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1
UNIVERSITY OF DELHI
Scheme of Examination
and
Courses of Reading
for
M.A./M.Sc. Applied Operational Research
Examinations
Part- I Examination
Part-II Examination
2
UNIVERSITY OF DELHI
M.A./M.Sc. IN APPLIED OPERATIONAL RESEARCH
SCHEME OF EXAMINATION
Part I- Examination Duration Maximum
(Hours) Marks
Course- I : Computer Programming
and Numerical Methods
(a) Computer Programming 40
(b) Numerical Methods 3 40
(c) Minor project using (a) 20
Course- II : Statistical Methods 3 100
Course-III : Linear Programming 3 100
Course-IV : Inventory Management 3 100
Course- V : Queueing and Simulation 3 100
Course- VI : Marketing Management 3 100
Course -VII : Database Management System
And Visual Programming
(a)Theorv 3 60
(b) Practical 4 40
Course- VIII : Industrial Statistics 3 100
Part II - Examination Duration Maximum
(Hours) Marks
Course- IX : Network Analysis and 3 100
Theory of Sequencing
Course- X : Theory of Reliability 3 100
and Maintenance
Course- XI : Mathematical Programming 3 100
Course-XII : Software Engineering 3 100
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Course - XIII and XIV : Optionals (Any two of the following)
(i) Advanced Mathematical
Programming 3 100
(ii) Applied Queueing Systems 3 100
(iii) Advanced Inventory Management 3 100
(iv) Applied Reliability Methods 3 100
(v) Marketing Research 3 100
(vi) Financial Management 3 100
(vii) Theory of Control 3 100
(viii) WEB Programming using JAVA
(a) Theory 3 60
(b) Practical 4 40
(ix) Data Warehousing and 3 100
Data Mining
Course- XV : Industrial and Project Work 200
The work will start in the beginning of M.A./ M.Sc. Part-II under approved supervisors
from amongst the members of the staff and the report is to be submitted for evaluation by
March 31. It will carry 200 marks.
Project Report : 100 Marks
Viva-voce : 50 Marks
Internal Assessment : 50 Marks
Note: (a) The students have to secure 50% marks in each course.
(b) In courses having minor project/ practical, students have to secure 50% marks
separately in minor project/practical.
(c) In Course-VII Part-(b), Course- XIII and XIV(viii) Part-(b),10 marks are
reserved for class record and 10 marks for viva-voce.
(d) In Course-I (C), 10 marks are reserved for project report and 10 marks for viva-voce.
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Course-I : Computer Programming and Numerical Methods
Part(a) Computer Programming
Introduction to UNIX / WINDOWS NT / WINDOWS Operating System, File and
Memory Management. Elementary Data Structure in C++, Arrays. Stacks, Queues. Link
Lists, Trees and Fundamental File Structure Concepts and its Access. Introduction to
Object Oriented Programming. Object and Classes in C++. Functions, Structures, Arrays,
Operator Overloading, Inheritance, Pointer, Memory Management, Polymorphism,
Exceptions, Templates, Container Classes, File and Streams.
Part(b) Numerical Methods
Theory of interpolation with error terms, Numerical integration with error terms,
Trapezoidal, Simpson’s 1/3rd, 3/8th, Weeddle’s and Gauss quadrature formulas,
Gregory’s Euler Maclaurin’s formula.
Numerical solution of ordinary differential equations. One step methods for initial value
problems and boundary value problems.
Books suggested :
1. Afzal Amir. : Unix Unbounded, Beginning Approach, 2nd
Edition, Prentice Hall,1998.
2. Kernighan, B.W. : The Unix Programming Environment,
and Pika, R. Prentice Hall, 1984.
3. Graham Glass : Unix for Programmers and Users, A
Complete Guide, Prentice Hall, 1993.
4. Dewhurst, S.C.and Stark, K.T. : Programming with C++, Prentice Hall,
1995.
5. Meyers Scott : Effective C++, 50 Specific Ways to
Improve Your Program and Designs,
Addison-Wesley, 1992.
6. Bjarne Stroustrup : The C++ Programming Language. 2nd
Edition, Addison-Wesley, 1991.
