Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Mathematics MAT1001 Turkish Compulsory 1. Semester 2 + 0 2.0 2.0
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 Developing analytical thinking skills, thereby modelling, solving and interpreting real-life problems.
Course Content Thinking, knowledge: Learning fundamental concepts related to mathematics, developing problem-solving skills and an engineering perspective. Feeling, attitude (affective): Being able to relate acquired knowledge, analyse and evaluate data. Doing, skill (psychomotor): Adapting the technical skills and abilities necessary for engineering applications to one's own field.
Learning Outcomes
# Öğrenme Kazanımı
1 Thinking, knowledge: Learning fundamental mathematical concepts, developing problem-solving skills and fostering an engineering perspective.
2 Perception, attitude (emotional): Ability to relate acquired knowledge, analyse and evaluate data.
3 Skill (psychomotor): The ability to adapt the technical skills and abilities required for engineering applications to one's own field.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week The Concept of Limits in Single-Variable Functions. Preparation, After Class Study, Presentation (Preparation)
2. Week Applications of Limits in Single-Variable Functions. Practice
3. Week Continuity and Discontinuity in Single-Variable Functions and Their Applications Preparation, After Class Study, Presentation (Preparation), Practice
4. Week Derivatives and Rules for Differentiation in Single-Variable Functions. Preparation, After Class Study, Presentation (Preparation)
5. Week Derivatives of Trigonometric, Logarithmic, Exponential, Hyperbolic Functions and Their Inverses, and of Composite Functions. Preparation, After Class Study, Presentation (Preparation)
6. Week Extremum and Absolute Extremum Points of Functions, Extremum Problems and Their Applications in Various Fields. Preparation, After Class Study, Presentation (Preparation), Practice
7. Week Graph Drawing Using Derivatives. Preparation, After Class Study, Presentation (Preparation), Practice
8. Week Application Exercise Practice
9. Week Indefinite Integrals and Integration Methods: Variable Substitution, Partial Integration. Preparation, After Class Study, Presentation (Preparation)
10. Week Indefinite Integrals and Integration Methods: Integration of Trigonometric, Rational and Irrational Functions. Preparation, After Class Study, Presentation (Preparation), Practice
11. Week Definite Integral. Preparation, After Class Study, Presentation (Preparation), Practice
12. Week Calculation of Area and Curve Length with Definite Integrals. Preparation, After Class Study, Presentation (Preparation), Practice
13. Week Volume Calculation with Definite Integrals. Preparation, After Class Study, Presentation (Preparation), Practice
14. Week Solving Mixed Problems Related to Definite Integrals. Preparation, After Class Study, Presentation (Preparation), 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 Knowledge: Within the framework of environmental and social sustainability principles (considering the public interest and value), to have the knowledge and understanding to gain and reflect up-to-date information that will carry out planning, design, management activities and research,
2 Knowledge: To have knowledge in planning and design approaches regarding sustainable resource management, healthy living and access to food, resilience, climate change management, rural / urban development and use of technology,
3 Knowledge: To have knowledge about universal, corporate and professional ethical values related to the field,
4 Knowledge: To have knowledge of national and international norms, conventions, professional principles, laws, regulations and standards related to the field,
5 Skill: The ability to use the necessary tools for the holistic perception, planning, design and creation of management models of processes within the landscape in the context of spatial / temporal scale, in the effects, pressures and changes faced by the inhabited geography,
6 Skill: The ability to develop alternative constructions and solutions in accordance with field-specific theories and methods in planning and design processes,
7 Skill: The ability to take responsibility in an interdisciplinary / transdisciplinary team, to set goals in a collaborative and inclusive manner, to plan tasks and to work in a participatory manner,
8 Skill: The ability to discuss individual views on field-specific issues and to improve oneself
9 Competence: Competence to act with the awareness of lifelong learning and research by internalizing sustainable, innovative and entrepreneurial approaches,
11 Competence: Competence to make decisions with a fair and participatory consciousness, with respect to environmental rights, social and cultural rights, showing the necessary sensitivity in the protection of natural environment and cultural heritage, based on universal principles in the field of profession,
12 Competence: Competence to prepare, implement, manage and monitor projects about the field, taking into account of knowledge in Landscape Architecture theory and methodology, open green space planning, green and blue infrastructure, management, protection and interpretation of cultural landscapes and landscape management,
13 Competence: Competence to produce projects in interdisciplinary collaborations in landscape planning, design and materials with the experience of tree nursery, application and office internship by integrating knowledge on the management of landscapes of different scales, planning and design of infrastructure projects, material and construction techniques with information technologies in the field,
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
PY1 1 1 1
PY2 1 1 1
PY3 1 1 1
PY4 1 1 1
PY5 1 1 1
PY6 1 1 1
PY7 1 1 1
PY8 1 1 1
PY9 1 1 1
PY11 1 1 1
PY12 1 1 1
PY13 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • General Mathematics, Anadolu University Open Education Faculty Textbook Calculus, TÜBA Publications
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Öğr. Gör. Canberk BATU Vize 30.00
Öğr. Gör. Canberk BATU Final 70.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 15 1 15
Ders Dışı
Preparation, After Class Study 5 2 10
Presentation (Preparation) 5 1 5
Practice 4 2 8
Sınavlar
Midterm 1 2 2
Final 1 2 2
Practice 3 3 9
Total Workload 51
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 2.0