List of Courses

Macroeconomics: An Overview. National Income Accounting. Measurement of GDP in India, Inflation and its measurement, Price Indices in India, Aggregate Demand and Aggregate Supply, India’s macroeconomic crisis: causes and dimensions. Keynesian Theory, Money and Banking. How banks create money? Monetary Policy: Its instruments and uses. Monetary Policy in India, Monetarism, Supply Side Fiscal Policies, Philipp’s curve and theory of rational expectations. Case Studies on Macroeconomic Issues.

REFERENCES:
M. Parkin and R. Bade: Modern Macroeconomics, 4th Edition, Prentice Hall, 1996.
Ministry of Finance: Economic Survey, Government of India, Recent Issues.
Froyen: Macroeconomics: Theories and Policies, Pearson Education, 2005.
Reserve Bank of India: Annual Reports.

Historical development – welfare to HRM in India, Personnel functions of Management, Integrated HRPD System, Human Resource Planning, Job analysis, Recruitment and selection, Induction, Performance Appraisal and counseling, Career Planning and Development, Assessment center; Wage and salary Administration, Incentives, Benefits and Services; Labour legislation – Industrial Disputes Act, Indian Trade Unions Act, Industrial Employment (Standing Orders) Act, Dealing with unions, workers participation and consultation, Grievance handling, Employee relations in a changing environment; Occupational health and safety; Employee training and management development, Need analysis and evaluation, Managing organizational change and development, Personnel research; Human resource management in the future.
REFERENCES:

DeCenzo and Robbins, Personnel and Human Resource Management, Prentice Hall, 1988.

Werther and Davis, Human Resources and Personnel Management, McGraw-Hill, 1996.

Beardwell and Holden, Human Resource Management, Macmillan, 1995.

Akhilesh and Nagaraj, HRM 2000, Wiley Eastern, 1990.

Understanding human behaviour: relevant theories (Functionalists, Cognitive, Behaviouristic and Social learning). Perception, learning, memory, personality, emotions, defense mechanisms, attitudes, leadership, communication, decision making, groups and social behaviour – nature and characteristics of groups, intra-personal and inter personal differences managing conflicts.

REFERENCES:

Luthans F., Organisational Behaviour, McGraw-Hill, 1988.

Weiten, Wayne, Psychology Applied to Modern Life, Books/Cole, 1986.

Munn, N.L., et al., Introduction to Psychology, (3rd Edn.), Oxford and IBH Publishing Company, 1975.

Makin P., Cooper C. and Cox C., Organizations and the Psychological Contract, University Press, 1999.

Interpretation of Probability. Definition of Probability Space. Combinatiorial Probability. Probability Laws – Complementation, Addition and Multiplication Law. Conditional Probability. Bayes Theorem. Random Variables – Probability Mass Function, Probability Density Function, Cumulative Distribution Function, Moments & Quantiles. Chebyshev’s Inequality.  Jointly Distributed Random Variables – Joint, Marginal & Conditional Distributions, Covariance, Correlation & Regression. Properties of Expectation, Variance, Covariance, Correlation and Regression. Probability Generating Function, Moment Generating Function and Characteristic Function. Discrete Probability Models – Bernoulli, Binomial, Hypergeometric, Geometric, Negative Binomial and Poisson Distributions. Poisson Process. Continuous Probability Models –  Uniform, Exponential, Gamma, Beta, Weibull and Normal  Distributions. Almost Sure, in Probability, in Moment and in Distribution Convergence of Random Variables. Law of Large Numbers. Central Limit Theorem.  

REFERENCES:

• A First Course in Probability by Sheldon Ross. Eighth Edition, 2010. Prentice Hall.
• Introduction to Probability Theory by Paul G. Hoel, Sidney C. Port and Charles J. Stone. 1971. Houghton Mifflin.
• Elementary Probability Theory with Stochastic Processes by Kai Lai Chung. Third Edition, 1974. Narosa Publishing House.
• Applied Statistics and Probability for Engineers by Douglas C. Montgomery & George C. Runger. Fifth Edition, 2014. Willey