7. Scarborough, J.B. : Numerical Mathematical Analysis,
Oxford Book Co. 1966.
8. Jain, M.K., Iyengar. S.R.K. : Numerical Methods for Scientific and
and Jain, R.K. Engineering Computations, Wiley
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Eastern Ltd. 1993.
9. Vandergraft, J. S. : Introduction of Numerical Computations
2nd Ed., Academic Press. 1983.
Part-(c) A minor project using (a)
Course –II : Statistical Methods
Probability spaces, Conditional probability, Random variables, Expectation,
Characteristic functions, Generating functions. Law of large numbers, Central limit
Theorem. Discrete and Continuous probability distributions. Compound distribution.
Linear regression analysis, Correlation, Curve-Fitting, Pearson’s System.
Sampling distribution of x and S2 for Normal Population; t,
2 & F distributions, and
tests of significance based on them. Theory of point estimation and interval estimation.
Theory of testing of hypothesis: Simple and composite hypothesis, Neyman Pearson
lemma and likelihood ratio tests.
Books suggested :
1. Feller, W. : An Introduction to Probability Theory and its
Applications : Volume I. 5th Ed.. John Wiley and
Sons, 1985.
2. Kendall, MG., Stuart : Advanced Theory of Statistics, Volume I and II
M.G. and Stuart, A. Charles Griffin and Co. Ltd., 1961.
3. Meyer, Paul L. : Introduction to Probability and Statistical
Applications, 2nd Ed., Addison Wesley, 1971.
4. Freund, J.F. and : Mathematical Statistics, 5th Ed., Prentice Hall of
Walpole, R.E. India, 1999.
5. Hogg, R.B. and : Introduction to Mathematical Statistics, 4th Edn.
Craig. A.T. Macmillan Publishing Co. Inc.1978.
Course – III : Linear Programming
Convex sets and convex cones. Convex function and their properties. Theory of Simplex
Method, Simplex Algorithm. Degeneracy. Duality theorem, Transportation problem,
Assignment problem. Revised Simplex method. Parametric linear programming.
Sensitivity analysis, Dual- simplex method. Bounded variable problem. Decomposition in
Linear Programming. Rectangular games : methods of solution. Equivalence of
rectangular games and linear programming.
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simplex method. Bounded variable problem. Decomposition in Linear Programming.
Rectangular games : methods of solution. Equivalence of rectangular games and linear
programming.
Case studies.
Books suggested :
1. Gass, S.I. : Linear Programming (3rd Edition), McGraw Hill,
NY, 1985.
2. Hadley, G. : Linear Programming, Narosa, 1987.
3. Hadley, G. : Linear Algebra, Narosa, 1987.
4. Bazara. M. S., : Linear Programming and Network Flows, Wiley,
Jarvis, J. and NY, 1990.
Sherali H.
5. Ignizio, J.P. and : Linear Programming, Prentice Hall, NJ, 1994.
Cavelier, T.M.
6. McKinsey, J.C.C. : Introduction to Theory of Games, McGraw Hill
Book Co., NY, 1952.
Course – IV : Inventory Management
Concept of inventory. Estimation of different cost functions. Classification of items,
Inventory control with deterministic and stochastic demands with and without lead time.
Power demand pattern. Deterioration. Perishibilitv in inventory models. Safety Stock
level. All units and incremental discounts inventory models. Multi-item model with
constraints. Individual and Joint Order policy. Optimum warehousing capacity. Simple
periodic review model. Production Scheduling model.
Value analysis, Codification and standardization of items, Simulation in inventory.
Computer aid in controlling inventories.
Case studies relating to inventory decisions.
Books suggested :
1. Hadley, G. and Whitin T.M. : Analysis of Inventory Systems,
Prentice Hall, 1963.
2. Naddor, E. : Inventory System. John Wiley, 1966.
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3. Hansmann, F. : Operations Research in Production
and Inventory Control, Prentice Hall,
1968.
4. Arrow K., Karlin J.S. and : Studies in Mathematical Theory of
Scarf, H. Inventory and Production,
Stanford University Press, 1958.
