Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Engineering Mathematics EEM210 Turkish Compulsory 4. Semester 3 + 0 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery In class
Course Coordinator Dr. Öğr. Üyesi Oğuzhan DEMİRYÜREK
Instructor(s)
Goals To learn the concepts of vector analysis, operations with complex numbers, and Laplace transform required for electrical and electronics engineering.
Course Content Vector and scalar fields, derivative of a vector function, partial derivative; Parametric representation of curves; Tangent vector, arc length; Directional derivative and gradient for a scalar function; Divergence and curl for a vector function; Laplace operator; Conservative, solenoidal, and irrotational fields; Line integrals of vector functions; Work done by a force, path independence; Surface and volume integrals; Integral theorems: divergence theorem, Stokes' theorem; Complex numbers; Laplace and inverse Laplace transforms.
Learning Outcomes
# Öğrenme Kazanımı
1 Ability to define vector problems in Cartesian, cylindrical and spherical coordinates; ability to perform transformations between coordinate systems.
2 Ability to use vector operators and solve vector problems.
3 Line, surface and volume integral
4 Ability to use complex numbers
5 Ability to perform Laplace and Inverse Laplace Transforms
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Scalar and vector quantities, scalar and vector field concepts, vector arithmetic. Unit and position vector Interview Practice Preparation, After Class Study Class Hours
2. Week Orthogonal coordinate systems; Cartesian, cylindrical coordinate systems and point and vector transformations in these systems Practice Interview Preparation, After Class Study Class Hours
3. Week Spherical coordinate system, point and vector representation in this system and spherical-cylindrical and spherical-Cartesian point and vector transformations Practice Class Hours Interview Preparation, After Class Study
4. Week Exact differential and vector derivatives, nabla operator, gradient and Laplacian concepts Practice Interview Class Hours Preparation, After Class Study
5. Week Vector derivatives : Divergence of a vector fields Preparation, After Class Study Class Hours
6. Week Vector derivatives : Curl of a vector fields Preparation, After Class Study Interview Practice Class Hours
7. Week Line, surface and volume integrals for vector fields Practice Interview Preparation, After Class Study Class Hours
8. Week Line, surface and volume integrals for vector fields Class Hours Preparation, After Class Study
9. Week Gauss - Ostrogradsky theorem Preparation, After Class Study Class Hours
10. Week Stokes' Theorem Preparation, After Class Study Class Hours
11. Week Complex numbers and complex plane Preparation, After Class Study Class Hours
12. Week De Moivre Theorem Preparation, After Class Study Class Hours
13. Week Laplace Transform Class Hours Preparation, After Class Study
14. Week Inverse Laplace Transform Preparation, After Class Study Class Hours
*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 Adequate knowledge in mathematics, science, and related engineering disciplines; ability to use theoretical and applied information in these areas to solve complex engineering problems.
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3 Ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
6 Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually.
7 Ability to communicate effectively both orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
9 Knowledge about behaving by ethical principles, professional and ethical responsibility, and standards used in engineering practices.
10 Knowledge of business life practices such as project management, risk management, and change management; awareness of entrepreneurship, and innovation; knowledge of sustainable development.
11 Knowledge about the global and societal effects 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.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
PY2 4 4 4 4 4
PY3 0 0 0 0 0
PY4 0 0 0 0 0
PY6 1 1 1 1 1
PY7 0 0 0 0 0
PY8 0 0 0 0 0
PY9 2 2 2 2 2
PY10 0 0 0 0 0
PY11 0 0 0 0 0
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • F. Birbir Ünal, O. Demiryürek, Ders Notu
  • M. R. Spiegel, Vector analysis, Schaum Outline series, 2019.
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
Preparation, After Class Study 14 2 28
Research 14 1.5 21
Practice 14 2 28
Other Activities 1 4.5 4.5
Sınavlar
Midterm 1 1 2 2
Final 1 2 2
Total Workload 127.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0