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This lecture provides an overview of MATLAB and GNU Octave, covering topics such as basic concepts, workspace, constants, operators, data types, and matrices. It also discusses the installation and configuration of Octave, highlighting the similarities and differences between MATLAB and Octave, as well as alternative open-source software options. The lecture delves into the practical aspects of using these tools, including working directories, prologues, and epilogues. Additionally, it explores the functionalities of Jupyter Notebook in conjunction with Octave, offering insights into running scripts, plotting functions, and utilizing various packages.