Scripting languages in data analysis - course description

General information

Course name	Scripting languages in data analysis
Course ID	13.2-WF-FizD-SLDA-S17
Faculty	Faculty of Physics and Astronomy
Field of study	Physics
Education profile	academic
Level of studies	First-cycle studies leading to Bachelor's degree
Beginning semester	winter term 2018/2019

Course information

Semester	5
ECTS credits to win	3
Course type	obligatory
Teaching language	english
Author of syllabus	dr hab. Krzysztof Dudek

Classes forms

The class form	Hours per semester (full-time)	Hours per week (full-time)	Hours per semester (part-time)	Hours per week (part-time)	Form of assignment
Laboratory	30	2	-	-	Credit with grade

Aim of the course

The primary language is the Python programming language and by using it students should acquire the ability to analyze data related to specific science-oriented problems. Students should also be able to apply their knowledge to an arbitrary project involving the data analysis.

Prerequisites

It is assumed that students have elementary programming skills in any programming language, and knowledge of basic mathematical methods of data analysis.

Scope

Introduction to programming in Python.
Python libraries: NumPy, matplotlib, SciPy.
Basic use of NumPy (data processing using arrays, mathematical and statistical methods, the ability to read and save data on the disk in the binary binary format or as a plain text).
Basic use of Matplotlib: data plots, visualization.
Statistical analysis.

Teaching methods

Laboratory exercises, individual work and group work, exchange of ideas, work with documentation, self-knowledge acquisition, project.

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Notes

Modified by dr hab. Maria Przybylska, prof. UZ (last modification: 29-09-2020 19:40)

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