Statistical Inference – Estimation, Hypothesis Testing & Forecasting. Frequentist Sampling Distribution. Point Estimation Criteria – MSE, Unbiasedness, Standard Errors, Consistency, Sufficiency. Exponential Family of Distributions. Uniformly Minimum Variance Unbiased Estimation. Point Estimation Methods – Method of Moments & Method of Maximum Likelihood. Confidence Intervals. Statistical Hypothesis Testing – Type I & Type II Errors, Size and Power of a Test, Neymann-Pearson Lemma, Uniformly Most Powerful Tests, Uniformly Most Powerful Unbiased Tests. Fixed Significance Level Testing versus Observed Significance Level (p-value) Testing. Likelihood Ratio Tests. Sampling Distributions for Normal Populations – χ², t and F Distributions. Inference for the Mean and Variance of a Normal Population – z, t and χ²  Tests and Intervals. Comparison of Means of two Normal Populations – Pooled, Welch and Paired t. Distribution-free Methods – Wilcoxon Rank Sum,  Sign and Wilcoxon Signed Rank Tests, Empirical CDF and its Properties. Tests for Normality. Inference for Population Proportions – One Sample, Two Sample and Multi-Sample Problems – z-Tests; χ² Tests for Goodness of Fit, Homogeneity and Independence; Fisher’s Exact Test and McNemar’s Test.

REFERENCES:

• Statistical Inference by George Casella and Roger L. Berger. Second Edition, 2001. Duxbury.
• Applied Statistics and Probability for Engineers by Douglas C. Montgomery & George C. Runger. Fifth Edition, 2014. Willey.
• Statistics by David Freedman, Robert Pisani & Roger Purves. Fourth Edition, 2010. Viva Books.

Discrete event simulation – Input modeling, random number generation, random variate generation, transient and steady state simulation, simulation output analysis, variance reduction with common random number streams
Multi objective optimization – Efficient frontier, dominated and non-dominated solutions, goal programming, genetic algorithms for approximating the efficient frontier, Analytical Hierarchy Process
Data envelopment analysis – Relative efficiency and mix efficiency, Constant returns to scale and variable returns to scale, CCR and BCC models, Input and output orientation, Additive models and translation invariance
Artificial neural network and Deep learning – Basic Perceptron structure; Perceptron learning rule; Different types of Activation functions, Gradient Descent algorithm & parameter optimization with gradient descent; Stochastic Gradient Descent (SGD); Basic Backpropagation algorithm, Regularization to avoid overfitting, Various methods for weight initialization – Zero, Random, Xavier, He; Deep Neural Networks – Convolutional Neural Network (CNN) & Recurrent Neural Network (RNN); Autoencoders (AE) & Variational Autoencoders (VAE); Variational Divergence Minimization (VDM) & Generative Adversarial Network (GAN); Score-Based Generative Models

REFERENCES:

• Discrete Event simulation by Law and Kelton
• Optimization in operations research by R. L. Rardin
• Data envelopment analysis by W. W. Cooper, L. M. Seiford and K. Tone
• Deep Learning by Ian Goodfellow, Yoshua Bengio & Aaron Courville
• Neural Network Design by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale & Orlando De Jes´us

Simple and multiple linear regression modeling, general linear hypotheses testing, and prediction; multiple and partial effects and correlations; residual analysis; dummy variable techniques (analysis of covariance). Classical decomposition of time series into trend, cyclical, seasonal and irregular components. Elementary trend modeling – growth models, polynomial and logistic trends. Stationary stochastic processes – auto-covariance and partial auto-correlation functions; MA, AR and ARMA models – Impulse Response Function, Auto Correlation Analysis and forecasting. Stochastic trends – unit root tests, ARIMA modeling, forecasting. Seasonality modeling – SARIMA models.

REFERENCES:

• Michael H. Kutner,Christopher J. Nachtsheim,JohnNeter& William Li,Applied Linear Statistical Models,McGraw-Hill International Edition

Marketing function; Marketing concept; Relationship with other functions; Relevance; Marketing environment; Markets; Consumer behaviour; Market segmentation;Marketing planning; Marketing mix;Product policy; New products; Product life cycle; Pricing, Distribution;Advertising and promotion;Marketing organization;Sales forecasting; Management of sales force;Marketing control.

