MICRO-CREDENTIAL IN FUNDAMENTALS OF OPERATIONS RESEARCH

About this Module

What you will learn

This course introduces students to a variety of operations research techniques in decision-making. It emphasizes the formulation of problems and the interpretation of solutions Linear programming (LP) is a powerful optimization technique that is widely used in operations research to find the best solution to a problem subject to certain constraints. It is a mathematical technique that can help you to maximize or minimize a linear objective function while ensuring that a set of linear constraints is satisfied. In simple terms, it is a method of allocating limited resources among different activities in a way that optimizes a certain objective. The goal of the LP problem is to find the values of the decision variables that maximize (or minimize) the objective function while satisfying all the constraints. Linear programming problems can be solved using a variety of methods, including the graphical method, simplex method, and interior point methods. The graphical method is suitable for problems with two decision variables, while the simplex method is used for more complex problems with multiple decision variables.

What skills you will gain

Not applicable

Total contents and assessments

Not applicable

Module Details

CLUSTER : Science & Technology ( ST )
MODE/DURATION : Flexible
LENGTH : 2 days
EFFORT : 4
LEVEL : Beginner
LANGUAGE : English
CERTIFICATE : Not applicable
CPD POINT : 0
PRICE : Free

Associated Course (s) :
No Course

 Syllabus

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

No details provided

Our Instructor

PROFESOR MADYA DR MOHD ZAKI BIN AWANG CHEK

Course Instructor
UiTM Kampus Tapah
4.3 (average sufo) instructor rating 48 course(s)

NOR RASHIDAH BINTI PAUJAH @ ISMAIL

Course Instructor
UiTM Kampus Tapah
4.3 (average sufo) instructor rating 12 course(s)

NORHASLIZA BT AHMAD

Course Instructor
UiTM Kampus Tapah
4.3 (average sufo) instructor rating 8 course(s)

DR. FARIDAH BINTI ZULKIPLI

Course Instructor
UiTM Kampus Tapah
4.3 (average sufo) instructor rating 10 course(s)

ISMA LIANA BINTI ISMAIL

Course Instructor
UiTM Kampus Tapah
4.3 (average sufo) instructor rating 21 course(s)