Course - Industrial Project - AIS2221
Industrial Project
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About the course
Course content
Guided self-study.
Professional project work in collaboration with external partner from relevant industry.
The project description is formed in collaboration with supervisors and external partner.
Learning outcome
The candidate has knowledge, skills, and general competence in the engineering profession through project work.
Learning methods and activities
The course is a guided self-study suitable for scientifically mature and independent students.
The course is directed towards the profession and run as a project in collaboration with an external partner from relevant industry.
Regular supervision meetings will ensure progress, and common methodology for project management and project work will be employed, including regular documentation, project planning, status analysis, etc.
The work must be documented in a written report. The work must also, if possible, be demonstrated physically.
Further on evaluation
The final grade is based on an overall evaluation of the portfolio, which consists of a number of works delivered through the semester. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes. If the grade for the portfolio is set to Fail, a new version of the portfolio can be submitted for a re-sit exam the following spring.
Specific conditions
Admission to a programme of study is required:
Automation and Intelligent Systems - Engineering (BIAIS)
Mechatronics and Product Design - Engineering (BIMEPRO)
Recommended previous knowledge
The course is suitable for academically skilled and independent students.
Required previous knowledge
A minimum of 110 credits and an average grade of C or better from first and second year. Admission to this course is dependent on available capacity with companies and within the academic staff, typically allowing a maximum of 10-12 students for admission.
Subject areas
- Computer and Information Science
- Industrial Process Technology
- Engineering Cybernetics
- Engineering