Checklist for the start of your studies
Before the first day of your education, you need to take some important steps.
1.Your offer
You have been admitted. If you want to keep your place (seat), you do not have to reply to your offer.
If you do not want to keep your place you should decline your offer by logging in to 'My pages' on universityadmissions.se, and follow the instructions. You should click "I wish to decline this offer" next to the course or programme you want to decline.
If you see "Reserve" next to your course or programme in the Notification of selection results, this means that you've been placed on a waiting list for that course/programme.
2.Activate your user account and MFA
As a new student, you need to activate your user account (your UMU-id) approximately two weeks prior to the start of the semester.
With your user account you can:
- register for courses
- access the internet in computer labs and the university's wireless network
- submit assignments and verify your study results
- access your student e-mail
If you are a new student, you will automatically receive a user account when you are admitted, but you will need to activate it for it to function properly. You will not be able to activate it until approximately two weeks prior to the start of the semester.
Exchange student or tuition fee paying student
If you are an exchange student or tuition fee paying student, you will receive an email with instructions on how to activate your account.
Install MFA for a more secure login
To increase security and reduce the risk of unauthorised access to your information or account, students must enable multi-factor authentication (MFA) to log in to various systems, such as Canvas and the Student Web.
I want to activate my user account and install MFA
Help! It´s not working
If you are having problems activating your account or logging in, please contact our Servicedesk. You will find answers to common questions, and can submit enquiries.
3.Course registration
For this course you must register in LADOK before the course starts. If you know in advance that you will not be able to register, you must notify us. If you suffer from an acute illness or other unforeseen event that prevents you from registering, you must contact us as soon as possible (a medical certificate is required).
To register for the course, you must first activate your Umu-id. Please note that the course call is mandatory; it is very important to notify the course coordinator if you are unable to attend.
4.Course start
2026-03-24
13:15
To be updated later
The schedule is preliminary until four weeks before the course starts
This course covers deep convolutional neural networks (CNNs) for computer vision, with applications in medical image analysis. The course provides an introduction to basic machine learning concepts, describes neural networks and the field of deep learning, and then delves into deep convolutional networks. The course describes the different parts used to build deep convolutional networks and covers, among others, filters, activation functions, loss functions; regularization techniques such as batch normalization and dropout; explains several of the different nonlinear optimization algorithms used to train the networks, and describes popular network architectures, discussing their advantages and disadvantages.
The course also covers generative models, such as variational autoencoders (VAEs) and generative adversarial networks (GANs).
Students in the course will learn to implement and train modern network architectures and deep learning methods, and to apply these to large image data sets, both on medical images and on other images.
The course includes two modules:
- Theory part 5.5 credits
- Laboratory part 2.0 credits
All communication with the students during the course takes place via Canvas. When you have registered for the course (see above), you will have access to the course information on Canvas. It is important that you take note of this information; if you do not use your university email account, it is important that you arrange for it to be forwarded to another email address.
The course you are going to take is given by the Department of Diagnostics and Intervention.
Course coordinator
Study administrator
Support and help
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