Foreign trade
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Foreign trade
Course Details
Trade and Industry Vocational School
Programme of Foreign trade
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 03641204 | Basic Statistics | 2 | Spring | 4 | 3+0+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | yok |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Descriptive statistics: Definition of statistics and basic concepts, Nature of statistical research, Compiling and summarizing statistical data. Measures of Central Tendency and measures of dispersion. Random variables and probability distributions. Hypothesis tests, Chi-square Tests, Regression, One-Way Analysis of Variance
Objectives of the Course
Teaching basic statistics concepts and basic statistical methods
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P4 | Ability to work in coordination with different disciplines and cultures | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | To find the difference between different disciplines | P.4.1 | |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Basic concepts of statistics |
| 2 | Collection and compilation of data: Summarising data Summarising data by graphical methods, Series |
| 3 | Introduction to measures of central tendency |
| 4 | Introduction to dispersion measures |
| 5 | Discrete and continuous random variables and probability distributions |
| 6 | Interval Estimate. Confidence Interval for the population mean. Confidence Interval for Population Proportion |
| 7 | Interval Estimate. Confidence Interval for the population mean. Confidence Interval for Population Proportion |
| 8 | Midterm exam |
| 9 | Hypothesis testing |
| 10 | Hypothesis testing |
| 11 | Chi-Square Test |
| 12 | Regression |
| 13 | Correlation |
| 14 | ANOVA |
Textbook or Material
| Resources | AÖF Publications Textbooks |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 1 | 40 | 40 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 60 | 60 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 142 | ||
| Total Work Load / 30 | 4,73 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P4 |
|---|---|---|
| O1 | To find the difference between different disciplines | 4 |