5. Buchan, J. and Koenisberg, E. : Scientific Inventory Management,
Prentice Hall, 1963.
6. Silver, E. and Peterson. R. : Decision System for Inventory
Management and Production
Control, Wiley, NY, 1985.
Course - V : Queueing and Simulation
Introduction to Stochastic Processes, Markov Chain and Markov Processes. Description
of Queues, Probability description of arrivals and service times. Basic structure of
Queueing Models.
Mathematical Queueing Models : M/M/1, M/M/C, M/G/1, G/M/1, M/D/1, M/D/C,
M/EK/l and Ek/M/1. Solutions for the queue length, waiting time and busy period. Basic
idea of priority and other queue disciplines. Simulation and Monte Carlo Techniques.
Book-keeping aspects of Simulation. Monte Carlo method applied to Queueing Theory.
Application of Queueing Theory to Machine Interference Problem.
Case studies.
Books suggested :
1. Kleinrock,. Leonard : Queueing Systems, Volume I : John Wiley,
1975.
2. Gross, Donald and : Fundamentals of Queueing Theory,
Harris, CM. 2nd Edn.. John Wiley, 1985.
3. Cox, D.R. and Smith, W.L. : Queues, Mathuen, 1961.
4. Medhi, J. : Stochastic Models in Queueing Theory,
Academic Press, 1991.
5. Panico, J.N.A. : Queueing Theory, 1969.
6. Satty, T. L. : Elements of Queueing Theory with
Applications, Dover, NY, 1983.
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Course - VI : Marketing Management
Concept of marketing and its role in business and public organisations. Marketing
decisions. Need for scientific marketing analysis, Uses and limitations of mathematical
models in marketing. Classifications of market structure depending upon the nature of
competitive conditions.
Introduction of a new product, Consumer behaviour, Utility measure for product search,
Break-even analysis for product evaluation, PERT and CPM in product development.
Demand elasticities and elasticity theorem, Factors affecting pricing decision, Pricing
methods, Joint optimization of price, quality and promotional effort, Purchasing under
fluctuating prices.
Promotional decisions in the presence of competition, Game theory models for
promotional effort, Spatial allocation of promotional effort, Media allocation for
advertisement, Brand switching analysis.
Channels of distribution, Transportation decision, Locating company’s wholesale dealers
and warehouses.
Case studies relating to marketing decisions.
Books suggested :
1. William R. King : Quantitative Analysis for Marketing
Management McGraw Hill Co., 1967.
2. Bass, Buzzel (ed) : Mathematical Models and Methods in
Marketing, Irwin Series, 1971.
3. Lillien, G.L., Kotler, P. : Marketing Models, Prentice Hall of India,
and Subramanium 1998.
4. Border, N.H. and : Advertising Management-Text and Cases,
Marshal, W.V Richard D. Irwin Inc. 1967.
5. Howard. J.M. : Consumer Behaviour in Marketing
Strategies, Prentice Hall, 1989.
6. Montegomery, D.B. : Management Science in Marketing,
& Urban. G.L. Prentice Hall, 1979.
Course - VII : Database Management System and Visual Programming
Part - (a) Theory
Introduction to Database Systems, Data Models, Relational Model, The ER Methodology
for Logical Design, Relational Algebra, SQL, Design Theory for Relational Databases,
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Object Oriented Database Systems, Physical Level Organization, Query Processing &
Optimization, Security and Integrity, Concurrency Control and Crash Recovery,
Distributed Systems.
Introduction to Client Server Programming : Visual programming environment, iconic
systems and their specifications including syntactic and semantic aspects. Messages and
message passing, Programming with graphic devices, Implementation with visual
systems, Introduction to Visual Basic.
Books suggested :
1. Date, C.J. : An Introduction to Database Systems, 6th
Edition, Addison Wesley, 1995.
2. Korth, H.F., Silberschatz, A. : Database System Concepts, McGraw Hill,
and Sudarshan. S. 1998.
3. Ramakrishnan, Raghu : Database Management System, McGraw
Hill, 1998.
4. B.C. Dasai : Database System, BPB, 1998.
Part - (b) Practical based on VII (a)
Course - VIII : Industrial Statistics
Time-series: Components of time series, Measurement of trend, seasonal and cyclical
components, Forecasting techniques.
Statistical Quality control, Control Charts, Sampling acceptance plans, Properties and
determination of parameters of single and double sampling plans for LTPD, AQL
requirements, OC-curve scheme for determination of parameters for single sampling
plan.
Econometrics : Theory of regression for single equation models and simultaneous
equation models, Distributed lag-models, Multicollinearity.
Case studies in application of econometric models and other specialised aspects of
Econometrics.
Books suggested :
1. Montegomory, D.C. : Forecasting & Time Series Analysis,
and Johnson, L.A. McGraw Hill. 1990.
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2. Duncan, A.J. : Quality Control and Industrial Statistics,
D.B. Taraporevala and Sons, 1965.
3. Johnston, J. : Econometric Methods, 3rd Edn., McGraw Hill,
1984.
4. Brown, R.G. : Smoothing, Forecasting and Prediction of
Discrete Time Series, Prentice Hall Inc., 1972.
Course - IX : Network Analysis and Theory of Sequencing
Flows in networks, Maximal flow, Distribution and General Minimal Cost Flow
problems, Shortest Path and Travelling Salesman Problem, Construction of minimal
spanning tree and its applications.
PERT and CPM with activity times known and probabilistic, Various types of floats,
Updating of PERT charts, Project crashing, Formulation of CPM as a linear programming
problem, Resource leveling and Resource Scheduling.
Sequencing Problem, Flow shop problem and general n/m job-shop problem.
Books suggested:
1. Ford, L.R. and Fulkerson, D.R. : Flows in Network, Princeton
University Press, 1962.
2. Bazaraa M.S. : Linear Programming and
Jarvis, J. and Sherali, H. Network Flows, Wiles, NY, 1990.
3. Ahuja, R.K., Magnati, T.L. : Network Flows - Theory,
and Orlin, B. Algorithm and Applications,
Prentice Hall, NJ, 1983.
4. Jenson, P.A. and : Network Flows Programming,
Barnes, W.J. John Wiley and Sons, 1980.
5. Elmaghraby, S. E. : Activity Networks, Project Planning,
and Control, John Wiley and Sons,
1977.
6. Moder Joseph J. and : Project Management with PERT &
Philips Cecil R. CPM, Van Nostrand Reinhold Co.,
1970.
7. Convey, R.W., Maxwell, W.L. : Theory of Scheduling, Addison
and Miller, L.W. Wesley, 1967.
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8. Fiench, S. : Sequencing and Scheduling, Ellis
Horwood Limited, 1982.
Course- X : Theory of Reliability and Maintenance
Part A
Basic of Reliability including structured function. Classes of life distributions. Series,
Parallel, Standby configurations, Bridge structure, Reliability models of maintained &
nonmaintained systems, Availabilitiy theory and its modelling for various configurations.
Part B
Renewal theory and its application to one-unit repairable systems with simple different
maintenance policies (Age, Block, Preventive & Corrective). Minimal repair replacement
policies, ordering policies, Notions of Ageing.
Optimization problem with respect to system re1iability, Overhaul and repair decisions,
Reliability allocations problems.
Case Studies.
Books suggested:
1. Barlow, R.E. and Proschan, F. : Mathematical Theory of Reliability,
John Wiley & Sons, 1965.
2. Barlow, R.E. and Proschan, F. : Statistical Theory of Reliability and
Life Testing, Holt, Rinehert &
Winston Inc., 1975.
3. Jardine, A.K.S. : Maintenance, Replacement and
Reliability, Pitman Publications,
1973.
4. Morse, P.M. : Queues, Inventories and
Maintenance, John Wiley & Sons,
1958.
5. Rau, John G. : Optimization and Probability in
Systems Engineering, V.N. Reinhold
Co. 1970.
6. Cox, D.R. : Renewal Theory, Mathew, London,
1962.
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7. Kuo, W., Rajendra Prasad. V. : Optimal Reliability Design :
Tillman, F.A. and Hwang C.L. Fundamentals and Applications,
Cambridge University Press, 2001.
