COP4472 Wissen-IOT and Industry 4.0 FrameworkBahçeşehir UniversityDegree Programs SOFTWARE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
SOFTWARE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
COP4472 Wissen-IOT and Industry 4.0 Framework Spring 3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. GÜL TEKİN TEMUR ASLAN
Course Objectives: Industry 4.0 is a program designed to introduce to the participants about the key design principles and components of the new revolution, its key challenges, and the new potential opportunities for the entire value chain of the implementation. In the current industry environment, providing high- end quality service or product with the least cost is the key to success and industrial factories are trying to achieve as much performance as possible to increase their profit as well as their reputation. In this way, various data sources are available to provide worthwhile information about different aspects of the factory. In this stage, the utilization of data for understanding current operating conditions and detecting faults and failures is an important topic to research. In contrast, in an Industry 4.0 factory, in addition to condition monitoring and fault diagnosis, components and systems are able to gain self-awareness and self-predictive, which will provide management with more insight on the status of the factory You can extend this area as much as it is necessary.

Learning Outcomes

The students who have succeeded in this course;
At the end of the course, you will be able to:
1. Utilize manufacturing and engineering techniques, and skills
2. Understand the relation between technological concepts of Industry 4.0
3. Improve cost, quality and delivery with efficient and effective understanding of Industry 4.0
4. Identify and utilize key performance metrics for technology pillars
5. Recognize and mitigate the upcoming risks of future technologies
6. Understand the implications, challenges and opportunities of organizational dynamics
within Industry 4.0

Course Content

Globalization and Management of New Technologies
Functional Aspects of Technologies
Defining Industry 4.0
The Enablers of the New Revolution
Industry 4.0 Framework and Main Idea
Introduction to the 9 Pillars of Industry 4.0
Pillars 1-4 (Supply Chain, IoT, Cloud, Big Data Analytics)
Pillars 5-9 (Cybersecurity, Augmented Reality, Additive Manufacturing, Horizontal & Vertical Integration, Autonomous Robots)
Technology Potential of Intelligent Objects
Green Energy and Technology
Convergence of Operational Technology and Information Technology
Creating Your Own Industry 4.0 Model
Cybersecurity for Industry 4.0
Smart Manufacturing for the Future

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Globalization and Management of New Technologie
2) Function Aspect of Technologies
3) Defining Industry 4.0
4) The Enablers of the New Revolution
5) Industry 4.0 Framework and Main Idea
6) Introduction to 9 Pillars of Industry 4.0
7) Pillar 1 – 4 (Supply Chain, IoT, Cloud, Big Data Analytics)
8) Pillar 5 – 9 (Cyber Security, Augmented Reality, AdditiveManufacturing, Horizontal &Vertical Integration,Autonomous Robots) Technology Potential of Intelligent Objects
9) Mid Term
10) Green Energy and Technology
11) Convergence and Operational Technology and Information Technology
12) Make Your Industry 4.0
13) Cybersecurity for Industry 4.0
14) Smart Manufacturing for the Future

Sources

Course Notes / Textbooks: https://library.oapen.org/bitstream/id/fa28a2ab-2770-4c5b-b756-c01c7e4c295d/external_content.pdf
https://eplibrary.libguides.com/EPOL/SR/Industry-4/e-books
https://www.academia.edu/115810410/Industry_4_0_The_Industrial_Internet_of_Things?auto=download
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119932475
References: https://library.oapen.org/bitstream/id/fa28a2ab-2770-4c5b-b756-c01c7e4c295d/external_content.pdf
https://eplibrary.libguides.com/EPOL/SR/Industry-4/e-books
https://www.academia.edu/115810410/Industry_4_0_The_Industrial_Internet_of_Things?auto=download
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119932475

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 10
Homework Assignments 1 % 10
Presentation 1 % 10
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Special Course Internship (Work Placement) 1 10 10
Project 1 30 30
Homework Assignments 1 30 30
Midterms 1 15 15
Final 1 20 20
Total Workload 147

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Be able to specify functional and non-functional attributes of software projects, processes and products.
2) Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.
3) Be able to develop a complex software system with in terms of code development, verification, testing and debugging.
4) Be able to verify software by testing its program behavior through expected results for a complex engineering problem.
5) Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation.
6) Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7) Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams.
8) Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems.
9) Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system.
10) Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities. 4
11) Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life. 3
12) Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13) Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions. 3