BAYBURT University Information Package / Course Catalogue

Home Information on the Institution Information on Degree Programmes General Information for Students
Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
AE-MT304BCompulsory364
Level of Course Unit
First Cycle
Objectives of the Course
This course aims to provide undergraduate students with knowledge and skills in probability and statistics at the K-12 level.
Name of Lecturer(s)
Doç. Dr. Mesut ÖZTÜRK
Learning Outcomes
1Know probability and statistics in K-12 education
2Know the nature and historical development of probability and statistics.
3To know probabilistic thinking and statistical thinking and to be able to think.
4They should know how to learn probability and statistics in K-12 education and have information about misconceptions.
5Students can use technology to teach probability and statistics
Mode of Delivery
Normal Education
Prerequisites and co-requisities
-
Recommended Optional Programme Components
Course Contents
This course aims to provide students with the concepts of probability and statistics that they will use in school mathematics in the context of teaching knowledge. In this regard, the course emphasizes the nature, historical development, and teaching of probability and statistics.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Description of the purpose, content, and operation of the course
2Students know the nature of probability and the nature of statistics. They prepare activities for teaching probability and statistics.
3Students know the historical development of Probability and Statistics.
4 VUstat software
5Statistical literacy
6Students know the topics of probability and statistics in K-12 Education. They become aware of the curriculum.
7Students know Gaise Reports and examine LGS questions in the light of Gaise reports.
8midterm
9Students know probabilistic thinking and statistical thinking.
10Student Center knows disposition measures and instruction. They know the misconceptions about measures of central tendency. Students learn how to formulate research questions and collect data. They prepare activities for 4th-grade achievements.
11Students know how to teach tables and graphs. They identify misconceptions about tables and graphs. They prepare activities for 5th-grade achievements.
12The student center knows distribution/dispersion measurements and teaching. They identify misconceptions regarding central distribution/diffusion measures. They know how to formulate research questions and collect data. They prepare activities for 6th-grade achievements.
13Students know the basic concepts and teaching of Probability. They identify misconceptions about Probability. They prepare activities for 7th-grade achievements.
14Students know the basic concepts and teaching of Probability. They identify misconceptions about Probability. They prepare activities for 8th-grade achievements.
15Students know permutation and combination learning. They identify misconceptions regarding permutation and combination. They prepare activities for 9.-10—grade achievements.
16Final exam
Recommended or Required Reading
Güven, B., Özmen, Z. M., Gürbüz, R. & Akkan, Y. (2009). Teoriden pratiğe olasılık ve istatistik öğretimi. Vizetek Yayıncılık. Baltacı, S. & Bütüner, S. Ö. (2023). Etkinlik temelli olasılık ve istatistik öğretimi. Nobel Akademik Yayıncılık
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Work Placement(s)
No
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Makeup Examination111
Attending Lectures12424
Discussion12020
Question-Answer12424
Team/Group Work144
Case Study155
Self Study11010
Individual Study for Mid term Examination11010
Individual Study for Final Examination12020
TOTAL WORKLOAD (hours)121
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
LO14222111222
LO22251113111
LO32213312211
LO44411211123
LO53313111151
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High