8. Lewis, E.E. : Introduction to Reliability
Engineering, John Wiley & Sons,
1987.
9. Srinath, L.S. : Reliability Engineering, Affiliated
East -West Press, 1991.
Course- XI : Mathematical Programming
Convex sets, Convex functions and their properties, Fritz-John’s optimality conditions,
Kuhn-Tucker’s optimality conditions, Quadratic Programming : Methods due to Beale
and Wolfe, Duality in quadratic programming.
Elements of Dynamic Programming, Integer Programming : Dantzig’s Method.
Gomory’s Method for all integer and mixed integer programming, Branch and bound
technique, E. Balas’ Algorithm for 0-1 Programming.
Goal Programming: Lexico-graphic and Weighted Vector Approach for Multiobjective
Linear Programming Problems.
Books suggested:
1. Bazaraa, M.S. and C.M. : Non-Linear Programming,
Shetty (Theory and applications)
John Wiley and sons, 1993.
2. Hadley, G. : Non-linear and Dynamic Programming,
Addison Wesley, 1964.
3. Hu Te : Integer Programming and Network
Flows, Addison Wesley, 1970.
4. Kunzi, H.P. : Non-linear Programming, Blaisdell,
Amsterdam, 1966.
5. Ignizio, James P. : Linear Programming in Single and
Multiple Objective Functions, Prentice Hall,
NJ, 1994.
6. Cohon, J.L. : Multiobjective Programming and
Planning, Academic Press, NY, 1978.
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7. Bellman, R. : Dynamic Programming, Princeton
University Press, NJ, 1965.
Course – XII : Software Engineering
A historical overview of software technology, Software production and its difficulties.
Software life cycle models, Stepwise Refinement, CASE and Other Tools of the Trade.
Modularity and Objects, Requirements analysis, Requirements specification methods,
Software planning and project management, Software design.
Software verification, validation, and testing, Introduction to Software Reliability,
Importance of Software testing, Difference between hardware and software reliability,
Software Reliability and Availability, Modelling Software Reliability and its uses,
Markovian models, NHPP models, Parameter estimation, Reliability of Modular
software, Introduction to COTS.
Release time problems, Release time problem based on cost criterion, Reliability
criterion, Cost-reliability criterion, Penalty cost, Testing effort, Random life cycle,
Warranty and risk cost, Bicriterion release policy.
Software implementation and integration, Software maintenance.
Case Studies.
Books suggested :
1. Schach, S.R. : Classical and Object-Oriented Software
Engineering, Fourth ed., WCB/McGraw-
Hill, New York, NY 1998.
2. Pfleeger, S.L. : Software Engineering : Theory and Practice,
Prentice Hall, NJ, 1998.
3. Sommerville, I. : Software Engineering, Fifth edition,
Addison- Wesley, 1996.
4. Shooman, M.L. : Software Engineering, McGraw Hill Book
Co., 1983.
5. Musa, J.D., Iannino. A. : Software Reliability: Measurement,
and Okumoto, K. Prediction and Application, McGraw Hill
Book Co., 1987.
6. Kapur, P.K., Garg, R.B. : Contributions to Hardware and Software and
Kumar, S. Reliability, World Scientific, Singapore,
1999.
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7. Kuo, W., Prasad, V.R. : Optimal Reliability Design : Fundamentals
and Tillman, F.A. and Applications, Cambridge University Press,
Hwang, C.L. 2001.
Course - XIII and XIV (i) : Advanced Mathematical Programming
Feasible direction method. Rosen’s gradient Projection method, Generalized convexity
and their properties, Fritz-John’s generalized optimality conditions, Duality in convex
programming, Stochastic, Fractional, Indefinite and Geometric Programming. Nondifferentiable
Programming: Optimality conditions and duality relations. Multi-objective
linear programming : Vector maximum and Interactive approaches.
Books suggested :
1. Avriel, M. : Nonlinear Programming : Analysis and Methods,
Prentice Hall Inc. NJ, 1976.
2. Zeutendijk, G. : Methods of Feasible Direction, Elsevier Publishing
Co., 1960.
3. Bazaraa, M.S. and : Non-Linear Programming : Theory and
Shetty, C.M. Algorithms, John Wiley& Sons, 1993.
