Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
DBY 5012	DENTAL TECHNOLOGIES	ELECTIVE	2	0	0	3

Offered By

Dental Biomaterials

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR FATMA AKKOCA

Offered to

Dental Biomaterials

Course Objective

To obtain recent dental advances in dental technologies. In this context, imaging of oral and maxillofacial area, application of digital prosthetic treatment approaches, recent advances in periodontal disease diagnosis as well as recent devices used in oral surgery are included.

Learning Outcomes of the Course Unit

1	To have knowledge about digital radiography techniques used in dentistry.
2	To have knowledge about the basic principles of medical computed tomography and radionucleid imaging and their use in dentistry.
3	To have knowledge about the basic principles of magnetic resonance imaging and its uses in dentistry.
4	To have knowledge about the basic principles of ultrasonography and its uses in dentistry.
5	To have knowledge about the basic principles and indications of cone beam computed tomography.
6	To have knowledge about CAD/CAM blocks and laboratory processes used in digital dentistry.
7	To have information about current adhesive systems in restorative dentistry.
8	To have information about the current methods used in the diagnosis and treatment of periodontal diseases
9	To have information about current devices used in preprosthetic, orthognathic surgery, dental implantology and minor oral surgery.
10	To follow the technological development.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Digital radiography techniques, advantages and disadvantages	3D printing production methods
2	Basic principles of medical computed tomography and its uses in dentistry	Manufacturing methods in CAD/CAM systems
3	Deep learning, machine learning	Artificial Intelligence in forensic dentistry
4	Artificial Intelligence	Artificial Intelligence in pedodontics
5	Artificial Intelligence in oral and maxillofacial radiology
6	Artificial Intelligence in oral and maxillofacial surgery
7	Artificial Intelligence in endodontics and restorative dentistry
8	Artificial Intelligence in periodontology
9	Artificial Intelligence in the field of prosthetic dentistry
10	Artificial Intelligence in oral diseases and lesions

Recomended or Required Reading

1. White SC, Pharoah MJ, eds. Oral radiology principles and interpretation. 8th ed. St. Louis: Mosby Elsevier;2018.
2. Masri, Radi, and Carl F. Driscoll, eds. Clinical applications of digital dental technology. New York, NY: John Wiley & Sons, 2015.
3. Newman and Carranza's Clinical Periodontology, 13th edition, Michael G. Newman DDS, Henry Takei DDS MS, Perry R. Klokkevold DDS MS, Fermin A. Carranza Dr., Aug 2018
4. Hupp, James R., Myron R. Tucker, and Edward Ellis. Contemporary Oral and maxillofacial surgery-E-book. Elsevier Health Sciences, 2013.
5. Scarfe, William C., and Christos Angelopoulos, eds. Maxillofacial cone beam computed tomography: principles, techniques and clinical applications. Springer, 2018.
6. Essentials of Clinical Periodontology and Periodontics, 5th Edition, Shantipriya Reddy, 2017.
7. Rekow, E. Dianne, ed. Digital dentistry: a comprehensive reference and preview of the future. Quintessence Publishing Company Limited, 2018.

Planned Learning Activities and Teaching Methods

Lectures, the topics with classroom activities (presentations and homework assignments) to consolidate and discussion

Assessment Methods

Successful / Unsuccessful

Further Notes About Assessment Methods

None

Assessment Criteria

Courses will be reviewed and evaluated. The course grade for the master's degree is 75 (2.5).

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc. Prof. Melih Özdede
melih.ozdede@deu.edu.tr
+90 (232) 412 88 04

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	15	2	30
Preparations before/after weekly lectures	15	2	30
Final	1	1	1
TOTAL WORKLOAD (hours)			61

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

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION