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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ÇEV 4011 DATA MANAGEMENT ELECTIVE 2 0 0 2

Offered By

Environmental Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR AYŞEGÜL PALA

Offered to

Environmental Engineering Environmental Engineering (Evening)

Course Objective

Needed to make statistical studies in the field of environmental engineering methods will be studied.

Learning Outcomes of the Course Unit

1   Hypothesis testing. 2   General statistical tests. 3   Experimental design techniques. 4   Data collection. 5   Data plotting and evaluation.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Types of Dispersion. Sampling Dispersion, Central Limit Theorem, Normal Dispersion. 2 Types of Dispersion. Stutent-t Dispersion, F Dispersion, Ki-square Dispersion. 3 Statistical Estimation. Statistical Estimation. 4 Populations. Confidence Interval of the Population Avarages, Population Dispersion, Normal and Standard Deviation. 5 Confidence Bounds. Large Samples Confidence Bounds, Small Samples .Confidence Bounds. 6 Samples for Confidence Bounds. Samples for Confidence Bounds. 7 Hypothesis Testing. Hypothesis Testing. 8 Variance Analysis. Variance Analysis. 9 Factorial experimental designs. One Way Factorial Experimental Designs, Two Way Factorial Experimental Designs. 10 Exam. Midterm Exam. 11 Fraction Experiments. Fraction Experiments Design. 12 Fraction Experiments. Experimental Design and Analysis of Variance. 13 2 k Factorial Experiments. 2 k Factorial Experiments Analysis of Variance. 14 SPSS Statistical Program. Factorial analysis of variance with SPSS Statistical Package Program.

Recomended or Required Reading

Lecture notes printed and delivered to the student. In addition, students benefit from all other available statistical books.

Planned Learning Activities and Teaching Methods

Homework control. Applications to improve for learning of the course.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE*0.35+ASG *0.15+FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE*0.35+ASG *0.15+RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

The student must take passed grades.

Assessment Criteria

On time delivery of assignments, taking passed grades to pass exams.

Language of Instruction

Turkish

Course Policies and Rules

On time delivery of assignments, taking passed grades to pass exams.

Contact Details for the Lecturer(s)

E-mail aysegul.pala@deu.edu.tr Tel: 232 301 7096

Office Hours

Every Wednesday 15:30 - 16:0

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 2 26 Preparation for midterm exam 1 2 2 Preparation for final exam 1 2 2 Preparing assignments 1 6 6 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 40

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 PO.13 PO.14 PO.15 PO.16 PO.17 PO.18 PO.19 PO.20 LO.1 4 5 3 LO.2 4 5 3 LO.3 4 5 3 LO.4 4 5 3 LO.5 4 5 3