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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
BASIC MATHEMATICS PSY111 First Term (Fall) 3 + 0 6

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY1
SEMESTERFirst Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED6
NAME OF LECTURER(S)Instructor Ayhan Aksoy
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Develop mathematical thinking and problem solving skills.
2) Develop a generally positive attitude towards mathematics and related fields.
3) Grasp the logic of basic mathematical operations not only mathematically but also conceptually.
4) Learn concepts frequently used in statistics courses such as counting (combinatorics) and probability and will be able to apply them to different problems.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONThis course is generally related to mathematical thinking and problem solving skills. In addition to concepts such as probability and number systems, topics such as logic, mathematical reasoning, algebra of propositions, algebra of sets, relations and functions constitute the content of the course in Basic Mathematics.
COURSE CONTENTS
WEEKTOPICS
1st Week Course Introduction, What is a Proposition?
2nd Week Algebra of Propositions (Compound Propositions and Conjunctions)
3rd Week Algebra of Propositions (Quantifiers)
4th Week What is a Set? Operations between Sets
5th Week Real (Real) Numbers and their properties
6th Week Equations and Inequalities
7th Week What is a Relation? Various Relations
8th Week Midterm Exam
9th Week What is a Function?
10th Week Some Functions
11th Week Matrices
12th Week Determinants
13th Week Counting (Permutation, Combination)
14th Week Sample Spaces and Events, Probability
15th Week Conditional Probability
RECOMENDED OR REQUIRED READINGB., Berhanu, A. M. Naizghi et al., Mathematics for Social Sciences., (2019)

K., Houstan, How to Think like a Mathematician, Cambridge University Press (2009)
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Total(%)40
Contribution of In-term Studies to Overall Grade(%)40
Contribution of Final Examination to Overall Grade(%)60
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam111
Preparation for Quiz
Individual or group work14684
Preparation for Final exam13030
Course hours15345
Preparation for Midterm exam12020
Laboratory (including preparation)
Final exam111
Homework
Total Workload181
Total Workload / 306,03
ECTS Credits of the Course6
LANGUAGE OF INSTRUCTIONEnglish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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K11  X       X
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K13