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| Course Description |
|
| Course Name |
: |
DEMOGRAPHY |
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| Course Code |
: |
İSB410 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Sub-Level (Undergraduate Degree) |
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| Year of Study |
: |
4 |
|
| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
5 |
|
| Name of Lecturer(s) |
: |
Guest Instructor LUTFİDOĞAN
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|
| Learning Outcomes of the Course |
: |
recognize basic definitions of demography
apply demografic methods.
possess the knowledge of demographic methods for making applications
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|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Recognize the basic definitions and concepts related to demographics to apply statistical techniques. |
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| Course Contents |
: |
Demography: The Science of Population, Sources of Demographic Data Population Theories, Population Processes: Mortality, Population Processes: Births Population Structure and Characteristics, Migration:Definig Migration and Measuring Migration, Fertility: Fertility Concepts and Measurements, Defining Divorce, Defining Married, Populasyon, Development and The Environment, Demographic Resources, Using The Demographic Resources |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Faculty of Arts and Sciences Annex Classrooms |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Demography: The Science of Population |
Source reading |
Lecture, discussion |
|
2 |
Sources of Demographic Data |
Source reading |
Lecture, discussion |
|
3 |
Population Theories,Population Theories: Mortality |
Source reading |
Lecture, discussion |
|
4 |
Population Theories: Fertility |
Source reading |
Lecture, discussion |
|
5 |
Population Structure and Characteristics, |
Source reading |
Lecture, discussion |
|
6 |
Defining Migration and Measuring Migration |
Source reading |
Lecture, discussion |
|
7 |
Fertility: Fertility Concepts and Measurements |
Source reading |
Lecture, discussion |
|
8 |
mid-term exam |
Rewview the topics discussed in the lecture notes and sources |
Written exam |
|
9 |
Defining Divorce, Defining Married |
Source reading |
Lecture, discussion |
|
10 |
Defining Married |
Source reading |
Lecture, discussion |
|
11 |
Development and The Environment |
Source reading |
Lecture, discussion |
|
12 |
Demographic Resources |
Source reading |
Lecture, discussion |
|
13 |
Using demographic Resources |
Source reading |
Lecture, discussion |
|
14 |
Using demographics packet programs |
Source reading |
Lecture, discussion |
|
15 |
Using demographics packet programs |
Source reading |
Lecture, discussion |
|
16/17 |
Final exam |
Rewview the topics discussed in the lecture notes and sources |
Written exam |
|
|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 E. F. Penrose, Population Theories and Their Application, California, 1935
Peter R. Cox, Louis J. Dublin, Alfred J. Lotka, Mortimer Spiegelman, Demography, Cambridge, 1959
Mortimer Spiegelman, Introduction to Demography, Chicago, 1955 7. Warren S Thompson, Population Problems, N. Y. 1942
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| |
| Required Course Material(s) | |
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|
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Assessment Methods and Assessment Criteria |
|
Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
|
Homeworks/Projects/Others |
5 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Utilize computer systems and softwares |
1 |
|
2 |
Apply the statistical analyze methods |
3 |
|
3 |
Make statistical inference(estimation, hypothesis tests etc.) |
1 |
|
4 |
Generate solutions for the problems in other disciplines by using statistical techniques |
4 |
|
5 |
Discover the visual, database and web programming techniques and posses the ability of writing programme |
0 |
|
6 |
Construct a model and analyze it by using statistical packages |
0 |
|
7 |
Distinguish the difference between the statistical methods |
1 |
|
8 |
Be aware of the interaction between the disciplines related to statistics |
3 |
|
9 |
Make oral and visual presentation for the results of statistical methods |
2 |
|
10 |
Have capability on effective and productive work in a group and individually |
3 |
|
11 |
Develop scientific and ethical values in the fields of statistics-and scientific data collection |
3 |
|
12 |
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics |
1 |
|
13 |
Emphasize the importance of Statistics in life |
5 |
|
14 |
Define basic principles and concepts in the field of Law and Economics |
0 |
|
15 |
Produce numeric and statistical solutions in order to overcome the problems |
2 |
|
16 |
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events |
2 |
|
17 |
Use proper methods and techniques to gather and/or to arrange the data |
1 |
|
18 |
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs |
1 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
5 |
5 |
25 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
|
Final Exam |
1 |
15 |
15 |
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Total Workload: | 134 |
| Total Workload / 25 (h): | 5.36 |
| ECTS Credit: | 5 |
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