GRADUATE SCHOOL
M.SC. in Bioengineering (With Thesis)
BEN 501 | Course Introduction and Application Information
| Course Name |
Statistical Design and Analysis of Bioengineering Studies
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|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
BEN 501
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
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| Course Language |
English
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| Course Type |
Elective
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| Course Level |
Second Cycle
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The purpose of this course is to provide graduate students with the necessary fundamental knowledge and provide the ability to use statistical algorithms and designs to have an understanding of how to identify research topics, formulate research questions and corresponding hypotheses, select an appropriate research and, where applicable, experimental design. |
| Learning Outcomes |
The students who succeeded in this course;
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| Course Description | This course covers research methods related to thesis studies, identifying the type and purpose of the research study, develoing an hypothesis, statistical design of experiments, optimization experiments, application of software programs for the utilization of design of experiments and the ethics of scientific research. |
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Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction, history of experiments and historical methods of generating knowledge | Foundations of Industrial Research and Experimental Design Jeffrey Luftig & Victoria Jordan, McGraw-Hill Publishing Company, 1998. (Chapter 1) |
| 2 | Identifying the type and purpose of the research study, types of research studies | Foundations of Industrial Research and Experimental Design Jeffrey Luftig & Victoria Jordan, McGraw-Hill Publishing Company, 1998. (Chapter 2) |
| 3 | Developing the Experimental Design, understanding the concepts of sample size and optimization | Foundations of Industrial Research and Experimental Design Jeffrey Luftig & Victoria Jordan, McGraw-Hill Publishing Company, 1998. (Chapter 3) |
| 4 | Designing the Plan for the Statistical Analysis of the Data, parametric and non-parametric designs and analysis | Foundations of Industrial Research and Experimental Design Jeffrey Luftig & Victoria Jordan, McGraw-Hill Publishing Company, 1998. (Chapter 8) |
| 5 | Basic statistical methods | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 2) |
| 6 | Experiments with single and multiple factors, ANOVA | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 3-5) |
| 7 | Midterm | |
| 8 | Response surface methods and designs (Box-Behnken, Design Expert software) | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 6-8) |
| 9 | Response surface methods and designs (Box-Behnken, Design Expert software) | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 6-8) |
| 10 | Factorial methods and designs (Taguchi OA, Design Expert software) | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 6-8) |
| 11 | Factorial methods and designs (Taguchi OA, Design Expert software) | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 9) |
| 12 | Optimization with Taguchi OA (Design Expert software) | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter 9) |
| 13 | Reporting the results of the research study | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (Chapter11) |
| 14 | Project presentation | |
| 15 | Project presentation | |
| 16 | Review of the semester |
| Course Notes/Textbooks | Design and Analysis of Experiments D.C. Montgomery, John Wiley & Sons, New York, 2001 (8th Edition) |
| Suggested Readings/Materials | Foundations of Industrial Research and Experimental Design (formerley) Design of Experiments in Quality Engineering, Jeffrey Luftig & Victoria Jordan, McGraw-Hill Publishing Company, 1998.
Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition. Box, George E. P., J. Stuart Hunter, and William G. Hunter. 2005. Wiley-Interscience.
Research Ethics for Scientists: A Companion for Students. C. Neal Stewart Jr. 2011 John Wiley & Sons, Ltd. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
10
|
| Presentation / Jury |
1
|
30
|
| Project |
1
|
30
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
4
|
100
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
1
|
14
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
1
|
37
|
37
|
| Presentation / Jury |
1
|
46
|
46
|
| Project |
1
|
40
|
40
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
40
|
40
|
| Final Exam |
0
|
||
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
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| 1 | To be able to have adequate knowledge in Mathematics, Life Sciences and Bioengineering; to be able to use theoretical and applied information in these areas to model and solve Bioengineering problems. |
X | ||||
| 2 | To be able to use scientific methods to complete and apply information from uncertain, limited or incomplete data; to be able to combine and use information from related disciplines. |
X | ||||
| 3 | To be able to design and apply theoretical, experimental and model-based research; to be able to solve complex problems in such processes. |
X | ||||
| 4 | Being able to utilize Natural Sciences and Bioengineering principles to design systems, devices and processes. |
X | ||||
| 5 | To be able to follow and apply new developments and technologies in the field of Bioengineering. |
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| 6 | To be able to work effectively in multi-disciplinary teams within the discipline of Bioengineering; to be able to exhibit individual work. |
X | ||||
| 7 | To be able to have the knowledge about the social, environmental, health, security and law implications of Bioengineering applications, to be able to have the knowledge to manage projects and business applications, and to be able to be aware of their limitations in professional life. |
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| 8 | To be able to have the social, scientific and ethical values in the stages of collection, interpretation, dissemination and application of data related to the field of Bioengineering. |
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| 9 | To be able to prepare an original thesis/term project in accordance with the criteria related to the field of Bioengineering. |
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| 10 | To be able to follow information about Bioengineering in a foreign language and to be able to participate in discussions in academic environments. |
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| 11 | To be able to improve the acquired knowledge, skills and qualifications for social and universal purposes regarding the studied area. |
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| 12 | To be able to recognize regional and global issues/problems, and to be able to develop solutions based on research and scientific evidence related to Bioengineering. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest