ELEC-E9111 - Mathematical computing, Lecture, 6.9.2023-1.12.2023

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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

This course refreshes students' basic mathematical skills and develops software and programming competencies that are needed in studies for Master's degree. The contents include topics e.g. data analysis, mathematical transforms, matrix operations and differential equations. Exercises are solved using MATLAB and/or Mathematica, which supports the learning of these widely used programming platforms.

Credits: 5

Schedule: 06.09.2023 - 01.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ilkka Tittonen

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:

    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 for whole curriculum period:

    Homework exercises

Workload

  • valid for whole curriculum period:

    Lectures: 24 h
    Computer exercises: 40 h
    Scientific writing: 6 h
    Individual work: 60 h

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

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Aalto University Code of Academic Integrity and Handling Violations Thereof