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-MTS2Culture and MathematicsElective474
Level of Course Unit
First Cycle
Objectives of the Course
Recognizing the relationship between mathematics and culture and using this awareness in mathematics teaching
Name of Lecturer(s)
Doç. Drı. Dilşad Güven Akdeniz
Learning Outcomes
11. knows the applications of mathematics in daily life (physics, chemistry, biology, economics, health) 2 can comprehend the importance of using real life problems in mathematics teaching 3 can solve real life problems with numbers 4 can solve real life problems with numbers 5 real life problems related to functions can solve 6 solve real-life problems related to probability and statistics 7 can mathematically model real-life situations
Mode of Delivery
Normal Education
Prerequisites and co-requisities
No
Recommended Optional Programme Components
No
Course Contents
Relationship between mathematics and culture; define mathematical concepts in their cultural context, mathematical thought structures of different cultures, researches in the field of ethnomathematics basic principles, the relationship between mathematics-anthropology-linguistics; the importance of incorporating ethnomathematics into classroom practice; classroom mathematics for different cultural contexts designing events
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to the organization of the course, the relationship between mathematics and culture from the past to the present.
2Is mathematics universal? Is it cultural?
3What is ethnomathematics?
4Is ethnomathematics for everyone? Is it for immigrant students?
5Is it suitable for the ethnomathematics curriculum?
6 Examples of daily life related to absolute value and logarithm
7 Polynomial functions and applications in daily life.
8 midterm
9 Linear functions and linear modeling, applications in daily life
10 Exponential functions and exponential functions, applications between daily life, linear and exponential modeling.
11 Mathematics in educational games
12 Mathematics in educational games
13 Student presentations
14 Student presentations
15 Final exam
Recommended or Required Reading
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)
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination14228
Attending Lectures14114
Problem Solving8216
Self Study14228
Individual Study for Homework Problems13226
Individual Study for Mid term Examination166
TOTAL WORKLOAD (hours)120
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
LO1          
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High