Programming for Quantitative Problem Solving

Catalog description

Python is a versatile and widely used programming language that offers valuable skills and knowledge for students from various disciplines. This course introduces Python programming language to develop skills in computational problem-solving and critical quantitative reasoning across various contexts. Topics include fundamental programming concepts of Python programming, including variables, data types, control structures (loops and conditionals), basic data structures such as lists, dictionaries, and sets, procedural programming, object-oriented programming paradigms, debugging, and best practices for writing efficient and readable code. No prior programming experience is required. Through hands-on coding exercises and projects, students will work with numerical data, solve quantitative problems, and communicate insights supported by data analysis. FSS.