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

You are familiar with some scientifically or technically demanding topic.

Credits: 5

Schedule: 15.01.2021 - 09.04.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Petri Vuorimaa

Teacher in charge (applies in this implementation): Christian Guckelsberger, Anna Kantosalo, Tapio Takala

Contact information for the course (valid 11.12.2020-21.12.2112):Anna Kantosalo (anna.kantosalo @ aalto.fi)
Christian Guckelsberger (christian.guckelsberger @ aalto.fi)
Tapio Takala (tapio.takala @ aalto.fi)

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    This course has a varying topic. The content of the course is a selected current topic areas in communication, computer and information sciences. When arranged, the course may be given in English. Information about the arrangement and the beginning of the course will be published in the web pages.

  • Applies in this implementation:

    The goal of the course is to introduce the participants to computational creativity, a subfield of artificial intelligence that is concerned with the philosophy, science and engineering of creativity in computational systems. The course covers the principles of the field, including what is computational creativity, how to drive and evaluate it, and why creative autonomy is essential. It  will moreover provide an overview of a wide range of application domains such as linguistic creativity, musical creativity, and human-computer co-creativity. Further topics will be custom-tailored to the interests of the participants.

    During the course participants will practise scientific writing and how to find novel research. Each participant will write an essay on one computational creativity related subject starting from the papers provided. The essay is worked upon iteratively during the course. Each participant will give a presentation on their topic based on their essay at the end of the course.

    After the course, the student will:

    • Be familiar with the key concepts in computational creativity
    • Understand what kind of questions computational creativity addresses
    • Be able to analyse and discuss creative artificial intelligence systems

    Contact Anna Kantosalo (anna.kantosalo(at)aalto.fi) on questions regarding the course. Other teaching staff: professor Tapio Takala & Christian Guckelsberger.


Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Announced later.

  • Applies in this implementation:

    0-5

    The course consists of three multi-part assignments:
    Essay: 15+15+30 = 60 points
    Presentation: 10+10 = 20 points
    Peer feedback: 10+10 = 10 points

    Maximum amount of points 100, minimum of 50 points and 1 point per assignment required to pass.

Workload
  • Applies in this implementation:

    A sample distribution of time allocated for different tasks using the credit system. 5 credits in total are awarded for the course, corresponding to an approximate of 135 hours of work. Partial credits will not be awarded for completing subtasks, but the course will need to be completed in full to get 5 credits.

    Attending and preparing for lectures 1 credit (27 hours)
    Essay 2,5 credits (67,5 hours)
    Peer feedback 0,5 credit (13,5 hours)
    Preparing presentation 1 credit (27 hours)


DETAILS

Study Material
  • Applies in this implementation:

    Materials will be provided during the course.

SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Further Information
  • Valid 01.08.2020-31.07.2022:

    The content of the course varies.

  • Applies in this implementation:

    Important dates:

    • Deadline for essay outlines: 12.02.2021

    • Deadline for first full drafts of essays: 26.02.2021

    • Deadline for final essays: 09.04.2021

    • Deadline for presentation slides: One week before your presentation.


Details on the schedule
  • Applies in this implementation:

    Initial plan for period III:

    Fri 15.01.2021 at 12:15 - 14:00, Online         Lecture 1: Introduction to the course, topic assignment

    Fri 22.01.2021 at 12:15 - 14:00, Online         Lecture 2: Introduction to Computational Creativity

    Fri 29.01.2021 at 12:15 - 14:00, Online         Lecture 3: Generation in Computational Creativity

    Fri 05.02.2021 at 12:15 - 14:00, Online         Lecture 4: Evaluation in Computational Creativity

    Fri 12.02.2021 at 12:15 - 14:00, Online         Lecture 5: Creative Autonomy

    Fri 12.02.2021 at 23:59                                 Deadline: Essay outlines

    Fri 19.02.2021 at 12:15 - 14:00, Online         Lecture 6 (Zoom groups): Peer feedback session

    Fri 26.02.2021 at 23:59                                 Deadline: first full version of Essay


    Initial plan for period IV:

    The course continues to meet once a week for five weeks. During each lecture we have 2-3 student presentations, short peer feedback and discussion. Return the slides for your presentation one week before your turn for teacher feedback.

    Fri 05.03.2021 at 12:15 - 14:00, Online         Student presentations

    Fri 12.03.2021 at 12:15 - 14:00, Online         Student presentations

    Fri 19.03.2021 at 12:15 - 14:00, Online         Student presentations

    Fri 26.03.2021 at 12:15 - 14:00, Online         Student presentations

    Fri 02.04.2021 at 12:15 - 14:00, Online         Student presentations

    Fri 09.04.2021 at 23:59                                 Deadline: final version of Essay