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Certificates: Certificate "Data analysis with Python and MATLAB"
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Additional Certificates: Python" certificate
Certificate "MATLAB and Simulink" -
Examination: Practical project work with final presentations
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Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 8 Weeks
Programming with Python
Python basics (approx. 1 day)
History, concepts
Usage and areas of application
syntax
First steps with Python (approx. 5 days)
Numbers
Strings
Date and time
Standard input and output
list, tuple dict, set
Branches and loops (if, for, while)
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Functions (approx. 5 days)
Define your own functions
Variables
Parameters, recursion
Functional programming
Troubleshooting (approx. 0.5 days)
try, except
Intercept program interruptions
Object-oriented programming (approx. 4.5 days)
Python classes
Methods
Immutable objects
Data class
Inheritance
Graphical user interface (approx. 1 day)
Buttons and text fields
Grid layout
File selection
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Mathematical modeling with MATLAB and Simulink
MATLAB basics (approx. 2 days)
MATLAB user interface
Reading data from a file
Variables, arrays, operators, basic functions
Graphical representation of data
Customizing diagrams
Exporting graphics
Variables and commands (approx. 2 days)
Relational and logical operators
Sets, sets with 2D solids (polyshape)
Performing mathematical and statistical calculations with vectors
Graphics in statistics
Analysis and visualization (approx. 1 day)
Creating and modifying matrices
Mathematical operations with matrices
Graphical representation of matrix data
Matrix applications: Mappings, rotation, systems of linear equations, least square method
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Data processing (approx. 1 day)
Data types: Structure arrays, cell arrays, string vs. char, categorical, datetime and much more.
Creating and organizing tabular data
Conditional data selection
Importing/exporting with Matlab: folder structures, .mat data, table data, continuous texts
MATLAB programming (approx. 3 days)
Control structures: loops, if-else, exceptions
Functions
Object-oriented programming
App design
Simulation in MATLAB (approx. 5 days)
Numerical integration and differentiation
Basics of simulation of ordinary differential equations, Matlab ODE and solver options
Simulation technology in Matlab: input parameters, data interpolation, simulation studies
Simulation control: event functions (zero crossing), output functions
Application examples, e.g. simulation of an electric motor, simulation of a rocket
Simulink (approx. 4 days)
Basics of Simulink: Diagrams, functions, signals and differential equations
Functions, subsystems and libraries
Import/export, lookup tables, control
Zero-crossing, automation of simulation tasks (Matlab access)
Application examples, e.g. simulation of an aircraft drive train
Project work (approx. 2 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After the course, you will have a compact, basic knowledge of programming with Python. You will be able to use the programming language with its classes, libraries and functions with confidence.
In addition, you have the necessary specialist knowledge and know the specific terminology for mathematical modeling with MATLAB and Simulink. You are familiar with the MATLAB software tools and the MATLAB programming language. You are also familiar with the modeling of numerical systems using Simulink software.
The course is aimed at students of mathematics, science and engineering.
Specialists with knowledge of the standard mathematical programs MATLAB and Simulink and the associated data simulation are in demand in numerous industrial fields. Python is a versatile programming language; knowledge of it makes you even more attractive to many companies on the job market.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).