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Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Islamic Economics and Finance
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
99700008 Business Mathematics II 1 Spring 2 3+0+0 5 5
Course Type Compulsory
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Assoc. Prof. Nihat AKGÜNEŞ
Instructor Assistant(s) -
Course Content
The Business Mathematics II course covers topics such as linear programming, optimization techniques, matrix algebra, applications of derivatives and integrals, difference equations, and financial mathematics. Students will be guided through practical examples on how these mathematical tools can be applied to business problems. Additionally, the course will provide students with an understanding of the mathematical foundations behind business decisions.
Objectives of the Course
The aim of this course is to teach students advanced mathematical tools and methods for solving mathematical problems encountered in business management. Students will develop skills in optimization, linear programming, differential equations, integral calculus, and financial mathematics. The course aims to enhance students' analytical thinking and problem-solving abilities when making business decisions.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P3 İslam İktisadı ve Finans alanıyla ilgili farklı bilgi kaynaklarına erişip sayısal analiz ve araştırma yapabilme 1
P4 Disiplin içi, çok disiplinli veya çok kültürlü gruplarda ve bireysel çalışabilme 3
P5 Ahlaki değerler ve mesleki sorumluluk bilinci ile hareket edebilme 4
P6 Alan uygulamalarının, evrensel ve toplumsal etkileri ile hukuki sonuçlarını bilme 3
P7 Öğrenim dilinde yazılı ve sözlü iletişim kurabilme, en az bir yabancı dil bilgisine sahip olabilme 3
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Critically evaluates the results of numerical analyses. P.3.5 1
O2 Continuously updates professional knowledge and skills. P.5.5 1
O3 Communicates effectively in academic and professional settings. P.7.5 1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 curve drawings
2 Multivariable functions and partial derivatives
3 Derivative applications in multivariable functions and Chain Rule
4 Applications multivariate functions of economic.
5 Indefinite integrals and integration rules
6 Definite integrals and area calculations
7 Applications of integrals in economics and business
8 Series and Economic Applications of Series
9 Matrices and vectors, simple matrix operations
10 Applications of matrices to the field of economics and business
11 Determinant and determinant calculation
12 Systems of linear equations and Cramer's rule
13 Representation and solution of business problems with systems of linear equations
14 Linear Programming
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 2 28
Midterms 1 35 35
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 45 45
Other 0 0 0
Total Work Load: 150
Total Work Load / 30 5
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P3 P5 P7
O1 Critically evaluates the results of numerical analyses. 4 3 3
O2 Continuously updates professional knowledge and skills. 4 5 2
O3 Communicates effectively in academic and professional settings. 4 5 5