STK-INF3000 - Selected Topics in Data Science
Schedule, syllabus and examination date
The course provides insight into selected contemporary relevant topics within Data Science. Students gain practical experience with data analysis and industry relevant algorithms and technologies for data analysis. Course content follows developments in the field.
After completing the course you have:
- General overview of the most contemporary relevant and industry relevant technologies and methods in Data Science.
- Theoretical knowledge and practical experience in data analysis and applied statistics.
- Experience with the use of distributed systems for storage and / or processing.
- Expertise to carry out a real project in data analysis, from data collection to data-driven decision-making guidance.
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Formal prerequisite knowledge
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
One of these:
- Mathematics R1
- Mathematics (S1+S2)
And and in addition one of these:
- Mathematics (R1+R2)
- Physics (1+2)
- Chemistry (1+2)
- Biology (1+2)
- Information technology (1+2)
- Geosciences (1+2)
- Technology and theories of research (1+2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).
Recommended previous knowledge
- INF1000 - Introduction to object-oriented programming / INF1100 - Introduction to programming with scientific applications,
- INF2220 - Algorithms and data structures
and / or:
- STK1100 - Probability and statistical modelling,
- STK1110 - Statistical methods and data analysis 1,
- STK2100 - Machine learning and statistical methods for prediction and classification / STK2120 - Statistical Methods and Data Analysis 2 (discontinued),
- STK3100 - Introduction to generalized linear models
10 credits overlap with STK-INF3000 - Selected Topics in Data Science
3 hours of lectures, 2 hours of open group and oracle services when needed.
Mandatory project tasks and assignments / presentations.
A project which counts 60% and a final exam counts 40%. Both parts must be passed and in the same semester. In order to sit the exam, all the compulsory assignments in the subject must be approved.
Final exam: Project and oral or written exam. Settled by February 15th.
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed exam at the beginning of the next semester.
New examinations are offered at the beginning of the next semester for students who do not successfully complete the exam during the previous semester.
We do not offer a re-scheduled exam for students who withdraw during the exam.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.