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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Economics and Administrative Sciences
  2. Department of Business Administration
  3. Course Structure Diagram with Credits
  4. Mathematics II
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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Last Updated: 02/03/2026

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
MAT162 - Mathematics II II. SEMESTER 3 +0 5.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) PROF. DR. BAHAR BERBEROĞLU, PROF. DR. NESRİN ALPTEKİN, PROF. DR. NAMIK KEMAL ERDOĞAN, DR. ÖĞR. ÜYESİ BİLAL SARAÇ
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Indefinite integral; Fundamental integral formulations and laws, Applications of undefinite integral
Week - 2 Definite integral, properties of definite integral, Areas of plane figures
Week - 3 Area between two curves, mean value of continuous functions
Week - 4 Applications of definite integral, excess supply, excess demand, Lorenz curve
Week - 5 Integral Techniques, variable transformation, partial integration, decomposition method of simply fractions
Week - 6 Approximate integration, Improper integrals
Week - 7 Basic matrix notion, special matrices, matrix operations
Week - 8 Determinant of a square matrix,
Week - 9 Mıdterm week
Week - 10 Mıdterm week
Week - 11 Properties of determinant, inverse of a square matrix
Week - 12 Linear equations systems, solving methods of linear equation systems
Week - 13 Input-Output Analysis, Constructing and solving of model
Week - 14 Linear programming, Graphical Solving of Linear programming problems

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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