REFERENCES:

Phillip Kotler, Marketing Management – Analysis, Planning and Control, 12th Edition, Prentice-Hall of India, 2006.
R. Srinivasan, Case Studies in Marketing – The Indian Context, Prentice-Hall of India, 4th Edition, 2008.

Nature and purpose of accounting, financial statements: learning, understanding the basic financial statements.
Preparation of P and L account, balance sheet, basic accounts and trial balance. Income measurement, revenue
recognition, depreciation accounting. Cash flow statements. Analysis and interpretation of financial statements;
concepts and elements of cost, activity based costing. CVP analysis, break-even point, marginal costing, relevant
costing. Cost analysis for decision making: opportunity cost concept, dropping a product, pricing a product, makeor-buy and product mix decisions. Joint products, by-products. Process costing. Standard costing, budgeting –
flexible budget, master budget, zero based budgeting. Overview of Financial Management, time value of money,
fund and cash flow statement, risk and return. Working capital management: estimating working capital, financing
working capital, receivables management, inventory management, cash management, money markets in India.
Capital Budgeting: appraising long term investment projects, make vs. buy investment decisions, estimating
relevant cash flow. Capital Structure: Estimation of cost of debt, cost of equity, overall cost of capital, CAPM.
Capital structure planning: Capital structure policy and target debt equity structure, EBIT-EPS analysis. Leasing.
Introduction to valuation of firm. Introduction to derivatives.

REFERENCES:

• Anthony and Reece, Accounting Principles, AITBS, Sixth Edition, 1998
  S.K. Bhattacharyya and John Dearden, Accounting for Management, Vikas Publishing House, Third Revised Edition, 1998.
  Horngren, Foster and Dattar, Cost Accounting, PHI Publication, Tenth Edition
  Brearly R and Myers S, Principles of Corporate Finance, McGraw-Hill, New Delhi, Fifth Edition.
  Prasanna Chandra, Financial Management: Theory and Practice, Tata McGraw-Hill, Fifth Edition.

The purpose of this course is to introduce various financial instruments, such as futures, options, and swaps associated with different asset classes, such as interest rates, forex and stocks. The course covers the principles of derivative pricing with an introduction to the Black Scholes framework. We cover some basic hedging strategies including delta hedging to manage derivative risks. Basic numerical schemes for derivative pricing, bootstrapping of interest rate term structure are also covered.

REFERENCES:

 Options, Futures, and Other Derivatives (John Hull). Pearson.

Introduction to Production/Operations Management (P/OM), P/OM Strategy, Forecasting, Process Management, Facility Layout, Capacity Planning and Facility Planning, Aggregate Planning, Material Requirement Planning, Scheduling, Inventory Management, Waiting Line, Project Management, Management of Quality, Introduction to Simulation, and Introduction to Supply Chain Management.

REFERENCES:

Stevenson, William, J. Production / Operations Management. 6th Edition. Irwin/McGraw-Hill.

Krishnaswamy, K.N. and Mathirajan, M. Cases in Operations Management, Prentice-Hall of India Pvt. Ltd., New Delhi, 2008.

Heizer, J, and Render, B. Production and Operations Management- Strategies and Tactics. Allyn and Bacon.

Gaither N., and Frazier, G. Operations Management. 9th Edition, Cengae Learning India Pvt. Ltd. 2004.

Mahadevan, B. Operations Management: Theory and Practice. 2nd Edition. Pearson, 2007.

Introduction to data mining (DM); DM methodology; Preparing data for mining; Data mining and Statistics; Hazard Functions; Survival Analysis; Memory based reasoning; Market Basket Analysis, Link Analysis, Decision Trees, Clustering; Privacy and Societal Issues, the Data mining environment, Putting DM to work.

REFERENCES:

Data Mining: Concepts and Techniques by Jiawei Han and Micheline Kamber, Morgan Kaufman Publishers 2001.

Data Mining: A Tutorial-Based Primer by Richard J. Roiger and Michael W. Geatz, Addison-Wesley 2003

Data Mining: Concepts, Models, Methods and Algorithms by Mehmed Kantardzic, Wiley, 2003

Introduction to policy; conceptual foundations and practice of policy making; theories: social theorists, institutional rational choice, punctuated equilibrium, and stages approaches to policy; the policy making process; frameworks and models for study: introduction and comparison, government and politics; rationality and policy; public and policy; business and policy; role of rules, strategies, culture and resources; member dynamics (institutional and non-institutional); doing policy analysis: meta, meso, decision and delivery levels.

