TÜRKÇE
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Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENS254 |
| Name | Industry 4.0 and Applications |
| Term | 2017-2018 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. YUSUF KUVVETLİ |
| Course Instructor |
Doç. Dr. YUSUF KUVVETLİ
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to give information about the Industry 4.0 concept which is getting important recently and investigation of the design, planning and adoption problems that are relevant with this concept.
Course Content
Previous industry revolutions, Industry 4.0 concept, Cloud computing, Big data, Internet of things, Smart factory and facility, Artificial intelligence, New human resources, Innovation, Systems integration
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains an overview of Industry 4.0 concept |
| LO02 | Gains an overview of Industry 4.0 components |
| LO03 | Gain information about the new technologies and their adoption |
| LO04 | Gain information about the big data, cloud computing and internet of things |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. | |
| PLO02 | - | Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. | |
| PLO03 | - | Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . | |
| PLO04 | - | Gains ability to choose and apply methods and tools for industrial engineering applications. | |
| PLO05 | - | Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. | |
| PLO06 | - | Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. | |
| PLO07 | - | Can access information and to search/use databases and other sources for information gathering. | |
| PLO08 | - | Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. | |
| PLO09 | - | Can use computer software in industrial engineering along with information and communication technologies. | |
| PLO10 | - | Can use oral and written communication efficiently. | |
| PLO11 | - | Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. | |
| PLO12 | - | Has a conscious understanding of professional and ethical responsibilities. | |
| PLO13 | - | Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. | |
| PLO14 | - | Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Industry revolutions from past to today | Reading lecture notes and references about the subject | |
| 2 | Industry 4.0 concept | Reading lecture notes and references about the subject | |
| 3 | Cloud computing concept | Reading lecture notes and references about the subject | |
| 4 | Big data concept | Reading lecture notes and references about the subject | |
| 5 | Internet of things concept | Reading lecture notes and references about the subject | |
| 6 | Smart factory and facility concept | Reading lecture notes and references about the subject | |
| 7 | Smart factory and facility concept | Reading lecture notes and references about the subject | |
| 8 | Midterm Exam | Study for exam | |
| 9 | Introduction to Artificial Intelligence | Reading lecture notes and references about the subject | |
| 10 | Artificial intelligence methods | Reading lecture notes and references about the subject | |
| 11 | Artificial intelligence methods | Reading lecture notes and references about the subject | |
| 12 | Systems integration | Reading lecture notes and references about the subject | |
| 13 | New human resources era | Reading lecture notes and references about the subject | |
| 14 | Innovation management | Reading lecture notes and references about the subject | |
| 15 | Project presentations | Project preparations | |
| 16 | Final exam | Study for exam | |
| 17 | Final exam | Study for exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |