Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Mathematics I MAT101 Turkish Compulsory 1. Semester 3 + 0 3.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to Face
Course Coordinator Doç. Dr. Tuba TUNÇ
Instructor(s) Prof. Dr. Merve İLKHAN KARA (Güz)
Goals The purpose of this course is to teach the basic mathematical techniques to analyze problems, math skills required to be able to introduce. A large number of sample problems with mathematics, the availability of practical emphasis.
Course Content Improve the student's ability to think abstractly and learn topics in mathematics.
Learning Outcomes
# Öğrenme Kazanımı
1 The cluster concept and recognize the set of real numbers.
2 Functions defined on the set of real numbers with basic features to examine.
3 Limits of functions, continuity and derivatives learn the concepts.
4 To solve the derivative
5 To draw the graph of a given function
6 Differential learn the concept.
7 To calculate the approximate value of the differential with the concept.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Numbers, Cluster Concept, Real Numbers, Intervals Interview, Presentation (Preparation)
1. Week Absolute Value, Exponential and Numbers, logarithms Interview, Presentation (Preparation)
3. Week Algebraic functions, polynomial functions, rational functions, exponential functions, logarithmic functions. Interview, Presentation (Preparation)
4. Week Limits and Continuity, a Variable Limit, Limit of a Function Interview, Presentation (Preparation)
5. Week Limit Concerning Applications, Concept of Continuity of Functions Interview, Presentation (Preparation)
6. Week Sequences and Series Interview, Presentation (Preparation)
7. Week Introduction to Derivatives, Derivatives Left, Right Derivatives, Derivatives Rules Interview, Presentation (Preparation)
8. Week Introduction to Derivatives, Derivatives Left, Right Derivatives, Derivatives Rules Interview, Presentation (Preparation)
9. Week Derivatives of Inverse Functions, Composition of Functions Derivatives, Derivatives of Parametric Functions Interview, Presentation (Preparation)
10. Week Implicit Differentiation, Successive Derivatives, trigonometric, Derivatives of Functions. Interview, Presentation (Preparation)
11. Week Derivatives of inverse trigonometric functions, logarithmic and exponential functions Interview, Presentation (Preparation)
12. Week Ascending Descending Functions, Extreme Points, convexity, concavity And Graphics Drawing Interview, Presentation (Preparation)
13. Week Extreme Problems, Mean Value Theorem Interview, Presentation (Preparation)
14. Week Aid Derivative of a Function Plots, Curve Asymptote Containing Drawings Interview, Presentation (Preparation)
*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 .Applies knowledge of natural sciences and mathematics to the development of various processes within the field.
2 Acts in accordance with ethical and deontological principles in decision-making and implementation processes.
3 Utilizes scientific and technological developments in field-related applications.
4 Solves engineering problems within the field through an analytical approach by integrating fundamental engineering knowledge with technical tools.
5 Designs all technical systems, system components, and production processes related to the field.
6 Implements crop and livestock production processes in accordance with scientific and technical principles.
7 Utilizes data-driven core technologies within the agricultural sector in production processes.
8 Applies sustainability principles and approaches to agricultural processes.
9 Utilizes managerial and institutional knowledge for agriculture, taking into account global and local developments.
10 Integrates fundamental scientific knowledge in the fields of genetics, molecular biology, microbiology, and biochemistry into agricultural biotechnology processes through a critical approach.
11 Produces innovative and sustainable biotechnological solutions to agricultural problems by effectively utilizing laboratory and field applications.
12 Effectively utilizes statistical, mathematical, and bioinformatic tools to analyze biological data.
13 Fulfills professional and social responsibilities by mastering the ethical, legal, intellectual property, and biosafety dimensions of biotechnological applications.
14 Effectively shares project findings obtained by working efficiently in interdisciplinary projects using effective presentation techniques.
15 Demonstrates lifelong learning and entrepreneurship skills by generating innovative ideas and continuously following scientific and technological developments in the field.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 5 5 5 5 5 5 5
PY2 1 1 1 1 1 1 1
PY3 3 3 3 3 3 3 3
PY4 3 3 3 3 3 3 3
PY5 2 2 2 2 2 2 2
PY6 2 2 2 2 2 2 2
PY7 2 2 2 2 2 2 2
PY8 1 1 1 1 1 1 1
PY9 2 2 2 2 2 2 2
PY10 2 2 2 2 2 2 2
PY11 3 3 3 3 3 3 3
PY12 2 2 2 2 2 2 2
PY13 2 2 2 2 2 2 2
PY14 3 3 3 3 3 3 3
PY15 2 2 2 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • George B Thomas, Ross L.Finney “Calculus ve Analitik Geometri”, Addison Wesley Tenth Edition, New York, Türkçe, (çeviren: Recep Korkmaz)
  • Sherman K. Stein ve Anthony Barcellos Calculus ve Analitik Geometri, Cilt 1 ve 2. Türkçesi: Beno Kuryel ve Firuz Balkan. Literatür Yayıncılık San. Tic. Ltd. Şti.
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Prof. Dr. Merve İLKHAN KARA Vize 40.00
Prof. Dr. Merve İLKHAN KARA Final 60.00
Toplam 100.00
Prof. Dr. Merve İLKHAN KARA (Eski Öğrenciler) Vize 40.00
Prof. Dr. Merve İLKHAN KARA (Eski Öğrenciler) 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 14 2 28
Other Activities 3 1.5 4.5
Sınavlar
Midterm 1 1 1 1
Final 1 1 1
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0