EM511 Mathematical Modelling and Optimization

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

Information

Code EM511
Name Mathematical Modelling and Optimization
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ALİ KOKANGÜL


Course Goal

The aim of this course is to provide detailed information on mathematical programming techniques and to help students gain ability to apply these techniques using LINDO package program.

Course Content

Mathematical models used in optimization problems, numerical methods for unconstrained optimization problems with one variable, numerical methods for constrained optimization problems with one variable, numerical methods for unconstrained optimization problems with multi-variable, numerical methods for constrained optimization problems with multi-variable, applications of mathematical models,project presentation.

Course Precondition

None

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 To be able to set a mathematical model of any real life problem
LO02 Choosing the most appropriate mathematical modeling approach
LO03 Testing the validity of the model
LO04 To gain the ability of using the solution derivation, application and LINGO package program
LO05 To derive the solution in the model's computer package program


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Conducts scientific research in industrial engineering, understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth. 5
PLO02 Bilgi - Kuramsal, Olgusal Acquires detailed knowledge for methods and tools of industrial engineering and their limitations. 5
PLO03 Bilgi - Kuramsal, Olgusal Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. 4
PLO04 Bilgi - Kuramsal, Olgusal Identifies, gathers and uses necessary information and data. 4
PLO05 Beceriler - Bilişsel, Uygulamalı Has the ability to develop/propose new and/or original ideas and methods, propose new solutions for designing systems, components or processes. 4
PLO06 Beceriler - Bilişsel, Uygulamalı Designs Industrial Engineering problems, develops new methods to solve the problems and applies them. 5
PLO07 Beceriler - Bilişsel, Uygulamalı Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. 5
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. 4
PLO09 Yetkinlikler - Öğrenme Yetkinliği Completes and applies the knowledge by using limited resources in scientific methods and integrates the knowledge in the field with the knowledge form various disciplines. 5
PLO10 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. 2
PLO11 Yetkinlikler - İletişim ve Sosyal Yetkinlik Presents his/her research findings systematically and clearly in oral or written forms in national and international platforms. 4
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Understands social and environmental implications of engineering practice. 4
PLO13 Yetkinlikler - Öğrenme Yetkinliği Considers social, scientific and ethical values in data collection, interpretation and announcement processes and professional activities. 5


Week Plan

Week Topic Preparation Methods
1 Introduction to mathematical programming Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Mathematical models used in optimization problems Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Unconstrained mathematical modeling techniques Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Constrained mathematical modeling techniques Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Numerical methods for unconstrained optimization problems with one variable Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Numerical methods for constrained optimization problems with one variable Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Numerical methods for unconstrained optimization problems with multi-variable Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
9 Numerical methods for unconstrained optimization problems with multi-variable Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Numerical methods for constrained optimization problems with multi-variable Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Numerical methods for constrained optimization problems with multi-variable Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Applications of mathematical models Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Applications of mathematical models Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Project presentation Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Project presentation Preliminary research on the subject and investigation of current applications Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Preparation for the exam 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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS