Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Mathematics I MAT111 Turkish Compulsory 1. Semester 5 + 1 6.0 6.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecturing
Course Coordinator Prof. Dr. Emrah Evren KARA
Instructor(s) Prof. Dr. Emrah Evren KARA (Güz)
Goals The aim of this course is to understand the basic logic of mathematics, to put the thought system into an analytical form and to apply analytical thinking and basic mathematical logic in the encountered problems.
Course Content To be able to classify numbers, to know the concepts of inequality and absolute value. To be able to comprehend analytical plane and coordinate system. To be able to understand polynomials and identities. To be able to define the function and to say its types and properties. To understand trigonometry and trigonometric functions. To draw graphs of trigonometric functions
Learning Outcomes
# Öğrenme Kazanımı
1 1) Describe the concepts of cluster and number. 2) Recognize the function and some special functions. 3) It means that you can get a limit at one point in the functions. 4) Uses the properties of continuous functions. 5) Explains the concept of derivative. 6) Compare the physical and geometric meanings of the derivative. 7) Interpretation of derivative theorems. 8) Limit calculations in indefinite expressions. 9) Explain curve drawings
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Sets, Absolute Value and Properties, Inequalities, Analytical Analysis of Directness and Circle Interview, Practice
2. Week Function Concept, Some Special Functions (Force, Polynomial, Absolute Value Function), Trigonometric and Inverse Trigonometric Functions, Exponential, Logarithmic and Hyperbolic Functions Practice, Interview
3. Week Limit Concept, Right and Left Side Limits, Indeterminate Shapes, Limits of Trigonometric Functions Practice, Interview
4. Week Continuity in Functions, Properties of Continuous Functions (interpolate Theorem, Absolute Max, Min, Local Max, Min Definitions) Interview, Practice
5. Week Concept of derivative, rules of taking derivative Presentation (Preparation), Interview
6. Week Higher Order Derivative, Inverse Function Derivative, Trigonometric Functions derivative Interview, Practice
7. Week Derivatives of Inverse Trigonometric Functions, Derivative of Logarithm Function, Derivative of Hyperbolic and Inverse Hyperbolic Functions Practice, Interview
8. Week Parametric Equations Derivatives of Functions Given, Derivative of Closed Functions Interview
9. Week Parametric Equations Derivatives of Functions Given, Derivative of Closed Functions Interview, Practice
10. Week Geometric Meaning of Derivative, Rolle Theorem, The Mean Value Theorem, Increasing and Decreasing Functions, Concave and Convex Functions, Interview
11. Week Maximum and Minimum Concepts, Maximum and Minimum Problems, Taylor Theorem, Indeterminate Shapes (L 'Hospital Rule) Interview, Practice
12. Week Indeterminate Shapes (L 'Hospital Rule) Continued, Differential Concept Interview, Practice
13. Week Polar Coordinates, Asymptotes Practice, Interview
14. Week Curve drawings Interview, Practice
*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 To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems
2 Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process
3 Knowledge of at least one foreign language at a level that will enable communication with colleagues in the field and follow current developments; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
4 To be individuals who are sensitive to universal and social values, have knowledge of professional and ethical responsibilities and standards used in engineering practices.
5 The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.
6 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
7 Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.
8 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
9 Knowledge of the universal and societal impacts of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions, the necessity of lifelong learning and the ability to continuously renew oneself.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 5
PY2 4
PY3 5
PY4 4
PY5 3
PY6 3
PY7 4
PY8 3
PY9 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Balcı, Mustafa; General Mathematics, Balcı Publications
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Prof. Dr. Emrah Evren KARA Vize 40.00
Prof. Dr. Emrah Evren KARA 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 6 84
Ders Dışı
Research 4 2 8
Practice 10 1 10
Sınavlar
Midterm 1 1 1.5 1.5
Homework 1 4 2 8
Homework 2 4 2 8
Final 1 1.5 1.5
Practice 14 1 14
Practice End-Of-Term 6 2 12
Classroom Activities 6 1 6
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0