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Quantitative Techniques for Business Decisions Practical [1]

Paper Code: 
CBBA 502
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to –

 

  • Enable the students to acquire knowledge of all the statistical aspects for business decisions.
  • Learning quantitative methods of decision making methods under uncertainty and game theory.

 

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course Title

CBBA 502

Quantitative Techniques for Business Decisions Practical

CO 227: Students will be able to develop linear programming (LP) models.

CO 228: Students will be able to Use Transportation models for Airline crew management

CO 229: Students will learn scheduling of sales trips in optimal way using transshipment model

CO 230: Students will be able to use CPM and PERT techniques.

CO 231: Students will learn the decision making methods under uncertainty and risk with the help of decision trees.

Approach in teaching:

Interactive Hours, Discussion, Tutorials, Reading assignments, Demonstration

 

Learning activities for the students:

Self learning assignments, Effective questions, Seminar presentation, Group tasks

Class test, Semester end examinations, Quiz, Assignments, Presentation, Individual and group projects

 

6.00
Unit I: 
Unit I

Case Study/ Team Project/ Application Based Questions on special cases of Linear Programming Problem: Multiple solution, No Solution, Infinite Solution, degenerate solution

6.00
Unit II: 
Unit II

Case Study/ Team Project/ Application Based Questions on Transhipment Model & Airline Crew Management Problem

6.00
Unit III: 
unit III

Case Study/ Team Project/ Application Based Questions based on Network Crashing and Resource Allocation

6.00
Unit IV: 
Unit iv

Case Study/ Team Project/ Application Based Questions based on Decision Tree Analysis

6.00
Unit V: 
Unit v

Case Study/ Team Project/ Application Based Question and Power Point Presentation based on Game Theory

Essential Readings: 

• Mathur, Khandelwal, Gupta, Gupta, Operational Research, Ajmera Book Company, Jaipur
• Agarwal, N.P., and Agarwal, Sonia, Quantitative Techniques for Management, Ramesh Book Depot, Jaipur
• Agarwal, N.P.,Operation Research, Ramesh Book Depot, Jaipur
• Vohra, N. D., Quantitative Techniques in Management, Tata McGraw Hill, New Delhi

References: 

• Taha, Hamady A ,Operational Research An Introduction, Prentice Hall of India, New Delhi
• Kapoor, V. K., Operational Research, Sultan Chand & Sons, New Delhi
• Nag, N. K., Quantitative Methods, Kalyani Publishers, Jaipur
• Srivastava, U. K., Shenoy, G.R., and Sharma, S. C., Quantitatives techniques for Managerial Decisions, New Age International

E-Resources:

• http://www.universalteacherpublications.com/univ/ebooks/or/index1.htm [2]
• https://www.academia.edu/ [3]
• https://www.slideshare.net/ [4]

Journals:

• https://www.ajol.info/index.php/afst/index [5]
• https://www.amu.ac.in/miscellaneous/the-aligarh-journal-of-statistics/ho... [6]
• https://in.sagepub.com/en-in/sas/calcutta-statistical-association-bullet... [7]

Academic Year: 
2022-2023 [8]

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Gurukul Marg, SFS, Mansarovar, Jaipur 302020, (Raj.) India Phone:- +91-141-2400160-61, 2397906-07, Fax: 2395494, 2781158

Source URL: https://www.management.iisuniv.ac.in/courses/subjects/quantitative-techniques-business-decisions-practical-6

Links:
[1] https://www.management.iisuniv.ac.in/courses/subjects/quantitative-techniques-business-decisions-practical-6
[2] http://www.universalteacherpublications.com/univ/ebooks/or/index1.htm
[3] https://www.academia.edu/
[4] https://www.slideshare.net/
[5] https://www.ajol.info/index.php/afst/index
[6] https://www.amu.ac.in/miscellaneous/the-aligarh-journal-of-statistics/home-page
[7] https://in.sagepub.com/en-in/sas/calcutta-statistical-association-bulletin/journal202488#description
[8] https://www.management.iisuniv.ac.in/academic-year/2022-2023