İM004 Data Collection and Analysis

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code İM004
Name Data Collection and Analysis
Term 2000-2001 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi SERKAN AYDINLI
Course Instructor
1


Course Goal / Objective

Applies data collection methods during the management of construction projects and gains the ability to analyze the indicators indicated by the data.

Course Content

Data types, the main statistics and statistical analysis methods in construction projects

Course Precondition

None

Resources

Çok Değişkenli İstatistik Analizi İle Farklı Alanlarda Uygulamalar, Dr. Öğr. Üyesi Nilay Köleoğlu, Doç. Dr. Fatih Çemrek, Doç. Dr. Şenol Çelik

Notes

SPSS User Manual


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understand the data types used in construction projects
LO02 Calculate distributions of samples and main statistical indicators
LO03 Applies appropriate hypothesis tests to samples
LO04 Calculates correlation and regression between variables
LO05 Develops and applies scales


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level


Week Plan

Week Topic Preparation Methods
1 Introduction Investigation of the concept of statistics
2 Data Types (Part 1) Review of the previous lesson
3 Data Types (Part 2) Review of the previous lesson
4 Main Statistical Indicators Research on data types
5 Concepts of Correlation and Regression Investigating continuous and categorical data
6 Normal Distribution Review of continuous data and likert scale
7 Parametric Hypothesis Testing Review of the normal distribution
8 Mid-Term Exam Review of the previous lesson
9 Non-Parametric Hypothesis Testing Review of the normal distribution
10 Regression Models Review of the continuous data
11 Cluster Analysis Investigation of clustering types
12 Cluster Analysis (Implementation) Review of the previous lesson
13 Factor Analysis Review of correlation concept
14 Scale Reliability Investigation of reliability analysis types
15 End of semester homework presentations Preliminary work on the project
16 Term Exams Review of the lessons
17 Term Exams Review of the lessons


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 7 5 35
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 10 10
Total Workload (Hour) 139
Total Workload / 25 (h) 5,56
ECTS 6 ECTS

Update Time: 28.05.2024 03:08