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19E032PSA1 - Practicum - Software Tools 1

Course specification
Course title Practicum - Software Tools 1
Acronym 19E032PSA1
Study programme Electrical Engineering and Computing
Module Telecommunications and Information Technologies
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 3.0 Status elective
    Condition
    The goal Introducing students with two software tools useful for the study module: 1. Python 2. MATLAB ( MATLAB clone) - introduction to the program package
    The outcome Students will be able to: -use Python -use MATLAB (MATLAB clone) -develop the Python code of certain complexity and to present the results -develop the MATLAB (MATLAB clone) code of certain complexity and to present the results
    Contents
    URL to the subject page http://telit.etf.rs/kurs/praktikum-softverski-alati-1/
    URL to lectures https://teams.microsoft.com/l/team/19%3aSLkICZyv_xNjF3SiKX3sJBfcI3ESKoISkK6Oehz7Xtw1%40thread.tacv2/conversations?groupId=93e77c1a-23ed-42c9-a9b9-a004b512d6f0&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
    Contents of lectures Python: installation; data types, operators, logical operations, number formats, modules, functions, lists, aliases, matrices, structures, strings, files; Python Object Oriented Programming, Pylab, Symbolic Computing – SymPy. MATLAB (MATLAB clone): Command window. Data, arithmetic operations, logical operations. Indexing. Scripts and function. Graphics. Animation. Symbolic computing. Toolboxes.
    Contents of exercises Demonstration of software packages. Laboratory exercises - solving of simple problems.
    Literature
    1. MATLAB Documentation, MathWorks. http://www.mathworks.com/help/ (Original title)
    2. LabVIEW Operational Manual, Natioanal Instruments. http://www.ni.com/pdf/manuals/320999e.pdf (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    1 1.5
    Methods of teaching Lectures, laboratory exercises.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 30
    Practical lessons 0 Oral examination 0
    Projects
    Colloquia 70
    Seminars 0