Tweedejaarsproject BSc KI

Second Year Project Artificial Intelligence

Studiewijzer 2024/2025

Globale inhoud

In this course, students will work on an AI-related project in a small group. In order to foster interaction with the "outside world", the projects are done in collaboration with companies whose commercial activities are connected to AI. Each company involved in the course will define a project related to a real product, application, or problem that the company needs to deal with. You and your team will work full time for one month on one of these projects, jointly supervised by a member of the host company (the client) and a TA at the university (the academic mentor).

The list of participating companies and projects on offer varies every year. Before the project period starts, the list of available projects will be made available and  students will be asked to submit their preferences. On the basis of these preferences, the coordinator will allocate individual students to projects with a maximum of 5 students per project.

Studiemateriaal

Literatuur

• Scrum learning materials (on Canvas)

Syllabus

• On Canvas

Software

• Scrum management tools (suggested options on Canvas)

Leerdoelen

• Students are able to organise work within a team
• Students are able to summarise the goals of the project, the features of their proposed solution, and possible improvements for these features
• Students are able to communicate their work to an audience in a coherent and professional manner
• Students are able to document their implementation to allow others to use it, modify it or extend it

Onderwijsvormen

• Hoorcollege
• Presentatie/symposium
• Zelfstudie
• Zelfstandig werken aan bijv. project/scriptie
• Begeleiding/feedbackmoment

Verdeling leeractiviteiten

Aanwezigheid

Aanwezigheidseisen opleiding (OER-B):

• Voor practica en werkgroepbijeenkomsten met opdrachten geldt een aanwezigheidsplicht. De invulling van deze aanwezigheidsplicht kan per vak verschillen en staat aangegeven in de studiewijzer. Wanneer studenten niet voldoen aan deze aanwezigheidsplicht kan het onderdeel niet met een voldoende worden afgerond.
  

Aanvullende eisen voor dit vak:

Attendance at the plenary sessions with the coordinator and during the team's presentation block is obligatory. Each group is also responsible for punctual attendance at any meetings scheduled with their client or their TA.

Toetsing

This course is as much about your process (interacting professionally with your client and applying Scrum principles appropriately) as your product (your final deliverable for your client). All assessments incorporate a balance between these two aspects. More details are in the rubrics on Canvas.

Inzage toetsing

Although students will receive limited direct feedback after each presentation, the weekly meetings with the TA are the moment to discuss assessments more extensively.

Opdrachten

All work in this course is group work, oriented toward an external client's AI needs.

• Planning presentation (in-person on the first Friday of the block)
• Progress presentation (in-person on the second Friday of the block)
• Final presentation (in-person on the final Friday of the block)
• Final report (last day of the block)
• Final implementation delivered to client (last day of the block)
• Professionalism self-assessment (last day of the block)

Fraude en plagiaat

Dit vak hanteert de algemene 'Fraude- en plagiaatregeling' van de UvA. Hier wordt nauwkeurig op gecontroleerd. Bij verdenking van fraude of plagiaat wordt de examencommissie van de opleiding ingeschakeld. Zie de Fraude- en plagiaatregeling van de UvA: http://student.uva.nl

Weekplanning

Contactinformatie

Coördinator

• dr. J.A. Burgoyne

• dr. J.P. Trujillo