ENM301 Mathematical Programming

4 ECTS - 2-1 Duration (T+A)- 5. Semester- 2 National Credit

Information

Code ENM301
Name Mathematical Programming
Term 2024-2025 Academic Year
Semester 5. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. MELİK KOYUNCU
Course Instructor Doç. Dr. MELİK KOYUNCU (A Group) (Ins. in Charge)


Course Goal / Objective

To develop the operations researck skills and knowledge to delve into the mathematical modelling techniques

Course Content

To review the mathematical modelling techniques, Introduction to integer programming , The application area of integer programming, Solution methodology of integer programming ( branch and boun algorithm , additive algortihm) , Dynamic programming and its applications , The solution methodology of Dynamic progrramming , Introduction to Network models, The shortest path problem , Maximum flow problem and its applications, Minumum spanning tree problem and its applications, The network models related algorithm , Solving the some manufacturing problems by netwok models , Multiobjective optimization techniques, Introduction to goal programming , The solution methodology of goal programming

Course Precondition

None

Resources

Hillier and Lieberman. Introduction to Operations Research. 10 th Edition McGraw Hill Highered Education

Notes

Winston WAYNE. Introduction to Operations Research. 4 th Edition Thomson Publication


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Having knowledge about Linear Models
LO02 Having konowledge about integer programming
LO03 Having knowledge about the network analysis
LO04 Having knowledge about the goal programming


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. 4
PLO02 Bilgi - Kuramsal, Olgusal Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. 4
PLO03 Bilgi - Kuramsal, Olgusal Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. 4
PLO07 Beceriler - Bilişsel, Uygulamalı Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. 2
PLO12 Yetkinlikler - Öğrenme Yetkinliği They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues.


Week Plan

Week Topic Preparation Methods
1 To review the mathematical modelling techniques Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Introduction to integer programming Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
3 The application areas of integer programming Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
4 Solution methodology of integer programming ( branch and bound algorithm , additive algortihm) Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Soru-Cevap, Alıştırma ve Uygulama, Anlatım
5 Dynamic programming and its applications Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
6 The solution methodology of Dynamic programming Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Midterm Exam Classical Midternl Exam Ölçme Yöntemleri:
Yazılı Sınav
8 Network Models Studying from text books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
9 The shortest path problem Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
10 Maximum flow problem and its applications Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
11 Minumum spanning tree problem and its applications Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
12 The network models related algorithm Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
13 Solving the some manufacturing problems by netwok models Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 Multiobjective optimization techniques Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Alıştırma ve Uygulama
15 Introduction to goal programming Standart lecture tools (Teaching on board and application) Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
16 Term Exams Classical Final Exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Classical Final 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 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 8 8
Total Workload (Hour) 100
Total Workload / 25 (h) 4,00
ECTS 4 ECTS

Update Time: 13.05.2024 02:10