Extended description

Courseplan:

The course follows an intense schedule, where we cover content corresponding to one semester in a week. The week of teaching contains lectures and practical exercises, such that the course participants obtain tangible experience. The course includes breakfast, lunch and afternoon tea.

skema

Certification:

Upon completion of the course, participants are rewarded a letter-of-attendance. In addition, we offer the possibility to hand in a report, which document course participants can apply the tools and methods on own data. The reports will be evaluated according to the same standards as a regular university course and upon passing the report, participants obtain certification from DTU of their acquired competences within machine learning.

Latest course evaluations:

evalueringer 
  • "Lively lecturers. Lots of examples"
  • "Virkelig pædagogisk underviser"
  • "Kurset dækker ML rigtigt godt - og man kommer ind på mange teorier/værktøjer. God undervisning"
  • "Godt materiale, gode øvelser, godt kursus"
  • "Teaching is excellent and teachers very helpful, Exercises strike a good balance between theory and practice"
  • "God kombination af teori+praksis" "Good teachers, good material & exercises"
  • "Extremely good at explaining tough subjects!"
  • "Lectures very well structured. Covered huge amount of material in short time but due to structure of lectures + exercises it all added up and made sense."
  • "Impressing ability to communicate complex material"
  • "Alt i alt et virkeligt godt kursus"
  • "Materialet er super godt (bog, slides, øvelser). Man får en god fornemmelse af mange metoder."
  • "I got an understanding of the bolts and knots of ML that by far exceeding what I have been able to pick up by self study"
  • "Good course structure & very organized teaching"