4. Steuer, R.E. : Multiple Criteria Optimization – Theory,
Computation and Applications, John Wiley and
Sons, N.Y., 1986.
5. Ignizio, James P. : Linear Programming in Single and Multiple
Objective Functions, Prentice Hall Inc., 1994.
6. Mangasarian, O.L. : Nonlinear Programming, McGraw Hill, 1969.
Course - XIII and XIV (ii) : Applied Queueing Systems
Probability distribution of phase type. Quasi Birth and Death processes, G/PH/I queueing
models and their algorithmic solution.
Combinatorial method and its application in queueing theory.
Duality principle of queueing theory. Introduction to different queueing network models.
Use of queueing theory in manufacturing systems. Queueing theory in practice.
Individual and social optimization of Markovian queueing models. M/G/l model with
server’s vacations and different priorities.
Case Studies.
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Books suggested :
1. Buzacott, J. A. : Stochastic Models of Manufacturing
and Shanthi Kumar, J.O. Systems, Prentice Hall, 1993.
2. Medhi, J. : Stochastic Models in Queueing Theory,
Academic Press, Inc., 1992.
3. Neuts, M.F. : Matrix Geometric Solutions in Stochastic
Models, John Hopkins, Univ. Press London,
1981.
4. Taha, H.A. : Operations Research : An Introduction : 5th
Edn., Maxwell Macmillian International,
1992.
5. Takacs, L. : Combinatorial Methods in the Theory of
Stochastic Processes, John Wiley, New
York, 1967.
6. Takagi, H. : Queueing Analysis, Vol. I, Elsevier Science
Publishers, North Holland, 1991.
Course-XIII and XIV (iii) : Advanced Inventory Management
Dynamic inventory models, Probabilistic reorder point inventory models with and
without lead time. Distribution free analysis, Minmax solution of inventory model,
Capacity expansion and warehousing problem, Periodic review and continuous review
models. Two bin inventory system, Inventory management of items with deterioration.
Production and production functions, Production planning and inventory management,
Planning and control in multiechelon inventory management. Planning and control in
multiechelon inventory system. Material management, Material planning and handling,
Purchasing function, Material Requirement Planning.
Books suggested:
1. Arrow K.J. Karlins : Studies in the Mathematical Theory of Inventory
and Scarff. H. and Production, Stanford University Press, 1958.
2. Gokaran B.R. and : Essentiality of Material Management, Samaiya
Pylee M.V. Publication, 1975.
3. Johnson L.A. and : Operations Research in Production Planning,
Montgomery, D.C. Scheduling and Inventory Control, John Wiley,
1974.
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4. Love, Stephen : Inventory Control, McGraw Hill, 1979.
5. Plossl, G.W. : Production and Inventory Control : Principles and
Techniques, Prentice Hall, 1986.
6. Schwang, L.B. : Multi-level Production Inventory Control System –
Theory and Practice, TIME Publication, 1981.
7. Starr, M.K. and
Miller D.W. : Inventory Control - Theory and Practice, Prentice
Hall, 1962.
8. Hillier, F.S. and
Liberman, G.J. : Operations Research, Holden Day, 1996.
9. Naddor, E. : Inventory Systems, John Wiley Sons, 1963.
Course- XIII and XIV (iv) : Applied Reliability Methods
Part-A
System Modelling : Markov Renewal Process (Semi-Markov Process), Applications to
analyse 2-unit and multiunit systems, Preventive Maintenance policies and Ordering
policies for these systems. Generalized availability measures, Replacement policies and
Ordering policies under extended Minimal Repair, Application of these policies to
Computing Systems.
Part-B
Reliability in Design : Failure Mode Effects & Criticality Analysis (FMECA), Fault Tree
Analysis (FTA).
Probability Plotting : Probability plotting techniques, Straight line fitting, Censored plots
for Lognormal, Weibull, Extreme value and Binomial distributions.
Quality Systems : Principles & concepts of Quality Management, and its implementation.
Total Quality Management, Quality motivation & reward, Quality system standards
(ISO-9000).
