FCA3004 Computational Python 7.5 credits

The course comprises approximately 200 full-time study hours. The course includes lectures with associated individual home assignments where the student designs an efficient algorithm to solve a specific task. The assignments are presented and discussed during sessions scheduled for this purpose. (40 full-time study hours)

The course also includes a project where the student independently designs and presents a program written in Python thatintegrates efficient algorithm design with the student’s own research topic. (160 full-time study hours)

• Python and its relationship to other programming languages
• Programming environments for Python
• Version control with git
• Software testing with pytest
• Data science libraries: numpy, scipy, pandas, matplotlib
• Interfaces to compiled languages
• Relational and document-oriented databases with Python
• ·Methods in Python for concurrent programming: threading, multiprocessing, and asynchronous methods

After completion of the course the doctoral student should have the knowledge and ability to

• Write programs in Python to solve problems in computational science.
• Apply best practices in programming with respect to version control and testing.
• Choose and apply data-science libraries relevant for their problem domain.
• Account for and apply established programming ethical guidelines.

 Eligiblefor studies at the third-cycle level.

Basic Python or other equivalent programming experience.

Basic Python or other equivalent programming experience.

If the course is discontinued, students may request to be examined during the following two academic years.

• DAT1 - Computer assignment, 2.5 credits, grading scale: P, F
• PRO1 - Project, 5.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Additional information about the course and grade criteria are found in the course memo.

For final grade the following are required: Passed assignments, active participation in group discussions and passed written project report (PRO1). Participation in computer exercise with passed report (DAT1).

Olav Vahtras

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

If the examination form is changed, the student will be examined according to the examination form that applied when the student was admitted to the course. If the course is completed, the student is given the opportunity to be examined on the course for another two academic years.

Equipment: Own laptop computer.