Prerequisites: MAA102, MAA103
The aim of Introduction to Numerical
Analysis (MAA106) is to provide
students with practical knowledge of
basic mathematic algorithms and computer
programming. Computational
Mathematics covers several notions such
as representation of numbers, complexity
of algorithms, interpolation of functions,
numerical integration, optimization,
error analysis, etc. The course’s focus is on
implementation using Python.

 




The aim of Introduction to Numerical Analysis (MAA 106) is to provide the students with practical knowledge of basic mathematical algorithms and computer programming.

The course is divided into 4 cycles and covers several notions such as the representation of numbers, the complexity of algorithms, interpolation of functions, numerical integration and solving equations. Mathematics are used to study the notions of error, convergence, order of convergence... We also focus on the practical implementation of the methods, using in particular Python notebooks which enable to test easily the algorithms with multiple parameters for instance.

The last three weeks of the course are devoted to a more personal project that will allow the student to understand deeper a notion seen in class. The grading of the course includes the project, a test and homeworks.