REFERENCES:

Weimer, D.L., and Vining A.R., Policy Analysis: concepts and practice. Prentice Hall, New Jersey, 2004.

Lindbhlom C.E., and Woodhouse E.J., The policy making process, Prentice Hall, 1993.

Concepts of sustainability and sustainable development; Components of sustainability (Social, Economic, Environmental); Linkages between technology and sustainability; Sustainability proofing of technology life cycle; Frameworks for measuring sustainability; Indicators of sustainability; Interactions between energy and technology and their implications for environment and sustainable development; technological innovations for sustainability; Sustainable innovations – Drivers and Barriers; Policy and institutional innovations for sustainability transition.

REFERENCES:

Dorf, Richard C., Technology, humans, and society: toward a sustainable world, Academic Press, 2001.

Rogers, P.P., Jalal, K.F. and Boyd, J.A., An Introduction to Sustainable Development, Earthscan, London, 2007.

Weaver, P., Jansen, L., Grootveld, G.V., Spiegel, E.V. and Vergragt, P., Sustainable Technology Development, Greenleaf Publishing, Sheffield, 2000.

Scope and method of Industrial Economics, Industrialization; Change in Economic and Industrial Structure; Industrial Policy; Industrial Structure in India; Small Scale Industry; Industrial Location Policy, R&D in Industry, Trans National Corporations (TNCs); Food Processing Industry; Electronics Industry, Industry Case Studies.

REFERENCES:

Tendulkar, S D, A Mitra, K Narayanan and D K Das (2006): India: Industrialization in a Reforming Economy, Academic Foundation, New Delhi

Nagaraj, R (2006): Aspects of India’s Economic Growth and Reforms, Academic Foundation, New Delhi.

Ministry of Finance: Economic Survey, Recent issues.

Opportunity Recognition; New Product Development; Business Models; Marketing and Positioning; Business Plans and Financial Requirements; Finance and Venture Capital; The Entrepreneurial Team; Managing Strategy and Innovation; IPR and Contracts; Developing a Personal Entrepreneurship Strategy.

REFERENCES:

Thomas W. Zimmerer and Norman M. Scarborough, Essentials of Entrepreneurship and Small Business Management, Prentice Hall of India, New Delhi. 2005

Tom Peters. The Circle of Innovation, Alfred A. Knopf, New York, 1997.

John Drew. Readings in International Enterprise, Routledge, London, 1995.

Prem Vrat, K.K. Ahuja, and P.K. Jain. Case Studies in Management, Vikas Publishing House, New Delhi, 2002.

Organization-its characteristics; objectives (nature of goals, independence and interdependence), structure (size, centralization, formalization, standardization), process (decision making, leadership motivation, etc., authoritative vs participitative styles), technology, Organization and its environment, power dynamics, Conflicts management, organizational learning and growth, Organizational development, interventions at job, individual, group and organizational levels.

REFERENCES:

Babbit H.R. et al, Organizational Behavior, Prentice Hall, New Jersey, 1978.

Osborn R.N. et al, Organizational Theory, John Wiley, New York, 1980.

Gerloff E.A., Organizational Theory and Design, McGraw-Hill 1985.

Child J, Organizations, Harper and Row 1985.

Scientific techniques of management, Evolution of management thought and methods, Contribution of Taylor, Gilbreth, Henri Fayol and others, Principles of management, Levels of authority and responsibilities, Types of managerial organizations, Line, staff, committee, etc. Social responsibilities of management, internal and external structure of organizations, Charts and manuals, Formulation and interpretation of policy, issue of instructions and delegation of responsibility, Functional team-work, Standards for planning and control.

REFERENCES:

M Govindarajan and S. Natarajan, Principles of Management, Eastern Economy Edition, 2005.

Koontz H, O’Donnel C., and Weirich H., Management McGraw Hill 1984.

Micheal M., Mescon, Michael Albert and Franklin Khedown, Management, Third Edition, 1988, Harper and Row, International Edition.

