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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ÇEV 3620 INTRODUCTION TO STATISTICS COMPULSORY 3 0 0 3

Offered By

Environmental Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR HÜLYA BOYACIOĞLU

Offered to

Environmental Engineering

Course Objective

Gaining knowledge on statistics and probability

Learning Outcomes of the Course Unit

1   Explanation basics of probability and statistics 2   Interpretation descriptive statiscs and probability methods 3   Utilization of descriprive statistics methods and probability functions 4   Interpretation of statistical analysis results 5   Application of the methods used in environmental problems, draw conclusions from sets of data about population (estimation)

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 Data organisation 3 Frequency distributions (discrete and continuous variables)-1 4 Frequency distributions (discrete and continuous variables)-2 5 Descriptive statistics (Measures of central tendency) 6 Descriptive statistics (Measures of distribution) 7 Mid-term exam-1 8 Probability (Conditional probability, Bayes theorem) 9 Probability distributions (discrete and continuous variables) 10 Expected value and moments 11 Corelation and regression analysis 12 Mid-term exam-2 13 Corelation and regression analysis-2 14 Interval estimation, Hypothesis testing (single data)

Recomended or Required Reading

1. Peck R, Olsen C, Devore J. 2012 Introduction to statistics a& data analysis. Brooks/Cole, USA 2. Bayazit, M. and Oğuz, B. 1998. Probability and Statistics for Engineers, Birsen Yayınevi 3. Berthoeuex, P. and Brown, LC. 2002. Statistics for Environmental Engineers, Lewis Publishers, FL, USA.

Planned Learning Activities and Teaching Methods

Teaching in the class Application of methods in the class Home works

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE1 MIDTERM EXAM 1 2 MTE2 MIDTERM EXAM 2 3 ASG ASSIGNMENT 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTE1*0.175+MTE2 *0.175+ASG *0.15+FIN * 0.50 6 RST RESIT 7 FCG FINAL COURSE GRADE MTE 1*0.175+MTE 2 *0.175+ASG *0.15+RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams (grading) Evaluation of home works

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Ayşeğül Pala aysegul.pala@deu.edu.tr Assoc. Prof. Dr. Hülya Boyacıoğlu hulya.boyacioglu@deu.edu.tr

Office Hours

Will be determined depending on the schedule

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 1,5 18 Preparation for midterm exam 2 7 14 Preparation for final exam 1 8 8 Preparing assignments 2 10 20 Midterm 2 1,5 3 Final 1 1,5 2 TOTAL WORKLOAD (hours) 65

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 LO.2 LO.3 5 5 LO.4 5 LO.5 5 5 5 5