COURSE UNIT TITLE

: BASIC STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FSH 0042 BASIC STATISTICS ELECTIVE 2 0 0 2

Offered By

Faculty Of Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZGÜL VUPA ÇILENGIROĞLU

Offered to

Chemistry
Biology
Computer Science
Statistics
Physics
Mathematics

Course Objective

The aim of this course is to enable students to learn basic concepts of statistics and to define and apply data sets using graphical and numerical methods. In addition, it is aimed that students learn sampling distributions by using simple probability concepts and be able to access confidence interval and hypothesis tests.

Learning Outcomes of the Course Unit

1   Describing fundamental elements of statistics
2   Describing types of data
3   Calculating the measures which are used for describing data
4   Probability and sampling distributions
5   Applying the central limit theorem
6   Constructing confidence interval for various parameters
7   Testing statistical hypothesis for various parameters

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The Science of Statistics, Fundemantal Elements of Statistics
2 Types of Data, Collecting Data
3 Graphical Methods for Describing Qualitative and Quantitative Data
4 Numerical Measures Central Tendency
5 Numerical Measures for Variability
6 The Concept of Probability
7 Sampling Distributions
8 The Central Limit Theorem
9 Confidence Interval for a Population Mean (z and t statistics)
10 Confidence Intervals for a Population Proportion and Variance (Chi-square)
11 The Elements of a Test of Hypothesis
12 Test of Hypothesis About a Population Mean (t and z)
13 Test of Hypothesis About a Population Proportion and Variance
14 Paired t test

Recomended or Required Reading

J.T. McClave and T. Sincich, Statistics, 12th Edition, Prentice-Hall, 2011.

Planned Learning Activities and Teaching Methods

Lecture , homework and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Exams and homeworks

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 2 2
Preparation for final exam 1 2 2
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 50

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.17
LO.12
LO.22
LO.32
LO.42
LO.52
LO.62
LO.72

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 2015 DEÜ. BİD

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