Login Create Account

Back to Course Catalog

CIT425Sciences3 Unitsintermediate

Operation Research

This course introduces students to the fundamental concepts and techniques of Operations Research. It covers the development of Operations Research, modeling, mathematical programming, optimization problems, linear programming, simplex method, integer programming, multi-stage decision processes, dynamic programming, scheduling models, transportation, and assignment models. The course aims to equip students with the skills to analyze and solve complex problems in various fields.

Generate AI Study Notes

Transform this course into personalized study materials with AI

120h

Study Time

13

Weeks

9h

Per Week

intermediate

Math Level

Course Keywords

Operations ResearchLinear ProgrammingOptimizationTransportation ModelAssignment Model

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level

Builds on foundational knowledge

65%

intermediate

📊

Math Level

Moderate Math

🔬

Learning Type

Hands-on Practice

Course Topics

Key areas covered in this course

1

Development of Operations Research

2

Modelling in Operations Research

3

Mathematical Programming

4

Linear Programming

5

Simplex Method

6

Integer Programming

7

Dynamic Programming

8

Transportation Model

9

Assignment Model

Total Topics9 topics

Requirements

Knowledge and skills recommended for success

Basic Mathematics

Statistics

💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assignments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Operations Analyst

Apply your skills in this growing field

Management Consultant

Apply your skills in this growing field

Logistics Manager

Apply your skills in this growing field

Supply Chain Analyst

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

ManufacturingLogisticsSupply Chain ManagementFinanceHealthcare

Study Schedule Beta

A structured 13-week journey through the course content

Week

1

Module 1: Concepts of Operations Research

5h

Unit 1: Development of Operations Research (O.R)

5 study hours

•Read the introduction to Operations Research.
•Understand the meaning and scope of Operations Research.
•Study the historical development of Operations Research.
•Identify the importance and uses of Operations Research.
•State the limitations of Operations Research.

Week

2

Module 1: Concepts of Operations Research

5h

Unit 2: Modelling in Operations Research

5 study hours

•Understand the meaning of model in Operations Research.
•Describe the various types of models.
•Describe how to construct a model.
•State some standard Operations Research models.
•Differentiate between static and dynamic models.

Week

3

Module 2: Mathematical Programming

5h

Unit 1: Optimization Problems

5 study hours

•Understand Optimization problems.
•Understand Linear and Non-Linear Programs.
•Formulate Problems from verbal statements.
•Differentiate between Integer and Quadratic programs.
•Understand solution conventions in OR.

Week

4

Module 2: Mathematical Programming

5h

Unit 2: Linear Programming (LP)

5 study hours

•State the usefulness of linear programming in operations research.
•State the properties of a linear programming model.
•Identify some areas of application of linear programming.
•Formulate a linear programming model.
•State the usual assumptions of a linear programming model.
•Solve a two-variable linear programming model graphically.

Week

5

Module 2: Mathematical Programming

5h

Unit 3: Linear Programming (Simplex Method)

5 study hours

•Preparation of LPD for use of simplex.
•Understanding of the need of use of simplex.
•Steps involve in using a simple method.
•Preparing a simplex Table and understanding its various components.
•Demonstrating the use of simplex method for solving a LLP.
•Solving LPP using maximization problem.

Week

6

Module 2: Mathematical Programming

5h

Unit 4: Integer Programming

5 study hours

•Understand limitations of integer programming.
•Identify the methods of integer programming.
•Formulate integer programming model.
•Solve IP problems using branch and bond method.

Week

7

Module 3: Multi Stage Decision Processes

5h

Unit 1: Dynamic Programming

5 study hours

•Understand the terminologies used in dynamic programming.
•Identify the methods of dynamic programming.
•Formulate dynamic programming model.
•Solve dynamic programming problems using branch and bond method.

Week

8

Module 4: Scheduling Models

5h

Unit 1: Transportation Model

5 study hours

•Understand limitations of integer programming.
•Identify the methods of integer programming.
•Formulate integer programming model.
•Solve IP problems using branch and bond method.

Week

9

Module 4: Scheduling Models

5h

Unit 2: Assignment Model

5 study hours

•Understand the concept of assignment model.
•Solve assignment by enumeration method.
•Solve assignment by Hungarian method.

Week

10

Module 2: Mathematical Programming

10h

Unit 1: Development of Operations Research (O.R)

5 study hours

•Review the key concepts of Operations Research.
•Solve additional problems on linear programming.
•Discuss the applications of Operations Research in real-world scenarios.

Unit 2: Linear Programming (LP)

5 study hours

•Practice formulating linear programming models.
•Solve graphical linear programming problems.
•Discuss the limitations of linear programming.

Week

11

Module 2: Mathematical Programming

10h

Unit 3: Linear Programming (Simplex Method)

5 study hours

•Practice solving linear programming problems using the simplex method.
•Discuss the applications of the simplex method.
•Review the steps involved in the simplex method.

Unit 4: Integer Programming

5 study hours

•Understand the concept of integer programming.
•Discuss the limitations of integer programming.
•Review the methods of integer programming.

Week

12

Module 4: Scheduling Models

10h

Unit 1: Dynamic Programming

5 study hours

•Understand the terminologies used in dynamic programming.
•Identify the methods of dynamic programming.
•Formulate dynamic programming model.

Unit 1: Transportation Model

5 study hours

•Understand limitations of integer programming.
•Identify the methods of integer programming.
•Formulate integer programming model.

Week

13

Module 4: Scheduling Models

5h

Unit 2: Assignment Model

5 study hours

•Understand the concept of assignment model.
•Solve assignment by enumeration method.
•Solve assignment by Hungarian method.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

Access PDF Material

Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all module and unit objectives to ensure comprehensive understanding.

2

Practice formulating real-world problems into mathematical models.

3

Focus on mastering the simplex method and its variations.

4

Create concept maps linking transportation and assignment models.

5

Solve past examination questions to familiarize yourself with the exam format.

6

Allocate sufficient time for each question during the exam to maximize your score.

Related Courses

Other courses in Sciences that complement your learning

Electromagnetic Theory

Industrial Wastes And Industrial Water Treatment

Applied Entomology

View All Sciences Courses