COURSE UNIT TITLE

: DATA PROCESSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FBE 6072 DATA PROCESSING ELECTIVE 1 1 0 5

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SEDAT ÇAPAR

Offered to

Statistics (English)

Course Objective

This course provides an introduction statistics. Lectures will explain the theoretical origins and practical implications of statistical concepts. Topics include: Describing data sets by graphical and numerical measures, random variables, probability distributions and probability density functions, Sampling Distibutions, Estimation with Confidence Intervals, Tests of Hypothesis. This course also provides an introduction to statistical techniques in statistical software. Managing and analyzing data using statistical database package (Minitab).

Learning Outcomes of the Course Unit

1   Describing fundamental elements of Statistics
2   Distinguishing types of data
3   Learning methods for Describing Sets of Data
4   Understanding Probability and Sampling Distributions
5   Estimating with Confidence Interval
6   Able to Tests of Hypothesis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Statistics, Data and Statistical Thinking
2 Fundamental Elements of Statistics
3 Graphical Methods for Describing Sets of Data
4 Numerical Measures for Central Tendency
5 Numerical Measures for Variability
6 Discrete Random Variables and Discrete Probability Distributions
7 Continuous Random Variables and Continuous Probability Distributions
8 Midterm Exam
9 Sampling Distributions
10 Estimation with Confidence Intervals: One Sample
11 Tests of Hypothesis: One Sample
12 Estimation with Confidence Intervals: Two Samples
13 Tests of Hypothesis: Two Samples
14 Analysis of Variance

Recomended or Required Reading

Textbook(s): McClave J.T., Sincich T., Statistics, 11th edition, Prentice Hall,USA, 2008.
Supplementary Book(s):
Ryan,B., Joiner, B.L. & Cryer, J.D., MINITAB Handbook, 5th edition, Brooks/Cole - Thomson Learning Inc, Duxbury, Canada, 2005

Planned Learning Activities and Teaching Methods

Lecture 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 * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams.

Language of Instruction

English

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)

DEU Fen Fakültesi Istatistik Bölümü
e-posta: sedat.capar@deu.edu.tr
Tel: 0232 301 86 01

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 4 56
Preparation for midterm exam 1 20 20
Preparation for final exam 1 20 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 128

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15555
LO.25555
LO.35555
LO.45555
LO.55555
LO.65555

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

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