Mind and Machine

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Mind and Machine

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Computer Engineering, Computer Science, Ethics, Neuroscience

  • Language Level

    Taught In English

  • Prerequisites

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators. We advise each institution to have their own credentials evaluator make the final decision regarding course levels.

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Course Objective

    To introduce the students to the basic principles of brain modelling, artificial intelligence, and brain computer interfacing, discussing the practical applications as well as the ethical, moral, and philosophical aspects. Specifically, at the end of the course the student should be able to: 1. explain the meaning of key concepts treated in the course and to give examples of where key concepts are already applied (services or products). 2. describe most commonly used forms of, as well as recent trends in, brain modeling, AI and BCI as discussed in the course. 3. reproduce the underlying principles of brain modelling, AI and BCI at the level discussed in the course. 4. develop, present and defend a business proposal, i.e., an idea for a product or service that exploits the technologies and concepts presented
    in the course. 5. formulate a scientifically informed opinion about the ethical aspects of AI and BCI.

    Course Content

    What is intelligence and what is unique about human intelligence? People have always been fascinated with the idea to create intelligent computers and robots and to integrate computers in the brain to enhance its performance. In recent years these technologies have become so advanced that they become more and more present in our daily live, from the personal assistant in your smart phone, to smart software in self-driving cars, to portable EEG headsets. Many see this as the start of a new era where smart machines will be completely integrated in our society, taking over many tasks and services now still done by humans. More dystopian views on the integration of human and machine are shown in science fiction films and series like Terminator 3 and Black Mirror. This has led to the realization that intelligence is not unique to humans but can exist in machines, and forces us to reflect on whether computers could ever reach or surpass human level intelligence, or merge with biological brains, and if the brain can be of inspiration to improve Artificial Intelligence (AI).
    In this course, the basic principles of brain inspired artificial intelligence, realistic computer simulations of the brain, and brain-computer interfacing (BCI) will be discussed. To investigate one of these topics in more detail students work in groups to start their own virtual start-up company and prepare a business proposal in which they describe a new commercial application of artificial intelligence or brain computer interfacing. The business project is presented to peers and a reviewer during a poster session at the end of the course. In addition, students will gain hands-on experience in computer practicals and an EEG-based neurofeedback competition, and discuss the ethical, moral, and philosophical aspects of artificial intelligence and brain-computer-interfacing.
    Disclamer: this course is aimed at students without a background in computer science or AI. It will cover general concepts of AI and BCI, and their impact on society, rather than an in-depth discussion of all technological details.

    Teaching Methods

    Lectures 35 hrs
    Practicals 8 hrs
    Business project 60 hrs

    Method of Assessment

    Exam 50%
    Business project 40%
    Discussion 10%
    For all three sub-grades a grade ≥ 5.5 must be obtained. It is not possible to compensate.

    Entry Requirements

    This course is part of the minor Brain and Mind. University students need at least 90 ECTS to be eligible for (courses in) this minor. HBO students can follow (courses in) this minor if they have at least 120 ETCS.

    Additional Information

    Part of minor Brain and Mind. This minor course requires a minimum of 25 participants to take place. Central Academic Skills: Creative thinking to apply learned knowledge in the design and development of a product or service in the field of mind and machine. Reflecting on acquired knowledge during the course to discuss ethical and philosophical implications.

    Recommended background knowledge

    Two years of study at bachelor’s level. Basic knowledge of neurobiology.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Some courses may require additional fees.

X

This site uses cookies to store information on your computer. Some are essential to make our site work; others help us improve the user experience. By using the site, you consent to the placement of these cookies.

Read our Privacy Policy to learn more.

Confirm