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Admission to Operational Research Programme at Delhi University 2014

Operational Research Programme 2014
Department of Operational Research, Delhi University
New Delhi

Operational Research Programme 2014
Department of Operational Research, Delhi University
New Delhi


M.Sc. Operational Research at University of Delhi, North Campus

M.Sc. Operational Research is a two-year post graduate course. The number of seats in this course is 93 (including all reservations). This course includes a number of techniques of Operational Research: Linear, Nonlinear, Parametric and Network Optimization, Queueing, Inventory, Reliability, Marketing, Quality Control etc. The curriculum emphasizes on formulation of OR models and algorithms. Students are encouraged to develop skills in setting up and analyzing Operational Research models. The course demonstrates factors and restrictions involved in building and using models for planning and management problems. Case studies, Projects and use of OR software are constituents of the course.

M.A. / M.Sc. Applied Operational Research at University of Delhi, South Campus

M.A. / M.Sc. Applied Operational Research is a two-year post graduate course. The number of seats in this course is 47 (including all reservations). This course was started in the year 1994. The curriculum lays heavy emphasis on experimental and process-oriented learning. The pedagogical tools include the use of case studies and industry oriented project work. Besides building up skills of individual decision making, lot of emphasis is laid on developing team skills and value focused decision making.

M.Phil. and Doctor of Philosophy (Ph.D.) Programmes

The Department has strong research interest in different subject areas of OR and offers M.Phil and Doctor of Philosophy (Ph.D) programmes aimed at producing quality researchers.

Note :


Course Structure of the M.Sc. Operational Research Programme

  Duration (hrs.) Sem. Exam Marks Int. Ass. Marks Total Credits
First Year : Semester I
Course 101 : Mathematical Programming-I 3 70 30 100 4
Course 102 : Inventory Management-I 3 70 30 100 4
Course 103 : Queueing System-I 3 70 30 100 4
Course 104 : Statistics-I 3 70 30 100 4
Course 105 : C++ & Unix          
(a) Theory 3 50 20 70 4
(b) Practical 3     30  
First Year : Semester II
Course 201 : Mathematical Programming-II 3 70 30 100 4
Course 202 : Scheduling Techniques 3 70 30 100 4
Course 203 : Marketing Management 3 70 30 100 4
Course 204 : Reliability & Maintenance Theory 3 70 30 100 4
Course 205 : Java Programming          
(a) Theory 3 50 20 70 4
(b) Practical 3     30  
Second Year: Semester III
Course 301 : Mathematical Programming-III 3 70 30 100  
Course 302 : Statistics-II 3 70 30 100  
Course 303 : Software Reliability 3 70 30 100  
Course 304 : Database Management System
& Visual Programming
         
(a) Theory 3 50 20 70 4
(b) Practical 3     30  
Course 305 : Any course out of the following :          
(i) A course of equivalent credit offered by another department.          
(ii) Financial Management 3 70 30 100 4
(iii) Logistics & Supply Chain Management 3 70 30 100 4
Second Year: Semester IV
Course 401-403 : Any three of the following :
(i) Marketing Research 3 70 30 100 4
(ii) Inventory Management-II 3 70 30 100 4
(iii) Queueing System-II 3 70 30 100 4
(iv) Multicriteria Decision Models 3 70 30 100 4
(v) Dynamic Optimization 3 70 30 100 4
(vi) Decision Theory 3 70 30 100 4
(vii) Portfolio Management 3 70 30 100 4
(viii) Quality Management 3 70 30 100 4
(ix) Data Warehousing and Data Mining 3 70 30 100 4
(x) A course of equivalent credit offered by another department. 3 70 30 100 4
Course 404 –405 : Project Work
The Project work will be taken under approved supervisors from amongst the members of the staff and the report is to be submitted for evaluation by April 30.

