Covers the fundamental concepts of loops and iterations in programming, including conditional loops, for loops, while loops, break and continue statements.
Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.
Covers vectorization in Python using Numpy for efficient scientific computing, emphasizing the benefits of avoiding for loops and demonstrating practical applications.
Students in 'Numerics for Fluids, Structures and Electromagnetics' must complete projects individually or in pairs, following specific rules and evaluation criteria.
