- 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
FBB3110 Computational Python 5.0 credits
This course has been discontinued.
Last planned examination: Autumn 2022
Decision to discontinue this course:
No information inserted
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FBB3110 (Spring 2021–)Content and learning outcomes
Course contents
Intended learning outcomes
After having completed the course the student will be able 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
Literature and preparations
Specific prerequisites
Eligible for studies at the third-cycle level.
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- PRO1 - Project assignment, 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.
The examination is done in terms of a project the student chooses that is relevant for their research area.
Other requirements for final grade
At least 80 % presence
Approved written project report and oral presentation in group.
Examiner
Ethical approach
- 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.
Further information
Course room in Canvas
Offered by
Main field of study
Education cycle
Supplementary information
Target audience: PhD student of coputational sciences
Number of students: 20
It is an on-campus course assuming that the pandemic situation does not require online.