Industrial Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 15271716 | System Analysis and Design | 2025 | Autumn | 7 | 3+0+0 | 0 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Prof. Murat DARÇIN |
| Instructor(s) | Asst. Prof. Murat ALKAN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Murat ALKAN | A-306 | [email protected] |
Course Content
System Concept and General Systems Theory / Process Analysis / Principles of the Systems Approach / System Dynamics / System Development Process / Preliminary Review and Feasibility Analysis / System Proposal Preparation and Presentation / System Analysis / System Design / System Implementation / Transition to a New System
Objectives of the Course
The aim of this course is to teach students the systems approach and system development processes in a comprehensive manner. By understanding system and process management concepts in depth, students learn to develop holistic approaches to problems, analyze various industrial problems and produce applicable solutions in line with these analyses. In addition, by getting to know the operation of consumer-to-consumer systems and the development processes of such systems, they gain the skills to produce effective solutions to the complex problems they may encounter in today's business world. This course aims to prepare students to become successful professionals by developing their systems thinking and management skills.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses | X |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Knowledge of mathematics, natural sciences, fundamental engineering, computational sciences, and industrial engineering-specific subjects; the ability to apply this knowledge to solve complex industrial engineering problems. | 5 |
| P2 | The ability to define, formulate, and analyze complex industrial engineering problems using fundamental science, mathematics, and engineering knowledge, while keeping in mind the relevant UN Sustainable Development Goals. | 5 |
| P3 | The ability to design creative solutions to complex industrial engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, while considering realistic constraints and conditions. | 5 |
| P4 | The ability to select and utilize appropriate techniques, resources, and modern engineering and information tools, including estimation and modeling, for the analysis and solution of complex industrial engineering problems, while being aware of their limitations. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Explain systems and system components with examples. | P.1.24 | 1,5 |
| O2 | Define process, process management, and process improvement concepts. | P.1.25 | 1 |
| O3 | Analyze industrial problems using system analysis steps. | P.2.23 | 1,5 |
| O4 | Understand the system development process. | P.3.6 | 1 |
| O5 | Understand the importance of the systems approach in problem solving. | P.4.17 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to System Analysis and Design, System Concept |
| 2 | General systems model |
| 3 | Process analysis and management |
| 4 | Systems thinking |
| 5 | Complexity of systems |
| 6 | System dynamics |
| 7 | System dynamics modeling tools |
| 8 | Midterm |
| 9 | Systems approach |
| 10 | System analysis |
| 11 | Problem identification and solving approach |
| 12 | System Analysis and Evaluation Tools |
| 13 | System design, system development and installation process-1 |
| 14 | System design, system development and installation process-2 |
| 15 | System design, system development and installation process-3 |
| 16 | Final exam |
Textbook or Material
| Resources | Alan Dennis et al, Systems Analysis and Design with UML 5th Edition, John Wiley and Sons, 2016. |
| Benjamin S. Blanchard and Wolter J. Fabrycky, Systems Engineering and Analysis, Fifth Edition, Pearson Education, Published by Pearson Prentice Hall, 2014. | |
| Charles S. Wasson, System Analysis, Design, and Development: Concepts, Principles, and Practices, Wiley-Interscience publication, 2006. | |
| Lecture notes, Prof. Dr. Murat DARÇIN | |
| John W. Satzinger, Robert B. Jackson, Stephen D. Burd, Systems Analysis and Design in a Changing World 6th Edition, Course Technology, 2012. | |
| Joseph S. Valacich and Joey F. George, Modern Systems Analysis and Design 8th Edition, Pearson Education, 2017. | |
| Kenneth E. Kendall and Julie E Kendall, Systems Analysis and Design 8th Edition, Prentice Hall, 2010. | |
| Scott Tilley and Harry J. Rosenblatt, Systems Analysis and Design 11th Edition, Cengage Learning, 2017. | |
| Sterman, J.D. Business Dynamics: Systems Thinking and Modeling for a Complex World, Boston, USA: Irwin McGraw-Hill, 2000. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 70 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 2 | 10 | 20 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 2 | 8 | 16 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 20 | 20 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|
| O1 | Explain systems and system components with examples. | 5 | - | - | - |
| O2 | Define process, process management, and process improvement concepts. | 5 | - | - | - |
| O3 | Analyze industrial problems using system analysis steps. | - | 5 | - | - |
| O4 | Understand the system development process. | - | - | 5 | - |
| O5 | Understand the importance of the systems approach in problem solving. | - | - | - | 5 |