GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
EXPERIMENT DESIGN/5461307
Course Title: EXPERIMENT DESIGN
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
At the end of course, the students will learn properties of statistical design of experiments
analysis of variance for experiments with a single factor and comparisons of treatment means.
analysis of variance for experiments with multiple factors interactions among factors
response surface methods and its application
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Basic principles in experimental design, some typical applications of experimental design
2. Week  Experiments with single factor: The analysis of variance
3. Week  Comparison among treatment means, confidence intervals, components of variance
4. Week  Random blocks with single factor: Randomized complete block design
5. Week  Balanced Incomplete Block Designs
6. Week  Latin squares and related designs
7. Week  Midterm
8. Week  Factorial Designs
9. Week  Factorial Designs
10. Week  Two-level fractional factorial designs
11. Week  2k factorial design
12. Week  Blocking in the 2k factorial design
13. Week  Response surface methods and designs
14. Week  Experiments with random factors
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
25
 Assignment
4
15
 Application
1
10
 Projects
1
25
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
75
 Percentage of Final Exam to Total Score  
25
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
10
2
20
 Searching in Internet and Library
5
5
25
 Material Design and Implementation
0
 Report Preparing
2
15
30
 Preparing a Presentation
1
5
5
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
2
15
30
 Final Exam and Preperation for Final Exam
2
15
30
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
183
 TOTAL WORKLOAD / 25: 
7.32
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Can Reach the information in width and in depth by conducting scientific research in the field, evaluate, interpret and apply the information.
2Has comprehensive knowledge about current techniques and methods applied in engineering and their limitations.X
3Completes and applies knowledge using scientific methods, using uncertain, limited or incomplete data; use information from different disciplines together.
4Aware of the new and emerging practices of the profession, examines and learns when needed.X
5Defines and formulates problems related to the field, develops methods to solve them and applies innovative methods in solutions.X
6Develops new and / or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7Designs and applies theoretical, experimental and modeling based research; examines and solves the complex problems encountered in this process.X
8Can work effectively in disciplinary and multidisciplinary teams, can lead such teams and develop solutions in complex situations; work independently and take responsibility.
9Communicate verbally and in writing by using a foreign language at least at the B2 level of European Language Portfolio.
10Transfer the process and results of his / her studies in written and verbal form in a systematic and clear manner in national and international environments within or outside the field.
11Knows the social, environmental, health, security, legal aspects of engineering applications as well as project management and business practices and is aware of the constraints that these impose on engineering applications.
12It considers social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.X
 -- NAME OF LECTURER(S)
   (Prof.Dr. Fulya Altıparmak , Prof. Dr. Ömer Faruk Baykoç and other relevant faculty members)
 -- WEB SITE(S) OF LECTURER(S)
   (www.gazi.edu.tr/~fulyaal , www.gazi.edu.tr/~baykoc)
 -- EMAIL(S) OF LECTURER(S)
   (fulyaal@gazi.edu.tr , baykoc@gazi.edu.tr)