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 |
Instructor(s) |
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 Preparation, After Class Study Verbal Expression Practice Other Activities |
2. Week | Measurement, Data, Variables | Course Hours Verbal Expression Other Activities Practice |
3. Week | Tables and Graphs | Practice Course Hours Other Activities Verbal Expression Visual Presentation |
4. Week | Tables and Graphs | Verbal Expression Practice Course Hours Other Activities |
5. Week | Tables and Graphs | Verbal Expression Visual Presentation Practice Course Hours Other Activities |
6. Week | Measurements of Central Tendency | Course Hours Practice Preparation, After Class Study Verbal Expression Visual Presentation |
7. Week | Measurements of Variability | Other Activities Verbal Expression Practice Course Hours |
8. Week | MIDTERM EXAM | |
9. Week | Probability Rules | Course Hours Other Activities Verbal Expression Practice |
10. Week | Bayes's Theorem | Course Hours Other Activities Verbal Expression Practice |
11. Week | Probability Distributions of Descrete Variables | Verbal Expression Course Hours Other Activities Practice |
12. Week | Probability Distributions of Descrete Variables | Course Hours Other Activities Verbal Expression Practice |
13. Week | Probability Distributions of Continuous Variables | Practice Course Hours Other Activities Verbal Expression |
14. Week | Probability Distributions of Continuous Variables | Other Activities Verbal Expression Course Hours Practice |
• 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 |