Information Package

Program of Psychology (English)

PSY111

BASIC MATHEMATICS

Course Code
PSY111
Semester
First Term (Fall)
Theory+Practice
3 + 0
ECTS
6
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study1
SemesterFirst Term (Fall)
ECTS6
Name of Lecturer(s)
Learning Outcomes

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
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis 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
WEEK TOPICS
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
Recommended 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 Methods
  • Lecture
  • Questions/Answers
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 14 6 84
Preparation for Final exam 1 30 30
Course hours 15 3 45
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 1 1
Homework
Total Work Load181
Total Work Load / 30 (h)6.03
ECTS Credit of the Course6
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2 X X X X
K3 X X
K4 X X X X
K5
K6
K7
K8
K9
K10
K11 X X
K12
K13