Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
OME 3004	TEACHING PROBABILITY AND STATISTICS	COMPULSORY	3	0	0	4

Offered By

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR BERNA CANTÜRK GÜNHAN

Offered to

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Course Objective

The aim of this course is to teach prospective teachers about the concepts of probability and statistics.

Learning Outcomes of the Course Unit

1	To be able to learn the concepts of probability and statistics and learn the misconceptions of student concept.
2	To be able to prepare activities on the teaching of concepts related to probability and statistics.
3	To be able to benefit from concrete materials and technology in teaching the concepts related to probability and statistics.
4	To be able to write assessment and evaluation questions necessary for teaching probability and statistics.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Pedagogical knowledge of probability
2	Misconceptions of students about probability
3	Preparing an activity on probability teaching
4	Pedagogical background on data collection, organizing, demonstration and analysis of data
5	Students' misconceptions about data collection, organizing of data, display and analysis
6	Preparing activities on data collection, organizing data, teaching display and analysis
7	Pedagogical knowledge of central tendency measures
8	Course overview, Evaluation and midterm, Examination
9	Misconceptions of students about central tendency measures
10	Preparing an activity on the teaching of central tendency measures
11	Pedagogical field knowledge on distribution measures
12	Misconceptions of students about distribution measures
13	Preparing an activity on teaching disability measures
14	Technology-supported probability and statistics teaching
15	Final Exam

Recomended or Required Reading

Akdeniz, F. (2006). Olasılık ve Istatistik. Ankara: Nobel Yayınevi
Akkoç, H., ve Yeşildere-Imre, S. (2015). Teknolojik Pedagojik Alan Bilgisi Temelli Olasılık ve Istatistik Öğretimi. Pegem Akademi Yayıncılık.
Jones, G.A., Thornton C.A., Langrall, C.W., Mooney, E.S., Perry, B. & Putt, I.J. (2000), A Framework for Characterizing Children s Statistical Thinking. Mathematical Thinking and Learning, 2(4), 269-307.

Planned Learning Activities and Teaching Methods

Lecture, Discussion, Question-Answer.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	VZ	Midterm
2	FN	Semester final exam
3	BNS	BNS	Student examVZ * 0.40 + Student examFN * 0.60
4	BUT	Make-up note
5	BBN	End of make-up grade	Student examVZ * 0.40 + Student examBUT * 0.60

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

Further Notes About Assessment Methods

Midterm and final exams are determined according to the weekly course content within the scope of the learning outcomes of the course.

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
Hasan Ali Yücel Building, 418
12434

Office Hours

Monday 11:00-12:00

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	13	2	26
Preparations before/after weekly lectures	13	3	39
Preparation for midterm exam	1	10	10
Preparation for final exam	1	15	15
Midterm	1	2	2
Final	1	2	2
TOTAL WORKLOAD (hours)			94

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.2	PO.4	PO.7	PO.11	PO.13
LO.1	3	2	3	3	3
LO.2	4	2	3	3	2
LO.3	3	5	3	3	3
LO.4	3	5	3	3	3

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION