Introduces fundamental graphical concepts in Matlab and Octave, covering handle graphics and plot customization.
Covers fundamental concepts in computer graphics, including rendering, modeling, and animation, aiming to develop practical skills and stimulate interest in the interdisciplinary field.
Introduces numerical optimization with Scipy, covering zero finding, problem dimensionality, derivatives, and advanced visualization techniques.
Covers the basics of Matplotlib for 2D graphic representation in Python, including plotting data and visualizing functions.
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
