The course takes place in period

1 (2021-08-01 to 2021-10-24)

Level/category

Professional studies

Teaching language

Swedish

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

4

Total number of ECTS

5 cr

Competency aims

The aim of this course is to provide the students
with knowledge about thoughtful, responsible,
and ethical uses of machine learning practice,
which is a fundamental precondition to
trustworthy development of AI. Recommendation
engines, which simultaneously shape and predict
the future in nearly all parts of the human life,
will be the main use case during the course.

Learning outcomes

At the end of the course the student is expected
to have an understanding of the techniques
behind automated decision making systems related
to common ML practice using Python,
combined with the skill to judge if the decision
seems reasonable or not. The students will have a
detailed and holistic knowledge about the
concerns and issues regarding algorithmic
decision
making and how to address them.

Course contents

  • Limitations of AI
  • Algorithmic Bias
  • Recommender systems

Prerequisites and co-requisites

IA-2-020 - Predictive analytics

Recommended or required reading

?Real World AI: A Practical Guide for Responsible
Machine Learning? Alyssa Simpson
Rochwerger, Wilson Pang, Lioncrest Publishing,
March 5, 2021

?Recommendation Engines?, Michael Schrage, MIT
Press Essential Knowledge, September 1,
2020

Study activities

  • Lectures - 28 hours
  • Practical exercises - 30 hours
  • Project- and production work/artistic activities - 50 hours
  • Individual studies - 27 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

Essays, reports, productions and portfolio

Assessment requirements

Exam: 35p
At the end of the course there will be an exam
about the content learnt.

Final Project: 65p
To pass the course the student should, during the
project work, show why and how automated decision
making is designed and which potential issues and
challenges may come with it. The use case will be
a recommender system.

Extra points: 50p/nr. of groups
Presenting own decision tree example results using
normal and biased dataset.

GRADING:
94-100p = 5
88-93p = 4
82-87p = 3
76-81p = 2
70-75p = 1

Teacher

  • Becker Sandra
  • Karlsson Jonny
  • Scherbakov-Parland Andrej

Examiner

Karlsson Jonny

Group size

No limit (43 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2021-08-09 to 2021-09-05

Assessment methods

Date will be announced later - Reports and productions

Room reservations
Date Time Room Title Description Organizer
2021-09-16 13:15 - 14:15 B320 StageZero: Gästföreläsning om AI Branchen Karlsson Jonny
2021-09-21 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej
2021-09-27 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej
2021-09-28 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej
2021-10-04 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej
2021-10-05 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej
2021-10-11 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej
2021-10-12 13:00 - 17:00 Beslutsstödsystem och verifikation FÖRELÄSNINGEN HÅLLS I ZOOM: https://arcada.zoom.us/j/63494097205?pwd=QWtGRjJ0UFdqcTl6ZW56RTRwMzhZUT09 (Meeting ID: 634 9409 7205, Passcode: 455266) Becker Sandra
Scherbakov-Parland Andrej

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