ECTS - Digital Transformation and Sectoral Applications

Digital Transformation and Sectoral Applications (ISL330) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Digital Transformation and Sectoral Applications ISL330 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The main objective of this course is learning artificial intelligence, machine learning, cloud computing, internet of things, cloud computing, big data, etc. and learning how developing technologies change business processes on a sectoral basis.
Course Learning Outcomes The students who succeeded in this course;
  • Recognize digital transformation technologies and understand the digitization of various sectors
  • Have knowledge about Blockchain technologies and business applications.
  • Learn about Digital Innovation and Transformation, and examine the evolution of technology and business processes from past to present
  • Understand the concepts of artificial intelligence, machine learning, cloud computing, the Internet of Things, and big data, and how these technologies transform business processes across different sectors.
Course Content Developing technologies and the terminology of these technologies, their relationship with digital transformation and innovation, the effects of organizational culture on digital transformation, new business and income models, the importance of data and competitive advantage, digitalization in decision support processes, discussion of digital transformation project examples from different sectors.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Digital Transformation, Management and Governance, Electronic Industries: Terminology Materials containing basic terminology should be read.
2 Digital Innovation and Transformation Academic articles on digital innovation and transformation should be read.
3 Technology and Business Processes from Past to Present Articles describing the evolution of technology in business processes should be read.
4 Industrial Revolutions, Industry 4.0. A literature review on industrial revolutions and Industry 4.0 should be conducted.
5 Digitalization in Banking Activities Articles on the impact of digitalization on the banking sector should be read.
6 Digital Transformation and Communication Readings on the effects of digital transformation on communication should be completed.
7 Digital Transformation and Emerging Technologies Readings on the relationship between emerging technologies and digital transformation should be done.
8 Midterm The covered topics should be reviewed.
9 Blockchain and Cryptocurrencies Thematic articles on blockchain and cryptocurrencies should be read.
10 Banks' Chatbot Applications A literature review on chatbot applications in the banking sector should be conducted.
11 CRM Applications, Trader Robots Information on CRM applications and trader robots should be gathered.
12 Development of New Technologies and Technology Trends (Big Data, Distributed Ledger Technologies) Readings on big data and distributed ledger technologies should be completed.
13 Development of New Technologies and Technology Trends (AR / VR, Internet of Things - IoT) Academic articles on AR/VR and IoT should be read.
14 E-Commerce Digital Payment Systems Relationship Readings on the relationship between e-commerce and digital payment systems should be done.
15 Project Presentations Preparation for project presentations should be completed.
16 Final Exam The course topics should be reviewed, and preparation for the final exam should be completed.

Sources

Course Book 1. Dijital Dönüşüm ve Finans: Gelecek Sandığımızdan Daha Yakın, Prof. Dr. Adalet HAZAR Prof. Dr. Üstün ÖZEN

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 They acquire the skills to understand, explain, and use the basic concepts and methods of economics.
2 Acquires macro-economic analysis skills.
3 Acquire microeconomic analysis skills.
4 Understands the formulation and implementation of economic policies at local, national, regional and/or global levels.
5 Learn different approaches to the economy and economic issues.
6 Learn qualitative and quantitative research techniques in economic analysis.
7 Improving the ability to use modern software, hardware and/or other technological tools.
8 Develops intra-disciplinary and inter-disciplinary team work skills.
9 Contributes to open-mindedness by encouraging critical analysis, discussion, and/or lifelong learning.
10 Develops a sense of work ethics and social responsibility.
11 Develops communication skills.
12 Improving the ability to effectively apply knowledge and skills in at least one of the following areas: Economic policy, public policy, international economic relations, industrial relations, monetary and financial relations

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project 1 14 14
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 125