Numerical Methods with Python in Photonics, 2 ECTS             UJM semester 2 
           Course instructors: Henri Pesonen     Language of instruction: English 
            
            
           Learning outcomes and content 
           In this course a student will learn the basic usage of Python and its application to numerical 
           photonics. In the first part of the course we will learn the basic usage of Python and Ipython console 
           with Spyder IDE. This includes writing and running scripts and functions with Numpy and Scipy 
           numerical packages.   
            
           In the second Part of the course we will apply learned skills on photonical problems numerically. 
           Based on the theory presented in the course we, will design a plasmonic and a thin film  devices and 
           also use the Fourier optics  to model light propagation through a lens system and study the intrinsic 
           aberrations of lenses. 
            
           Teaching methods          
           Lectures and exercises 24 h, programming exercises. 
            
           Study materials           
           Lecture notes. 
           Assumed Knowledge 
            
           Photonics: Maxwell's equations, Fourier optics . Mathematics: linear analysis including knowledge 
           on basic concepts of matrices and vectors, matrix multiplication and inversion. Analysis including 
           time/space differentiation and integration.  
           Low level knowledge on coding. 
            
           Evaluation criteria 
           Grading: pass/fail. Additionally, programming exercises is required.