MM408E : Operations Research

Department

Department of Mathematics

Academic Program

Bachelor in Mathematics

Type

Elective

Credits

03

Prerequisite

Overview

The course aims to identify the concept of operations research and to give knowledge of the main concepts and tools on which operations research relies, such as linear programming and the formation of simplex tables graphically and algebraically, and to learn to build actual algorithms, and this is accompanied by the application of these algorithms and the skill of solving problems through the use of various methods such as transfer, network analysis, substitution, and others Easily.

Intended learning outcomes

• To introduce the student to the concept of linear programming and its relationship to the concept of operations research. • The student should know the different ways to solve transfer and allocation issues. • The student should know the concept of network analysis and how to implement projects using algorithms. • The student should explain the concept of game theory, inventory theory, economic concepts, and solution calculation.

Teaching and learning methods

lecturesolving exercises

Methods of assessments

midterm exam 40% Final exam 60%

• Comparison between different methods to solve transportation and allocation issues in terms of efficiency and speed well. • Renewing the construction of algorithms and applying them accurately. • Applying the acquired concepts to analyze, study and solve issues and apply them practically in factories and the labor market. • The ability to show the capabilities of self-learning and continuous to develop his knowledge and professional skills and work within an integrated team

(IS100)
General Mathematics 1 (MM101)
Arabic Language 1 (AR100)
PRINCIPLES OF COMPUTER 1 (CS100)
Introduction to Statistics Course (ST101)
GENERAL PSYCHOLOGY (GS100)
FOUNDATIONS OF EDUCATION (GS101)
Planar Analytic Geometry (MM103)
Arabic Language 2 (AR101)
General Mathematics 2 (MM102)
spatial engineering (MM104)
GENERAL TEACHING METHODS (GS201)
EVOLUTIONARY PSYCHOLOGY (GS200)
Introduction to Probability Course (ST102)
PRINCIPLES OF COMPUTER 2 (CS101)
Linear Algebra 1 (MM105)
(IS101)
General Mathematics3 (MM201)
sets theory (MM203)
Linear Algebra 2 (MM205)
(MM206)
EDUCATIONAL PSYCHOLOGY (GS203)
FOUNDATIONS OF CURRICULUM (GS202)
Arabic Language 3 (AR213)
vector analysis (MM204)
dynamics (MM207)
Methods of teaching mathematics (MM215)
Mathematical Statistics Course (ST202)
Arabic Language 4 (AR216)
EDUCATIONAL RESEARCH METHODS (GS301)
Ordinary differential equations 1 (MM202)
School Mathematics 1 (MM309)
ASSESSMENT AND EVALUATION (GS302)
Ordinary differential equations 2 (MM301)
Mathematical logic (MM307)
Composite analysis 1 (MM305)
NUMERICAL ANALYSIS (MM308)
Word processing (CS202)
School Math2 (MM310)
Real analysis1 (MM303)
Abstract algebra 1 (MM302)
TEACHING AIDS (GS303)
SCHOOL MANAGEMENT (GS400)
Complex analysis 2 (MM306)
real analysis 2 (MM304)
Abstract algebra 2 (MM403)
TEACHING PRACTICE 1 (GS402)
linear programming (MM405E)
Functional analysis (MM406E)
History of mathematics (MM407E)
Operations Research (MM408E)
Integral equations (MM409E)
(GS401)
Practical education 2 (GS403)
graduation project (MM404)
Partial differential equations (MM401)