| ENGINEERING MANAGEMENT (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ENM5203 | Statistical Data Analysis and Decision Making | Fall | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. ETHEM ÇANAKOĞLU |
| Course Lecturer(s): |
Prof. Dr. SELİM ZAİM Assoc. Prof. YÜCEL BATU SALMAN |
| Recommended Optional Program Components: | N/A |
| Course Objectives: | This course provides the use of statistical and quantitative methods using computer technology to examine and explore data. It aims to build and interpret models from this data for decision making in all functional areas. |
|
The students who have succeeded in this course; Ability to make decisions with statistical methods, ability to collect meaningful data, ability to interpret data and transform it into information/knowledge |
| Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis, ANOVA. |
| Week | Subject | Related Preparation |
| 1) | Introduction: Description of data | |
| 2) | Data collection | |
| 3) | Descriptive Statistics | |
| 4) | Confidence intervals | |
| 5) | Hypothesis testing | |
| 6) | Hypothesis testing | |
| 7) | Midterm | |
| 8) | Regression analysis | |
| 9) | Regression analysis | |
| 10) | ANOVA | |
| 12) | ANOVA | |
| 12) | SPSS | |
| 13) | Project presentations | |
| 14) | Project presentations |
| Course Notes / Textbooks: | N/A |
| References: | Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 35 |
| Midterms | 1 | % 25 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 25 | |
| PERCENTAGE OF FINAL WORK | % 75 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 4 | 56 |
| Presentations / Seminar | 1 | 15 | 15 |
| Project | 1 | 90 | 90 |
| Midterms | 1 | 40 | 40 |
| Final | 1 | 60 | 60 |
| Total Workload | 303 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Follows the scientific literature, analyzes it critically, and uses it effectively in solving engineering problems. | |
| 2) | Designs, plans, implements, and manages original projects related to the program field. | |
| 3) | Independently conducts studies related to the program field, assumes scientific responsibility, and evaluates the results with a critical perspective. | |
| 4) | Presents the results of their research and projects effectively in written, oral, and visual formats in accordance with academic standards. | |
| 5) | Conducts independent research on subjects requiring expertise in their field, develops original ideas, and transfers this knowledge into practice. | |
| 6) | Effectively uses advanced theoretical and practical knowledge specific to the program field. | |
| 7) | Acts in accordance with professional, scientific, and ethical values; takes responsibility by considering the social, environmental, and ethical impacts of engineering practices. |