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Introduction to Computer Science at Vrije Universiteit Amsterdam

This course offers an overview of computer science topics through lectures, working groups, and presentations. Students will enhance reading, critical thinking, and discussing skills. Topics include computer security, e-Science, bioinformatics, and more, providing insights into academic research in the field. Attendance and participation are essential for successful completion.

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Introduction to Computer Science at Vrije Universiteit Amsterdam

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  1. Introduction Computer ScienceHenri BalVrije Universiteit Amsterdam

  2. Goals of this course • Understand typical Computer Science topics • Meet with students and some staff members • Develop skills: • Reading (English) scientific literature • Critical/analytical thinking about CS topics • Discussing • Presenting

  3. Structure • Tuesdays: guest lectures • Working groups • ~3 students per group present scientific papers • Other students read 1 paper & answer questions • Each group discusses papers + questions

  4. Topics (Tuesday lectures) • Computer Security (Herbert Bos & Kaveh Razavi) • Massivizing Computer Systems (Alexandru Iosup) • e-Science infrastructures (Paola Grosso) • Bioinformatics (Jaap Heringa) • e-Health (Aart van Halteren) • Watson (Chris Welty, with AI & IS students) 9 Oct • NS-smartwatch (Huub van der Wouden &Jolanda Cronemberger Sousa, with IS students)

  5. Working Groups • Supervised by staff members (instructors) • First meeting: • Instructors give introduction and discuss the schedule • Instructions on Canvas how to indicate your preferences • Other 6 meetings: • 3 students present/discuss papers • Course material + group composition on Canvas • Room number: see your VU calendar • For problems, ask George Karlos: g.karlos@vu.nl • Pay attention to announcements on Canvas

  6. Your tasks • Attend Tuesday lectures • Mandatory, presence will be monitored • Read 1 paper per week in detail; answer questions on Canvas, prepare new questions for the class discussion • Give 1 presentation in a working group • Make slides, give short presentation • Groups with >18 students may use duo-presentations • Participate in working group discussions • Grading: pass or fail (no numerical grade) • Sufficient: attendance, participation & presentation

  7. Relevance to the CS program • Illustrates what academic research in Computer Science is about • Gives a selection of current research topics • Many topics come back later in ourBachelor or Master programs: • eScience Infrastructure → Networking course • eHealth → Ba Artificial Intelligence • Computer Systems Security → MSc track • Watson → Artificial Intelligence courses + MSc • Bioinformatics → Bioinformatics MSc program

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