Design of Code and Project Description

This lecture covers the process of making scientific software, including activities, algorithms description, implementation, and an example of a scientific question. It also discusses the rules and requirements for a project involving Eigenvalue problems, Ordinary Differential Equations, Non-linear systems, Data approximation, Numerical Integration, Image/sound processing, and Monte Carlo simulations.