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SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
50613YETOS-BIT2070 Digital Transformation and Industry 4.0 1 Spring 2 0 2 3
Course Type : University Elective
Cycle: Associate      TQF-HE:5. Master`s Degree      QF-EHEA:Short Cycle      EQF-LLL:5. Master`s Degree
Language of Instruction: Turkish
Prerequisities and Co-requisities: N/A
Mode of Delivery: E-Learning
Name of Coordinator: Instructor FATİH ZAHİD GENÇ
Dersin Öğretim Eleman(lar)ı: Instructor FATİH ZAHİD GENÇ
Dersin Kategorisi: Competency Development (University Elective)

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: The transformation, which is also described as the Fourth Industrial Revolution, takes place with the combination of many physical and digital technologies. Regardless of the triggering technological tools, the main purpose of industrial transformations is to increase resource efficiency and effectiveness and to increase the competitiveness of companies. The difference of this transformation we are experiencing is that it not only provides change in basic business processes, but also reveals smart and connected product concepts and presents new business models that generate income-generating and service-based business. The aim of this course is to teach Industry 4.0 design principles and conceptual frameworks, as autonomous robots, artificial intelligence, big data, augmented reality, additive manufacturing, internet of things, cloud computing, cyber security technologies.
Course Content: Industrial Development; Industry 4.0 and Components, Smart Factories; Digital Transformation in Industry; Lights out Production with Lights out Factories; Big Data and Analytics; Autonomous Robots; Augmented Reality; Cyber Physical Systems and Simulation, Cyber Security; Industry 4.0 and System Integration; Internet of Things (IoT), Industrial Internet of Things (IIoT); Additive Manufacturing and 3D Printers; New Professions to Come with Industry 4.0, Professions to be Defeated in Automation; Artificial Intelligence.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Understands industry 4.0 design principles and conceptual framework.
  2) Understands the basic technologies of Industry 4.0.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) Offer a solution using the appropriate components of Industry 4.0 for a given problem statement.
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Industrial Development
2) Industry 4.0 and Components
3) Smart Factories
4) Digital Transformation in Industry
5) Lights out Production with Lights out Factories
6) Big Data and Analytics
7) Autonomous Robots
8) Midterm
9) Augmented Reality
10) Cyber Physical Systems and Simulation, Cyber Security
11) Industry 4.0 and System Integration
12) Internet of Things (IoT), Industrial Internet of Things (IIoT)
13) Additive Manufacturing and 3D Printers
14) New Professions to Come with Industry 4.0, Professions to be Defeated in Automation
15) Artificial Intelligence
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Gürcan BANGER, Endüstri 4.0 Ekstra, Dorlion Yayınları, 2018.
References: • Ogan ÖZDOĞAN, Endüstri 4.0 Dördüncü Sanayi Devrimi ve Endüstriyel Dönüşümün Anahtarları, Pusula 20 Teknoloji ve Yayıncılık A.Ş., 2019.

• Barış ÖZTUNA, Endüstri 4.0 (Dördüncü Sanayi Devrimi) ile Çalışma Yaşamının Geleceği, Gece Kitaplığı, 2017.

• Ders notları

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 4 KPLO 5
1 2 1 2 3 4 5 6 7 8 9 10 1 2 3 4 1 2 3 4 5 6 7
CLO1
CLO2
CLO3

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Have basic, theoretical and applied knowledge about E-Commerce.
2) Have basic, theoretical and applied knowledge about Marketing.
3) Learns the basics of web design.
4) Applies the theoretical knowledge learned by being in business life for one semester.
5) Gains at a basic level the competencies that develop in line with the expectations of the business world and society and are defined as the institutional outputs of our university.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
CLO1 CLO2 CLO3
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Quizzes 2 % 20.00
Midterms 1 % 30.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 14 2 28
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Total Workload of Teaching & Learning Activities - - 56
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 3 3 9
Midterms 1 6 6
Semester Final Exam 1 12 12
Total Workload of Assesment & Evaluation Activities - - 27
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 83
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 3