PSYCHOLOGY
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 :	Prof. Dr. GÜL TEKİN TEMUR
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)	To develop an interest in the human mind and behavior, to be able to evaluate theories using empirical findings, to understand that psychology is an evidence-based science by acquiring critical thinking skills.
2)	To gain a biopsychosocial perspective on human behavior. To understand the biological, psychological, and social variables of behavior.
3)	To learn the basic concepts in psychology and the theoretical and practical approaches used to study them (e.g. basic observation and interview techniques).
4)	To acquire the methods and skills to access and write information using English as the dominant language in the psychological literature, to recognize and apply scientific research and data evaluation techniques (e.g. correlational, experimental, cross-sectional and longitudinal studies, case studies).
5)	To be against discrimination and prejudice; to have ethical concerns while working in research and practice areas.
6)	To recognize the main subfields of psychology (experimental, developmental, clinical, cognitive, social and industrial/organizational psychology) and their related fields of study and specialization.
7)	To acquire the skills necessary for analyzing, interpreting and presenting the findings as well as problem posing, hypothesizing and data collection, which are the basic elements of scientific studies.
8)	To gain the basic knowledge and skills necessary for psychological assessment and evaluation.
9)	To acquire basic knowledge of other disciplines (medicine, genetics, biology, economics, sociology, political science, communication, philosophy, anthropology, literature, law, art, etc.) that will contribute to psychology and to use this knowledge in the understanding and interpretation of psychological processes.
10)	To develop sensitivity towards social problems; to take responsibility in activities that benefit the field of psychology and society.
11)	To have problem solving skills and to be able to develop the necessary analytical approaches for this.
12)	To be able to criticize any subject in business and academic life and to be able to express their thoughts.