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Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| POLITICAL SCIENCE AND INTERNATIONAL RELATIONS PR. | |
| Code | SBUS418 |
| Name | Principles of Quantitative Political Research |
| Term | 2018-2019 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. YÜKSEL ALPER ECEVİT |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
To give basic information to students who will work on quantitative methods in political researches
Course Content
To comprehend the logic of statistical approach, to provide reading, presentation and applications that will provide the infrastructure for regression analysis.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To read and learn basic information and thinks with theoretical approaches. |
| LO02 | Ability to identify and solve problems. |
| LO03 | To recognize the Political Party and electoral systems. |
| LO04 | Analytical thinking, Economic and political inquiry skills. |
| LO05 | To gain Writing and research skills. |
| LO06 | Explores the topic of probability |
| LO07 | Studies sampling distributions |
| LO08 | Makes point estimations |
| LO09 | Makes interval estimation |
| LO10 | Makes hypothesis testing |
| LO11 | Difference of means test |
| LO12 | Introduces regression analysis |
| LO13 | Teaches basics of linear regression |
| LO14 | Makes interference for simple linear regression |
| LO15 | Studies logistic regressions |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Intro and Discussion | Reading | |
| 2 | Sampling and Measurement | Reading | |
| 3 | Describing Data | Reading | |
| 4 | Probability Distributions | Reading | |
| 5 | Sampling Distributions | Reading | |
| 6 | Point Estimation | Reading | |
| 7 | Interval Estimation | Reading | |
| 8 | Mid-Term Exam | Studying for Exam | |
| 9 | Hypothesis Testing | Reading | |
| 10 | Comparison of Two Groups | Reading | |
| 11 | Introduction to Regression | Reading | |
| 12 | Simple Linear Regression | Reading | |
| 13 | Inference for Simple Linear Regression | Reading | |
| 14 | Multiple Regression | Reading | |
| 15 | Logistic Regression | Reading | |
| 16 | Term Exams | Studying for Exam | |
| 17 | Term Exams | Studying for Exam |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 6 | 6 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 3 | 3 |
| Final Exam | 1 | 3 | 3 |
| Total Workload (Hour) | 138 | ||
| Total Workload / 25 (h) | 5,52 | ||
| ECTS | 6 ECTS | ||