MCM Master of Computer Management

University Syllabus Course and Classes For MCM Quality Techniques & Operation Research

Atlanta Computer Institute Nagpur conducts Tuition Classes for MCM Part 1 First semester MCM Part 1 second semester MCM Part 2 third semester and MCM Part 2 fourth semester for all universities in India . The Following syllabus is of Nagpur University. Final Year Projects Training is also given to MCM Students.

Semester 2 MCM  New Syllabus 2016 -17. 

Paper - III:

Quantity Techniques & Operation Research

Introduction to statistics - Origin and growth of statistics, meaning of statistics, Definitions of statistics, Characteristics of statistics, Main division of statistics, Nature of statistics: a Science or an Art, Scope of statistics , relation of statistics to other sciences, Function of statistics, Importance of statistics, Limitations of statistics, Distrust Misuse of statistics, Statistical thinking, statistical inferences. Measures of central Tendency or Averages - Definition and meaning of average, Qualities of good average, Types of averages, Arithmetic mean, median, Mode, geometric mean ,harmonic mean, Relation among mean ,median and mode, Relation among arithmetic mean, geometric mean and harmonic mean, Quartiles ,deciles, and percentiles. Measures of dispersion - Definition of dispersion , meaning of dispersion , purpose of dispersion, quartiles of a good Measures of dispersion, Measures of dispersion, range, quartile deviation or semi-inter quartile range, mean deviation or average deviation, standard deviation or root-mean square deviation, co-efficient of variation, variance, combined standard deviation, relation among quartile deviation, mean deviation and standard deviation, Lorenz curve—graphical presentation of dispersion.

Correlation Analysis - Meaning of correlation, definition of correlation, usefulness of correlation analysis, types of correlation, co-efficient of correlation , measurement of correlation, probable error of co-efficient of correlation, standard error of co-efficient of correlation, co-efficient of determination, correlation ratio. Regression Analysis -Introduction, meaning of regression, definition of Regression, usefulness of Regression analysis, types of Regression, Regression lines, Regression equation, Regression co-efficients, standard erroe of estimate (SEE), ratio of variation, galton graph, limitations of Regression analysis, distinguish between correlation and Regression. Probability Analysis - Introduction, meaning of Probability, properties of Probability, importance of Probability, Probability related events, theorems of Probability, fundamental rules of Probability, calculation of Probability.

Operation Research: An Introduction - Operation Research - Quantitative approach to decision making, The history of Operation Research, Definition of Operation Research, Characteristics of Operation Research approach, Applications of Operation Research, Computer software for Operation Research. Linear Programming: Application & Model Formulation - Introduction, Structure of linear programming model, Advantage of using linear programming, Limitations of linear programming, Application areas of linear programming, General mathematical model of linear programming problem, Guidelines on linear programming model formulation, Example of linear programming model formulation. Linear Programming: The Graphical Method -Introduction, Important definitions, Graphical solution methods of LP problem. Linear
Programming: The Simplex Method - Introduction, Standard form of an LP problem, Simplex algorithm (Maximization & Minimization Case), Types of linear programming solutions.
Transportation Problem - Introduction, Mathematical model of transportation problem, Methods of finding initial solution. Assignment Problem - Introduction, Mathematical model of statement assignment problem, Solution methods of assignment problem (Hungarian Method).
MCM Syllabus RTMNU
Decision Theory and Decision Trees - Introduction, Steps of decision making process, Types of decision making environments, Decision making under uncertainty, Decision
making under risk, Decision trees analysis, Decision making with utilities. Theory of Games - Introduction, Two Person zero sum games, Pure strategies (Minimax and minimum principles): games with saddle point, Mixed strategies: game without saddle
point, The rules of dominance, Solution methods for games without saddle point. Project management: PERT and CPM - Introduction, Basic difference between PERT and CPM, Phases of project management, PERT/CPM network components and precedence relationships, Critical path analysis, Project scheduling with uncertain activity times, Project time-cost trade-off, Updating of the project progress. Replacement and Maintenance Models - Introduction, Types of failure, Replacement of items whose efficiency deteriorates with time, Replacement of items that fail completely, Other replacement problems.

Text Book:
1. E. Narayanan Nadar, Statistics, PHI.
2. J. K. Sharma, Operation Research - Theory & applications, Macmillan.

Reference Books:
1. P. N. Arora, S. Arora, Statistics, S. Chand.
2. Richard A. Johnson & Gouri K. Bhattavharyya, Statistics - Principles and Methods, Wiley.
3. S. C. Gupta, V. K. kapoor, Fundamentas of Mathematical Statistics, S. Chad & Sons.
4. Ken Black, Applied Business Statistics, Wiley.
5. Ravindran, Phillips & Solberg, Operation Research - Principles & Practice, Wiley.
6. R. Panneerselvam, Operations Research, PHI.
7. Prem Kumar Gupta, D. S. Hira, Operations Research, S. Chand.

New MCM Syllabus Semester Pattern  From 2016 - 17

MCM Semester 1


1.  Fundamental of Information Technology 

2.  Programming in C & OOPs Concept

3.  Introduction to Operating Systems 

4.  Computerized Accounting ( Tally ERP 9  ) 


1. Practical-I : Programming in C & Operating Systems

2. Practical-II : Tally ( ERP 9 ) & MS-Office 

MCM Semester 2


1.  Management Information Systems

2.   Core Java 

3. Quantitative Techniques & Operation Research

4.  E-Commerce and Web Designing 


1. Practical-I : Core Java 

2. Practical-II : HTML, JavaScript 


MCM Semester 3

 (A) Theory

1. Advanced Database Management System 

2. Principles & Techniques of Management

3.  Electives

               ( i )     PHP & My-SQL

              ( ii )     VB.Net 

              ( iii )     C#.Net


4.  Research Methodology

 (B) Practical

1. Practical-I : SQL & PL/SQL 

2. Practical-II : Electives 

MCM Semester 4

 (A) Theory

1. ASP.Net 

2. Electives : (i) Advanced Java

                            (ii) Android Programming

                            (iii) Python

3.  Electives :   ( i ) Big Data & Hadoop  

                             ( ii ) Software Engineering   

                            ( iii )Strategic Management

(B) Practical

1. Practical-I : ASP.Net 

2. Practical-II : Electives 

(C)  Project




BCA Bachelor Of Computer Application, BCCA, Bachelor of Commerce & Computer Application BE IT/CS, Information technology/Computer Science MCA, Master of Computer Application MCM, Master of Computer Management Diploma , Polytechnic Others,

Basic Programming

C / C++ ,


Software Testing,

Hardware & Networking

CCNA, MCSE, Hardware, Networking

Courses at Atlanta

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