| INTERIOR DESIGN (TURKISH, THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ISM5203 | Statistical Data Analysis and Decision Making | Fall | 3 | 0 | 3 | 8 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | Turkish |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. ETHEM ÇANAKOĞLU |
| Course Lecturer(s): |
Prof. Dr. CENGİZ KAHRAMAN Assoc. Prof. YÜCEL BATU SALMAN |
| Recommended Optional Program Components: | N/A |
| Course Objectives: | This course provides the use of statistical and quantitative methods 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. |
| 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 | |
| 11) | ANOVA | |
| 12) | SPSS | |
| 13) | Project presentations | |
| 14) | Project presentations |
| Course Notes / Textbooks: | Douglas C. Montgomery and George C. Runger. Applied Statistics and Probability for Engineers, John Wiley & Sons, 7th Edition. |
| 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 | 2 | 28 |
| Laboratory | 14 | 2 | 28 |
| Study Hours Out of Class | 14 | 1 | 14 |
| Project | 1 | 30 | 30 |
| Final | 1 | 30 | 30 |
| Total Workload | 130 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Building on undergraduate qualifications, students can develop and deepen their knowledge at a specialist level in the field of Interior Architecture. | 1 |
| 2) | Students can approach ill-defined and complex design problems at various scales within their field using critical thinking and scientific methods, developing comprehensive solutions. | 1 |
| 3) | Students can independently conduct qualitative and quantitative research requiring expertise in the field of Interior Architecture, contributing to professional knowledge and practice. | 5 |
| 4) | Students can independently conduct specialist-level studies in Interior Architecture or related disciplines while developing the ability to lead group projects, take on responsibilities, and effectively contribute to collaborative work. | 5 |
| 5) | Students develop lifelong learning skills. | 2 |
| 6) | Students can develop new approaches and generate knowledge in Interior Architecture and related disciplines. They are capable of presenting their research or design outcomes as a scientific thesis in Turkish and sharing their work on academic platforms through written, oral, or digital means. | 5 |
| 7) | Students develop an awareness of the social responsibilities, legal, ethical, and aesthetic values of the Interior Architecture discipline. | 5 |