International Trade and Logistics (English)
Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistics (English)
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistics (English)
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 04930001 | Applied Statistics | 2 | Autumn | 3 | 3+0+0 | 5 | 5 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | English |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Ufuk AY |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Ufuk AY | C-210 | [email protected] | 7355 | Friday 14:30-16:30 |
Course Content
Basic concepts; Descriptive statistics; Calculations in Excel; Sampling; Sampling Distributions; Statistical Estimation (Point Estimate, Interval Estimation); Parametric and Nonparametric Hypothesis Tests for One Sample, Two Samples, and More than Two Samples; Chi-Square Analysis; Simple Linear Correlation Analysis; Simple Linear Regression Analysis
Objectives of the Course
Evaluation of statistical analysis and use in statistical research related to business together with basic statistical method.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | |
| Support Courses | |
| 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 |
|---|---|---|
| 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 |
| 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 |
| P12 | To be able to act with moral values and professional responsibility. | 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 |
| P10 | To follow the developments in the field of international trade and logistics in Turkish and English. | 1 |
| P9 | To be able to have the competence to conduct market and marketing research. | 4 |
| 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 |
| 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 |
| P6 | To be able to plan and manage individual studies related to International Trade and Logistics and to take responsibility in group studies. | 1 |
| P5 | Ability to work in coordination with different disciplines and cultures. | 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 |
| P3 | To be able to make evaluations and express opinions on economic, administrative, financial and commercial issues. | 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 |
| 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 |
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 define basic statistical terms and concepts. | P.9.4 | 1 |
| O2 | Students will be able to explain data collection and summarization techniques. | P.9.5 | 1 |
| O3 | Students will be able to perform various statistical analyses using real-world data. | P.9.6 | 1 |
| O4 | Students will be able to apply hypothesis tests to different data sets and interpret the results. | P.9.7 | 1 |
| O5 | Students will be able to select appropriate statistical methods for a research problem and develop an analysis plan. | P.8.2 | 1 |
| O6 | Students will be able to critically evaluate the results of statistical analyses and discuss the validity of the findings. | P.8.3 | 1 |
| O7 | Students will be able to develop their own statistical projects using collected data and present their findings. | P.8.4 | 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 | Introduction to Statistics (statistics, science and observation, data structures, research method and statistics) |
| 2 | Variables and Measurement, Frequency Distributions (Tables, Graphs, Percentages) |
| 3 | Central Tendency Measures |
| 4 | Distribution Measures |
| 5 | Introduction to Excel and mathematical calculations |
| 6 | Descriptive statistics in Excel |
| 7 | Introduction to probability |
| 8 | Normal distribution, Standard Normal distribution and usage in probability |
| 9 | Point Estimation and Interval Estimation |
| 10 | Basic Concepts of Hypothesis Testing |
| 11 | Introduction to Parametric Hypothesis Tests |
| 12 | introduction of SPSS and fundamental analysis in SPSS |
| 13 | Parametric Hypothesis Tests - SPSS |
| 14 | Non-Parametric Hypothesis Tests - SPSS |
Textbook or Material
| Resources | Herkenhoff, L., & Fogli, J. (2013). Applied statistics for business and management using Microsoft Excel. New York: Springer. |
| Herkenhoff, L., & Fogli, J. (2013). Applied statistics for business and management using Microsoft Excel. New York: Springer. |
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) | 1 | 14 | 14 |
| Midterms | 1 | 30 | 30 |
| Quiz | 0 | 0 | 0 |
| Homework | 1 | 30 | 30 |
| 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 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 146 | ||
| Total Work Load / 30 | 4,87 | ||
| Course ECTS Credits: | 5 | ||
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 to different data sets and interpret the results. | - | 4 |