Course code DAT121

DAT121 Introduction Course for Data Scientists

Norsk emneinformasjon

Search for other courses here

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
(NO=norsk, EN=Engelsk)
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: Study year 2019-2020
Preferential right:
Master in Data Science
Course contents:
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.
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 excericses tailored to 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.
Will be announced at the beginning of the course.
Admissions requirements for Master in Data Science.
Recommended prerequisites:
Programming equivalent to INF120.
Mandatory activity:
Attendance at lectures and lab sessions on at least 10 out of 14 days.
Continuous examination of hand-ins. Pass/fail.
Nominal workload:
125 hours: lectures 14x3 hours = 42 hours, exercises under supervision 14x4 hours = 56 hours, independent study 27 hours
Entrance requirements:
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 / Not Passed