Computer programming (CSE101) introduces
students (with or without previous
programming experience) to the fundamentals
of computer programming
in Python, with applications across the
sciences. In this course, students will
explore fundamental algorithms and data
structures, up to and including binary
trees, using a mixture of procedural,
recursive, and object-oriented techniques.
Upon completion of this course, students
will have a solid foundation in the culture
and practice of modern programming,
and the basic skills to solve real-world
problems using efficient, well-written programs
and open-source tools. These foundations
will be extended and completed
in CSE 102 and CSE 103.
Computer programming (CSE101) introduces students (with or without previous programming experience) to the fundamentals of computer programming in Python, with applications across the sciences. In this course, students will explore fundamental algorithms and data structures, up to and including binary trees, using a mixture of procedural, recursive, and object-oriented techniques. Upon completion of this course, students will have a solid foundation in the culture and practice of modern programming, and the basic skills to solve real-world problems using efficient, well-written programs and open-source tools. These foundations will be extended and completed in CSE102 and CSE103.
- Teaching coordinator: Aubrun Nathalie
- Teaching coordinator: Berkemer Sarah
- Teaching coordinator: Blazy Olivier
- Teaching coordinator: Brochet Hadrien
- Teaching coordinator: Haucourt Emmanuel
- Teaching coordinator: Kniazev Roman
- Teaching coordinator: Makhlouf Karima
- Teaching coordinator: Pogudin Gleb
- Teaching coordinator: Smith Benjamin
- Teaching coordinator: Wu Jui-Hsuan
Advanced Programming (CSE102) is
the continuation of the previous semester’s
course (CSE101). We will continue
to lay the foundations of modern computer
science, while developing more
sophisticated programming techniques
in Python. At the end of this course,
students will have the fundamental analytical
and programming skills to solve
everyday problems in the sciences more
efficiently and effectively. They will also
be prepared to continue learning other
programming languages and paradigms,
and the theoretical foundations of computer
science itself.
- Teaching coordinator: Blazy Olivier
- Teaching coordinator: Canu Quentin
- Teaching coordinator: Haucourt Emmanuel
- Teaching coordinator: Strub Pierre-Yves
- Teaching coordinator: Ulusoy Aly-Bora
- Teaching coordinator: Will Sebastian
- Teaching coordinator: Zeilberger Noam
An algorithm is a sequence of instructions that allows us to solve a problem using a finite number of steps. As such, algorithms are the procedures that we use to “compute”. We study algorithms to know what can actually be computed, in theory and in practice, and to find out how efficiently it can be done.
Introduction to Algorithms (CSE103) is an initiation into the art and science of algorithms. This course will train students in how to think about algorithms, how to solve a wide range of problems by means of a number of algorithmic techniques, how to rigorously compare different algorithms and predict their performance, and how it is possible to formally prove that a program implementing an algorithm is correct.
- Teaching coordinator: Beguinot Julien
- Teaching coordinator: Berkemer Sarah
- Teaching coordinator: Blazy Olivier
- Teaching coordinator: Chiche Nathan
- Teaching coordinator: Haucourt Emmanuel
- Teaching coordinator: Hummes Flores Bernardo
- Teaching coordinator: Penet De Monterno Louis
- Teaching coordinator: Zhioua Sami
- Teaching coordinator: Blazy Olivier
- Teaching coordinator: Donato Pablo
- Teaching coordinator: Haucourt Emmanuel
- Teaching coordinator: Rohmer Damien
- Teaching coordinator: Wei Jiayi