Course Details

INDUSTRY 4.0 TECHNOLOGIES              

BA450

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
7BA450INDUSTRY 4.0 TECHNOLOGIES              3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BUSINESS ADMINISTRATION
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Introduce Industry 4.0 tools;
Provide a working knowledge of the design, implementation and analysis of Industry 4
Provide the student with the necessary background for applying Data Mining techniques in systems such as Big Data and Streaming Data
Course Content This course will focus on Industry 4.0 technologies and applications that enable the internet to be connected to the manufacturing system, to eliminate the independent movement of all machine systems, and to enable the machines talking to each other to make their own decisions thanks to artificial intelligence. Within the scope of the course, Industry 4.0 related concepts; Internet of Things, artificial intelligence, big data, data mining, technology, innovation and creativity management, system analysis, system simulation, lean manufacturing will be covered. In addition, group work and presentations for the sample Industry 4.0 research will be evaluated within the scope of the course.
Course Methods and Techniques -
Prerequisites and co-requisities None
Course Coordinator Associate Prof.Dr. FATMA SELEN MADENOĞLU
Name of Lecturers Instructor Dr. MELİKE AYGÜN
Assistants Research Assist. ABDULLAH ÇOLAK
Work Placement(s) No

Recommended or Required Reading
Resources
-

Course Category
Social Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 50
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı 1 % 50
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Tartışma 10 2 20
Sınıf İçi Aktivitesi 10 2 20
Sunum 2 4 8
Proje 1 20 20
Okuma 10 4 40
Yüz Yüze Ders 14 3 42
Total Work Load   Number of ECTS Credits 5 150

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Demonstrate knowledge about Industry 4.0
2 Perform Industry 4.0 system analysis
3 Demonstrate knowledge about data mining techniques, including systems such as big data, streaming data
4 Demonstrate knowledge about system Simulation techniques
5 Implement lean manufacturing methods.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Industry 4.0 - -
2 Internet of Things (IoT) - -
3 Artificial Intelligence - -
4 Big Data - -
5 Sensor Technologies, Cloud Computing, Augmented Reality - -
6 Data Mining - -
7 Technology, innovation and creativity management - -
8 Modeling and system analysis of production systems - -
9 Application of system analysis in ERP and databases - -


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 5 5 4 5 3 3 2 4 2 3
C2 4 5 2 5 5 5 3 3 5 5
C3 4 5 2 5 4 3 3 5 2 3
C4 4 5 2 5 3 3 2 2 3 4
C5 5 5 2 5 3 4 3 4 5 5

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=71947&lang=en