It will carry 200 marks.
  Project Report 100 marks        
  Viva-Voce 50 marks        
  Internal Assessment 50 marks     200 8

Note 1 : Each paper will carry 100 marks including 30 marks earmarked for Internal Assessment.
Note 2 : Students will be encouraged to use relevant software, viz.
LINDO/LINGO/ MATLAB/SPSS/ Mathematica, etc. during their course of study.
Note 3 : Four lectures per week will be devoted to papers 101 to 104, 201 to 204, 301 to 303 & 305 and 401-403 and three lectures per week for the theory part of papers 105, 205 & 304. Each part of practical papers 105, 205 & 304 will be assigned two practical periods per week.
Note 4 : Papers 105, 205 & 304 consists of two parts (a and b) with the following subdivision of 30 marks for Part-b :
Practical Examination : 20 marks
Oral : 05 marks
Record Book : 05 marks
Note 5 : The format and modus operandi of Internal Assessments will be decided and announced by the Department at the beginning of a semester.

Course Structure of the M.A. / M.Sc. Applied Operational Research Programme

  Duration (hrs.) Sem. Exam Marks Int. Ass. Marks Total Credits
First Year : Semester I
Course 101 : Mathematical Programming-I 3 70 30 100 4
Course 102 : Inventory Management-I 3 70 30 100 4
Course 103 : Queueing System-I 3 70 30 100 4
Course 104 : Statistics-I 3 70 30 100 4
Course 105 : C++ & Unix          
(a) Theory 3 50 20 70 4
(b) Practical 3     30  
First Year : Semester II
Course 201 : Mathematical Programming-II 3 70 30 100 4
Course 202 : Scheduling Techniques 3 70 30 100 4
Course 203 : Marketing Management 3 70 30 100 4
Course 204 : Statistics-II 3 70 30 100 4
Course 205 : Java Programming          
(a) Theory 3 50 20 70 4
(b) Practical 3     30  
Second Year: Semester III
Course 301 : Mathematical Programming-III 3 70 30 100 4
Course 302 :Reliability & Maintenance Theory 3 70 30 100 4
Course 303 :Software Engineering 3 70 30 100 4
Course 304 : Database Management System
& Visual Programming
         
(a) Theory 3 50 20 70 4
(b) Practical 3     30  
Course 305 : Any course out of the following :          
(i) A course of equivalent credit offered by another department.          
(ii) Logistics & Supply Chain Management 3 70 30 100 4
(iii) Financial Management 3 70 30 100 4
Second Year: Semester IV
Course 401-403 : Any three of the following :
(i) Marketing Research 3 70 30 100 4
(ii) Inventory Management-II 3 70 30 100 4
(iii) Queueing System-II 3 70 30 100 4
(iv) Quality Management 3 70 30 100 4
(v) Multicriteria Decision Models 3 70 30 100 4
(vi) Multicriteria Decision Models Mining 3 70 30 100 4
(vii) A course of equivalent credit offered by another department.
3 70 30 100 4
Course 404 –405 : Project Work
The Project work will be taken under approved supervisors from amongst the members of the staff and the report is to be submitted for evaluation by April 30.

It will carry 200 marks.
  Project Report 100 marks        
  Viva-Voce 50 marks        
  Internal Assessment 50 marks     200 8

Note 1 : Each paper will carry 100 marks including 30 marks earmarked for Internal Assessment.
Note 2 : Case Studies will be an integral part of teaching and evaluation in Courses 101-104, 201-204, 301-303, 305 & 401-403. Semester Theory Examination in the said courses will include a compulsory part of 20 marks towards the Case Study.
Note 3 : Students will be encouraged to use relevant software, viz. LINDO / LINGO / MATLAB / SPSS / Mathematica, etc. during their course of study.
Note 4 : Four lectures per week will be devoted to papers 101 to 104, 201 to 204, 301 to 303 & 305 and 401-403 and three lectures per week for the theory part of papers 105, 205 & 304. Each part of practical papers 105, 205 & 304 will be assigned two practical periods per week.
Note 5 : Each of papers 105, 205 & 304 consists of two parts (a and b) with the following subdivision of 30 marks for Part-b :
Practical Examination : 20 marks
Oral : 05 marks
Record Book : 05 marks
Note 6 : The format and modus operandi of Internal Assessments will be decided and announced by the Department at the beginning of a semester.

