TA and AL job descriptions block 1 and 2, 2025-26

Course organiser: Jacob Holm, jaho@di.ku.dk

There are 2 x 2 hours of exercises per week. The norm is that you get 1.5 hours of preparation for each of these hours.

In addition, the students will have 6 assignments to be handed in in groups, of which 4 have to be passed, and this includes a re-handin. The TAs will correct/comment these assignments including re-handins.  Each TA is expected to be responsible for about 15 groups.

It is expected that TAs help prepare instructions and assignments for exercise classes and the course page, to prepare and give exercise classes, participate in e-mail correspondence about TA tasks, help administer the course home page and participate in the forum at absalon.

Course organizer: Panagiotis Karras, piekarras@gmail.com

Being a TA for Advanced Computer Systems (ACS) involves primarily: (a) supporting students with the theory/programming assignments; (b) holding weekly TA exercise sessions; (c) grading assignments; (d) helping with pre-grading of the exam assignment.

For activity (a) to work out, we typically ask new TAs to work a bit in advance of the course with the code base used for the assignments. This makes a dramatic difference on how much help you can offer to your fellow students during the course. Also, a large chunk of (b) is dedicated to Q&A on the assignments. So the advance investment you make into the code base reflects in higher quality and lower work during the teaching weeks.

Activity (d) is about the same effort that a TA would put into grading one of the assignments. But it must happen in the week after the exam.

The regular teaching weeks aside, the TAs are expected to help out well in advance of the course and in the week after the exam week. TAs are expected to prepare for, and hold exercise sessions, come to weekly TA meetings, participate in email correspondence about TA tasks, participate in the forum on the course website and help students outside of regular hours.

In connection with admitting students to the exam, TAs are expected to help with correcting and approving homework assignments. In connection with holding the exam help will be needed with correcting and approving homework assignments.

Course organizer: Troels Henriksen, athas@di.ku.dk

The major parts of the TA work consist of preparing for and holding weekly lab/exercise sessions, and giving feedback on the weekly hand-ins of assignments. TAs are expected to attend weekly TA meetings, participate in email correspondence about TA tasks, participate in the forum on the course website, and (to a limited extent), help students outside of regular hours. TAs may also be asked to help setting up course infrastructure, such as automated grading via OnlineTA. AP uses the Haskell language.

The regular teaching weeks aside, the TAs are expected to help out in the week before the exam week (pre-testing the assignment), and in the weeks after the exam (testing/pre-grading the student submissions).

Course organiser: Mostafa Mehdipour Ghazi, ghazi@di.ku.dk

ATDL is an advanced course in deep learning, and TAs should have experience with deep learning and a good command of deep learning techniques.

The tasks of the TAs include:
• Advising students in the exercise classes and guiding the students in their project work.
• Correcting assignments and monitoring the online class forum.
• Participating in a weekly TA meeting (about 1 hour).

For more details about the TA job, please, contact the course organizer (Stefan Sommer, sommer@di.ku.dk) 

Course organiser: Amartya Sanyal amsa@di.ku.dk

The tasks of the TAs include:

• Advising students in the exercise classes (e.g., answering questions regarding the material presented in the lecture). There is one three hour exercise class per week.
• Presenting reference solutions in the exercise classes.
• Correcting weekly home assignments and monitoring the online class forum.
• Participating in a weekly TA meeting (about 1 hour).

TAs are required to have very good command of machine learning, as demonstrated for example by a good grade in "Advanced Topics in Machine Learning" course. TAs are also required to have strong math skills (linear algebra, analysis, and probability theory).

For more details about the TA job, please, contact the course organizer Amartya Sanyal, amsa@di.ku.dk

Course organiser: Desmond Elliott, de@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Kursusansvarlig: Michael Kirkedal Thomsen, m.kirkedal@di.ku.dk

Computer Systems runs over the entire first semester. The main task of the TA work consists of preparing for and holding weekly lab/exercise sessions and grading and giving feedback on the handed-in assignments.

Furthermore, the TAs are expected to help out in advance of and during the course with testing the curriculum, forming of exercises, assignments and tutorials as well as other miscellaneous tasks.

TA tasks include:

• Dry-run exercises and assignments.
• Prepare for and hold exercise and lab sessions.
• Grade and give feedback to hand-in of assignments.
• Attend weekly meetings.
• Be active (and helpful) on the course website forums.

Most task are flexible and can be performed outside of regular working hours.

Course organiser: Omry Ross, omri@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Course organiser: Stefan Sommer, sommer@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Kursusansvarlig: Mikkel Abrahamsen, miab@di.ku.dk

Disket Matematik og Algoritmer (DMA) vil give de studerende en introduktion til diskret matematik, algoritmer og datastrukturer. Kurset er på første år og løber over 2 blokke (blok 1 og blok 2). De studerende vil se simple eksempler på anvendelse af diskret matematik til konkrete algoritmer. Vi forventer, at instruktorerne til DMA har taget kurser i diskret matematik og indledende algoritmik, f.eks. DMA eller DMFS og evt. AD.

Kurset vil blive opbygget omkring forelæsninger og øvelsestimer. Der er en skriftlig eksamen i slutningen af kurset, og for at kunne deltage skal de studerende have godkendt en række skriftlige afleveringsopgaver.

