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DAT121 Introduction Course for Data Scientists

Credits (ECTS):5

Course responsible:Kristin Tøndel

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Course frequency:Annually

Nominal workload:125 hours: Lectures 13x2 hours = 26 hours, exercises under supervision 13x4 hours = 52 hours, independent study 47 hours

Teaching and exam period:This course starts in the August block. This course has teaching and evaluation during the August block.

About this course

This course provides an introduction to Data Science (data analysis methods and tools) for students in the 2-year Master of Data Science program, to prepare students from a wide range of backgrounds for the advanced courses in the master program.

Learning outcome

You will be prepared to follow 200-level courses in the Master of Data Science program, having developed sufficient compentence and skills in data analysis.
  • Learning activities
    Lectures are combined with exercises tailored to the students pre-existing skills and competences. Students will apply, test and train their skills in a data science project.
  • Teaching support
    Teaching assistants will assist and support the students.
  • Prerequisites
    Admission requirements for Master in Data Science.
  • Recommended prerequisites
    Programming equivalent to INF120.
  • Assessment method
    Portfolio examination of hand-ins. Pass/fail.

    Portfolio Grading: Passed / Not Passed
  • Examiner scheme
    The external examiner approves the setup for the portfolio evaluation of hand-ins and the examination guidelines, and evaluates the reports.
  • Mandatory activity
    Attendance at lectures and exercise sessions on at least 10 out of 14 days.
  • Teaching hours
    • Lectures: 26 hours
    • Computer exercise sessions: 52 hours
  • Preferential right
    Master in Data Science
  • Reduction of credits
    INF121, 5 credits
  • Admission requirements
    REALFAG