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 for research students about course offerings
The course is replaced by FCA3004.
Content and learning outcomes
- 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
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
The course follows a model established by the Swedish e-Science Education (SeSE), of which it is part. It consists of three parts, a preparation phase, a full week of lectures and exercises, and a project phase. A project presentation will normally consist of a general background to the scientific area and a demonstration of how a specific problem have been addressed with skills obtained in the course.
Literature and preparations
Eligible for studies at the third-cycle level.
Basic proficiency with a command-line interface (e.g. Unix)
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- 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 about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web FBB3110
Main field of study
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.