Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Learning outcomes depending on the implementation, including for example: 

  • Basics of computational analysis methods in electromagnetics. She/he recognizes the strengths and weaknesses of the methods and is able to evaluate their suitability for solving practical engineering problems. The student learns how to implement (with MATLAB) solvers for simple example problems and to use these solvers to find solutions for electromagnetic and electrical engineering design problems. He/she will utilize problem-solving processes and learn to report and document his/her results.
  • Advanced understanding of electromagnetic fields and methodology to solve fundamental problems in electromagnetic field theory. Basic understanding of light-matter interaction on nano (subwavelength) scale, knowledge of recent developments, and applications of artificial materials designed to achieve advantageous and unusual electromagnetic and optical properties.

Credits: 5

Schedule: 24.02.2025 - 04.06.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Viktar Asadchy, Pasi Ylä-Oijala

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Topic varies and it can be e.g. computational electromagnetics or advanced fields theory.

    Further information on each implementation is given in MyCourses.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Homework exercises, project works, reports, exam, and/or seminar presentations. Assessment criteria will be specified at the beginning of the course.

Workload
  • valid for whole curriculum period:

    Lectures, exercise sessions, scientific writing, seminar presentations, individual work, MATLAB programming

DETAILS

Study Material
  • valid for whole curriculum period:

    Lecture notes, text books and/or selected journal papers (will be specified at the beginning of the course).

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV - V
    2025-2026 Spring III - IV

    Registration:

    The content of this course varies and the course may be completed several times. The first time, register for the course in Sisu and credits will be given with this course code. The second time, register for the course by contacting the responsible teacher and inform the teacher that you are doing the course for a second time. On the second time, credits will be given as Sisu custom course credits.