GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS FOR CIVIL ENGINEERS/IM225E
Course Title: STATISTICS FOR CIVIL ENGINEERS
Credits 3 ECTS 4
Semester 3 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Prof. Dr. Can E. Balas, Doç. Dr. S. Oğuzhan Akbaş
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/cbalas, http://websitem.gazi.edu.tr/site/soakbas
 -- EMAIL(S) OF LECTURER(S)
  cbalas@gazi.edu.tr, soakbas@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
An ability to apply knowledge of mathematics, science, and engineering
An ability to design a system, component, or process to meet desired needs
An ability to function on multi-disciplinary teams
An ability to identify, formulate, and solve engineering problems
An understanding of professional and ethical responsibility
An ability for effective written and oral communication in Turkish and English
The broad education necessary to understand the impact of engineering solutions in a global and societal context
A recognition of the need for, and ability to engage in life-long learning
A knowledge of contemporary issues
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Importance of Statistics in Civil Engineering
2. Week  Probability Theory, Bayes Theorem
3. Week  Probability Theory
4. Week  Frequency Analysis and Estimating of Parameters
5. Week  Frequency Analysis and Estimating of Parameters
6. Week  Probability Distributions
7. Week  I. Midterm
8. Week  Probability Distribution Functions
9. Week  Determination of Continous Probability Distribution Models
10. Week  Determination of Discrete Probability Distribution Models
11. Week  Regression and Correlation Analysis
12. Week  Regression and Correlation Analysis
13. Week  II. Midterm
14. Week  Risk and Return Period. Structural Reliability Analysis
15. Week  Anova Tables
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Statistics, Probability and Reliability for Civil and Environmental Engineers, Nathabandu T. Kottegoda, Renzo Rosso, McGraw hill International Editions, 1998 A. H. S. Tang and W. H. Tang, 1975, Probability Concepts in Engineering Planning and Design, Vol:1, John Wiley and Sons, USA. D. C. Montgomery and G.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Recitation Hours
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
2
60
 Assignment
2
15
 Exercises
0
0
 Projects
1
15
 Practice
0
0
 Quiz
4
10
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
14
0
0
 Reading
14
0
0
 Searching in Internet and Library
14
0
0
 Designing and Applying Materials
14
0
0
 Preparing Reports
14
1
14
 Preparing Presentation
14
0
0
 Presentation
14
1
14
 Mid-Term and Studying for Mid-Term
2
10
20
 Final and Studying for Final
1
10
10
 Other
0
0
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 ECTS: 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Have sufficient theoretical and practical background for a successful profession and application skills of fundamental scientific knowledge in the engineering practiceX
2Have skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situationsX
3Have the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.X
4Have the ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusionsX
5Have the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologiesX
6Have ability of identifying the potential resources for information or knowledge regarding a given engineering issueX
7Have abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidenceX
8Have motivation for life-long learning and having known significance of continuous education beyond undergraduate studies for science and technologyX
9Is aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issuesX
10Have the ability for effective oral and official communication skills in Turkish Language and, at minimum, one foreign languageX
11Have consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanityX
12well-structured responsibilities in profession and ethicsX