COMP50070

The aim of this module is to provide students with practical exposure to working in industry during which they can use and enhance technical skills that they have already gained through their other activities. The student will work in a setting that reflects their interests as a machine learning professional. Internships may vary considerably but in general terms the students will be placed in industrial, government, international research, or other environment where they will obtain a breadth of practical experience to complement their degree programme. The students will experience workplace culture making them more effective employees following graduation.

The exact nature of the work that students will undertake will vary according to the nature of the organizations that they join, however, the student will be expected to take a full part in the activities of the organization that they join and to make positive contributions to that organization. In contrast with routine work, a placement is defined as a learning experience incorporating mentoring, and professional supervision in which work is viewed from critical and evaluative perspectives. To facilitate this, students will be required to maintain a weekly log book and reflective diary which will describe the student’s activities and what they have learned from these. Following the placement the students will prepare a report on their activities.