| EUROPEAN UNION RELATIONS | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO2061 | Statistics | Fall | 3 | 0 | 3 | 6 |
| Language of instruction: | English |
| Type of course: | Must Course |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi BAHAR KÖSEOĞLU |
| Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Assoc. Prof. ÇAĞLAR YURTSEVEN Prof. Dr. SELİM ZAİM |
| Recommended Optional Program Components: | None |
| Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics |
|
The students who have succeeded in this course; At the end of the course, you will be able to: 1. classify data read and interpret data 2. calculate and visualize descriptive statistics using Excel and interpret these summary measures 3. understand basics about probability 4. define random variables and basics about probability distribution of these random variables 5. use tools in Excel related with probability and probability distribution functions |
| Introduction and Data Collection Presenting Data in Tables And Charts (Organizing Categorical Data) Presenting Data in Tables And Charts (Frequency Distribution) Presenting Data in Tables And Charts (Organizing Numerical Data) Numerical Descriptive Measures (Measures of Central Tendency) Numerical Descriptive Measures (Measures of Variation) Numerical Descriptive Measures (Z-Score and Shape of a Distribution) Basic Probability (Basic Probability Concepts) Basic Probability (Basic Probability Concepts, Simple and Joint Probabilities) Basic Probability (Conditional Probabilities) Discrete Probability Distributions (Basic Concepts and Expected Value) Discrete Probability Distributions (Binomial and Poisson Distributions) Continuous Distributions (Normal Distribution) Continuous Distributions (Uniform Distributions and Exponential Distribuitons) |
| Week | Subject | Related Preparation |
| 1) | Introduction and Data Collection | |
| 2) | USING GRAPHS TO DESCRIBE DATA | |
| 3) | USING NUMERICAL MEASURES TO DESCRIBE DATA | |
| 4) | USING NUMERICAL MEASURES TO DESCRIBE DATA • Measure of variation • Measure of shape Locating Extreme outliers: Z-score | |
| 5) | USING NUMERICAL MEASURES TO DESCRIBE DATA (covariation) | |
| 6) | USING NUMERICAL MEASURES TO DESCRIBE DATA _Excel application | |
| 7) | ELEMENTS OF CHANCE: PROBABILITY METHODS | |
| 8) | ELEMENTS OF CHANCE: PROBABILITY METHODS | |
| 9) | ELEMENTS OF CHANCE: PROBABILITY METHODS | |
| 10) | DISCRETE PROBABILITY DISTRIBUTIONS | |
| 11) | DISCRETE PROBABILITY DISTRIBUTIONS | |
| 12) | CONTINUOUS PROBABILITY DISTRIBUTIONS | |
| 13) | CONTINUOUS PROBABILITY DISTRIBUTIONS | |
| 14) | JOINT PROBABILITY DISTRIBUTIONS |
| Course Notes / Textbooks: | • Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT) |
| References: | • Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT) |
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 5 | % 40 |
| Final | 1 | % 60 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Quizzes | 3 | 1 | 3 |
| Final | 1 | 2 | 2 |
| Total Workload | 151 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To be able to examine, interpret data and assess ideas with the scientific methods in the area of EU studies. | 2 |
| 2) | To be able to inform authorities and institutions in the area of EU studies, to be able to transfer ideas and proposals supported by quantitative and qualitative data about the problems. | 2 |
| 3) | To be introduced to and to get involved in other disciplines that EU studies are strongly related with (political science, international relations, law, economics, sociology, etc.) and to be able to conduct multi-disciplinary research and analysis on European politics. | 4 |
| 4) | To be able to evaluate current news on European Union and Turkey-EU relations and identify, analyze current issues relating to the EU’s politics and policies. | 2 |
| 5) | To be able to use English in written and oral communication in general and in the field of EU studies in particular. | 2 |
| 6) | To have ethical, social and scientific values throughout the processes of collecting, interpreting, disseminating and implementing data related to EU studies. | 2 |
| 7) | To be able to assess the historical development, functioning of the institutions and decision-making system and common policies of the European Union throughout its economic and political integration in a supranational framework. | 2 |
| 8) | To be able to evaluate the current legal, financial and institutional changes that the EU is going through. | 2 |
| 9) | To explain the dynamics of enlargement processes of the EU by identifying the main actors and institutions involved and compare previous enlargement processes and accession process of Turkey. | 2 |
| 10) | To be able to analyze the influence of the EU on political, social and economic system of Turkey. | 2 |
| 11) | To acquire insight in EU project culture and to build up project preparation skills in line with EU format and develop the ability to work in groups and cooperate with peers. | 2 |
| 12) | To be able to recognize theories and concepts used by the discipline of international relations and relate them to the historical development of the EU as a unique post-War political project. | 2 |