COURSE UNIT TITLE

: INTRODUCTION TO STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ÇEV 3020 INTRODUCTION TO STATISTICS COMPULSORY 2 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
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   Utılization 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 to statistics
2 Frequency analysis
3 Frequency analysis (examples)
4 Descriptive statistics (measures of central tendency, measures of association)
5 Descriptive statistics (examples)
6 Probability
7 Mid-term exam-1
8 Probability distributions
9 Probability distributions (examples)
10 Expected value
11 Probability distribution functions (discrete variables)
12 Probability distribution functions (continuous variables)
13 Mid term exam-2
14 Regression and correlation analysis

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 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE 1*0.175+MTE 2 *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

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
Yrd. Doç. 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 2 24
Tutorials 3 2 6
Preparation for final exam 1 5,74 6
Preparation for midterm exam 2 5,08 10
Preparations before/after weekly lectures 12 0,2 2
Preparing assignments 2 5 10
Final 1 2 2
Midterm 2 4 8
TOTAL WORKLOAD (hours) 68

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17PO.18PO.19PO.20
LO.1
LO.2
LO.355
LO.45
LO.55555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2012 DEÜ. BİD

HOME / INFORMATION ON THE INSTITUTION / DEGREE PROGRAMMES / INFORMATION FOR STUDENTS / LLP/ERASMUS