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24S031UIM - Introduction to Engineering Methodologies

Course specification
Course title Introduction to Engineering Methodologies
Acronym 24S031UIM
Study programme Software Engineering
Module
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 2.0 Status elective
    Condition none
    The goal Familiarization with the basics of engineering methodology, steps from an idea to the final result/product. Acquaintance with basic concepts related to the application of simulations in engineering practice. Familiarization with the principles of simulation of continuous quantities. Introduction to MATLAB. Basics of the application of measurements in electrical engineering and computing.
    The outcome The student will be able to: - understand the basic concepts of engineering methodology - understand the role and importance of simulation as an engineering method - understand the role and importance of measurement in electrical engineering and computing -use MATLAB independently at the basic level - independently realize a simple simulation and compare the results with the measurement results
    Contents
    URL to lectures https://teams.microsoft.com/l/team/19%3AAEx5yojHKAjrjd-V_CFoS9iaoFXtEAQYGNALk1chQdo1%40thread.tacv2/conversations?groupId=f338b99c-e028-49a0-bc11-cfa7cdc0fc05&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
    Contents of lectures Review of methodologies in engineering practice. Problem setting. Overview of steps from problem setting to results. Simulation in engineering practice, MATLAB examples. Discretization in time and quantization of continuous quantities. Measurements in electrical engineering and computing. Elements of parameter extraction from measured results.
    Contents of exercises Introduction to MATLAB. Elementary calculations and simulations in the MATLAB environment. Saving results in other formats. Effects of quantization and discretization in time. Measurements of electrical quantities, and analysis of measurement results related to previously simulated examples.
    Literature
    1. Walt Kester editor, “The Data Conversion Handbook”, Newnes, 2005, ISBN 0-7506-7841-0 (Original title)
    2. https://www.mathworks.com/help/matlab/ (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    1 1
    Methods of teaching Lectures, laboratory exercises, presentations.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 30
    Practical lessons 40 Oral examination
    Projects
    Colloquia 30
    Seminars