Strategic Management Process; Challenge of Globalization; Strategic Planning in India; Corporate Governance; Board of Directors; Role and functions of Top Management, Environmental scanning: Industry Analysis, Internal Scanning: Organizational Analysis, Strategy Formulation: Situation Analysis and Business Strategy, Corporate Strategy, Functional Strategy, Strategy Implementation and Control, Strategic Alternatives; Diversification, Mergers and Acquisition.

REFERENCES:

R. Srinivasan, Strategic Management – The Indian Context, Prentice-Hall of India, 3rd Edition, 2008
R. Srinivasan, Case Studies in Marketing – The Indian Context, Prentice-Hall of India, 4th Edition, 2008.

Scope and size of international markets, conceptual framework, trade theories, institutional and policy framework, cultural environment for international business, political and legal environment, international markets – selection, market planning, control, product policy, market research, advertising, promotion, pricing and distribution.

REFERENCES:

R. Srinivasan, International Marketing, Prentice-Hall of India, 3rd Edition, 2008.

R. Srinivasan, Case Studies in Marketing-The Indian Context, Prentice-Hall of India, 4th Edition, 2008.

Definition of technology, Technological transformation process in an organization, adaption. Adaption and innovation experiences in selected developed and developing countries. Technology transfer and its relation to technology transformation, diffusion and commercialization, rural technology management. Forward and backward integration of technology implementation. Some concepts in relation to technology management – Productivity, Employment, Human resource and organizational development and corporate strategy.

MOT scope and focus, measuring technology content and intensity, organizing the high technology enterprise. Concurrent engineering and integrated product development, managing technology based projects, technology evaluation and selection, leading technology teams.
REFERENCES:

Thahaman H.J., Management of Technology, New Jersey: John Wiley & Sons, 2005.

BETZ Frederick, Strategic Technology Management, New York: McGraw Hill, 1994.

Day G.S., Schoemaker J.H.P., and Gunther, E.R., Wharton on Managing Emerging Technologies, New York: John Wiley & Sons, 2000.

Strategic human resources; R&D Personnel understanding and managing R&D personnel, Selection, Recruitment and human resource policies suitable for different kinds of R&D establishment, Leadership, Uncertainty, Creativity and Innovation; creative processes, group interaction, problem solving, organizational climate for innovation, Team building; Individual, interpersonal and group factors, Neurotic teams, Organizational development, organizational structures and functioning, competence building at the individual, group and organizational levels.

Evaluation of R&D Projects; Pre-Initiation Evaluation, Need, Risks Associated with project selection.

REFERENCES:

Hawthrone E.P., Management of Technology, McGraw-Hill, 1978.

Beattle C.J. & Reader R.D., Quantitative Management in R&D, Chapman and Hall, 1971.

Gibson J.E., Managing Research and Development, Wiley & Sons Inc., New York, 1983.

Change management: conceptual foundation; factors causing change; internal and external. Dynamics of change; leadership, power, conflict and outcomes. Levels of change management; individual, group and organizational. Resistance to change; rational, psychological and sociological and dealing with resistance. Measurement of change. Change interventions.

REFERENCES:

Dyer W.G. (1984) Strategies for Managing Change, Mass: Addison Wesley.

Leigh, A. (1996) Effective Change, University Press.

Organizational and technological innovation – role of organizational design and processes – strategic role of intellectual property protection in technological innovations case studies – role of open source – the R&D value chain – stage gates – differences in priority with the R&D value chain- NPD – international, national, organizational, individual actors, organizations and vehicles to manage intellectual property – critical steps in managing R&D process management during stage gates for patent searches, technology landscaping, specification writing, timeline management – rights and responsibilities in competitive technology environments – innovative inventions – commercial potential – management of processes to enhance innovative patents and technological know-how transfer – incubators, assessing patent value- implications on managing the R&D value chain for corporate R&D, designing innovation and intellectual property divisions, and information technology support systems in managing innovation and intellectual property.

REFERENCES:

Trott, P., Innovation Management and New Product Development, Financial Times, Pitman Publishing, GB, 1998.