Human Reliability Modelling: Concept of human error, types & causes of human error.
Human reliability modelling in continuous time, Human error prediction technique.
Computerised Methods : Reliability evaluation software.
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Books suggested:
1. O’ Connor, Patrick D.T. : Practical Reliability Engineering, John
Wiley, 1991.
2. Villemeur, Alain : Reliability, Availability, Maintainability,
and Safety Assessment, John Wiley, 1991.
3. Kanji, Gopal K. and Asher, : Total Quality Management Process :
Mike A Systematic Approach, CARTAX
Publishihg Co., 1993.
4. Lewis, E.E. : Introduction to Reliability Engineering, John
Wiley & Sons, 1987.
5. Osaki, S. : Stochastic System Reliability Modelling,
World Scientific Publications, 1985.
6. Srinivasan, S.K. & : Probabilistic Analysis of Radundant
Subramanian, R. Systems, Springer-Verlag, 1977.
7. Kapur, P.K., Garg, R.B. : Contributions to Hardware and Software,
and Kumar, S. Reliability, World Scientific, Singapore,
1999.
8. Dhillon, B.S. & : Engineering Reliability : New Techniques
Chanan Singh & Applications, John Wiley & Sons, 1981.
9. Kececioglu, Dimitri : Reliability Engineering Hand Book Vol. 2.,
Prentice Hall, 1991.
10. Gertman, D.L. and Blackman : Human Reliability and Safety Analysis
H. S. Data Handbook. John Wiley, 1994.
11. Neufelder, Ann Marie : Ensuring Software Reliability, Marcel
Dekker, 1993.
12 . Sahner, R.A. and : Performance and Reliability Analysis of
Trivedi, K. S. Computer Systems, Kluwer Academic Press,
1996.
Courses -XIII and XIV (v) : Marketing Research
Marketing Research and its objectives, Methods of collecting Primary and Secondary
data; Marketing Research as a Cost-incurring function- Bayesian approach. Analysis of
the data. Consumer behaviour Marketing strategies. Application of Cluster analysis,
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Discriminant Analysis and Factor analysis and Automatic Interaction Detection to
marketing problems. Studies relating to Pricing, Promotion (Diffusion models),
Purchasing and distribution decisions.
Cojoint Analysis, Multidimensional Scaling.
Experimental design and Analysis of variance.
Books suggested:
1. Boyd, Harper W., : Marketing Research -Text and Cases,
Westfall, Ralph and Richard D. Irwin, LC, 1999.
Starch, Stanley F.
2. Green, P.E., Tull, D.S. : Research for Marketing Decisions,
and Album, G. Prentice Hall of India, 1999.
3. Sethna, Baheruz N. and : Research Methods in Marketing and
Leonard Groeneveld Management, Tata McGraw Hill
Publishing Co. Ltd.1984.
4. Vijay Mahajan & : Models for Innovation Diffusion
Peterson, Robart A. and Related Research Papers, SAGE
Publication, 1990.
5. Tull, D.S. and : Marketing Methods-Measurement and
Hawkins, D.L. Methods, Prentice Hall of India, 1993.
Course- XIII and XIV (vi) - Financial Management
Elements of Financial Management : Financial Analysis and Planning, Capital Budgeting
Decisions under certainty and uncertainty, Application of Goal Programming in Capital
Budgeting Decisions. Cost of Capital, Capital Structure and Dividend Policies. Working
Capital Management, Short term and Long term Financial Planning, Introduction to
Portfolio Management. Application of Stochastic Processes in Finance.
Case studies.
Books suggested:
1. Brigham, E.F., Gapenski, : Financial Management : Theory and
L.C. and Michael C.E. Practice, The Dryden Press, 9th edi., 1998.
2. Khan, M.Y. and Jain, P.K. : Financial Management, Tata McGraw
Hill Pub. Co., New Delhi, 2000.
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3. Clark, J.J., Hendland, T.J. : Capital Budgeting: Planning and
and Pritchard R.E. Control of Capital Expenditures,
Prentice Hall, Englewood Cliffs, NJ,
1986.
