Faculty Of Engıneerıng
Electrıcal And Electronıcs Engıneerıng (Englısh)

Course Information

ENGINEERING STATISTICS
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
MAT311 Fall 3 0 3 5

Prerequisites and co-requisites
Language of instruction English
Type Elective
Level of Course Bachelor's
Lecturer Asst. Prof. Türker ERTEM
Mode of Delivery Face to Face
Suggested Subject
Professional practise ( internship ) None
Objectives of the Course Offering Probability and Statistics Basis, To gain basic knowledge and skills about the use of statistical methods in science and engineering
Contents of the Course Introduction, Frequency Analysis Probability, Probability Distributions, Sampling Distributions, Hypothesis Testing, Regression Analysis

Learning Outcomes of Course

# Learning Outcomes
1 Analyzing statistical significance in engineering.
2 Determine the statistical method appropriate to the situation
3 Apply the statistical method determined
4 Ability to edit existing data

Course Syllabus

# Subjects Teaching Methods and Technics
1 Definition and Development of Statistic, Place and Priority in Civil Engineering Lecture
2 Basic Concepts and Definitions Lecture
3 Probability and Distributions Lecture
4 Frequency Analysis Lecture
5 Estimation of Parameters Lecture
6 Important Probability Distribution Functions Lecture
7 Midterm exam
8 Extreme Value Distributions Lecture
9 Extreme Value Distributions and Numerical Applications Lecture
10 Sampling Distributions Lecture
11 Control of Statistical Hypotheses Lecture
12 Regresyon Analizi 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

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 Analyzing statistical significance in engineering. 1 1͵2
2 Determine the statistical method appropriate to the situation 1 1͵2
3 Apply the statistical method determined 1 1͵2
4 Ability to edit existing 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 2 28
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 8 8
8 Midterm Exam 1 1 1
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 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 10 10
16 Final Exam 1 1 1
  90