Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Mathematics MAT103 Turkish Compulsory 1. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Doç. Dr. Tuba TUNÇ
Instructor(s) Doç. 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
2. Week Absolute Value, Exponential and Numbers, logarithms
3. Week Algebraic functions, polynomial functions, rational functions, exponential functions, logarithmic functions.
4. Week Limits and Continuity, a Variable Limit, Limit of a Function
5. Week Limit Concerning Applications, Concept of Continuity of Functions
6. Week Sequences and Series
7. Week Introduction to Derivatives, Derivatives Left, Right Derivatives, Derivatives Rules
8. Week Midterm Exam
9. Week Derivatives of Inverse Functions, Composition of Functions Derivatives, Derivatives of Parametric Functions
10. Week Implicit Differentiation, Successive Derivatives, trigonometric, Derivatives of Functions.
11. Week Derivatives of inverse trigonometric functions, logarithmic and exponential functions
12. Week Ascending Descending Functions, Extreme Points, convexity, concavity And Graphics Drawing
13. Week Extreme Problems, Mean Value Theorem
14. Week Aid Derivative of a Function Plots, Curve Asymptote Containing Drawings
*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 Skill of apply basic science and engineering knowledge and principles to Agricultural Engineering problems
2 Ability of recognize pathogens, pests, weeds and beneficial organisms frequently seen agricultural fields at microscopic and macroscopic level and able to determine level of damage/benefit together with widespread cases.
3 Having knowledge about the techniques in agricultural production process, identify the basic problems related to the process and the ability to use modern computational tools and techniques in solution of these problems
4 Skill of execute taking into account technical and scientific information defined by current proposals for solving the problems of crop protection, sustainable agriculture, the environment and human health and food safety
5 Disciplinary and interdisciplinary teamwork ability, to act independently required, have the initiative and creativity skills, ability of communicate acts express of ideas as verbally and written, clear and concise.
6 Skill of follow the current national and international problem
7 Recognize of importance of lifelong learning
8 Self-development skill following the developments in science and technology
9 Ability of awareness of professional ethics and quality systems in agriculture
10 Business ethics and responsibility
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 3 3 3 3 3 3 3
PY2 3 3 3 3 3 3 3
PY3 3 3 3 3 3 3 3
PY4 4 4 4 4 4 4 4
PY5 3 3 3 3 3 3 3
PY6 4 4 4 4 4 4 4
PY7 4 4 4 4 4 4 4
PY8 4 4 4 4 4 4 4
PY9 3 3 3 3 3 3 3
PY10 3 3 3 3 3 3 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 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.
  • George B Thomas, Ross L.Finney “Calculus ve Analitik Geometri”, Addison Wesley Tenth Edition, New York, Türkçe, (çeviren: Recep Korkmaz)
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Sınavlar
Midterm 1 1 13 13
Homework 1 10 2 20
Final 1 27 27
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0