1. (a) Starting date of obtaining Application Forms for Common Entrance Test 10th March, 2014 (Centralized Registration : Common Web Portal)
(b) Last date for receipt of completed Application Forms 30th April, 2014
2 Date of Common Entrance Test Sunday, June 1, 2014 (10:00 A.M.)
3 Declaration of result of Common Entrance Test 9th June, 2014*
4 Group Discussions and Interviews 16th - 20th June, 2014*
5 Admission List End of June, 2014*
*Tentative Dates

Notes :

PART - I

This part is intended to test the candidate’s vocabulary and analytical skills at a level essential for accurate comprehension and presentation of material appropriate for this degree. The language background expected will be of the level of English at Senior Secondary Examination. The paper will include passages for comprehension, test of vocabulary (synonyms and antonyms), elementary grammar and syntax.

The section on Analytical Ability and Reasoning will include standard questions on pattern recognition, logic, Venn diagrams etc. It is not intended to be subject-specific.

PART - II

Mathematics :
Vector Space, subspace and its properties, linear independence and dependence of vectors, matrices, rank of a matrix, reduction to normal forms, linear homogenous and non-homogenous equations, Cayley-Hamilton theorem, characteristic roots and vectors. De Moivre’s theorem, relation between roots and coefficient of nth degree equation, solution to cubic and biquadratic equation, transformation of equations.

Calculus : Limit and continuity, differentiability of functions, successive differentiation, Leibnitz’s theorem, partial differentiation, Euler’s theorem on homogenous functions, tangents and normals, asymptotes, singular points, curve tracing, reduction formulae, integration and properties of definite integrals, quadrature, rectification of curves, volumes and surfaces of solids of revolution.

Differential Equations : Linear, homogenous, separable equations, first order higher degree equations, algebraic properties of solutions, linear homogenous equations with constant coefficients, solution of second order differential equations. Linear nonhomogenous differential equations.

Real Analysis : Neighbourhoods, open and closed sets, limit points and Bolzano Weiestrass theorem, continuous functions, sequences and their properties, limit superior and limit inferior of a sequence, infinite series and their convergence. Rolle’s theorem, mean value theorem, Taylor’s theorem, Taylor’s series, Maclaurin’s series, maxima amd minima, indeterminate forms.

Statistics :
Measures of central tendency and dispersion and their properties, skewness and kurtosis, introduction to probability, theorems of total and compound probability, Bayes theorem, random variables, probability mass and density functions, mathematical expectation, moment generating functions, Binomial, Poisson, Geometric, Exponential and Normal distributions and their properties, method of least squares, correlation and regression, introduction to sampling, sampling distributions and tests of significance based on t, Chisquare and F-distributions.

Operational Research :
Definition & scope of Operational Research, Formulation of simple Linear Programming Problems, Simplex method and basics of Duality.

Characteristics of Inventory System, Simple Economic Lot Size Inventory models, Reorder Level, Simple single period Stochastic Inventory Model.

Definition of Queues and their characteristics, Queueing Models with Markovian Input and Markovian Service, M/M/1 & M/M/C Queueing Models.

Definitions of Reliability, Availability, Reliability of multicomponents systems, failure time distributions: exponential and Weibull.

Computer Science :
Flowcharts and algorithms, Number system : binary, octal, hexadecimal; Truth values, Logical operations, Logic functions and their evaluation.

Computer basics, Computer generations and classifications, Fundamentals of high level languages, Fundamentals of Operating System, C Programming Language.




Source : admission.du.ac.in


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