Syllabus

Title
2205 Interdisziplinäres Forschungsseminar: Doing Data Science
Instructors
Univ.Prof. Dr. Nadia Abou Nabout, Univ.Prof. Dr. Kurt Hornik, Univ.Prof. Dr. Axel Polleres
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
09/01/15 to 11/01/15
Registration via LPIS
Notes to the course
Subject(s) Doctoral/PhD Programs
Dates
Day Date Time Room
Wednesday 12/09/15 01:30 PM - 05:30 PM EA.6.026
Tuesday 12/15/15 12:00 PM - 02:00 PM D3.0.233
Tuesday 12/15/15 02:00 PM - 04:00 PM TC.2.01
Thursday 01/28/16 02:00 PM - 06:00 PM TC.3.05

Contents

This course covers presentation and discussion of topics related to data science. Students are expected to work together in interdisciplinary teams and search for suitable data sets they would like to analyze during the course. Specific topics are determined in the first session and will reflect the specific needs of participants. In addition, students are expected to present chapters of the book "Doing Data Science" (http://shop.oreilly.com/product/0636920028529.do). 

Learning outcomes

This course focuses on research applying data science techniques.

Upon completion of the course participants will be able to:

  1. define a research problem that is novel, non-trivial to solve;
  2. solve the research problem using large amounts of data by applying data science methods;
  3. present results at scientific conferences. 

Teaching/learning method(s)

The course uses a combination of student presentations of group projects and book chapters ("Doing Data Science"), work in interdisciplinary teams, and joint discussion and review of journal articles relevant for data science. 

Assessment

  1. Preparation and active participation (30%): Assessment of participation in class and preparation in terms of reading preparatory materials;
  2. Presentation (50%): Quality of own presentations with regard to scientificquality and presentation skills;
  3. Reviewing others' contributions (20%): Quality of contribution in reviewingother teams' scientific work.

Prerequisites for participation and waiting lists

  • Admission to doctoral or PhD program
  • Topical fit (if in doubt, please contact one of the instructors)

Readings

1 Author: Cathy O'Neil, Rachel Schutt
Title: Doing Data Science: Straight Talk from the Frontline

Publisher: O'Reilly Media
Edition: 1
Year: 2013
Content relevant for class examination: Yes
Content relevant for diploma examination: No
Recommendation: Essential reading for all students
Type: Book

Availability of lecturer(s)

Prof. Dr. Nadia Abou Nabout; nadia.abounabout@wu.ac.at; +43 1 31336 4900

Additional (blank) field

Invitiations are being sent prior to each session.
Last edited: 2015-08-30



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