Active Learning Interface (for) Circuits (and) Electronics:
The ALICE Desktop software interface is a collection of software instruments written for use with the active learning hardware modules ADALM1000 (M1K) and ADALM2000 (M2K). Note: Source code for M2k is no longer being up dated and is likely non-functional.
Although the word ALICE can be spelled out from the title of this users guide, it is actually an allusion to the fantasy works of Lewis Carroll: 1865’s Alice’s Adventures in Wonderland and its 1871 sequel Through the Looking-Glass, and What Alice Found There. In these stories Alice explores a strange and wondrous world down a rabbit hole and on the other side of a mirror ( looking glass ).
Hopefully, through the use of this software along with the active learning hardware modules, Students can explore the strange and wondrous world of Circuits, Electronics and Electrical Engineering.
The ALICE Desktop software provides the following functions:
The ALICE Desktop programs are written in Python and if run from the source code requires version 2.7.8 or greater of Python be installed on the user’s computer. The program only imports modules generally included with standard Python installation packages.
Windows users who do not wish to install Python and the other required software packages can install the standalone executable under Releases.
Run the alice-desktop-1.2-setup.exe or alice-desktop-2.0-setup.exe installer program. ALICE desktop opens and saves info and data to various files in the installation directory. Because of user permission issues with some installations of Windows you may need to install the software in a directory other than the default “Program Files”. C:\ALM Software\ would be a good second choice. The installer adds desktop icons for each tool in the suite. Alternatively, under the properties for the icons, you can change the directory the program(s) start in.
Or run ALICE Desktop from the Python 2.7 compatible source code with the following packages installed:
Python 2.7.11 (or higher, 32 bit version recommended) numpy numerical package extension libsmu/pysmu for M1K or libiio/iio.py for M2K