COURSE UNIT TITLE

: ENVIRONMENTAL DATA MANAGEMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ENV 5020 ENVIRONMENTAL DATA MANAGEMENT ELECTIVE 4 0 0 9

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HÜLYA BOYACIOĞLU

Offered to

ENVIRONMENTAL SCIENCE
ENVIRONMENTAL TECHNOLOGY (ENGLISH)
ENVIRONMENTAL TECHNOLOGY
ENVIRONMENTAL ENGINEERING (ENGLISH)
Environmental Engineering (English)
ENVIRONMENTAL SCIENCES (ENGLISH)

Course Objective

The aim is to provide the fundamental principles of environmental data management. In this context, tools for data collection, sampling design, and data evaluation are introduced. Additionally, descriptive and multivariate statistical methods, as well as the evaluation of environmental data supported by machine learning, are explained.

Learning Outcomes of the Course Unit

1   To have knowledge about the concepts of data collection and evaluation methods.
2   Design of environmental monitoring networks
3   Data assessment using statistical tools

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Environmental monitoring and data requirement
3 Monitoring network design
4 Sampling methods
5 Data types and assessment methods
6 Descriptive statistics
7 Graphical representations and frequency analysis
8 Probability distributions
9 Estimation methods and hypothesis testing
10 Variance analysis & Regression analysis
11 Multivariate statistical methods
12 Multivariate statistical methods
13 Machine learning methods in environmental engineering
14 Machine learning methods in environmental engineering

Recomended or Required Reading

ENVIRONMENTAL DATA MANAGEMENT(1998) - N.Harmancioglu, V.P.Singh, M.N.Alpaslan - Kluwer Academic Publishers, ISBN 0-7923-4857-5

Planned Learning Activities and Teaching Methods

Lecture method
Group work and cooperative learning

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 RPT REPORT
2 PRS PRESENTATION
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE RPT * 0.25 + PRS * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE RPT * 0.25 + PRS * 0.25 + FIN * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

Students who do not submit their assignments will not be allowed to take the final exam

Contact Details for the Lecturer(s)

Prof. Dr. Hülya Boyacıoğlu
hulya .boyacioglu@deu.edu.tr

Office Hours

will be annonced during the semester

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparing presentations 1 30 30
Preparing assignments 1 30 30
Preparation for final exam 1 45 45
Preparations before/after weekly lectures 14 4 56
Final 1 4 4
TOTAL WORKLOAD (hours) 221

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.11111
LO.211
LO.31111