Syllabus

LEARNING OUTCOMES

On successful completion of this course, students will be able to:

• Understand how common AI algorithms & tools work on an intuitive, non-mathematical level, based on visualizations and practical experiments.
• Understand what the tools can be used for in context of art, media, and design.
• Process and/or generate images, audio, and/or text using AI and machine learning tools such as Tensorflow, PyTorch, Jupyter Notebooks, Unity Machine Learning Agents
• Continue learning and experimentation independently

For more details, see the full syllabus, code examples, and exercises at https://github.com/PerttuHamalainen/MediaAI/tree/master/Lessons (updated continuously), and follow the course Twitter feed: https://twitter.com/aaltomediaai

Credits: 3

Schedule: 01.02.2022 - 18.02.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Perttu Hämäläinen

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:

  This is a hands-on, project-based crash course on deep learning and other AI techniques for people with only few technical prerequisites:

  • Basic programming skills (e.g., some python, processing, or Unity C#)
  • Basic high-school math. We focus on visual explanations that are enough to understand why and how various AI methods work.

  The focus is on media processing and games, which makes this particularly suitable for artists and designers.

  The lessons and materials comprise three parts:

  • Lectures
  • Software examples
  • Exercises that require you to modify the sofware examples to test your learning. We always try to provide both easy and advanced exercises to cater for different skill levels. Model solutions are provided for the easier ones, but some of the advanced exercises are left to the students and can also work as final project topics.

  Full syllabus and materials (updated for each run of the course):

  https://github.com/PerttuHamalainen/MediaAI

  Links and resources (updated continuously):

  https://twitter.com/aaltomediaai

   

Assessment Methods and Criteria

• valid for whole curriculum period:

  This is a pass/fail course, as students come from highly varying backgrounds and considerable freedom is given for selecting the final project topics. Thus, it is challenging to establish objective criteria for numerical grading.

  Extra credits can be gained based on time spent on the final project.

Workload

• valid for whole curriculum period:

  In class: Lectures, programming and media generation/processing exercises (36h).

  Individually: final project. Note: if you do an ambitious project, it is possible to gain more credits using the Game Study Project course code.

DETAILS

Study Material

• valid for whole curriculum period:

  Full syllabus and materials (updated for each run of the course):

  https://github.com/PerttuHamalainen/MediaAI

  Links and resources (updated continuously):

  https://twitter.com/aaltomediaai

   

   

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Period:

  2020-2021

  (2021, 2022) - No teaching

  Course Homepage: https://mycourses.aalto.fi/course/search.php?search=DOM-E514101

  Registration for Courses: Sisu replaces Oodi on 9 August, 2021. Priority order to courses is according to the order of priority decided by the Academic committee for School of Arts, Design and Architecture: https://www.aalto.fi/en/services/registering-to-courses-and-the-order-of-priority-in-aalto-arts

  In Weboodi, at the latest one week before the course starts.

  The order of priority for admitting students to courses at Aalto ARTS 1.1.2018 onwards (approved by The Committee of Arts, Design and Architecture on 10.10.2017)

  The order of priority is as follows:

  1. students for whom the course is compulsory for their major/programme and who have scheduled it for the current academic year in their personal study plan (HOPS);
  2. exchange students for whom the course is a part of his/her officially approved learning agreement and scheduled to be taken during the current semester;
  3. students for whom the course is compulsory for their major/programme and who have not completed it yet;
  4. students, for whom the course is part of his/her major s or programme s alternative studies and has been scheduled in the student's PSP (HOPS) for the current academic year
  5. students, for whom the course is part of his/her major s or programme s alternative studies and who have not completed the requisite number of credits for alternative studies yet;
  6. students for whom the course is compulsory for their minor;
  7. students, for whom the course is part of his/her minor subject s alternative studies and who have not completed the requisite number of credits for alternative studies yet;
  8. students who have applied for the course through a student mobility scheme (internal mobility within Aalto University, flexible study right (JOO) studies etc.);
  9. other students.

   

  Courses that are intended to be multidisciplinary (e.g. UWAS courses) may apply an order of priority based on the learning outcomes of the course, while bearing in mind the university obligation of enabling students to complete their degrees within the normative duration of study set for the degree. The order of priority does not apply to courses organised by the Centre for General Studies or doctoral courses.

  This decision on the order of priority does not influence the right of the teacher to define prerequisites for the course.

Description