BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| INE6150 | Design of Experiments | Fall | 3 | 0 | 3 | 8 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | |
| Recommended Optional Program Components: | N.A. |
| Course Objectives: | The aim of the course is to introduce the most commonly used experiments in engineering studies, to discuss the ideas, principles and assumptions required for the construction, implementation, and validity of the analysis for each experimental design and to analyze the resulting data. Applications with statistical software packages are also utilized. |
Learning Outcomes
|
The students who have succeeded in this course; I. Explain the difference between fixed and random factors. II. Recognize the difference between completely randomized design and randomized blocks. III. Design and conduct experiments involving several factors using the factorial design approach. IV. Use ANOVA to analyze the data from the experiments. V. Analyze and interpret main effects and interactions. VI. Design and conduct experiments involving the randomized complete block design. VII. Design and conduct fractional factorial designs. VIII. Assess model adequacy with residual analyses. IX. Perform power analysis and calculate the sample size required for a design. |
Course Content
| Randomization, replication, blocking, transformations, fixed and random effect models, single factor experiments (analysis of variance), Latin squares, factorial designs, fractional factorial designs. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction to Designed Experiments | |
| 2) | Basic Statistical Methods | |
| 3) | Basic Statistical Methods | |
| 4) | Analysis of Variance | |
| 6) | Analysis of Variance | |
| 7) | Experiments with Blocking Factors | |
| 8) | Experiments with Blocking Factors | |
| 9) | Midterm Exam | |
| 10) | Factorial Experiments | |
| 11) | Factorial Experiments | |
| 12) | Two-Level Fractional Factorial Designs | |
| 13) | Two-Level Fractional Factorial Designs | |
| 14) | Project presentations |
Sources
| Course Notes / Textbooks: | Douglas C. Montgomery, 2012. Design and Analysis of Experiments, John Wiley & Sons, 8th Edition |
| References: | N.A. |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 4 | % 10 |
| Project | 1 | % 20 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Study Hours Out of Class | 14 | 28 |
| Presentations / Seminar | 1 | 10 |
| Project | 4 | 40 |
| Homework Assignments | 4 | 40 |
| Midterms | 1 | 15 |
| Final | 1 | 20 |
| Total Workload | 195 | |
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |