MT469 Linear Programming

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code MT469
Name Linear Programming
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. ZEYNEP ÖZKURT


Course Goal

This course aims to introduce basic ideas on linear programming problems and to solve this problems with different methods

Course Content

Linear programming problem, Geometric solutions, Solutions with analytical approach, Simplex method, Artificial variables, two-stage method, Big M method, Linear transportation problems, Optimality tests

Course Precondition

none

Resources

Elemantary Linear programming with applications, Bernard Kolman, Robert E. Beck Academik Press

Notes

Elemantary Linear programming with applications, Bernard Kolman, Robert E. Beck Academik Press


Course Learning Outcomes

Order Course Learning Outcomes
LO01 is able modelling the Linear programming problems.
LO02 evaluates geometric solutions
LO03 determines optimal solutions with analytical method
LO04 knows simplex method
LO05 applies two phrase method
LO06 is able modelling the Linear transportating problems.
LO07 applies optimallite tests


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis.
PLO02 Bilgi - Kuramsal, Olgusal Understands importance of basic consepts of Algebra, Analaysis and Topology. 2
PLO03 Yetkinlikler - Öğrenme Yetkinliği Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity.
PLO04 Bilgi - Kuramsal, Olgusal Demonstrate the ability to express the basic theories of mathematics both correctly.
PLO05 Bilgi - Kuramsal, Olgusal Understands the relationship between the different fields of mathematics and its relation to other disciplines.
PLO06 Bilgi - Kuramsal, Olgusal Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem.
PLO07 Bilgi - Kuramsal, Olgusal Comprehend and explain mathematical models such as formulas, graphs, tables and schema.
PLO08 Bilgi - Kuramsal, Olgusal Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter. 3
PLO09 Bilgi - Kuramsal, Olgusal Comprehends at least one of the computer programming languages.
PLO10 Bilgi - Kuramsal, Olgusal Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Understands the programming techniques and shows the ability to do programming.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Demonstrates the ability to study mathematics both independently and as a group. 3
PLO15 Bilgi - Kuramsal, Olgusal Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study.
PLO16 Bilgi - Kuramsal, Olgusal Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications.
PLO17 Bilgi - Kuramsal, Olgusal It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability.
PLO18 Bilgi - Kuramsal, Olgusal Gains the ability to use information technologies effectively for contemporary mathematical applications.
PLO19 Bilgi - Kuramsal, Olgusal Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields. 3
PLO20 Bilgi - Kuramsal, Olgusal Gains the consciousness of prefesional ethics and responsibility. 5


Week Plan

Week Topic Preparation Methods
1 Hyperplanes Required readings and solving problems Öğretim Yöntemleri:
Anlatım
2 Convex Sets Required readings and solving problems Öğretim Yöntemleri:
Anlatım
3 The Linear programming Problem Required readings and solving problems Öğretim Yöntemleri:
Anlatım
4 Geometric solutions Required readings and solving problems Öğretim Yöntemleri:
Anlatım
5 Analytic solutions Required readings and solving problems Öğretim Yöntemleri:
Anlatım
6 The Simplex Method Required readings and solving problems Öğretim Yöntemleri:
Anlatım
7 The Simplex Method1 Required readings and solving problems Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Required readings and solving problems Ölçme Yöntemleri:
Yazılı Sınav
9 Artifical variables Required readings and solving problems Öğretim Yöntemleri:
Anlatım
10 Two-Phase Method Required readings and solving problems Öğretim Yöntemleri:
Anlatım
11 Big M method Required readings and solving problems Öğretim Yöntemleri:
Anlatım
12 Linear Transportation method Required readings and solving problems Öğretim Yöntemleri:
Anlatım
13 Classical methods Required readings and solving problems Öğretim Yöntemleri:
Anlatım
14 Optimallite test Required readings and solving problems Öğretim Yöntemleri:
Anlatım
15 Exercises solving problems Öğretim Yöntemleri:
Soru-Cevap, Tartışma
16 Exercises2 Required readings and solving problems Öğretim Yöntemleri:
Anlatım
17 Term Exams Required readings and solving problems Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS