Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Basic Mathematics OEM105 Turkish Compulsory 1. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Öğr. Gör. Canberk BATU
Instructor(s) Öğr. Gör. Canberk BATU (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 Math concepts to learn
2 Problem-solving skills, and give an insight engineer.
3 Acquired knowledge, to relate data to analyze and evaluate.
4 Necessary for engineering practice and technical skills to be able to use
5 Categories related to the problems in the identification, formulation and solution.
6 Understanding of professional and ethical responsibility.
7 Understand the importance of lifelong learning and practice.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Numbers, Cluster Concept, Real Numbers, Intervals Presentation (Preparation), Practice, Preparation, After Class Study
2. Week Absolute Value, Exponential and Numbers, logarithms Presentation (Preparation), Practice, Preparation, After Class Study
3. Week Algebraic functions, polynomial functions, rational functions, exponential functions, logarithmic functions. Presentation (Preparation), Preparation, After Class Study
4. Week Limits and Continuity, a Variable Limit, Limit of a Function Presentation (Preparation), Practice, Preparation, After Class Study
5. Week Limit Concerning Applications, Concept of Continuity of Functions Presentation (Preparation), Practice, Preparation, After Class Study
6. Week Introduction to Derivatives, Derivatives Left, Right Derivatives, Derivatives Rules Presentation (Preparation), Practice, Preparation, After Class Study
7. Week Derivatives of Inverse Functions, Composition of Functions Derivatives, Derivatives of Parametric Functions Presentation (Preparation), Practice, Preparation, After Class Study
8. Week Application Exercise Practice
9. Week Implicit Differentiation, Successive Derivatives, trigonometric, Derivatives of Functions. Presentation (Preparation), Practice, Preparation, After Class Study
10. Week Derivatives of inverse trigonometric functions, logarithmic and exponential functions Derivatives of Presentation (Preparation), Practice, Preparation, After Class Study
11. Week Ascending Descending Functions, Extreme Points, convexity, concavity And Graphics Drawing Presentation (Preparation), Practice, Preparation, After Class Study
12. Week Extreme Problems, Mean Value Theorem Presentation (Preparation), Preparation, After Class Study
13. Week Aid Derivative of a Function Plots, Curve Asymptote Containing Drawings Presentation (Preparation), Practice, Preparation, After Class Study
14. Week Differential Equations, Differential Equations Concept Presentation (Preparation), Practice, Preparation, After Class Study
*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 be able to identify the wood species based on the knowledge on wood biology,
2 Having knowledge on physical, mechanical and chemical properties of lignocellulosic products,
3 Having knowledge on wood product technologies and applying this knowledge to production,
4 Planning and managing the forest products industries taking into regard the environmental, technical and economic issues,
5 To be able to select and propose different forest products for various utilizations,
6 To be able to questioning and researching, including knowledge and experience how to reach information and analytical thinking and ability to design products,
7 To be able participate in a team, being in team works, in need being independent and initiative,
8 Having social and professional ethical values.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7
PY1 1 1 1 1 1 1 1
PY2 1 1 1 1 1 1 1
PY3 3 3 3 3 3 3 3
PY4 4 4 4 4 4 4 4
PY5 5 5 5 5 5 5 5
PY6 5 5 5 5 5 5 5
PY7 5 5 5 5 5 5 5
PY8 5 5 5 5 5 5 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 1 14
Ders Dışı
Preparation, After Class Study 14 1 14
Research 14 1 14
Presentation (Preparation) 14 1 14
Practice 8 2 16
Sınavlar
Midterm 1 1 1
Final 1 1 1
Classroom Activities 14 2 28
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0