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  Course Description
Course Name : Introduction to Demography

Course Code : BİS524

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 4

Name of Lecturer(s) : Prof.Dr. ZELİHA NAZAN ALPARSLAN

Learning Outcomes of the Course : Knows how to calculate population size
Sketches population pyramids according to population structure
Calculates the statistics related to birth and death
Knows the indicators of health level

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To learn the main topics in demography and to be able to evaluate health service and its quality in micro and macro terms

Course Contents : Demography, population, natality, death, diseaese statistics.

Language of Instruction : Turkish

Work Place : Class


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Statistics resources Related reading reading
2 Collecting of demographical data Related reading reading
3 Composition of population Related reading reading
4 Population pyramid Related reading reading
5 Birth statistics Related reading reading
6 Birth statistics Related reading reading
7 Application of Birth statistics Related reading reading
8 EXAM
9 Death statistics Related reading reading
10 Death statistics Related reading reading
11 Application of Death statistics Related reading reading
12 Hospital statistics Related reading reading
13 Hospital statistics Related reading reading
14 Statistics related to health menpower Related reading reading
15 Immigration statistics Related reading reading
16/17 EXAM


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Siegel, Shryock. The Methods and Materials of Demography
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 25
    Homeworks/Projects/Others 14 75
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students design scientific research studies in order to give response to the problem arising from health and clinical sciences 0
2 Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 0
3 Students collect data from research studies, analyze, and make inferences 0
4 Students design health survey, determine the sampling method and conduct the survey 0
5 Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 3
6 Students select the appropriate statistical procedure for analysis , apply and make inferences. 0
7 Students use the necessary statistical packages for analysis, if necessary write and develop software. 0
8 Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 0
9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 0
10 Students explain demographic terminologies and statistical methods in the field of health sciences. 5
11 Students understand and use medical terminology. 3
12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 0
13 Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 0
14 Students follow the latest development in medical informatics and employ frequently used tools and methods. 0
15 Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 2 28
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 14 2 28
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 88
Total Workload / 25 (h): 3.52
ECTS Credit: 4