BIB2740 Literature and reading Course description

Emnet gir en innføring i samtidslitteraturen og dens rolle i offentligheten så vel som for den enkelte leser i hennes livsverden. Formidling forstås innenfor emnet som praktisk erfaringsbasert kunnskap, avhengig av vurderingskompetanse og forståelse for litteraturens funksjoner og virkninger på individ og i samfunn. Emnet kombinerer formidlings- og litteraturteoretiske perspektiv med praktisk øvelse i ulike formidlingsformer. Fokus er på den aktuelle litteraturen i Skandinavia, men det åpner seg også mot verden. Emnet inkluderer både norsk og oversatt litteratur; skjønnlitteratur og sakprosa, så vel som film og bildekunst. Både formidlingshandlingen og litteraturen diskuteres med utgangspunkt i estetiske, litteratursosiologiske, mediekulturelle og etiske problemstillinger. Et viktig siktemål for undervisningen er å sette samtidslitteraturen i sammenheng med historien, så vel som aktuelle litterære, kulturelle og politiske tendenser og debatter.

BIB2710 Kultur- og litteraturformidling

Ingen forkunnskapskrav.

This course is an introduction to principles of Python Programming and Data Science.

Most journalists do not have a solid quantitative background\and face difficulties when analysing data independently. This difficulty represents a major drawback in journalistic research. Journalists waste time learning analytical methods by themselves that could be more quickly learned with proper instruction and support. As consequence, the quality of insights and research productivity suffer. This course provides a comprehensive introduction to data science and big data applied to investigative journalism.

One of the skills that are crucial for implementing and conducting Data Science projects is the knowledge of programming. This course focuses on the development of basic programming techniques, analytical thinking, comprehension of code, and problem-solving skills achieved through a programming-based approach. It aims to develop basic programming skills relevant for professional use within the realm of journalism.

The content is designed to train the participants in state-of-the-art techniques in data analysis. This will enable the students to interact independently with the data and draw insights from them. This is a hands-on course where the students will learn from implementing the analysis themselves with close supervision. The course will focus on case studies using data from real cases; advanced students may choose to use their own data. The students will develop understanding through constant presentation of their work and dialectical reflection over their choices, results, and interpretations.

Language of instruction is English.

None.

For å kunne framstille seg til eksamen må studenten ha følgende godkjente arbeidskrav:

• Arbeidskrav 1: En praktisk muntlig formidlingsoppgave internt ved utdanningen (bokprat, panelsamtale, diskusjon om samtidslitteraturen eller lignende). Oppgaven løses i gruppe. Arbeidskravet skal ledsages av en individuell skriftlig kommentar (1-2 sider) til en av pensumtekstene.
• Arbeidskrav 2: Planlegge og gjennomføre et formidlingsarrangement på et bibliotek eller en annen arena, i gruppe. Det skal skrives en kort felles rapport om formidlingsoppgaven (1-2 sider).  

Arbeidskravene må være gjennomført og godkjent innen fastlagt frist for at studenten skal kunne framstille seg til eksamen. Dersom ett eller flere arbeidskrav ikke blir godkjent gis det anledning til å kunne levere en forbedret versjon én gang innen angitt frist.

Eksamen i emnet er en muntlig eksamen. Eksaminering i ca. 20 - 25 minutter på grunnlag av pensum og en forberedt oppgave. 

The course is assembly-based, encompassing two full day gatherings that necessitate in-person presence on campus, and four online gatherings.

The course will take a hands-on learning approach in addition to learning the theoretical concepts. Course participants will work in groups under guidance on a project relevant to journalism.

The following coursework requirements must have been approved for the student to take the exam

• Coursework 1: The students need to submit a project proposal in groups consisting of 2-3 students. The proposal needs to take into consideration all of the aspects covered in class regarding the planning and structuring of a data investigation. The students need to demonstrate the ability to assess where and how to collect the data, how to formulate a hypothesis to test and the capability of designing a possible data analysis pipeline including risk-mitigation strategies. The project proposal will consist of maximum 500 words.

All required coursework must be completed and approved by the given deadline for the student to take the exam. If the coursework requirements have not been approved, the student will be given one opportunity to submit an improved version by a given deadline.

The exam in the course will be carried out in groups consisting of 2-3 candidates.

For the exam, students will submit a portfolio that includes a project report and a code repository.

The project report must have a scope of 4000 to 5000 words. Font and font size: Arial / Calibri 12 points. Line spacing: 1.5.

Students awarded a fail grade are given one opportunity to submit an improved version of the portfolio for assessment.