Photonic Semiconductors R4a

Overview

Credits points: 12


Workload:
120 hours course attendance; 240 hours self-study


Semester: summer


Language: English


Module type: elective


Module usability: M.Sc. Electrical Communication Engineering, M.Sc. Elektrotechnik


Module duration: one semester


Required qualifications:
mathematical foundations in electromagnetic field theory, basic python programming skills, and basic quantum mechanics.

Competences to be acquired

Research and development in electromagnetic theory for photonic semiconductor devices


Computational algorithm implementation


Interpretation and evaluation of numerical results

Courses

Content

  • Numerical methods in problems of electromagnetic field theory: transfer matrix method (TMM), finite-difference time-domain (FDTD) method, and finite-element methods (FEM)

Learning outcomes

  • Knowledge of various numerical methods for solution of Maxwell's equations in time and frequency domains by applying different methods

Details

  • Lecturer: Jost Adam and team
  • Teaching method: lecture and exercises
  • SWS: 3
  • Credit points: 5
  • Offered in: summer
  • Examination: oral exam (30 minutes)
  • Course identifier: N.N.

Content

  • Numerical methods in problems of electromagnetic field theory: transfer matrix method (TMM), finite-difference time-domain (FDTD) method, and finite-element methods (FEM)

Learning outcomes

  • Knowledge of various numerical methods for solution of Maxwell's equations in time and frequency domains by applying different methods

Details

  • Lecturer: Jost Adam and team
  • Teaching method: lab training
  • SWS: 2
  • Credit points: 2
  • Offered in: summer
  • Examination: lab training attendance, and conductance of experiments
  • Course identifier: N.N.

Content

  • Introduction to semiconductors, quantum mechanics, numerical modeling, the pn diode, the transistor, the LED, the photovoltaic cell, nanostructures in device modeling
  • Electromagnetic field theory, electromagnetic waves, transmission line, time-dependent boundary value problems, metallic waveguides and resonators, periodic structures and coupled modes, dispersive and anisotropic media, electromagnetic source fields

Learning outcomes

  • Introduction to the principles of semiconductor devices
  • Understanding and analyzing the basic theory and the models that describe the characteristics of semiconductor devices
  • Understanding the impact of nanoscience on the latest device concepts (nanowires, monolayers)

Details

  • Lecturer: Jost Adam and team
  • Teaching method: lecture and exercises
  • SWS: 3
  • Credit points: 5
  • Offered in: summer
  • Examination: oral exam (30 minutes)
  • Course identifier: FB16-2531