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.
- 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 assistants will assist and support the students.
- Admission requirements for Master in Data Science.
- Programming equivalent to INF120.
- Portfolio examination of hand-ins. Pass/fail.
Portfolio Grading: Passed / Not Passed - The external examiner approves the setup for the portfolio evaluation of hand-ins and the examination guidelines, and evaluates the reports.
- Attendance at lectures and exercise sessions on at least 10 out of 14 days.
- Lectures: 26 hours
- Computer exercise sessions: 52 hours
- Master in Data Science
- INF121, 5 credits
- REALFAG