İM578 Data Collection and Analysis

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

Information

Code İM578
Name Data Collection and Analysis
Term 2024-2025 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 Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EMEL ORAL
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
PLO01 Bilgi - Kuramsal, Olgusal Have knowledge and understanding at advanced level providing required basis for original projects in the field of civil engineering based on qualifications gained at undergraduate level.
PLO02 Bilgi - Kuramsal, Olgusal Gain required knowledge through scientific research in the field of engineering, evaluate, interpret and apply data. 4
PLO03 Yetkinlikler - Öğrenme Yetkinliği Be aware of new and emerging applications,examine and learn where necessary.
PLO04 Yetkinlikler - Öğrenme Yetkinliği Construct engineering problems, develop strategies to solve them, and apply innovative methods for solutions. 2
PLO05 Yetkinlikler - Öğrenme Yetkinliği Design and implement analytical modeling and experimental research and solve complex situations encountered in this process. 2
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develop new and / or original ideas and methods; develop innovative solutions for the system, part, and process design.
PLO07 Beceriler - Bilişsel, Uygulamalı Have learning skills.
PLO08 Beceriler - Bilişsel, Uygulamalı Be aware of innovative developments in the field of civil engineering, and analyse and learn them when needed.
PLO09 Yetkinlikler - Öğrenme Yetkinliği ransfer process and results of the projects in the field of civil engineering or on national and international platforms in written or oral form.
PLO10 Beceriler - Bilişsel, Uygulamalı Have knowledge in current techniques and methods applied in civil engineering.
PLO11 Beceriler - Bilişsel, Uygulamalı Use computer software as well as information and communication technologies at the level required in the field of civil engineering. 3
PLO12 Beceriler - Bilişsel, Uygulamalı Oversee social, scientific and ethical values in all professional platforms.


Week Plan

Week Topic Preparation Methods
1 Introduction Investigation of the concept of statistics Öğretim Yöntemleri:
Anlatım
2 Data Types (Part 1) Review of the previous lesson Öğretim Yöntemleri:
Anlatım
3 Data Types (Part 2) Review of the previous lesson Öğretim Yöntemleri:
Anlatım
4 Main Statistical Indicators Research on data types Öğretim Yöntemleri:
Anlatım, Örnek Olay
5 Concepts of Correlation and Regression Investigating continuous and categorical data Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Normal Distribution Review of continuous data and likert scale Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Parametric Hypothesis Testing Review of the normal distribution Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Review of the previous lesson Ölçme Yöntemleri:
Proje / Tasarım
9 Non-Parametric Hypothesis Testing Review of the normal distribution Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Regression Models Review of the continuous data Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Cluster Analysis Investigation of clustering types Öğretim Yöntemleri:
Anlatım, Tartışma
12 Cluster Analysis (Implementation) Review of the previous lesson Öğretim Yöntemleri:
Anlatım
13 Factor Analysis Review of correlation concept Öğretim Yöntemleri:
Anlatım
14 Scale Reliability Investigation of reliability analysis types Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 End of semester homework presentations Preliminary work on the project Öğretim Yöntemleri:
Bireysel Çalışma
16 Term Exams Review of the lessons Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review of the lessons Ölçme Yöntemleri:
Yazılı Sınav


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: 14.11.2024 09:23