QUANTITATIVE TECHNIQUES

Paper Code: 
CATG 313
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Course Outcomes (COs):

Course Outcomes

 

Learning and teaching strategies

Assessment Strategies

On completion of this course, the students will be able to:

CO71: Discriminate the characteristics of different types of decision-making environments and the appropriate decision-making approaches and tools to be used in each type.

CO72: Formulate the mathematical tools that are needed to solve optimization problems.

CO73: Design and solve transportation and assignment models.

CO74: Learn to estimate hypothetical values for a variable based on other observations. And to provide students with the opportunity to practice learned skills in real-life situations with simulation techniques

CO75:  Persuade the best strategy using game theory. Acquire skills to get a balanced and controlled waiting line.

Interactive Lectures, Discussion, Tutorials, Team teaching

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects
 

 

12.00

Quantitative Techniques- : Basic Concepts and Definitions, merits and demerits, classification of QT, Nature and Functions, Role of QT in trade and Industry, application of QT, Limitations
Transportation: Meaning, definition, Solving the problem. unbalanced problems, prohibited route, Maximization objective.
Assignment: Solving the problem. Cases of unbalanced problems, multiple optimum solutions, maximization objective , Prohibited Route

10.00

Linear Programming: Mathematical formulation of Linear Programming problems and their solution using Graphic approach and Simplex method, Duality.

8.00

Concept of Permutation and Combinations
Probability- Basic Concepts, Importance of Concept of Probability, Theorem of Probability (Additional Theorem and Multiplication Theorem), Conditional Probability, Bayes’ Theorem, Mathematical Expectation

8.00

Interpolation & Extrapolation: Newton’s methods of advancing differences, Binominal Method & Lagrange’s Method
Simulation - Methodology and Application of Simulation technique.
Monte Karlo Simulation Model- Concept and steps.

7.00

Game Theory: Games of Pure strategy, Games of Mixed strategy, Law of Dominance, Sub Game
Queuing Theory: Elements of Queuing theory, Single Channel Queuing Problem.

Essential Readings: 

• Agarwal, N. P. Quantitative Techniques . Ramesh Book Depot.
• Mathur, Khandelwal, & Gupta. Operational Research. Ajmera Book Company.
• Nag, N. K. Quantitative Methods . Kalyani Publishers
• Kapoor & Sancheti. Statistics Theory and Practice. Sultan Chand and Sons, New Delhi
• Agarwal, NP & Chaturvedi A, Advanced Business Statistucs, Ramesh Book Depot

References: 

SUGGESTED REFERENCE BOOKS:

  • Kapoor, V. K. Operational Research . Sultan Chand.
  • Kothari, C. R. Quantitative Techniques. Vikas Publishing House Pvt. Ltd.
  • Vohra, N. D. Quantitative Techniques in Management. Tata Mc Graw Hill, New Delhi.
  • Taha, Hamady A, Operational Research- An Introduction, Prentice Hall of India
  • Agarwal, N. P. Quantitative Techniques . Ramesh Book Depot.
  • Gupta, S.P. Statistical Methods .Sultan Chand & Sons New Delhi

 

e- RESOURCES:

 

REFERENCE JOURNALS:

  • Journal of Operations and Strategic Planning
  • Indian Journal of Finance
  • IUP Journal of Applied Finance
  • The Indian Journal of Commerce

 

Academic Year: 
2023-2024
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