|
1 |
The student should be familiar with the technique of formulating mathematical models. |
|
2 |
The student should distinguish the simple two-stage method and the issue of presumption. |
|
3 |
To familiarize the student with the concept of optimization and sensitivity analysis of linear programming problems and their applications. |
B. Mental (skills)
The mental skills that the student acquires on analysis after studying the course successfully, and the ability to think creatively, identify and solve problems are:
|
1 |
Deduces the mathematical model of linear programming problems. |
|
2 |
Interprets mathematical rules and formulas to describe linear programming problems. |
|
3 |
Apply appropriate technical solutions to the problem and link the system of constraints with their basic solutions. |
C. Practical & Professional (Skills)
The skills that the student must acquire when studying the course successfully, in order to enable him to use what he has studied in professional applications, are:
|
1 |
The student should design mathematical models for verbal problems in the field of economics and production ... etc |
|
2 |
The student should diagnose the defect and error in the problems of linear programming (simplified method) and treat them. |
|
3 |
The student should use computer programs to solve sensitivity analysis problems in linear programming. |
D. Generic (and transferable skills)
General skills or skills that can be used in the fields of work that the student must acquire when studying the course successfully, so that they can be applied in any field are:
|
1 |
The graduate's ability to work in groups in the applied field. |
|
2 |
Dealing with computer programs and using ready-made packages. |
|
3 |
Ability to think, discuss and express an opinion. |
Teaching and learning methods
The methods and methods used in teaching the course are:
- Theoretical lectures
- Scientific exercises and modeling
- Training in a panel discussion on problem solving and exercises.
Methods of assessments
The types of assessment used in the process of teaching and learning the course to ensure that they achieve learning outcomes are:
|
|
Rating No. |
Evaluation methods |
Evaluation Duration |
Evaluation weight |
Percentage |
Rating Date (Week) |
|
|
|
First Assessment |
Duties (1) |
Determined by the professor |
Determined by the professor |
5% |
Before the first test |
|
|
|
Second Assessment |
First test |
An hour and a half |
25 scheduled |
20% |
Sixth |
|
|
|
Third Assessment |
Duties (2) |
Determined by the professor |
Determined by the professor |
5% |
Before the second test |
|
|
|
Fourth Assessment |
Second test |
An hour and a half |
25 scheduled |
20% |
Eleventh |
|
|
|
Final Evaluation |
Final Exam |
Two hours |
All Course |
50% |
End of Semester |
|
|
Total |
100 degree |
100% |
|
||||
(References )
|
Bibliography |
Publisher |
Version |
Author |
Where it is located |
|
Rapporteur notes |
|
Translated note |
Course Professor |
For the textbook |
|
Textbooks |
ELLS. H |
Linear and Nonlinear Programming |
R.Hartly |
Department Library |
|
Help Books |
- |
Any books with the same title as the scheduled book |
- |
- |