İM578 Data Collection and Analysis

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

Information

Code İM578
Name Data Collection and Analysis
Semester . Semester
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 Goal

Introduction of statistical methods required during post graduate studies

Course Content

Statistical analysis

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Descriptive statistical methods
LO02 Descriptive statistical methods
LO03 Descriptive statistical methods
LO04 Descriptive statistical methods
LO05 Distributions
LO06 Distributions
LO07 Distributions
LO08 Exam
LO09 Distributions
LO10 Distributions
LO11 Hypothesis testing
LO12 Hypothesis testing
LO13 Hypothesis testing
LO14 Regression and correlation analysis
LO15 Regression and correlation analysis


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.
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.
PLO05 Yetkinlikler - Öğrenme Yetkinliği Design and implement analytical modeling and experimental research and solve complex situations encountered in this process.
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.
PLO12 Beceriler - Bilişsel, Uygulamalı Oversee social, scientific and ethical values in all professional platforms.


Week Plan

Week Topic Preparation Methods
1 Descriptive statistical methods Reading and problem solving Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Descriptive statistical methods Reading and problem solving
3 Descriptive statistical methods Reading and problem solving
4 Descriptive statistical methods Reading and problem solving
5 Distributions Reading and problem solving
6 Distributions Reading and problem solving
7 Distributions Reading and problem solving
8 Mid-Term Exam Written exam
9 Distributions Reading and problem solving
10 Hypothesis tests Reading and problem solving
11 Hypothesis tests Reading and problem solving
12 Hypothesis tests Reading and problem solving
13 Hipotez testleri Reading and problem solving
14 Regression and correlation Reading and problem solving
15 Regression and correlation Reading and problem solving
16 Term Exams Written exam
17 Term Exams Written exam


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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS