The course is included in these curricula and study modules

The course takes place in period

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

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

3

Total number of ECTS

5 cr

Competency aims

Within this study unit we will focus on the
following competences:

Service-oriented architectures and analytical
methods

Web and visualization

SDG's in focus:
#4: Quality education
#9: Industry, innovation and infrastructure

Learning outcomes

Upon completion of the study unit:

You have an understanding of visual data analysis
and how it can be used in analytics. (Knowledge)

You learn to perform pattern detection and various
forms of interpretation using visualisation.
(Skills)

You can apply modern programming languages and
biology techniques for data visualisation.
(Skills)

You have a practical understanding of the role of
data visualization in analytics. (Approach)

Prerequisites and co-requisites

Data structures and algorithms
Web development
Front-End programming
Data visualization

Study activities

  • Lectures - 42 hours
  • Project- and production work/artistic activities - 93 hours

Workload

  • Total workload of the course: 135 hours
  • Of which autonomous studies: 135 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Project work and
presentation

Teacher

Dayama Niraj

Examiner

Dayama Niraj

Home page of the course

Group size

No limit (30 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
2023-10-23 12:00 - 14:00 F365 Design av analytiska system Dayama Niraj
2023-10-24 09:30 - 12:30 F365 Design av analytiska system Dayama Niraj
2023-11-01 13:00 - 15:00 F365 Design av analytiska system Dayama Niraj
2023-11-02 09:15 - 11:15 F365 Design av analytiska system Dayama Niraj
2023-11-08 10:30 - 12:30 F365 Design av analytiska system Dayama Niraj
2023-11-09 09:00 - 11:00 E385 Design av analytiska system Dayama Niraj
2023-11-13 13:00 - 15:00 E385 Design av analytiska system Dayama Niraj
2023-11-16 10:15 - 12:15 E385 Design av analytiska system Dayama Niraj
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
2023-11-23 09:15 - 11:15 E385 Design av analytiska system Dayama Niraj
2023-11-24 09:15 - 11:15 F365 Design av analytiska system Dayama Niraj
2023-11-28 09:15 - 11:15 E385 Design av analytiska system Dayama Niraj
2023-12-08 09:15 - 11:15 E385 Design av analytiska system Dayama Niraj
2023-12-11 13:30 - 15:30 Z003 Design av analytiska system Zoom Dayama Niraj
2023-12-14 09:15 - 11:15 Z003 Design av analytiska system Zoom Dayama Niraj

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