COURSE UNIT TITLE

: STATISTICS AND PROBABILITY I

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTÖ 3005 STATISTICS AND PROBABILITY I COMPULSORY 2 2 0 4

Offered By

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR BERNA CANTÜRK GÜNHAN

Offered to

ELEMENTARY MATHEMATICS TEACHER EDUCATION
ELEMENTARY MATHEMATICS TEACHER EDUCATION

Course Objective

Understanding basics of Statistics and probability. Being able to organise data and draw various types of graphs. Understanding and calculating various indicators of central tendency such as mean, mode median. Understanding and calculating skewness, kurtosis and various indicators of measures of dispersion. Comprehension of various distributions and applications.

Learning Outcomes of the Course Unit

1   Will have knowledge of basic terms of Statistics
2   Measures of Central Tendency will be grasped
3   Measures of Dispersion will be understood
4   Skewness and Kurtosis will be understood
5   Will have knowledge of Basic terms of Probability.(e.g. Fundamental Principle of Counting)
6   Will be able to use Conditional Probability and Bayes' Theorem
7   Will be able to use Binomial, Poisson and Hypergeometric Distribution

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic terms of Statistics
2 Organizing Data
3 Measures of Central Tendency
4 Measures of Dispersion
5 Skewness and Kurtosis
6 Exercises
7 Basic terms of Probability
8 Midterm exam
9 Fundamental Principle of Counting, Conditional Probability
10 Bayes Theorem
11 Expected Value
12 Binomial Distribution
13 Poisson Distribution
14 Hypergeometric Distribution
15 Final exam

Recomended or Required Reading

Istatistik: Metodlar ve Uygulamalar. Baykul, Y. Anı Yayıncılık.
Uygulamalı Istatistik-1. Serper, Ö. Ezgi Kitabevi.

Planned Learning Activities and Teaching Methods

lecture, question-answer, computer based

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FINS FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 +FINS * 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

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

berna.gunhan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Theoretical 13 2 26
Application 13 2 26
Pre Class Self Study 12 2 24
Midterm Preparation 1 10 10
Final Preparation 1 15 15
Midterm Exam 1 1 1
Final Exam 1 1 1
TOTAL WORKLOAD (hours) 103

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.113
LO.223
LO.323
LO.43
LO.523
LO.63
LO.723

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

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