ÇM0030 Statistical Methods in Environmental Engineering

6 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Code ÇM0030
Name Statistical Methods in Environmental Engineering
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

To provide information about statistical analysis and graphical representation of measured data in physical, biological and chemical treatment.

Course Content

Statistical analysis of data measured in physical, biological and chemical treatment and graphical representations. Understanding Probability and Sampling distributions by learning regression (linear and multiple regression), Correlation, Error and Variance analysis. Confidence interval, Hypothesis and Confidence Tests.

Course Precondition

none

Resources

Lecture Notes

Notes

internet notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Probability is learned and applied
LO02 Statistics is learned and applied.
LO03 Necessary information is learned for an Engineer to use statistics and probability effectively in her/his field
LO04 Uses statistics and probability knowledge in environmental engineering studies.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Improves and provides required information on the basis of the basic competencies gained at the undergraduate level in the field of Environmental Engineering. 4
PLO02 Bilgi - Kuramsal, Olgusal Understands the interdisciplinary interactions related to their field.
PLO03 Bilgi - Kuramsal, Olgusal Uses the theoretical and practical knowledge at his specialized level in his field.
PLO04 Bilgi - Kuramsal, Olgusal Combines and comments on the knowledge in their area with various scientific discipline and ability to produce new knowledge, to be able to solve the problems demanding expertise using scientific methods.
PLO05 Bilgi - Kuramsal, Olgusal Describes the problem independently in their field, evaluates solving methods, comments on the results and applies of the results when necessary. 3
PLO06 Bilgi - Kuramsal, Olgusal Develops new strategic methods in order to solve unexpected complex problems encountered related to their field and takes initiatives to formulate a solution.
PLO07 Beceriler - Bilişsel, Uygulamalı Analyses the knowledge in his field in a critical way and and directs his learning and performs advanced level research independetly 3
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Transfers current developments in the field of his studies, supporting them with quantitative and qualitative data, systematically to the area outside of the field, written, orally and visually. 4
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Examines, develops social relationships and the norms which diverts these social relationships with a critical view of and acts to change them if necessary.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Has the command of a foreign language at a level to translate and understand an article written in.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses advanced information and communication technologies along with the required level of his computer software. 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği Develops plans of strategy, policy, and implementation issues related to their area and evaluates results obtained within the framework of processes of quality.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Teaches each and supervises scientific and ethical values at the stages of data collection, interpretation related to their field.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Uses knowledge in their field for problem solving and / or practical skills in interdisciplinary studies.


Week Plan

Week Topic Preparation Methods
1 Set Theory and Sample Space Reading and research Öğretim Yöntemleri:
Anlatım
2 Permutations and Combinations Reading and research Öğretim Yöntemleri:
Anlatım
3 Introduction to Probability Reading and research Öğretim Yöntemleri:
Anlatım
4 Random Variables and Their Distributions Reading and research Öğretim Yöntemleri:
Anlatım
5 Some Discrete Probability Distributions Reading and research Öğretim Yöntemleri:
Anlatım
6 Distributions of Continuous Random Variables Reading and research Öğretim Yöntemleri:
Anlatım
7 Sample Selection and Organizing and Analysis of Data Reading and research Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reading and research Ölçme Yöntemleri:
Yazılı Sınav
9 Sampling Distributions and Estimation Reading and research Öğretim Yöntemleri:
Anlatım
10 Statistical Inference: Hypothesis Testing Reading and research Öğretim Yöntemleri:
Anlatım
11 Regression and Correlation Reading and research Öğretim Yöntemleri:
Anlatım
12 Variance Analysis Reading and research Öğretim Yöntemleri:
Anlatım
13 Index Numbers Reading and research Öğretim Yöntemleri:
Anlatım
14 Analysis of Time Series Reading and research Öğretim Yöntemleri:
Anlatım
15 Combinational Analysis, Probability Theory Problems Reading and research Öğretim Yöntemleri:
Anlatım
16 Term Exams Reading and research Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading and research Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 152
Total Workload / 25 (h) 6,08
ECTS 6 ECTS

Update Time: 20.05.2024 02:01