CS-EV0008 - Algorithmic Systems and Society, Lectures, 4.9.2023-11.10.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Student can separate the roles of humans, code and data in algorithmic systems and recognise how they form assemblages.
Student can contrast the benefits and challenges algorithmic systems have across at least two application domains in the society.
Students can contrast different methodological choices to study algorithmic systems.
Student can compose a research protocol to evaluate the societal impact of algorithmic systems.
Students can describe how societal contexts, such as Nordicness, impacts algorithmic systems.

Credits: 5

Schedule: 04.09.2023 - 11.10.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Matti Nelimarkka

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    Course introduces the concept of algorithmic system, and use it to tease out different perspectives on algorithmic systems and their societal impact. Course examines different methodological opportunities to study algorithmic systems and gives student hands-on experience in using those, including systematic examination of their benefits and limitations. Course focuses on the impact societal context has on the debate of algorithmic systems.

  • applies in this implementation

    Please see public online syllabus for details https://opetus.mante.li/algorithmicsystems/

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Assigned exercises are each evaluated and contribute towards the grade. Learning diary is evaluated against learning objectives

Workload

  • valid for whole curriculum period:

    Lectures, assigned exercises and learning diary

DETAILS

Study Material

  • valid for whole curriculum period:

    Assigned by the teacher for each course instance.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching language: English

    Period: 2023-2024 Autumn I

    Registration: The number of students is limited to 25. Priority is given to Information Networks students.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof