Scientific Plotting for Chemical Engineering and Numerical Methods

Transforming raw numerical simulation data into clear, publication-quality visualizations is a critical skill for modern chemical engineers. This text-based course guides you through the principles of scientific plotting, helping you represent complex process data with clarity and precision. You will transition from looking at raw tables of simulation outputs to designing highly informative, structured, and visually appealing 2D and 3D representations of chemical engineering systems. Learn to: Understand the core principles of data visualization and plot aesthetics for scientific communication; Create clear 2D plots for chemical kinetics, thermodynamic states, and transport phenomena; Generate 3D surface and contour plots to visualize spatial concentration and temperature profiles; Design complex multi-panel figures to compare multiple simulation runs and numerical methods; Apply modern Python plotting libraries to format axes, labels, legends, and color scales for maximum readability; Practice exporting high-resolution vector graphics suitable for technical reports. The course begins with foundational concepts in data structure and visualization theory before moving to step-by-step written tutorials on building, customizing, and styling complex multi-dimensional figures. Designed for chemical engineering students, researchers, and professionals who want to improve their data presentation skills, this course requires no prior advanced programming experience. Start reading today to turn your numerical simulation data into impactful visual narratives.