EPN-V2

JB1650 Lokale journalister i en global verden Emneplan

Engelsk emnenavn
Local Journalists in a Global World
Omfang
10.0 stp.
Studieår
2025/2026
Emnehistorikk
Timeplan
  • Innledning

    No formal requirements over and above the admission requirements.

  • Forkunnskapskrav

    Emnet JB1620 Nyhetsjournalisten i arbeid - intern praksis må være bestått.

  • Læringsutbytte

    A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills, and general competence.

    Knowledge:

    The student:

    • Is familiar with the main principles in AI and has a practical understanding of the development and use of AI and ML.
    • Has an understanding of the current application areas of AI and in particular for solving Robotics and Control problems.

    Skills:

    The student:

    • Has the theoretical and practical skills required to build simple ML models.
    • Is familiar with Supervised-, Unsupervised-, and Reinforcement Learning ML methods, and their use in Robotics and Control.
    • Can apply a variety of state-of-the-art ML methods in different Robotics and Control applications such as: machine vision, perception, inverse kinematics, navigation, reasoning, learning, fault detection and diagnostics, process control, condition monitoring, and many more.
    • Is able to solve real-world problems using ML and AI.
    • Can evaluate the technical quality and practical value of various types of ML, and AI more general, for problem solving in Robotics and Control.

    General competence:

    The student:

    • Has both theoretical and practical understanding of ML methods
    • Can apply ML, and AI in general, to engineering and automation problems.
    • Can discuss the relevance, strengths, and limitations of the different ML methods, and can mutually compare them to choose the appropriate method for the problem at hand.
    • Can discuss and evaluate the viability and prospects of AI-driven automation and robotics.
    • Can reflect on the practical, social, and ethical implications of AI in our society.
  • Arbeids- og undervisningsformer

    The first part of the course (nine weeks) comprises a series of whole-day lecture seminars. Students are expected to play an active role. Lecture seminars start with a lecture that introduces the topic and are followed by hands-on exercises in class.

    The second part of the course (nine weeks) is a Robotics and Control project in groups of 1-3 students.

    The course is completed by the students submitting a report and giving a presentation of their work.

  • Arbeidskrav og obligatoriske aktiviteter

    One obligatory submission.

  • Vurdering og eksamen

    Exam in two parts:

    1. Project report done individually or in groups of 2-3 students. The total length of the report should be around 15 pages, or between 5000-15000 words, each student contributing with 5000-7500 words (80% of the final grade)

    2. Oral project presentation (30 minutes if a group; 20 minutes if individual) (20% of the final grade)

    Both exams must be passed in order to pass the course. The oral examination cannot be appealed

    New/postponed exam

    In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

  • Hjelpemidler ved eksamen

    All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

  • Vurderingsuttrykk

    Grade scale A-F.

  • Sensorordning

    Two internal examiners. External examiner is used periodically.

  • Emneansvarlig

    Professor Evi Zouganeli