STKD6060 Research Methods in Data Science Emneplan

What is Data Science, how do we approach problems in Data Science and how can Data Science contribute towards a sustainable future? In this course, we will try to answer these questions. Initially, we will briefly discuss some common ideas we may have about what science is and how we do scientific research. What makes a research method suitable or not suitable? Focusing on specific cases, we will consider successes and disasters in the history of Data Science, with different protagonists, some working at research centers, others in the industry and the business sector.

We will teach the rules, methods and limits of Data Science as well as how to apply them to real world challenges. For example, for predicting the likelihood of the end of virus pandemics or of the next financial crisis, for approaching a sustainable future with renewable energy and for improving the knowledge of our brain.

The course is designed for both students working towards an academic research career, as well as for students aiming at the industry and business sector, where skills in data science are important.

Emnet er en grunnleggende praktisk og teoretisk innføring i medieproduksjon, digitale bilder, bruk av sosiale medier som kommunikasjonsverktøy, samt video- og lydproduksjon.

Emnet gis i samarbeid med Medieseksjonen ved OsloMet.

Undervisningsspråk er norsk.

One half year of university studies (30 ECTS), in addition to the international summer schools general requirement. The requirement needs to be met by the application deadline.

This course will feature lectures and lab work to provide both theoretical and hands-on content. Students will work in groups of up to five students or individually to complete assignments given to them. The students will supplement the lectures and lab with their own reading. All classes are prepared to be taught on campus, but can be moved online at the discretion of the instructor.;

The following coursework is compulsory and must be approved before the student can take the exam:

Students will select a research paper of their preference from a list of papers, or chosen by them (under the guidance of the teacher), and study it carefully according to the contents learned in the theoretical classes.

The examination will evaluate how well is the student able to explain the content of a research paper, particularly in what concerns the identification of its most important parts (research problem, methods and take-home messages) as well as a critical view on the paper. To this end, the examination will be done in two steps:

• An individual oral exam where the student presents a critical perspective of his/her selected article, out from a list of articles provided at the beginning of the semester, presenting the main content of the paper. For the oral presentation the student may use slides, notes or other material, but should be able to show acquaintance on the matters he/she is presenting as well as some knowledge about the technical details behind the main content. The oral examination counts for 50% of the final grade.
• An individual written summary with 1 to 2 pages (weight=50%) on the selected article, where the student should prove his/her ability in extracting what is fundamental in the paper, separating it from complementary details.

Each exam must be assessed to E or better for the course as a whole to be given a final grade.

All support materials are allowed for both the oral presentation and for the individual written summary.

The final assessment will be graded on a grading scale from A to E (A is the highest grade and E the lowest) and F for fail.

Two examiners will be used, one of which can be external. External examiner is used regularly.

It is recommended to have completed one full year of university studies (60 ECTS) before the program starts. Basic algebra, basic mathematical analysis and statistics are highly recommended, though a short overview on the fundamentals of these two disciplines will be provided. The course will have a practical part using codes in python. Acquaintance with python programming is not required, but some experience with a similar programming language is recommended.

Ingen forkunnskapskrav