Syllabus

Credits: 5

Schedule: 13.09.2019 - 13.12.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II 2018 - 2019 (autumn)
I-II 2019 - 2020 (autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

This course refreshes and updates students’ basic mathematical skills and develops their software and programming competencies that are needed
in finishing the Master's degree. The contents include data analysis, mathematical transforms, matrix operations and basic differential equation and equation systems solving tools. Most exercises can be solved using MATLAB and/or Mathematica.

Content (valid 01.08.2018-31.07.2020): 

This course addresses analysis and modelling of mathematical problems in the fields of physics and engineering. Lectures focus on the theoretical backgrounds of studied problems and exercises on their computational solution methods. MATLAB and Mathematica are the main software platforms used for numeric modelling of the given problems. 

Course consists of topics including: data analysis, symbolic and numeric approaches for solving physics and engineering problems, mathematical transforms, differential and integral equations, systems of differential equation, and numerical methods on differential equations. Contents may vary slightly every year.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Home and class exercises

Workload (valid 01.08.2018-31.07.2020): 

Lectures 20 h
Computer exercises 40 h
Scientific writing 10 h
Individual work 60 h

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

ELEC-E3151 Mathematical Computing

Prerequisites (valid 01.08.2018-31.07.2020): 

Basic courses in mathematics on the BSc level. Familiarity with MATLAB/Mathematica will be beneficial.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Registration for Courses (valid 01.08.2018-31.07.2020): 

WebOodi

Further Information (valid 01.08.2018-31.07.2020): 

language class 3: English

Description

Registration and further information