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 equip students with analytical problem-solving skills based on the concepts of functions, limits, continuity, and derivatives. Throughout the course, students will learn to analyze trigonometric, logarithmic, exponential, and hyperbolic functions as well as inverse functions, and to solve problems such as maxima-minima, Taylor's theorem, indeterminate forms, and curve sketching using derivative and differential applications. The course aims to equip students with mathematical modeling and problem-solving skills.
Course Content The course begins with sets, absolute value, inequalities, and an introduction to analytic geometry. Then, the concept of functions and special functions (power, polynomial, trigonometric, inverse trigonometric, exponential, logarithmic, and hyperbolic functions) are addressed. Subsequently, limits and continuity, the Intermediate Value Theorem, and the maximum-minimum properties of functions are covered. A large portion of the course focuses on derivatives and derivative techniques, parametric and closed functions, the geometric meaning of the derivative, Rolle's and Mean Value Theorems, and maximum-minimum problems. Additionally, topics such as Taylor's Theorem, indeterminate forms (L'Hospital's Rule), differentials, polar coordinates, asymptotes, and curve sketching are covered. At the end of the course, students will develop their general problem-solving skills by using all these concepts.
Learning Outcomes
# Öğrenme Kazanımı
1 It defines and analyzes the concepts of function, limit, and continuity.
2 Applies and interprets the properties of trigonometric, inverse trigonometric, exponential, logarithmic, and hyperbolic functions.
3 He solves problems and conducts maximum-minimum analyzes using the concepts of derivatives and differentials.
4 Calculates and interprets the derivatives of parametric and closed functions.
5 He solves and analyzes indeterminate forms using Taylor's Theorem and L'Hôpital's Rule.
6 Curve sketching creates the graphs of functions using asymptotes and polar coordinates.
7 By performing mathematical modeling, he/she applies analytical problem-solving skills and interprets the results.
8 By comparing different types of functions and problems, he/she selects and applies the appropriate solution method.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Sets, Absolute Value and Properties, Inequalities, Analytical Analysis of Directness and Circle Research, Other Activities, Interview, Practice
2. Week Function Concept, Some Special Functions (Force, Polynomial, Absolute Value Function), Trigonometric and Inverse Trigonometric Functions, Exponential, Logarithmic and Hyperbolic Functions Research, Other Activities, Interview, Practice
3. Week Limit Concept, Right and Left Side Limits, Indeterminate Shapes, Limits of Trigonometric Functions Research, Other Activities, Interview, Practice
4. Week Continuity in Functions, Properties of Continuous Functions (interpolate Theorem, Absolute Max, Min, Local Max, Min Definitions) Research, Other Activities, Interview, Practice
5. Week Concept of derivative, rules of taking derivative Research, Other Activities, Interview, Practice
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 Research, Other Activities, Interview, Practice
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 Research, Other Activities, 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) Research, Other Activities, Interview, Practice
12. Week Indeterminate Shapes (L 'Hospital Rule) Continued, Differential Concept Research, Other Activities, Interview, Practice
13. Week Polar Coordinates, Asymptotes Research, Other Activities, Interview, Practice
14. Week Curve drawings Research, Other Activities, Interview, Practice
15. Week General problem solutions Research, Other Activities, 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 DK2 DK3 DK4 DK5 DK6 DK7 DK8
PY1 5 5 5 5 5 5 5 5
PY2 4 4 4 4 4 4 4 4
PY3 5 5 5 5 5 5 5 5
PY4 4 4 4 4 4 4 4 4
PY5 3 3 3 3 3 3 3 3
PY6 3 3 3 3 3 3 3 3
PY7 4 4 4 4 4 4 4 4
PY8 4 4 4 4 4 4 4 4
PY9 4 4 4 4 4 4 4 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 1.5 1.5
Homework 4 2 8
Homework Preparation 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