course description for Operations Research in a B.Sc. Accounting program:

???? Operations Research (OR)

Course Description

This course introduces students to quantitative techniques and analytical methods used to solve complex business and management problems. Operations Research emphasizes the use of mathematical models, statistical analysis, and optimization methods to improve decision-making in areas such as resource allocation, production planning, inventory management, and scheduling.

Course Objectives

By the end of this course, students should be able to:

1. Understand the principles and applications of Operations Research in business.

2. Formulate real-world problems as mathematical models.

3. Apply optimization techniques such as linear programming, transportation, and assignment models.

4. Use decision-making tools under conditions of certainty, risk, and uncertainty.

5. Interpret and implement OR solutions for managerial and operational efficiency.

Course Content (Main Topics)

• Introduction to Operations Research: scope and applications in business

• Formulation of linear programming problems (LPP)

• Graphical solution method for LPP

• Simplex method and sensitivity analysis

• Transportation and assignment problems

• Network models: project management using PERT/CPM

• Decision theory: decision-making under certainty, risk, and uncertainty

• Inventory models and optimization

• Queuing theory and simulation techniques

• Applications of OR in accounting, finance, and management

Teaching Methods

• Lectures and tutorials

• Problem-solving exercises and case studies

• Use of spreadsheet and software tools for modeling (Excel Solver, LINGO)

• Group projects on real-world business applications

Assessment Methods

• Continuous Assessment (Assignments & Quizzes) – 30%

• Case Study / Project – 20%

• Final Examination – 50%

Learning Outcomes

Upon successful completion, students will be able to:

• Formulate business and management problems as quantitative models.

• Solve linear programming and optimization problems.

• Apply OR techniques to resource allocation, scheduling, and inventory management.

• Analyze results to make informed managerial decisions.

• Use OR tools to enhance operational efficiency in accounting and business processes.

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