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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS DHF 4500 ARTIFICIAL INTELLIGENCE APPLICATIONS IN DENTISTRY ELECTIVE 1 0 0 1

Offered By

Dentist

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR FATMA AKKOCA

Offered to

Dentist

Course Objective

Providing training on the use of artificial intelligence and deep learning methods in different areas of dentistry

Learning Outcomes of the Course Unit

1   Learning about the usage areas of artificial intelligence 2   Raising awareness about the importance of artificial intelligence in dental practice 3   Raising awareness about artificial intelligence and ethics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 WHAT IS ARTIFICIAL INTELLIGENCE 2 ARTIFICIAL INTELLIGENCE AND ITS AREAS OF USE IN DENTISTRY 3 ARTIFICIAL INTELLIGENCE AND ITS AREAS OF USE IN DENTISTRY 4 INTERNET OF THINGS APPLICATIONS IN DENTISTRY 5 ARTIFICIAL INTELLIGENCE AND ETHICS 6 ARTIFICIAL INTELLIGENCE AND ITS USE IN EDUCATION 7 PROJECT PRESENTATIONS 8 PROJECT PRESENTATIONS 9 PROJECT PRESENTATIONS 10 PROJECT PRESENTATIONS 11 PROJECT PRESENTATIONS 12 PROJECT PRESENTATIONS 13 PROJECT PRESENTATIONS 14 PROJECT PRESENTATIONS

Recomended or Required Reading

Herkes için yapay zeka. Zafer Demirkol.

Planned Learning Activities and Teaching Methods

1. Lesson 2. Project

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 2 FN Final 3 FSB Final Sonu Başarı Notu 4 BUT Bütünleme 5 BSB Bütünleme Sonu Başarı Notu

Further Notes About Assessment Methods

None

Assessment Criteria

1. Can promote artificial intelligence 2. Areas of use in artificial intelligence and dentistry can be listed. 3. Internet of things applications in dentistry can be listed 4. Explain what artificial intelligence and ethics are 5. Can explain artificial intelligence and its use in education

Language of Instruction

Turkish

Course Policies and Rules

Attendance at 70% of classes is mandatory.

Contact Details for the Lecturer(s)

fatma.akkoca[at]deu.edu.tr

Office Hours

Thursday 09.00-10.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 1 1 TOTAL WORKLOAD (hours) 0

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 4 4 LO.2 4 2 3 4 LO.3 4 5 4 2 3