Computer Programming (Evening Education) Preview
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Course Introduction and Application Information

Course Code:

UNI292

Course Name:

Epidemiology

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Öğr. Gör. KADRİYE UZUN

Course Lecturer(s):

Öğr. Gör. KADRİYE UZUN

Course Assistants:

Course Objective and Content

Course Objectives:	In this course, it is aimed that the students define the science of epidemiology and have general knowledge about the usage areas of epidemiology.
Course Content:	Lesson; Basic concepts of epidemiology, characteristics of epidemiological research, interaction between agent-environment-human, application areas of epidemiology (infectious diseases, cardiovascular diseases, cancer epidemiology) are included.

Learning Outcomes

The students who have succeeded in this course;
1) The individual has the basic knowledge necessary to fulfill her professional role and responsibilities in meeting the health care needs of the family and society.
2) Knows the rights and safety of the healthy/sick individual, as well as his/her legal responsibilities.
3) Uses developing technology and innovative approaches together with scientific knowledge in its applications.
4) Works collaboratively with the health care team and other disciplines.
5) Has the ability to communicate effectively in written and verbal communication with the individual, family, community and team members

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to the Course, Purpose of the Course and Learning Objectives
2)	Epidemiology definition and usage areas
3)	Epidemiology definition and usage areas
4)	Epidemiological data sources
5)	Epidemiological data sources
6)	Region Population
7)	Region Population
8)	Genel Tekrar
9)	Midterm
10)	Epidemiological study methods (Cohort Studies)
11)	Epidemiological study methods (Cross-sectional-Case Control)
12)	Epidemiological study methods (Methodological Studies)
13)	Infectious Diseases Epidemiology
14)	Epidemiology of Non-Communicable Diseases
15)	final exam

Sources

Course Notes / Textbooks:	Öğretim Görevlisi Notları
References:	Kubilay G., Emiroğlu N., Baybuğa Subaşı M., Örsal Ö., Kesgin Tokur M. (Ed) Sağlık Bilimlerinde Epidemiyoloji (2017). Göktuğ Basın Yayın ve Dağıtım, Amasya, s. 9-219. • 2.Karasar N. Bilimsel Araştırma Yöntemi. 19. Baskı. İstanbul: Nobel Yayın Dağıtım; 2009. • 3.Tezcan S. Epidemiyoloji. Hacettepe Halk Sağlığı Vakfı Yayın No: 92/1, Meteksan A.Ş. Ankara; 1992.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) He gains the ability of problem solving and analytical thinking skills.
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.
4) He understands object-oriented programming concept and web programming.
5) He learns radix systems, fundamental electronics and computer hardware knowledge.
6) He gains mobile programming skills and develops applications for mobile platforms.
7) He designs and codes databases.
8) He learns to program and use computer networks, open source operating systems.
9) He uses the English language effectively.
10) He learns to use appropriate data structures according to programming requirements.
11) He develops software individually or as a team.
12) He follows developments in the field, high technology tools / applications.
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	He gains the ability of problem solving and analytical thinking skills.	1
2)	He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.	1
3)	He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.	1
4)	He understands object-oriented programming concept and web programming.	2
5)	He learns radix systems, fundamental electronics and computer hardware knowledge.	2
6)	He gains mobile programming skills and develops applications for mobile platforms.	2
7)	He designs and codes databases.	2
8)	He learns to program and use computer networks, open source operating systems.	2
9)	He uses the English language effectively.	1
10)	He learns to use appropriate data structures according to programming requirements.	1
11)	He develops software individually or as a team.	2
12)	He follows developments in the field, high technology tools / applications.	2
13)	He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.	2

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
total		%

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	3	0			0
Laboratory	2	0			0
Study Hours Out of Class	2	0			0
Midterms	1	40			40
Final	1	60			60
Total Workload					100