Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
Statistics I | İKT205 | 3. Semester | 3 + 0 | 3.0 | 5.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Undergraduate |
Course Type | |
Mode of delivery | Face to face |
Course Coordinator |
Lect. Nilay KOYUNCU YEMENİCİ |
Instructors |
Nilay KOYUNCU YEMENİCİ |
Assistants | |
Goals | The course aims to help students to comprehend the plan of the future by using numerical data. The aim of this course is to teach the basic concepts of statistics, descriptive data analysis, sampling, regression and variance analysis |
Course Content | What is statistics? Measurement, Data and Variables. Tables and Graphs. Probability. Bayes's Theorem. Probability Distributions. |
Learning Outcomes |
- Students can explain the importance of quantitative analysis tools used in social sciences. - Students can generate prudential estimations through historical data using probability theory. - Students can apply the process that combines data collection, classification, making charts, analyzing with simple methods and reporting. |
Week | Topics | Learning Methods |
---|---|---|
1. Week | What is statistics? | Course Hours Other Activities Verbal Expression Practice Preparation, After Class Study |
2. Week | Measurement, Data, Variables | Other Activities Verbal Expression Practice Course Hours |
3. Week | Tables and Graphs | Visual Presentation Verbal Expression Course Hours Practice Other Activities |
4. Week | Tables and Graphs | Verbal Expression Practice Other Activities Course Hours |
5. Week | Tables and Graphs | Course Hours Other Activities Verbal Expression Practice Visual Presentation |
6. Week | Measurements of Central Tendency | Preparation, After Class Study Visual Presentation Verbal Expression Practice Course Hours |
7. Week | Measurements of Variability | Practice Course Hours Other Activities Verbal Expression |
8. Week | MIDTERM EXAM | |
9. Week | Probability Rules | Practice Verbal Expression Other Activities Course Hours |
10. Week | Bayes's Theorem | Practice Verbal Expression Course Hours Other Activities |
11. Week | Probability Distributions of Descrete Variables | Practice Verbal Expression Other Activities Course Hours |
12. Week | Probability Distributions of Descrete Variables | Verbal Expression Practice Other Activities Course Hours |
13. Week | Probability Distributions of Continuous Variables | Practice Verbal Expression Course Hours Other Activities |
14. Week | Probability Distributions of Continuous Variables | Course Hours Practice Other Activities Verbal Expression |
• Bruce L. Bowerman, Richard T. O’Connell, Emily S. Murphree, James B. Orris, Essentials of Business Statistics, 9786051333687 |
Program Requirements | Contribution Level | DK1 | DK2 | DK3 | Measurement Method |
---|---|---|---|---|---|
PY1 | 2 | 0 | 0 | 0 | - |
PY2 | 2 | 0 | 0 | 0 | - |
PY3 | 1 | 0 | 0 | 0 | - |
PY4 | 1 | 0 | 0 | 0 | - |
PY5 | 5 | 0 | 0 | 0 | - |
PY6 | 2 | 0 | 0 | 0 | - |
PY7 | 3 | 0 | 0 | 0 | - |
PY8 | 5 | 0 | 0 | 0 | - |
PY9 | 3 | 0 | 0 | 0 | - |
PY10 | 1 | 0 | 0 | 0 | - |
PY11 | 4 | 0 | 0 | 0 | - |
PY12 | 3 | 0 | 0 | 0 | - |
PY13 | 5 | 0 | 0 | 0 | - |
PY14 | 1 | 0 | 0 | 0 | - |
0 | 1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|---|
Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Midterm 1 | 1 | 20 | 20 |
Homework 1 | 14 | 2 | 28 |
Homework 2 | 1 | 7.5 | 7.5 |
Final | 1 | 30 | 30 |
Classroom Activities | 14 | 3 | 42 |
Total Workload | 127.5 | ||
ECTS Credit of the Course | 5.0 |