| Course Name: | ENVIRONMENTAL DATA ANALYSIS |
| Course Code: | ENVE 451 |
| Type of Course: | Undefined |
| Level of Course: | Undergraduate (First Cycle) |
| Year of Study: | 4 |
| Semester/Trimester: | Fall |
| ECTS Credits: | 5 |
| FU Credits: | 3 |
| Name(s) of Lecturer(s): | Ömer AĞA EA-106 ( oalagha@fatih.edu.tr ) |
| Course Coordinator: | Ömer AĞA |
| Objectives of the Course: | This course provides a coherent introduction to intermediate and advanced methods for environmental data analysis and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of evaluation. |
| Course Description: | This course is designed to give students the knowledge and practical experience they need to interpret lab and field data. The objective of the course is to provide the students with a basic and applied knowledge of probabilistic and statistical methods to analyze some phenomena, with an emphasis on several environmental data study. Subject of this course includes: Acquisition and processing of environmental information focusing on several areas such as air and water pollution, sediment analysis, microbiology, etc. Analysis and interpretation of real- time and historical environmental data. Use of computers for analysis and display, assessment of spatial and temporal variability. Basic principles of statistics and GIS. Use of MS Excel software with Statplus and SPSS sofware. Methods of time series data analysis, including probability and statistics, power spectral density, correlation, sampling and coherence. |
| Learning Outcomes: | 1. To provide the stıdents with the necessary background how to deal with environmentaş data
2. To use the proper statistical treatment tests
3. To apply the statistical packages to data set
4. To prepare a project based on data treatment and evaluation |
| Mode of Delivery: | Face-to-Face |
| Prerequisites: | None |
| Co-requisites: | None |
Course Contents:
( Weekly Lecture Plan ) | | Week | Topics | | 1 | Characteristics of environmental quality data | | 2 | Statistical characterization of data | | 3 | The normal or Gaussian distribution | | 4 | The lognormal distribution | | 5 | Additional useful distributions | | 6 | Identification of system changes and outliers | | 7 | Identification of system changes and outliers | | 8 | Characterizing coincident behavior-regression | | 9 | Testing differences between monitoring records | | 10 | Multiple comparisons using parametric analyses | | 11 | Multiple comparisons using parametric analyses | | 12 | Testing differences between monitoring records when censored data records exist | | 13 | Nonparametric procedures | | 14 | Risk assesment and data management |
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| Recommended Reading: | Statistical procedures for analysis of environmental monitoring data & risk assesment, McBean E.A., Rovers, F.A., Printece Hall PTR, 1998 |
| Planned Learning Activities and Teaching Methods: | Lectures, Practical Sessions, Exercises, Presentation, Self Evaluation, Assignments |
| Assessment Methods: |
| Method | Quantity |
(%) | | Quiz | 2 | 10 | | Homework | 5 | 20 | | Midterm Exam(s) | 1 | 25 | | Final Exam | 1 | 35 | | | | Other: +10 Attendance |
| Language of Instruction: | English |
| Work Placement(s): | N/A |
syllabus
