seda@uludag.edu.tr 224-294-2085 Endüstri Mühendisliği Bölümü Görükle Bursa
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Website:
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Objective of the Course:
To convey statistical analysis techniques to graduate level students for them to use in their applied or theoretical studies .
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Contribution of the Course to Professional Development
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Learning Outcomes:
1
Ability to identify and solve real-life problems that contain uncertainty;
2
Ability to analyze collected data from designed or undesigned experiments;
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Course Content:
Week
Theoretical
Practical
1
Introduction to Fundamentals of Statistics
2
Measures of Central Tendency and Dispersion
3
Depicting statistical data with graphics
4
Proability distributions
5
Hypothesis testing – statistical estimation
6
Introduction to regression analysis
7
Advanced regression analysis
8
Repeating courses and midterm exam
9
Correlation measures
10
One-way ANOVA
11
Multi-factor ANOVA
12
ANCOVA
13
Nonparametric methods
14
Clustering-classification methods
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Textbooks, References and/or Other Materials:
Montgomery, D. C. “Design and Analysis of Experiments”, Sixth Ed., John Wiley & Sons, 2004. Walpole, Myers, Myers and Ye, Probability and Statistics or Engineers and Scientists, Prentice-Hall, 2011
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
20
Quiz
3
30
Homeworks, Performances
5
20
Final Exam
1
30
Total
9
100
Contribution of Term (Year) Learning Activities to Success Grade
70
Contribution of Final Exam to Success Grade
30
Total
100
Measurement and Evaluation Techniques Used in the Course
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
8,5
119
Homeworks, Performances
5
10
50
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
2
2
Others
3
4
12
Final Exams
1
3
3
Total WorkLoad
228
Total workload/ 30 hr
7,6
ECTS Credit of the Course
7,5
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
