Master's Programme in Image Analysis and Machine Learning, joint section HT23

Master's Programme in Image Analysis and Machine Learning 2023

Welcome new Master's Students!

Please note that this page is subject to change and that content may be added or changed before and during the introduction week. Check for updates regularly.

Please, also note that all the times indicated on this page are Stockholm-times (CET). 

 

Contact information

Introduction week: Roll call and enrollment formalities

The 2023 Autumn term will start with some activities during the introduction week, August 21-25.

We will have one joint information meeting, on Monday August 21, and then individual meetings with each student (Tuesday to Friday).  During the joint meeting we will provide some information about your chosen programme and the courses included in it. We will give you some guidance how to select your courses. We will talk about studying in Uppsala. This will also be a good opportunity to meet with your new classmates.
You can find a preliminary schedule for the introduction week further down on this page.

The courses start the week after the introduction week, from August 28.

Note that it is mandatory to attend the roll call on August 21 and it is recommended to attend an individual meeting later in the week (see a comment below about this). 
If you are, for some well justified reason, unable to attend, contact Nataša Sladoje Links to an external site. as soon as possible (before the missed meeting) to discuss if there are any possibilities to proceed. 


Find your way to the roll call: 

The roll call will be held at the Ångström Laboratory campus, house 10, in room 101127.
Here is a map to room 101127 at the Ångström Laboratory: https://link.mazemap.com/VVhPHD7m Links to an external site.
Here is the Ångström Laboratory marked on Google Maps: https://goo.gl/maps/o6bUB42oCoKw3vyb8


Individual meetings and Individual Study Plans

During the individual meeting you will talk to the programme coordinator and the student advisor about your study plan, select your courses for the Autumn term, and finalise enrollment. To be registered to the programme, students with a conditional offer of enrollment must have provided the necessary documents to the University admissions ahead of time, as per the separate instructions that you should have received. For the individual meeting, all students need to be able to show a valid ID (e.g., a passport). 

The schedule for the individual meetings will be arranged after the roll call on August 21. You must have completed your course selection and enrollment by August 25 the latest. We will work together to meet this deadline. You may already start with preparations by taking a closer look at the syllabus of the Master's programme in image analysis and machine learning here and in particular the courses offered within the program here Please, note that you are not expected to register for the courses before we discuss your selection at the individual meetings.

 

Courses: On Monday, 21 August, during our joint introductory meeting, you will be given practical information related to courses and some brief presentations of the courses recommended for the Autumn. We will help you to make selections that are tuned to your individual educational backgrounds, while ensuring that you meet the requirements and goals of the programme. The programme syllabus lists several optional courses that can be suitable for you, and it is sometimes possible to take courses that are not in the programme syllabus at all.

Note that each course has entry requirements that must be fulfilled in order to take it. This is very important to have on mind when selecting courses. You can meet the stated entry requirements either by having completed courses in your previous studies, or by selecting courses now so that they ensure your further progression. 

While your primary focus should be on the courses included in the programme Links to an external site., you may also look at the wider list of all courses  offered by the Department of Information Technology during the Autumn (including non-programme courses which may be possible to take). Brief presentations of some of the courses on that list can be found here . Please, note that these additional courses should be considered only if they replace some of the recommended programme courses which you have possibly already taken. 

 

Courses to consider for the First Semester

We will briefly present the recommended programme courses on Monday, August 21. We will also discuss the criteria you should follow when making your own Individual Study Plan.
Towards completing the Master's programme in Image Analysis and machine Learning, all students should complete the following courses offered in the First Semester: 

In addition to these courses, you can select some of the courses offered with a particular aim to ensure your eligibility to the later programme courses. This selection depends on your educational background and boils down to ensuring that you have completed (during your previous studies, or now, during the first semester at the master's programme in IA&ML) all of the following courses (or their equivalents)

Furthermore, eligibility to some of the advanced courses to be taken later in the programme requires some of the following elective programme courses: 

and you can, at this point, strategically select those relevant for you. In total, your selected course should sum up to 30 credits (15 in each of the two study periods). 

You can find slides or video recordings presenting (most of) the programme recommended courses at this page Links to an external site..  Do take a look! 

The aim of the individual study meetings that we will conduct 22-25 of August is that each of you has sent a filled in ISP form ( docx Download docx  pdf Download pdf ) to Nataša and Olga.
We encourage you to start with filling in the form already now. If you have no questions, you can send in the form even without attending the individual meeting. In case that you do have questions, we will discuss them all, and provide guidance, at the joint and the individual meetings during the introduction week.

 

Student account

To participate in the programme it is very important that you have a student account. You can read more about getting a student account here.

 


Preliminary schedule for the introduction week activities

Monday,  August 21  (Ångström, House 10, 101127)

13:00-14:00    Welcoming session 

Welcome and a roll call

Presentation of the programme Download Presentation of the programme 

Presentation of the Student Union (UTN)

Welcome by the student representative of the programme  Download Welcome by the student representative of the programme 

Present yourself in a couple of words

 

14:15-16:00    Info-session and programme presentation    

Detailed programme and course presentations Download Detailed programme and course presentations 

Info regarding registration to the programme

Studying at the IT Department - Practical issues Download Studying at the IT Department - Practical issues

How to plan the individual meetings  

Q&A Session

Tuesday - Friday,  August 23-26 

(Times TBA)   Individual meetings (by appointment)   

 

 

Other welcoming activities

Activities are organized by various organizations every year to welcome new students at our University. These are not handled by your programme, so we do not provide details about these activities here, and we suggest to look at the pages provided by these organisations. 

  • For hundreds of years, the student nations have been a central part of student life for many. Uppsala's 13 student nations regularly organize events to welcome new students and then throughout the year. Read more about student nations here, here , and here. The student nations will post information on their web pages about welcoming activities over the summer.
  • Centrally, the University arranges help with some practical matters and a welcoming reception. See the Welcome Programme of the University .

 

We are looking forward to meeting you in Uppsala!