Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İNM-23-126Elective126
Level of Course Unit
Third Cycle
Objectives of the Course
Examination of soft-computing methods used in the analysis of structures, which are difficult to solve using analytical models.
Name of Lecturer(s)
Doç. Dr. Ahmet Emin KURTOĞLU
Learning Outcomes
1Learn the logic and purpose of modeling methods.
2Learn the principles of linear regression analysis.
3Learn the principle and applications of nonlinear regression analysis.
4Learn the basic principles and applications of stepwise regression analysis.
5Learn main effect graphs.
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
-
Recommended Optional Programme Components
-
Course Contents
Modeling in civil engineering. Statistical evaluation of modeling. Linear regression analysis. Non-Linear regression analysis. Stepwise regression analysis. Design of experiments. Main effects of plot. Interaction effects plot.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Recommended or Required Reading
Andrea Tettamanzi, Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems, Springer, 2010. A. K. Srivastava, Soft Computing, Narosa Pub House, 2008. B. Karasulu, Esnek Hesaplama, Nobel yayıncılık, 2015
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Work Placement(s)
-
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14342
Self Study14456
Individual Study for Mid term Examination7428
Individual Study for Final Examination7535
TOTAL WORKLOAD (hours)165
Contribution of Learning Outcomes to Programme Outcomes
LO1
LO2
LO3
LO4
LO5
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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