Faculty Of Engıneerıng
Cıvıl Engıneerıng (Englısh)

Course Information

STATISTICS
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
CVE209 Fall 3 0 3 3

Prerequisites and co-requisites NONE
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Prof. Dr. Adnan MAZMANOĞLU
Mode of Delivery Face to Face
Suggested Subject NONE
Professional practise ( internship ) None
Objectives of the Course To give basic concepts of probability and statistics, to help students gain fundamental knowledge and skills about using the Statistical Methods in Engineering and Science
Contents of the Course Introduction. Frequency Analysis. Probability. Some Important Probability Distributions. Sampling Distributions. Statistical Hypotesis Testing. Regression Analysis.

Learning Outcomes of Course

# Learning Outcomes
1 To understand the importance of statistics in engineering,
2 To identify the appropriate statistical method according to the actual situation
3 To apply the specified statistical method
4 To organize the obtained data

Course Syllabus

# Subjects Teaching Methods and Technics
1 Definition, development and importance of statistics in Civil Engineerig Lecture
2 Basic Concepts and definitions Lecture
3 Probability and Distribıtions Lecture
4 Frequence Analysis Lecture
5 Parameter Estimation Lecture
6 Important Probability Dsitributions Lecture
7 Extreme Value Distributions Lecture
8 Mid-Term Exam
9 Extreme Value Distribution and applications Lecture
10 Sampling Distribution Lecture
11 Statistical Hypotesis Testing Lecture
12 Regression Analysis Lecture
13 Variance Analysis Lecture
14 Computer Applications Lecture
15 Computer Applications Lecture
16 Final Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 Mühendisler için İstatistik Mehmetçik Bayazıt, Beyhan Oğuz Birsen Yayınevi
2 nşaat Mühendisliğinde Olasılık Yöntemleri Bayazıt, M. İTÜ İnşaat Fakültesi Matbaası, İstanbul

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 To understand the importance of statistics in engineering, 1 1
2 To identify the appropriate statistical method according to the actual situation 2 1
3 To apply the specified statistical method 2 1
4 To organize the obtained data 1 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 3 42
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 3 3
8 Midterm Exam 1 3 3
9 Quiz 0 0 0
10 Homework 0 0 0
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 3 3 9
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 4 4
16 Final Exam 1 6 6
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