Offers a crash course in MATLAB, covering data representation, array indexing, mathematical operations, and common pitfalls.
Introduces records, variants, evaluation rules, typing rules, aliasing challenges, and benefits in programming languages.
Covers event planning, sequential programming, and the decision-making process when programming a robot.
Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.
Explores the challenges of null references in programming languages and proposes solutions to mitigate their drawbacks while ensuring compatibility with existing codebases.
