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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

ASSOCIATE PROFESSOR SERKAN EKER

Offered to

ENVIRONMENTAL SCIENCE Environmental Engineering ENVIRONMENTAL TECHNOLOGY ENVIRONMENTAL ENGINEERING ENVIRONMENTAL SCIENCES ENVIRONMENTAL TECHNOLOGY

Course Objective

The course aims to provide the fundamentals of environmental data management techniques. In this perspective tools to extract information from the raw data are presented. Mean while basic concepts of the environmental management in general, water quality management in particular are introduced.

Learning Outcomes of the Course Unit

1   The concept of water quality and environmental management. 2   Design of water quality monitoring networks 3   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 3 Data Collection 4 Design of Water Quality Monitoring Networks 5 Introduction to Data Processing 6 Statistical Quantities 7 Graphical Representations 8 Probability Distributions 9 Methods for Single Population and Comparing Two Populations 10 Test for Distributional Assumptions (Verify the assumptions of the statistical method) and Test for Trends 11 Presentations 12 Presentations 13 Presentations 14 Closing Remarks

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

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 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

necdet.alpaslan@deu.edu.tr 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/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 LO.1 1 1 1 1 1 LO.2 1 1 LO.3 1 1 1 1