The course takes place in period

1 (2019-08-01 to 2019-10-27)

Level/category

Professional studies

Teaching language

Swedish

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

3

Total number of ECTS

5 cr

Competency aims

The aim of the course is to introduce core
concepts
in data science, and familiarise students with
the
practicalities of working with various kinds of
data.

Learning outcomes

At the end of the course the student is
expected
to be able to
- Acquire, format, and visualize data using
Python and Pandas
- Be proficient with handling data of various
types
- Conduct web scraping and work with data APIs
- Understand signal processing and time-series
data analysis
- Analyse image data and social network graphs

Course contents

- Python and Pandas
- Visualisation
- Time series
- Images as data
- Graphs

Prerequisites and co-requisites

Good programming skills

Recommended or required reading

Recommended:
- "Python for Data Analysis", Wes McKinney
(O?Reilly
Media)
- Pandas documentation
http://pandas.pydata.org/ External link

Study activities

  • Lectures - 36 hours
  • Project- and production work/artistic activities - 37 hours
  • Individual studies - 20 hours
  • Internet-based studies - 10 hours

Workload

  • Total workload of the course: 103 hours
  • Of which autonomous studies: 103 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Assessment requirements

To pass the course students should complete weekly
homework assignments (late delivery will reduce
grade)

Teacher

  • Biström Dennis
  • Karlsson Jonny

Examiner

Biström Dennis

Group size

No limit (28 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2019-08-12 to 2019-09-08

Assessment methods

Date will be announced later - Other assignments

Room reservations
Date Time Room Title Description Organizer
2019-10-02 12:30 - 16:30 F365 Databearbetning Biström Dennis
2019-10-04 09:00 - 13:00 F365 Databearbetning Biström Dennis
2019-10-07 12:30 - 16:30 F365 Databearbetning Biström Dennis
2019-10-08 12:30 - 16:30 F365 Databearbetning Biström Dennis
2019-10-14 12:30 - 16:30 F365 Databearbetning Biström Dennis
2019-10-15 12:30 - 16:30 F365 Databearbetning Biström Dennis
2019-10-23 09:00 - 13:00 F365 Databearbetning Biström Dennis
2019-10-24 09:00 - 13:00 F365 Databearbetning Biström Dennis

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