BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ECONOMICS | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO1164 | Research Methods and Statistics II | Spring | 3 | 0 | 3 | 8 |
Basic information
| 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 AYSE ERTUĞRUL BAYKAN |
| 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. |
Learning Outcomes
|
The students who have succeeded in this course; 1. Classifying data regarding their types. 2. Reading and interpreting data from different sources. 3. Visualizing descriptive statistics from the raw data by using tables and graphs, and how to interpret these summary tables and graphs. 4. Calculating the numerical descriptive statistics from the raw data, and how to interpret these summary measures. 5. Basics about probability. 6. Random variables and basics about probability distribution of these random variables. 7. How to sample data, how these samples are distributed and what are the summary statistics of these sample distributions. 8. Tabular, graphical, and numerical description of data in R; using tools in R related with probability and probability distribution functions. |
Course Content
| 1-How to use statistics in economics, business and finance 2-Tables and graphs for numerical data 3-What should be considered to prepare a good graphics 4-Descriptive numerical statistics 5-Data standardization and box diagram 6-Basic probability 7-Probability distribution and expected value calculations 8-Binomial and Poisson distribution 9-Normal distribution and uniform distribution" |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Descriptive statistics | |
| 3) | Sampling and Sampling Methods | |
| 4) | Basic Probability | |
| 5) | Basic Probability | |
| 6) | Discrete Probability Distributions | |
| 7) | Discrete Probability Distributions | |
| 8) | Continuous Probability Distributions | |
| 9) | Continuous Probability Distributions | |
| 10) | Sampling Distributions | |
| 11) | Sampling Distributions | |
| 12) | Introduction to Selected Statistical Software | |
| 13) | Statistical Applications | |
| 14) | Statistical Applications |
Sources
| Course Notes / Textbooks: | |
| References: | Basic Business Statistics, Student Value Edition, Mark L. Berenson, David M. Levine, Kathryn A. Szabat, 13th Edition, Pearson Essentials of Contemporary Business Statistics, Willliams/Sweeney/Anderson, 5th Editon, Cengage Learning Basic Statistics for Business & Economics , Lind/Marchal/Wathen, 8th Edition, McGraw Hill Statistics for Business & Economics, 8th Edition, Newbold/Carlson/Thorne, Pearson |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 2 | % 30 |
| Project | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentations / Seminar | 1 | 40 | 40 |
| Homework Assignments | 2 | 25 | 50 |
| Midterms | 1 | 9 | 9 |
| Final | 1 | 10 | 10 |
| Total Workload | 193 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | As a world citizen, she is aware of global economic, political, social and ecological developments and trends. | 2 |
| 2) | He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning. | 3 |
| 3) | Absorbs basic economic principles and analysis methods and uses them to evaluate daily events. | 4 |
| 4) | Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders. | 5 |
| 5) | Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions. | 4 |
| 6) | Comprehends new ways of doing business using digital technologies. and new market structures. | 1 |
| 7) | Takes critical approach to economic and social problems and develops analytical solutions. | 2 |
| 8) | Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods. | 5 |
| 9) | In the works he/she contributes, observes individual and social welfare together and with an ethical perspective. | 1 |
| 10) | Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines. | 2 |
| 11) | Generates original and innovative ideas in the works she/he contributes as part of a team. | 3 |