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Mind and Machine - Period 3
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Neuroscience
Instruction in: English
Course Code: AB_1060
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Two years of study at bachelor's level. Basic knowledge of neurobiology.
DESCRIPTION
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.
Vrije Universiteit Amsterdam (VU Amsterdam) awards credits based on the ECTS system. Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
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.
Vrije Universiteit Amsterdam (VU Amsterdam) awards credits based on the ECTS system. Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
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