You will learn how to generate discrete signals and perform spectral analysis, create an AM signal, simulate a Gaussian data transmission channel, simulate a QPSK modem, change the sampling frequency of a digital signal, and apply filters for a noisy signal.
The course is designed to familiarize students with numerical methods for solving basic problems of mathematical analysis: calculation of limits, derivatives, integrals, solution of ordinary differential equations and their systems.
The course is designed to learn the basics of programming in the Julia language – the main language of "Engee". The course introduces students to the following sections: variables and data types, expressions, reading and writing data, arrays, symbols and strings, functions, conditional operators, loops, libraries.
The course is devoted to dynamic modeling of automatic control systems: linearization of a physical system, development of a feedback control loop using a PID controller, and verification of the developed controller for compliance with system requirements.
The course covers the basic concepts of digital signal processing: analog-to-digital conversion (ADC), digital-to-analog conversion (DAC), spectral analysis and Fourier transform, concepts of linear systems and filtering. The basic knowledge for the design and construction of digital filters, the implementation of multi-speed signal processing is also given.
You will learn all the subtleties of working with the text and code cell editor, the use of code cell masks, study in detail the variable window, the graph window and the Data Inspector application, and learn program management of scripts and modeling.
The course is designed to familiarize students with image processing in the "Engee" environment. By the end of the course, you will learn how to use "Engee" to compress an image without significantly deforming the objects depicted on it.
The course is designed to introduce basic concepts of linear algebra, such as matrices, determinants, systems of linear algebraic equations, eigenvalues, and eigenvectors.
The course is designed to familiarize students with the basic methods of solving nonlinear equations: graphical solution, numerical solution of nonlinear equations, solving nonlinear equations using the built-in functions "Engee", solving systems of nonlinear equations.
Introductory course in technical computing in the "Engee" environment. Introduces the listener to the environment of "Engee", the usage of the command line and interactive scripts for calculations, plotting, as well as the basics of the programming language "Julia".
The course is designed to familiarize you with the libraries and functions for solving optimization problems in Engee. After completing this course, you will learn how to formulate optimization problems, create variables, expressions, and functions, and visualize the results of your calculations.
You will learn the basics of physical modeling, the construction of physical models and the analysis of their signals using the basics of multi-domain modeling. At the end, you will consolidate your knowledge during the implementation of the final project.
The course is designed to learn the basics of programming in the Julia language – the main language of "Engee". The course introduces students to the following sections: variables and data types, expressions, reading and writing data, arrays, symbols and strings, functions, conditional operators, loops, libraries.
You will learn how to plot graphs based on tabular data, calculate the numerical characteristics of a sample, create implementations of a normally distributed random variable, select its parameters, and test statistical hypotheses about the parameters and the type of distribution.
The course is designed to familiarize you with the libraries and functions of symbolic mathematics in Engee. Each section of the course contains practical examples and tasks for self-completion.
You will learn how to add and customize blocks, create filters for signal processing, and design both discrete and continuous dynamic systems. At the end, you will consolidate your knowledge during the implementation of two practical projects.
Engee basics
Modeling
~ 3 h
How to download all available examples
To load all available examples in the environment Engee, run the following code in the script editor Script editor .
if isdir("/user/start/content_updater") rm("/user/start/content_updater";force = true, recursive = true) end run(`git clone https://git.engee.com/learn-engee/content-catalog.git /user/start/content_updater`)
After executing the command, the script will be loaded from the path/user/start/content_updater in the file browserEngee and will be called refresh_demo_catalog.ngscript. Double click on it to open.
To get courses, hover your cursor over the cell with the code under the description of the course you are interested in and click on the green button that appears Execute:
To get all courses at once:
Click on the button Run script in the upper right corner of the script editor:
The downloaded courses will be located in the «Courses» folder, and for the introductory course «Quick Start» there is a separate folder with the same name.: