Basic Information

Course Code:

FTR 700

Course Name:

Seminar

Language of Instruction:

Turkish

Course Type:

Class

Course Level:

Master

ECTS:

6.00

Instructor:

Doç. Dr. Yıldız ERDOĞANOĞLU

Course Objectives

Performs studies related to literature review, planning, determination of statistical methods to be used in data analysis, under the guidance of her advisor.

Course Content

Reviewing the literature about the thesis or study, planning the study, analyzing the data, improving presentation skills

Prerequisites / Corequisites

None

Course Books / Materials / Recommended Resources

Current literature related to the study

Learning Outcomes

Code	Description
LO1	Planning the thesis or study
LO2	Defining evidence-based practice
LO3	Selection of appropriate statistical methods
LO4	Presentation preparation

Weekly Course Content

Week	Content
1	Presentation
2	Presentation
3	Presentation
4	Presentation
5	Presentation
6	Presentation
7	Presentation
8	Presentation
9	Presentation
10	Presentation
11	Presentation
12	Presentation
13	Presentation
14	Presentation

Workload Calculation

Activity	Count	Duration (Hours)	Total
Attendance	14	1.00	14.00
Post-Class Individual Study	14	5.00	70.00
Midterm Exam/Preparation	14	2.00	28.00
Final Exam/Preparation	14	2.00	28.00
Field Study	14	3.00	42.00
Total Workload (Hours)			182
ECTS Credit (Workload / 25)			6

Assessment

#	Assessment Type	Contribution (%)
1	Seminar	%100

PO - LO Matrix

PO \ LO	LO1	LO2	LO3	LO4
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7

1

Low Contribution

2

Medium Contribution

3

High Contribution

Teaching and Learning Methods

#	Method Name	Description	Tools
1	Seminar	Research – lifelong learning, writing, reading, IT, listening and comprehension, managerial skills	Standard classroom technologies, multimedia tools, projector, computer, overhead projector, special equipment
2	On-site learning, supervised clinical practice (hands-on training)	Performing clinical procedures under supervision, patient management, and clinical decision-making	Clinical environment, dental units, clinical instruments and materials
3	Homework	Solving and analyzing homework questions using a computer and Excel.	Computer
4	Lecture (expository teaching), interactive discussion	Listening and taking notes.	Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
5	Controversial Course	Listening and comprehension, critical thinking	Standard classroom technologies, multimedia tools, projector, computer, overhead projector

Academic Integrity and Artificial Intelligence

Violations of scholastic honesty include, but are not limited to cheating, plagiarizing, fabricating information or citations, facilitating acts of dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students. Any for of scholastic dishonesty is a serious academic violation and will result in a disciplinary action.

Sustainable Development Goals