Industrial Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: MTH002
Course Name: Digital Transformation and Advanced Manufacturing Applications in Industry
Semester: Spring
Fall
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Doç. Dr. SALİHA KARADAYI USTA
Course Lecturer(s): Doç. Dr. Saliha Karadayı Usta
Course Assistants:

Course Objective and Content

Course Objectives: The aims of this course are; The aim is to teach students digital transformation concepts and applications in the industry and to support digital transformation with advanced applications in manufacturing methods.
Course Content: This course demonstrates the concepts and practices of digital transformation in industry and the theoretical and practical applications of advanced manufacturing methods.

Learning Outcomes

The students who have succeeded in this course;
1) Learns about Industry 4.0
2) Gains knowledge about industrial production systems.
3) Have knowledge about the management of automation systems.
4) Have knowledge about computer-aided manufacturing (CAM) software used in industry.
5) Gains knowledge about advanced applications and usage scenarios in machining operations.
6) Gains knowledge about advanced applications and usage scenarios in additive manufacturing technologies.

Course Flow Plan

Week Subject Related Preparation
1) Course introduction, general concepts
2) Industry 4.0 general concepts
3) Industrial Automation Technologies
4) Industrial Communication Technologies
5) Management of Industrial Systems
6) Collection and use of data for Industry 4.0
7) Industry 4.0 applications
8) Midterm
9) Machining Technologies - Theory
10) Machining Technologies – Application
11) Advanced Applications in Machining Technologies – Theory
12) Advanced Applications in Machining Technologies – Application
13) Advanced Applications in Additive Manufacturing Technologies – Theory
14) Advanced Applications in Additive Manufacturing Technologies - Application

Sources

Course Notes / Textbooks: Ustundag ve Cevikcan (2017), Industry 4.0: Managing The Digital Transformation, Springer
References: Ustundag ve Cevikcan (2017), Industry 4.0: Managing The Digital Transformation, Springer

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

6

Program Outcomes
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills. 2 2 2 2
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. 2 2 2 2
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills. 2
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. 2
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 13 1 3 52
Midterms 1 30 30
Final 1 35 35
Total Workload 117