The course is included in these curricula and study modules
The course takes place in period
1 (2021-08-01 to 2021-10-24)
Level/category
Teaching language
English
Type of course
Compulsory
Cycle/level of course
Second
Recommended year of study
1
Total number of ECTS
5 cr
Competency aims
The aim of the course is to introduce the
student to the different concepts of
implementing an analytics process. Students
learn the process of problem
solving in analytics from data understanding
and
preprocessing, through
modelling choices and implementation until the
interpretation, visualization
and utilization of the analysis. We will look
at
typical real-life
applications of analytics. The course will
provide hands-on lectures to
performing the steps of modeling and analysis.
Learning outcomes
At the end of the course the student is
expected
to be able to model
predictive time series problems that use
machine
learning for performing
regression. The student learn to implement an
analytics process for
forecasting and to validate results by
calculating forecasting errors
Course contents
This course includes topics on analytics systems,
Python development, feature
engineering, time series forecasting,
visualization, and error calculation.
Prerequisites and co-requisites
Understanding of programming.
Recommended or required reading
See literature as specified on Itslearning.
Mode of Delivery
Multiform education
Assessment requirements
To pass the course the student should pass the
following examinations:
Assignment 1 as specified in Itslearning.
Project 1 as specified in Itslearning.
The examinations contribute to the final grade
as follows:
Assignment 1 - 10%
Project 1 - 90%
Teacher
- Scherbakov-Parland Andrej
- Westerlund Magnus
Examiner
Westerlund Magnus
Home page of the course
Group size
No limit (46 students enrolled)
Assignments valid until
12 months after course has ended
Course enrolment period
2021-08-09 to 2021-09-05
Date | Time | Room | Title | Description | Organizer |
---|---|---|---|---|---|
2021-08-26 | 13:00 - 18:00 | Introduction to Analytics | Magnus Westerlund is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://arcada.zoom.us/j/64435216652?pwd=RDNpOFhGamlZbmowUDBvZXZYU1NEdz09 Meeting ID: 644 3521 6652 Passcode: 713015 Join by SIP 64435216652@109.105.112.236 64435216652@109.105.112.235 Join by H.323 109.105.112.236 109.105.112.235 Meeting ID: 644 3521 6652 Passcode: 713015 | Scherbakov-Parland Andrej Westerlund Magnus |
|
2021-08-27 | 13:00 - 18:00 | Introduction to Analytics | Magnus Westerlund is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://arcada.zoom.us/j/69374447041?pwd=aFl5L3lZU09aeGVmdEJhSjFpRVpuQT09 Meeting ID: 693 7444 7041 Passcode: 940579 Join by SIP 69374447041@109.105.112.236 69374447041@109.105.112.235 Join by H.323 109.105.112.236 109.105.112.235 Meeting ID: 693 7444 7041 Passcode: 940579 | Scherbakov-Parland Andrej Westerlund Magnus |
|
2021-09-09 | 13:00 - 18:00 | Introduction to Analytics | Scherbakov-Parland Andrej Westerlund Magnus |
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2021-09-10 | 13:00 - 18:00 | Introduction to Analytics | Scherbakov-Parland Andrej Westerlund Magnus |
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2021-09-23 | 13:00 - 18:00 | Introduction to Analytics | Scherbakov-Parland Andrej Westerlund Magnus |
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2021-09-24 | 13:00 - 18:00 | Introduction to Analytics | Scherbakov-Parland Andrej Westerlund Magnus |