DAT121 Introduction Course for Data Scientists
There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.
Showing course contents for the educational year 2021 - 2022 .
Course responsible: Kristin Tøndel
ECTS credits: 5
Faculty: Faculty of Science and Technology
Teaching language: EN
Teaching exam periods:
This course starts in the August block. This course has teaching and evaluation during the August block.
Course frequency: Annually
First time: 2019H
Master in Data Science
This course provides an introduction to Data Science (data analysis methods and tools) for students in the Master of Data Science program, to prepare students from a wide range of backgrounds for the advanced courses in the master program.
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 excericses tailored to 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.
Will be announced at the beginning of the course.
Admissions requirements for Master in Data Science.
Programming equivalent to INF120.
Attendance at lectures and lab sessions on at least 10 out of 14 days.
Continuous examination of hand-ins. Pass/fail.
125 hours: lectures 14x3 hours = 42 hours, exercises under supervision 14x4 hours = 56 hours, independent study 27 hours
Special requirements in science
Reduction of credits:
INF121, 5 credits
Type of course:
- Lectures: 42 hours
- Computer exercise sessions: 56 hours
The course is only offered to students admitted to the 2-year Master in Data Science.
The external examiner approves the setup for the continuous evaluation of hand-ins and the examination guidelines, and evaluates the reports.
Examination details: Portfolio: Passed / Failed