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SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
60613YETOS-BIT2412 Digital Transformation and Artificial Intelligence 1 Spring 2 0 2 3
Course Type : University Elective
Cycle: Bachelor      TQF-HE:6. Master`s Degree      QF-EHEA:First Cycle      EQF-LLL:6. Master`s Degree
Language of Instruction: Turkish
Prerequisities and Co-requisities: N/A
Mode of Delivery: E-Learning
Name of Coordinator: Instructor HASAN UĞUR
Dersin Öğretim Eleman(lar)ı: Dr. Öğr. Üyesi GİZEM TEMELCAN ERGENECOŞAR
Dersin Kategorisi: Competency Development (University Elective)

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: The transformation, which is also described as the fourth industrial revolution today, is realized by the combination of many physical and digital technologies. Regardless of the technological tools, the main purpose of industrial transformations is to increase resource efficiency and productivity and to increase the competitive power of companies. The difference of this transformation from the others is that it not only provides change in basic business processes, but also reveals smart and connected product concepts and offers new income-generating, service-based business models to the business world. The aim of this course is to teach Industry 4.0 design principles and conceptual framework, to explain adaptive robotics, artificial intelligence, big data, augmented reality, additive manufacturing, internet of things, cloud computing, cyber security technologies, which are the basic building blocks of Industry 4.0.
Course Content: Digital Economy
1.1 New business models
1.2 New Business processes
1.3 New technologies
2. Digital Strategy
2.1 Digital transformation
2.2 Application examples of different strategies in different sectors
2. Industry 4.0
2.1 Going from digital strategy to industry 4.0
2.2 The maturity model for the transition to Industry 4.0
2.3 Industry 4.0 technologies
3. Artificial Intelligence

Course Specific Rules

-interactive, participatory course flow.
-Question-answer and control of the understanding of the lesson.
- Not to be used outside of the lesson when the microphone is on, chat is free
- continuity rule

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
Skills (Describe as Cognitive and/or Practical Skills.)
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Introduction
2) Industry 4.0 Design Principles and Conceptual Framework
3) Robotic Systems
4) Automation and Sensor Technologies
5) Artificial Inelligence and Machine Learning
6) Artificial Inelligence and Machine Learning
7) Artificial Inelligence and Machine Learning
8) Midterm
9) Internet of Things (IoT)
10) Internet of Things (IoT)
11) Cloud Computing
12) Big Data Technologies
13) Augmented Reality and Virtualization
14) Augmented Reality and Virtualization
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Online Beykoza yüklenecek ders notlarından yararlanabilirsiniz.
Her derse ait power point sunum dokumanları, video kayıtları ,ödevler online sitede kayıtlı olup erişilebilir.
Power point presentation documents, video recordings, assignments for each course are registered and accessible on the online site.
References:

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 3 KPLO 4 KPLO 5
1 2 3 4 5 1 2 3 4 5 6 1 2 3 1 2 3 4 5 1 2 3 4 5 6 7 8 9 10 11 12

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Explains the basic, theoretical and practical knowledge about Interior Architecture and Environmental Design.
2) Can reveal original and innovative designs.
3) Use the drawing programs required by the profession.
4) Apply the theoretical knowledge learned in business life for one semester
5) S/he acquires the competencies that develop by the expectations of business world and the society defined as the institutional outcomes of our university on the advanced level in relation with his/her field.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Quizzes 3 % 30.00
Homework Assignments 1 % 20.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 14 2 28
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 1 12 12
Total Workload of Teaching & Learning Activities - - 68
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 3 4 12
Midterms 0 0 0
Semester Final Exam 1 12 12
Total Workload of Assesment & Evaluation Activities - - 24
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 92
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 3