MM405E : linear programming

Department

Academic Program

Type

Elective

Credits

Prerequisite

Overview

This course includes how to formulate mathematical models for production and service issues, knowledge of the components of contextual linear programming problems, analysis of context problems, post-optimization analysis, and benefit from this course in understanding some of the vocabulary of the numerical analysis course.

Intended learning outcomes

1. To become acquainted with the technique of formulating mathematical models. 2. To recognize the concept of optimization for linear programming issues and its applications. 3. To solve linear programming issues in different ways. 4. To be able to solve the problems associated with linear programming issues and ways to solve them.

Teaching and learning methods

Giving lectures, panel discussions and discussions.

Methods of assessments

Homework, midterm exam, final exam.

(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)