INFORMATION TECHNOLOGIES (ENGLISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
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. |
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. |
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. |
Randomization, replication, blocking, transformations, fixed and random effect models, single factor experiments (analysis of variance), Latin squares, factorial designs, fractional factorial designs. |
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 |
Course Notes / Textbooks: | Douglas C. Montgomery, 2012. Design and Analysis of Experiments, John Wiley & Sons, 8th Edition |
References: | N.A. |
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 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Uses basic Software Engineering knowledge and competencies. | |
2) | Applies the software development ability that is necessary for software engineering applications. | |
3) | Uses data structures and applies information about algorithm development. | |
4) | Develops system programs on operating systems. | |
5) | Defines computer organization, design and architectures. | |
6) | Creates the structure of computer networks and network security. | |
7) | Uses business intelligence, data mining and data analysis tools, applies techniques about them. | |
8) | Develops database applications and WEB based programs. | |
9) | Defines, analyzes, designs and manages information technologies projects. | |
10) | Uses and develops technology-based environments and tools in education. | |
11) | Detects, identifies and solves information technology needs of the business environment. | |
12) | Uses the capabilities of information technologies within the rules of professional responsibility and ethics. |