| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | SAK114B | Statistics | Compulsory | 1 | 2 | 4 |
|
| Level of Course Unit |
| Short Cycle |
| Objectives of the Course |
| The aim of this course is to gain the ability to collect, store and process the data that employees need for the best decision-making in both businesses and various organizations. |
| Name of Lecturer(s) |
| Dr. Öğr. Üyesi Kübra Elmalı |
| Learning Outcomes |
| 1 | Collecting data to be used in the decision-making process | | 2 | Organizing this data collected in the enterprise in order to present it to the relevant people and displaying this data in various graphic environments | | 3 | Determining which functions belonging to the sample selected from the group to be researched can be used in the research | | 4 | Determining which of these functions selected for the research is more appropriate to use in which situation and their advantages over each other | | 5 | Determining the relationship between the variables used in the decision-making process |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| It is aimed to teach the definition of statistics, the basic concepts used, data types and collection methods, data organization, measures of central tendency, measures of distribution, estimation theory, correlation analysis, regression analysis and indexes. |
| Weekly Detailed Course Contents |
|
| 1 | Definition of statistics, variable, population, unit, unit selection and data collection types | None | None | | 2 | Series in statistics; time, space and dispersion series, cumulative series, composite series and displaying these series in graphical environment | None | None | | 3 | Sensitive averages; arithmetic mean, weighted arithmetic mean, geometric mean and square mean | None | None | | 4 | Non-sensitive means; mode and median | None | None | | 5 | Değişim aralığı, standart sapma, değişim katsayısı, varyans | None | None | | 6 | Prediction theory | None | None | | 7 | Determining the significance levels of hypothesis testing | None | None | | 8 | Midterm exam | None | None | | 9 | chi-square test | None | None | | 10 | chi-square test | None | None | | 11 | Correlation analysis | None | None | | 12 | Regression analysis | None | None | | 13 | indexes | None | None | | 14 | In-class case studies | None | None | | 15 | In-class case studies | None | None |
|
| Recommended or Required Reading |
| Applied Statistics 2- Prof. Dr. Alaadin Yasar Prof.Dr. Erkan Oktay |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 2 | 28 |
| Question-Answer | 14 | 2 | 28 |
| Self Study | 14 | 2 | 28 |
| Individual Study for Mid term Examination | 2 | 7 | 14 |
| Individual Study for Final Examination | 2 | 9 | 18 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 1 | 1 | 1 | 5 | 4 | 1 | 1 | 1 | 1 | | LO2 | 5 | 2 | 1 | 1 | 5 | 5 | 3 | 1 | 1 | 1 | | LO3 | 5 | 4 | 1 | 1 | 5 | 5 | 3 | 1 | 1 | 1 | | LO4 | 5 | 5 | 1 | 2 | 5 | 5 | 4 | 1 | 1 | 1 | | LO5 | 5 | 5 | 1 | 2 | 5 | 5 | 4 | 1 | 1 | 1 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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