4. Donaldson, G. and Bertrand, F. : Corporate Debt Capacity : A Study
of Corporate Debt Policy and the
Determination of Corporate Debt
Capacity, Beard Books, 2000.
5. Fischer, D.E. and Jordan, R.J. : Security Analysis and Portfolio
Management, Prentice Hall of India,
1995.
6. Levy, H. and Sarnat, M. : Capital Investment and Financial
Decisions, Prentice Hall, Englewood
Cliffs, NJ, 1982.
7. Mao, J.C.T. : Quantitative Decision of Financial
Decisions, McMillan, NY, 1969.
8. Van Horne, J. C. : Financial Management and Policy,
Prentice Hall, Englewood Cliffs, NJ,
11th edi., 1977.
9. Yadav, R.A. : Financial Ratios and the Prediction
of Corporate Failure Concept, New
Delhi, 1987.
Course- XIII and XIV(vii) : Theory of Control
Fundamentals of optimal control, Problem formulation, Indentification and control,
Mathematical models of continuous and discrete time optimal control problems,
Necessary and sufficient conditions for optimality (discrete and continuous), Some
special continuous time optimal control problems, Relationship of the Maximum
Principal to Dynamic Programming, Computational methods, Stochastic control.
Case Studies.
Books suggested:
1. Citron, S.T. : Elements of Optimal Control, Holt Rinehart
and Winston, 1969.
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2. Pontryagin, L.S. : The Mathematical Theory of Optimal Processes,
John Wiley, 1962.
3. Lee, E.B. and Markue : Foundation of Optimal Control, John Wiley, 1967.
4. Kirk, D. : Optimal Control Theory : An Introduction, Prentice
Hall, 1970.
5. Bryson and Yo-Clei : Applied Optimal Control, Cimu and Company
Ho. 1960.
6. Seirstad, A. : Optimal Control with Economic Applications,
and Sydsater, K. North Holland, 1987.
7. Vidal, R.V.V. : Notes on Static and Dynamic Optimization,
IMSOR, Denmark, 1978.
Course - XIII and XIV (viii) : WEB Programming using JAVA
Part - (a) Theory
Introduction to Java Programming, Basic Syntax & Structure, Applets, Control
Structures, Methods, Arrays, Strings, Object Oriented Programming Concepts (Objects,
Classes, Inheritance), GUI Component (Panels and Frames), Multimedia (Sound,
Graphics, Images and Animation), Error and Exception Handling, Multithreading and
Input/Output Streams.
Introduction to Internet, HTML and E-commerce.
Books suggested:
1. Deitel, H.M. and Deitel, P. J. : JAVA, How to Program, Prentice
Hall, 2000.
2. Bruce, E. : Thinking in Java, Prentice Hall,
1998.
3. Mary Campione and Kathy : The Java Tutorial : Object Oriented
Wirath Programming for the Internet,
Addison Wesley, 1996.
Part - (b) Practical based on part (a)
21
Course- XIII and XIV (ix) : Data Warehousing and Data Mining
Overview of Data Warehouse, Online Analytical Processing (OLAP). Introduction to
Data Mining, The Knowledge in Databases (KDD) process, Limitation of traditional
query tools. Association rules, Classification, Clustering, Regression, Patterns, Time
series. Measuring predictive performance, Efficiency, Data preparation, Data Reduction,
Mathematical Solutions, Statistical Methods, Distance Solutions. Decision Trees,
Decision Rules, Neural Networks, Genetic Algorithms. Text mining, Text categorization.
Mining Web Logs.
Case Studies.
Books suggested:
1. Fayaad, U.M., Piatetsky-Shapiro. G. : Advances in Knowledge
Smyth, P. and Uthurusamy, R. Discovery and Data Mining,
MIT Press, 1996.
2. Berry, M.J.A. and Linoff, G. : Data Mining Techniques for
Marketing – Sales and Costumer
Support, John Wiley, 1997.
3. Berson, A. and Stephen, J. S. : Data Warehousing, Data Mining and
OLAP, McGraw Hill, 1997.
4. Adriaans, P. and Zantinge, D. : Data Mining, Addison Wesley, 1996.
For more details, visit http://www.du.ac.in/course/syllabi/mamsc-or.pdf
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