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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 | ||