Learning theory, measurement of learning, learning organizations, learning excellence in corporate organizations (internal processes, markets and technology); case studies of projects and implementations (Six Sigma, MindTree Consulting Pvt Ltd, SALIS, Micro Processor NPD life cycles); support systems to knowledge; gathering of tacit and explicit knowledge; behavioral and IT support systems, knowledge sharing culture, appreciative intelligence; classification; relationship to organizational and technological innovation; terminology and schools of thought; knowledge, intellectual property, technology, innovation and organizational intellectual capital, measurement of innovation and intellectual capital in corporate organizations; role of open innovation and open source.

REFERENCES:

Miller, W.L. and Morris, L., Fourth Generation R&D – Managing Knowledge, Technology and Innovation, John Wiley and Sons, Inc, NY, 1999.

Eds: Parr, R.L. and Sullivan, P.H., Technology Licensing – Corporate Strategy for Maximizing Value, John Wiley and Sons, Inc, NY, 1996.

Introduction to concepts on energy sources, carriers and energy flows in the economy, issues in energy supply from both short and long term perspectives, Energy consumption from a sectoral and end-use perspectives, Linkages between energy and economic development, Energy modeling, Energy economics, Energy efficiency and renewable energy, interactions between energy and environment, integrated approaches to energy planning, energy policy instruments and institutions.

REFERENCES:

Ristinen, R.A. and Kraushaar, J.J., Energy and the Environment, 2nd Edition, Wiley 2005.

Munashinghe, M., and Meier, P., Energy Policy Analysis and Modeling, Cambridge University Press, New York, 1993.

Goldemberg, J., Johansson, T.B., Reddy, A.K.N., and Williams, R.H., Energy for a Sustainable World, Wiley Eastern Ltd., New Delhi, 1988.

Introduction to science, technology and policy; sociology of science and technology; policy, science and environment; religion and modernity; technology creation and diffusion (policy development and dynamics, social and economic perspectives, contemporary and critical issues); life sciences and biotechnology (policy development and dynamics; social and economic perspectives; critical issues); genetics, nature and society; R&D and society; politics, ethics and policy; bio-medical ethics and public policy; policy evaluation, analytical frameworks; impact analysis; qualitative issues in policy research.

REFERENCES:

Crow, M. (2000). Linking scientific research to societal outcomes. 25th S Colloquium of Science and Technology Policy, held April, 11-13, Washington D.C.
Jasanoff, S., Markle, G. E., Petersen, J. C., and Pinch, T. J. (Eds.) (1995). Handbook of Science and Technology Studies. Sage Publications.
Sismomdo, S. (2008).An Introduction to Science and Technology Studies. Edition 6. Wiley-Blackwell Publishing.

Williams, R. and Edge, D. (1996). The social shaping of technology. Research Policy Vol. 25, pp. 856-899.

The systems approach, project organization, work definition, scheduling and network analysis, PERT and CPM, resource – constrained scheduling, project costing and assessment, project control and management, software for project management, management of hi-tech projects, including software projects, quality and risk management.

REFERENCES:

Iyer, P.P., Engineering Project Management with Case Studies, Vikas Publishing, New Delhi, 2009.

Project Management Institute, USA. A Guide to the Project Management Body of Knowledge. Newton Square, PA. 1996.

Meredith, J.R., and Mantel, S.J. Jr., Project Management: A Managerial Approach, John Wiley and Sons, NY, 1995.

Structure & dynamics of personnel practices in relation to technology, productivity, gold collar workers etc., integrating organizational and human concerns, HRM accountability and audit, personnel and behavioural information system. competency mapping, leadership, assessment centres, performance linked compensation systems, ability development, mentoring and success pilots.

REFERENCES:

Decenzo, D.A. and Robbins, P.S. Personnel/ Human Resource Management, Prentice-Hall, 1989.

Luthans F. Organizational Behaviour, Tata McGraw Hill, 1989.

Child, J. Organizations, Harper and Row, 1985.

Marketing research – role in decision making, characteristics; industry – structure, evaluation and ethics; marketing research process; problem definition and determination of research objectives; research design; syndicated services; measurement, sampling plan; statistical analysis and interpretation.

REFERENCES:

Naresh K. Malhotra, Marketing Research, 3rd Edition, Pearson Education Asia, 2001.

Green & Donald S. Tull, Research for Marketing Decisions, Prentice Hall, 1995.