HON2200 ¨C Data-driven projects

Course content

This course begins with a review of key concepts within statistics, data processing in Python, and digital ethics. Topics include linear and logistic regression, statistical tests, visualization of datasets, and fairness and innovation in a society dominated by artificial intelligence (AI).

The main part of the subject is an interdisciplinary project in data processing, where the collection and analysis of data informs an ethical and social science discussion. To address this challenge, students from different fields of study will be grouped together in teams.

Learning outcome

After completing the course you:

• understand and apply key concepts of statistics
• understand, process, analyse and visualise datasets of moderate size in an informed manner, as well as draw verifiable conclusions.?
• assess ethical challenges associated with the use of various types of AI algorithms in a systematic and rigorous manner
• recognise how the origin of a dataset imposes limitations on its use.?
• work on projects in an interdisciplinary team and communicate the work and conclusions both in writing/digitally and orally.

Admission to the course

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.

This course is only available for students with admission to the bachelor's programme Honours-programmet (bachelor)

Formal prerequisite knowledge

• HON1000 ¨C Cross-Disciplinary Thematic Focus for Honours Students?
• HON2110 ¨C Innf?ring i algoritmisk tenkning for honours-studenter or
• HON2120 ¨C Innf?ring i tverrfaglige forskningsmetoder for honours-studenter?

Teaching

• The course is taught over one semester with weekly two-hour seminars.

This course has one mandatory assignment that must be handed in and approved before you can sit the final exam.

Examination

• ?Portfolio examination consisting of a project assignment to be submitted in two rounds and presented orally.?

Both of the submissions of the project assignment, as well as the presentation, must be passed in order to pass the course.?

This course has mandatory exercises that must be approved before you can sit the final?exam

Language of examination

The examination text is given in Norwegian. You may submit your response in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about?the grading system.

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.

More about examinations at UiO

• Use of sources and citations
• Special exam arrangements due to individual needs
• Withdrawal from an exam
• Illness at exams / postponed exams
• Explanation of grades and appeals
• Resitting an exam
• Cheating/attempted cheating

You will find further guides and resources at the web page on examinations at UiO.