Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Vocational Mathematics YBS155 Turkish Compulsory 1. Semester 3 + 0 3.0 6.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery face to face
Course Coordinator Prof. Dr. Hakan Murat ARSLAN
Instructor(s) Prof. Dr. Hakan Murat ARSLAN (Güz)
Goals To be able to think, discuss and evaluate mathematically in the field of informatics
Course Content Theoretical Foundations of Informatics and Introduction to Informatics Mathematics Logic and Informatics Applications Base Arithmetic and Applications Matrices and Applications Determinants and Applications Logarithm Definition and properties Logarithmic Applications in the World of Informatics Array Definition and Types of Arrays Serial Operations in Informatics Series Definition and Series Types Permutations and Applications Combination and Applications Probability Theory Probability Operations and Software Applications
Learning Outcomes
# Öğrenme Kazanımı
1 Modeling problems encountered in business or daily life
2 To be able to design algorithmically the solutions of informatics problems
3 Ability to analyze and evaluate problems with multidisciplinary thinking
4 To determine the most suitable model for the solution of informatics problems and to identify the sub-components of the related problem.
5 To provide the analysis of large data groups with mathematical methods
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Classification of Numbers and Ratioanal Numbers
2. Week Exponantial Numbers
3. Week Radical Numbers
4. Week Absolute value and Aplications
5. Week First degree inequalities
6. Week Factoring
7. Week First Order Equations and Solution Methods
8. Week Quadratic Equations and Solution Methods
9. Week Theory of Sets
10. Week Function Definition and Types
11. Week Combined Function
12. Week Aplications of Functions
13. Week Matrices
14. Week Determinants
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Graduates will have a holistic perspective on business functions
2 Graduates will have conceptual knowledge in the field of informatics in the sector average.
4 Graduates will have awareness and knowledge about the processes of analyzing, designing, developing, and using information systems.
5 Students will have the ability to define the problem, collect data, analyze, interpret, evaluate, and develop a solution proposal for the solution of problems encountered in business.
6 Graduates may develop new strategic approaches for the efficiency of applications used in businesses.
7 Graduates may understand the logic of the algorithm and convert the designed algorithm into an up-to-date programming language.
8 Gradutes may have basic knowledge and understanding in the field of data science.
9 Graduates may have basic knowledge and understanding in the field of data science.
10 Graduates may base their vision on continuous learning and renewal.
11 Graduates may have an awareness of ethical and professional responsibility in business life.
12 Graduates may have an awareness of the individual and social effects of informatics applications and their legal consequences. gets the awareness of social responsibility.
13 Graduates may be able to use at least one foreign language in written and oral communication in the fields of information systems and business administration.
14 Graduates may take responsibility as an individual or team member in solving problems encountered in business life.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 4 4 4 4 4
PY2 3 3 3 3 3
PY4 4 4 4 4 4
PY5 4 4 3 3 3
PY6 3 3 3 3 3
PY7 4 4 4 4 4
PY8 4 3 4 3 4
PY9 2 2 2 2 2
PY10 2 2 3 3 2
PY11 2 2 2 2 1
PY12 2 2 3 3 3
PY13 2 2 2 1 1
PY14 3 4 4 3 4
Recommended Sources
Ders Kitabı veya Notu
Diğer Kaynaklar
  • Çölkesen, R.(2015) Bilişim Matematiği - Uygulamalı Ayrık Matematik, Papatya Yay.
  • Eroğlu, E.(2014). MATEMATİK, Dora yayıncılık, İstanbul
  • Kobu, B. (2013). İşletme matematiği, İstanbul: Beta Basım A.Ş
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Prof. Dr. Hakan Murat ARSLAN N.Ö.-A Grubu Vize 40.00
Prof. Dr. Hakan Murat ARSLAN N.Ö.-A Grubu Final 60.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Research 1 21 21
Other Activities 14 2 28
Sınavlar
Midterm 1 1 1 1
Homework 1 1 30 30
Homework 2 1 30 30
Final 1 1 1
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0