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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS HSA 6111 ADVANCED EPIDEMIOLOGY ELECTIVE 2 0 0 6

Offered By

Public Health

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

Offered to

Public Health Occupational Health

Course Objective

To gain knowledge and skills about using the basic concepts of epidemiology and advanced analysis methods in research, modeling and advanced analysis methods.

Learning Outcomes of the Course Unit

1   Understanding advanced concepts in epidemiology 2   Implementing advanced methods in clinical epidemiology 3   Calculate and interpret epidemiologic measures 4   Identify different types of research design and critical reading of literature 5   Develop skills for using and interpreting advanced analysis methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Overview of epidemiologic study designs 2 Clinical trials 3 Diagnostic and screening tests 4 Power, Confidence interval 5 Sample size and selection in case-control and cohort studies 6 Matching and matched analysis 7 Survival analysis and Cox regression 8 Interaction, effect modification 9 Evidence based public health 10 Measures of association, attributable risk, etiologic fraction 11 Meta-analysis 12 Logistic regression and modelling 13 Group discussion 14 Group discussion 15 Overview of the course content

Recomended or Required Reading

To be announced.

Planned Learning Activities and Teaching Methods

Lectures, computer sessions, group discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRF PERFORMANCE 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTE * 0.30 + PRF* 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + PRF* 0.30 + RST* 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

gul.ergor@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 28 1 28 Field study 2 8 16 Preparations before/after weekly lectures 28 3 84 Preparing presentations 1 5 5 Preparation for final exam 1 10 10 Preparation for midterm exam 1 5 5 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LO LO.1 LO.2 LO.3 LO.4 LO.5