The course takes place in period

2 (2023-10-23 to 2023-12-31)

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

In this study unit the focus lies on the following
competencies:

Competence in computer science and web-scraping
of data

Competence in processing different types of data
(image, sound)

Global goals in focus:
#3: Good health and well-being
#5: Gender equality

Learning outcomes

Upon completion of this study unit:

You understand signal processing and time series
analysis. (Knowledge)

You understand the difference between how
different types of data are stored. (Knowledge)

You can retrieve, format, process and visualize
data. (Skills)

You can do web scraping. (Skills)

You perceive the value of tabular raw data.
(Approach)

You understand the dangers and opportunities of
visualising data. (Approach)

Course contents

Python and Pandas
Visualization & Graphs
Web scraping
Time series
Images and sounds as data

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

All assignments and course projects completed,
submitted and approved.

Teacher

  • Biström Dennis
  • Karlsson Jonny

Examiner

Biström Dennis

Group size

No limit (29 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2023-10-09 to 2023-11-05

Assessment methods

Date will be announced later - Other assignments

Room reservations
Date Time Room Title Description Organizer
2023-10-26 12:15 - 15:00 F365 Databearbetning Biström Dennis
2023-10-31 12:15 - 15:00 E385 Databearbetning Biström Dennis
2023-11-07 12:15 - 15:00 F365 Databearbetning Biström Dennis
2023-11-09 12:15 - 15:00 F365 Databearbetning Biström Dennis
2023-11-14 12:15 - 15:00 E385 Databearbetning Kodtillfälle #1 Biström Dennis
2023-11-16 13:15 - 15:30 E387 Databearbetning - Biström Dennis
2023-11-20 09:15 - 11:00 F143 Sisusession för IT & Media åk 1 och 2 & MTH1 på Campus och ONLINE Detta är en hybridsession där ni lär er använda Sisu, så man kan delta endera på campus eller online. Om man deltar på campus rekommenderas att man tar egen dator med sig (en padda eller smarttelefon fungerar tyvärr inte). Sessionen ordnas av Arcadas studieärenden: sisu@arcada.fi DELTA VIA DENNA LÄNK: https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTI1NGMzNzUtNjQwYy00MmE1LWIwYTktZmY1YTZjYjkzZTE2%40thread.v2/0?context=%7b%22Tid%22%3a%2286080f64-b23d-4f93-8c43-e65f2588b9c3%22%2c%22Oid%22%3a%2295120ab9-e6c5-4d68-b283-421bbe101856%22%7d Välkomna! Ahlroth Siri
Eerola Sabina
2023-11-21 12:15 - 15:00 D399 Databearbetning Biström Dennis
2023-11-23 12:15 - 15:00 F365 Databearbetning Biström Dennis
2023-11-24 11:30 - 12:15 D4110 Studentdialog för 3:dje årets IT-studenter Utvärdering och diskussion Biström Dennis
Dayama Niraj
Grönholm Hanna
Karlsson Jonny
Kuvaja-Adolfsson Kristoffer
Scherbakov-Parland Andrej
Welander Fredrik
2023-12-07 13:15 - 15:30 E387 Databearbetning - Biström Dennis
2023-12-08 11:30 - 15:00 B320 IA - Thesis Forum Biström Dennis
Karlsson Jonny
Scherbakov-Parland Andrej
Welander Fredrik
Westerlund Magnus
2023-12-12 12:15 - 15:00 F365 Databearbetning Kodtillfälle #2 Biström Dennis
2023-12-13 13:00 - 15:45 Databearbetning Glögg på Cornern Biström Dennis

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