International Trade and Logistic
Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistic
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistic
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 01140002 | Applied Statistics | 2 | Spring | 4 | 3+0+0 | 4 | 4 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Lect. Özlem AKARÇAY PERVİN |
| Instructor Assistant(s) | - |
Course Content
The course covers topics such as data collection, descriptive statistics, hypothesis testing, regression analysis and statistical software usage.
Objectives of the Course
Applied Statistics course aims to teach students the practical applications of statistical methods, giving them the skills to analyze and interpret real world data.
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 |
|---|---|---|
| P1 | To have current, theoretical and practical knowledge about International Trade and Logistics and to be able to use them in academic and professional contexts. | 1 |
| P2 | To be able to conduct scientific research in the field of International Trade and Logistics, including problem identification, data collection, analysis and reporting processes, and to be able to transfer the findings in written and oral form. | 1 |
| P3 | To be able to make evaluations and express opinions on economic, administrative, financial and commercial issues. | 1 |
| P4 | Monitor and evaluate the micro and macro actors involved in International Trade and Logistics processes, their activities, and their relationships and interactions with each other and with actors in other systems. | 1 |
| P5 | Ability to work in coordination with different disciplines and cultures. | 1 |
| P6 | To be able to plan and manage individual studies related to International Trade and Logistics and to take responsibility in group studies. | 1 |
| P7 | To be able to follow the theoretical and practical developments in issues related to International Trade and Logistics and to update their knowledge and skills in these matters. | 1 |
| P8 | To be able to access different information sources and make quantitative and qualitative analyzes by using software related to the field of international trade and logistics. | 3 |
| P9 | To be able to have the competence to conduct market and marketing research. | 4 |
| P10 | To follow the developments in the field of international trade and logistics in Turkish and English. | 1 |
| P11 | To be able to provide the necessary technical and social communication in Turkish and English with individual and institutional actors involved in international trade and logistics processes. | 1 |
| P12 | Ability to act with professional responsibility awareness and make fair, transparent and ethical decisions in international trade and logistics processes by adhering to ethical principles in accordance with international trade, logistics and customs legislation. | 1 |
| P13 | Being aware of the global and local economic, social, legal and environmental consequences of field practices and the responsibilities that these consequences impose on oneself and other actors in the field. | 1 |
| P14 | To be able to have strategic management skills to make suggestions on issues such as goals, objectives, mission, vision, target market, positioning, business portfolio design, market and marketing performance measurement related to the organization and to make medium and long-term plans related to these suggestions. | 1 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Students will be able to select appropriate statistical methods for a research problem and develop an analysis plan. | P.8.3 | 1 |
| O2 | Students will be able to critically evaluate the results of statistical analyses and discuss the validity of the findings | P.8.4 | 1 |
| O3 | Students will be able to develop their own statistical projects using collected data and present their findings. | P.8.5 | 1 |
| O4 | Students will be able to define basic statistical terms and concepts. | P.9.4 | 1 |
| O5 | Students will be able to explain data collection and summarization techniques. | P.9.5 | 1 |
| O6 | Students will be able to perform various statistical analyses using real-world data. | P.9.6 | 1 |
| O7 | Students will be able to apply hypothesis tests on different data sets and interpret the results. | P.9.7 | 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 | Introduction and Basic Concepts |
| 2 | Data Collection and Summarization |
| 3 | Descriptive Statistics |
| 4 | Probability Theory and Distributions |
| 5 | Normal Distribution and Z-Scores |
| 6 | Sampling Distributions and Central Limit Theorem |
| 7 | Hypothesis Testing: Introduction |
| 8 | One-Sample T-Test and Confidence Intervals |
| 9 | Independent and Paired Samples T_Test |
| 10 | Chi-Square Tests |
| 11 | Analysis of Variance (ANOVA) |
| 12 | Correlation Analysis |
| 13 | Regression Analysis |
| 14 | Review |
Textbook or Material
| Resources | Kalaycı, Ş. (2014). Uygulamalı İstatistik. Asil Yayıncılık. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 3 | 14 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 3 | 14 | 42 |
| Midterms | 1 | 15 | 15 |
| 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 | 20 | 20 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 119 | ||
| Total Work Load / 30 | 3,97 | ||
| Course ECTS Credits: | 4 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P8 | P9 |
|---|---|---|---|
| O1 | Students will be able to select appropriate statistical methods for a research problem and develop an analysis plan. | 3 | - |
| O2 | Students will be able to critically evaluate the results of statistical analyses and discuss the validity of the findings | 3 | - |
| O3 | Students will be able to develop their own statistical projects using collected data and present their findings. | 3 | - |
| O4 | Students will be able to define basic statistical terms and concepts. | - | 4 |
| O5 | Students will be able to explain data collection and summarization techniques. | - | 4 |
| O6 | Students will be able to perform various statistical analyses using real-world data. | - | 4 |
| O7 | Students will be able to apply hypothesis tests on different data sets and interpret the results. | - | 4 |