COURSE UNIT TITLE

: DIGITAL TRANSFORMATION IN INDUSTRY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTS 3043 DIGITAL TRANSFORMATION IN INDUSTRY ELECTIVE 2 0 0 3

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ZEKI KIRAL

Offered to

Industrial Engineering
Textile Engineering
Mechanical Engineering
Mechanical Engineering (Evening)
Metallurgical and Materials Engineering
Mining Engineering
Geophysical Engineering
Civil Engineering
Environmental Engineering
Geological Engineering
Civil Engineering (Evening)

Course Objective

The aim of the course is to explain the basic principles and conceptual framework of digital transformation that started with the fourth industrial revolution. The goals are to give information about the basic components of digital transformation, to raise awareness about the current place and to discuss future role of the subject, by giving business application examples of digital transformation.

Learning Outcomes of the Course Unit

1   To define the concepts of digital transformation in industry.
2   To define the basic components of digital transformation in industry.
3   To understand the role and importance of digital transformation for businesses.
4   To understand the effects of digital transformation on society.
5   To define the effects of digital transformation on business models.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Industry 4.0 and digital transformation concepts and historical development
2 Related disciplines, systems and technologies for Industry 4.0
3 Cyber-physical systems and cyber-physical production systems
4 Industrial internet of things
5 Big data analytics and Blockchain
6 Cloud computing systems
7 Smart factory and smart production systems
8 Midterm
9 Human-robot collaboration and related standards
10 Digital twin concept and applications
11 Artificial intelligence applications in production
12 Cloud production and connected factory
13 Safety and security in networked production environments
14 The future of digital transformation, Industry X.0 and the Industrial Metaverse
15 The future of digital transformation, Industry X.0 and the Industrial Metaverse

Recomended or Required Reading

- Ömer Faruk Görçün, Endüstri 4.0 Dördüncü Endüstri Devrimi, Beta Yayıncılık, 3rd Edition, 2020.
- Işıl Mendeş Pekdemir, Dijital Dönüşüm, Beta Yayınevi, 2019.
- Alp Üstündağ, Emre Çevikcan, Industry 4.0: Managing Digital Transformation, Springer, 2018.
- Gürcan Banger, Endüstri 4.0 - Uygulama ve Dönüşüm Rehberi, Dorlion Yayınevi, 2018.

Planned Learning Activities and Teaching Methods

The theory of the course and sample applications are explained with presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRJ PROJECT
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE * 0.20 + PRJ * 0.25 + ASG * 0.15 + FIN * 0.40
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + PRJ * 0.25 + ASG * 0.15 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

LO1, LO2, LO3, LO4 are assessed by exams
LO3, LO4, LO5 are assessed by assignments and project

Language of Instruction

Turkish

Course Policies and Rules

Will be announced.

Contact Details for the Lecturer(s)

Prof.Dr. Zeki KIRAL, zeki.kiral@deu.edu.tr
Doç.Dr. Mehmet Hilal ÖZCANHAN, hozcanhan@cs.deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 4 4
Preparation for final exam 1 6 6
Project Preparation 1 10 10
Preparing assignments 2 6 12
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 78

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.133443325241
LO.234443325241
LO.334443325241
LO.41112313231
LO.533333325241