Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
8ENDS405Digital Transformation3+0+036

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Computer Engineering
Mode of Delivery Face to Face
Type of Course Unit Elective
Objectives of the Course The aims of this course are; The transformation effect created by the 21st century technologies in people, business processes and technology,
By putting the ecosystem at its center, our students receiving vocational education will gain an entrepreneurial spirit to the business world of tomorrow. is to prepare.
Course Content This course; The transformative effects of industrial revolutions in the historical process are conveyed, within the framework of the level of technological development, the reshaping of the global economy; data-centred, IoT Internet), Artificial Intelligence and innovative technologies such as Block Chanin; its transformative impact on people, business processes and technology, examines today's industrial revolution and its reflections on the digital ecosystem.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof. Tuğbay Burçin Gümüş
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources The Digiral Matrix: New Rules for Business Transformation Through Technology, Venkat Venkatraman
The Digiral Matrix: New Rules for Business Transformation Through Technology, Venkat Venkatraman

Course Category
Engineering %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
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Mid-terms 1 3 3
Final examination 1 3 3
Total Work Load   Number of ECTS Credits 2 48

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Gains knowledge about the effects of industrial revolutions on social life and gains projection skills for the future.
2 Recognizes Innovative Digital Technologies.
3 Learns the concept of Digital Economy created by innovative technologies that center data.
4 The effects of digital technologies on sociological life can interpret.
5 She can plan her own professional career by knowing the change that digitalization will create in current professions and the effect of this change on the way of doing business.
6 Interpret the effects of technologies such as Big Data, IoT (Internet of Things), Artificial Intelligence and Block Chain on technological transformation.
7 Recognizes the digital ecosystem with the economic value created by Digital Transformation and the components of this economic value.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Industrial Revolutions - Presentation
2 The Impact of Big Data on Human Life - Presentation
3 Impact of Big Data on Business Processes - Presentation
4 The Impact of Big Data on Technological Transformation - Presentation
5 Impact of IoT on Human Life - Presentation
6 Impact of IoT on Business Processes - Presentation
7 Impact of IoT on Technological Transformation - Presentation
8 The Impact of Artificial Intelligence on Human Life - Presentation
9 Impact of Artificial Intelligence on Business Processes - Presentation
10 The Impact of Artificial Intelligence on Technological Transformation - Presentation
11 The Impact of Block Chain on Human Life - Presentation
12 The Impact of Blockchain on Business Processes - Presentation
13 The Impact of Block Chain on Technological Transformation - Presentation
14 Digital Ecosystem - Presentation


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 4 4
C1 5
C2 5 4
C3 5 4
C4 4
C5 3
C6 4
C7 4 4

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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=206035&curProgID=5607&lang=en