How much time will I need to dedicate to the course?
Most of the Smarter courses are part-time and the equivalent to 3 credits taken, which means around 80 hours of study hours over a semester.
Do I need to know how to program to participate in Smarter?
Yes, since these are higher education courses at the second-cycle (Master’s level), programming skills are required.
Will the Smarter course require my employer to pay fees?
No, the Knowledge Foundation funds the course, so it is free of charge. What is required of the employer is that you can set aside working hours to complete the course. The employer may reimburse you for the course literature.
What does it mean that the courses are aimed at working professionals?
Smarter is a contract education initiative, and as such its courses are viewed as continued professional development for working professionals. Therefore, you need your employer’s approval to complete the course.
Why is it necessary to participate in compulsory classes, since everything can be studied online?
We have consciously chosen to design the Smarter courses according to a teaching model that involves not only distance education, but also on-site classes. The idea is that the students will spend half a day discussing course topics with fellow students and researchers. It is our experience that meeting face to face lead to better learning outcomes.
I can only participate in two of the three on-site classes. How important is it that I attend all classes?
Attendance is compulsory at all three on-site classes.
Is it possible to participate in the three on-site classes via video link, e.g. Adobe Connect?
No, you must attend the on-site classes on campus at Örebro University.
Is it possible to take part in the course without completing the final assignment?
You can follow the web-based lectures, but you cannot attend the on-site classes, receive teacher instruction or participate in group discussions. Nor will you earn any credits.
Will the University be offering the course Introduction to Machine Learning (3 credits) again soon?
We are aware of the vast interest in the machine learning course, so when it is re-launched, we will publish more information here.