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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| INDUSTRIAL ENGINEERING (MASTER) (WITH THESIS) | |
| Code | EM558 |
| Name | Sustainable Systems and Analytical Approaches |
| Term | 2026-2027 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ALİ KOKANGÜL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to teach the use of analytical approaches in the design and management of sustainable systems; and to develop students’ ability to model and solve sustainability-oriented decision problems using data analytics, multi-criteria decision-making, and optimization methods.
Course Content
The concept of sustainability is addressed through analytical methods. The modeling and analysis of sustainable systems are examined using data analytics, multi-criteria decision-making, optimization, and decision support systems.
Course Precondition
None
Resources
Lecture Notes
Notes
Lecture Books
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Analyzes sustainable systems. |
| LO02 | Applies data analytics techniques. |
| LO03 | Uses multi-criteria decision-making methods. |
| LO04 | Develops analytical models. |
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. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires detailed knowledge for methods and tools of industrial engineering and their limitations. | 2 |
| 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. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Identifies, gathers and uses necessary information and data. | |
| 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. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Designs Industrial Engineering problems, develops new methods to solve the problems and applies them. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. | |
| 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. | |
| 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. | |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Presents his/her research findings systematically and clearly in oral or written forms in national and international platforms. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Understands social and environmental implications of engineering practice. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Considers social, scientific and ethical values in data collection, interpretation and announcement processes and professional activities. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Sustainability and Systems Approach | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 2 | Sustainability Indicators and ESG (the three core dimensions of sustainability) | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 3 | Introduction to Data Analytics | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 4 | Data Preprocessing and Analysis | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 5 | Multi-Criteria Decision Making (AHP) | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 6 | TOPSIS and Other Methods | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 7 | Regression and Forecasting | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Classical Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Classification Methods | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 10 | Fundamentals of Optimization | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 11 | Multi-Objective Optimization | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 12 | Decision Support Systems | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 13 | Project Development | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 14 | Project Presentations 1 | Presentations | Öğretim Yöntemleri: Soru-Cevap |
| 15 | Project Presentations -2 | Presantations | Öğretim Yöntemleri: Soru-Cevap |
| 16 | Term Exams | Classical Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Classical 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 | ||