Edward Loper, 1st Edition, O’Reilly Media (Indian reprints available)

Elements of PMS; Tools for performance appraisal; Linkage between PMS and organizational performance