Som instruktor på DMA skal du:

• ugentligt varetage 3x2 timers øvelsestimer,  
• ugentligt deltage i 1 times instruktormøde typisk fredag i frokostpausen,
• ugentligt varetage evaluering af de studerendes løbende afleveringer (10-12 i alt i løbet af kurset) og give feedback til de studerende  
• løbende deltage i dialog med de studerende via Absalon, e-mail, etc.  
• deltage som lektiehjælper på studiecaféen efter en turnusordning, typisk 4 gange i alt.  

Interesserede er meget velkomne til at kontakte Mikkel Abrahamsen (kursusansvarlig).

Course organiser: Pepa Kostadinova Atanasova, pepa@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Kursusansvarlig: Troels Henriksen, athas@di.ku.dk

Instruktoropgaver:

• deltage i instruktormøder
• give feedback på opgaver/øvelser
• afholde ugentligt øvelsestimer
• besvare spørgsmål fra studerende online

Se eventuelt kursusbeskrivelsen på kurser.ku.dk

Course organiser: Kenny Erleben, kenny@di.ku.dk

The TA will work closely with teachers in a team-oriented way to create the best exercise classes. Applicants with good skills in linear algebra, having a love for practical algorithms and data-structures, and experience with C++ or similar will be suitable for this position. Applicants with strong interests in rendering or computer games might find this TA position useful for their future career.

The TAs tasks are:

• Lead the exercise sessions and help students solve the exercises.
• Give feedback on students solutions to the exercises.
• Answer course related questions in the discussion board in Absalon.

See the course description here

Underviser: Sten Mogensen, Sten@mogensen.dk

Opgaverne som instruktor på it-projektledelseskurset er primært:

1) Afholdelse af øvelser i ugerne 36-41 og 43

• Svare på spørgsmål vedr. pensum, og give uddybende oplæg/forklaringer om dette.
• Opsummere tværgående problemstillinger fra løsningen af forrige uges opgave
• Vejlede og hjælpe med løsning af indeværende uges opgave
• samt hvad I og de studerende ellers finder relevant.
• Give mundtlig feedback til grupper, hvis opgavebesvarelse ikke er godkendt, og som ønsker feedback udover den skriftlige.

Øvelserne afholdes torsdag eftermiddag (eller tirsdag formiddag) i blok 1.

2) Rette ugeopgaver, formentlig efter følgende proces:

• Besvarelserne ligger i Absalon mandage kl. 18.
• Senest tirsdag kl. 18 sender I mig jeres bedømmelser af de besvarelser, som I måtte være usikre på, hvordan I skal bedømme (herunder om der skal genafleveres) – typisk 2-3 besvarelser.
• Senest onsdag kl. 10 får I feedback fra mig på jeres udvalgte bedømmelser, med henblik på at sikre en fælles måde at bedømme besvarelserne på.
• På instruktormødet (typisk via skype onsdag aften) drøfter vi tværgående forhold vedr. bedømmelserne.
• Så vidt muligt inden øvelserne torsdag giver I en kort skriftlig feedback på Absalon til hver enkelt gruppe, der har lavet en besvarelse.
• På øvelserne samler I de ting op, som mange har haft problemer med i besvarelserne, og fortæller, hvordan det kunne have løst. Vis gerne en prototypisk god besvarelse frem, og læg den på Absalon.

Afhængig af den endelige skemaplanlægning kan der ske justeringer af tidspunkterne ovenfor. 

3) Deltage i instruktormøderne

Udover rettelsen af forrige uges opgavebesvarelser drøfter vi her kriterier for rettelse af de kommende ugeopgaver, samt problemstillinger (fx vedr. forståelse af pensum), der har vist sig på øvelserne.

Normalt foregår instruktormøderne som digitale møder onsdage kl 19-20.

4) Lave en forhåndsvurdering af de studerendes eksamensopgavebesvarelser, ud fra en skabelon som jeg laver.

Det er vigtigt at I afsætter god tid hertil i uge 45.

Course organizer: James Emil Avery, avery@di.ku.dk

The lion’s share of the TA work consists of preparing for and holding weekly lab/exercise sessions and grading and giving feedback on the weekly hand-in of assignments.

Furthermore the TAs are expected in limited amounts to help out in advance of and during the course with planning of the curriculum, forming of exercises, assignments and tutorials as well as other miscellaneous tasks.

TA tasks include:

• Help design and dry-run exercises and assignments.
• Prepare for and hold lab sessions.
• Grade and give feedback to weekly hand-in of assignments.
• Attend possible weekly meetings.
• Participate in e-mail correspondence about TA tasks.
• Be active (and helpful) on the course website forums.

Help students outside of regular working hours.

Course organiser: Sadegh Talebi (m.shahi@di.ku.dk)

The tasks of the TAs include:

• Advising students in the exercise classes (e.g., answering questions regarding the material presented in the lecture). There is one three hour exercise class per week.
• Presenting reference solutions in the exercise classes.
• Correcting weekly home assignments.
• Participating in a weekly TA meeting (about 1 hour).

TAs are required to have good command of machine learning, as demonstrated for example by a good grade in „Machine Learning“ and/or "Advanced Topics in Machine Learning" courses. TAs are also required to have reasonable math skills (basic linear algebra, analysis, and probability theory should not be scary for you).

You can find a more detailed description of tasks and their time estimates at https://docs.google.com/document/d/1YCLTnLDurJwkW7GebfIdNsuAzdNUC907d_dryKF3pP8/

We are also looking for one Master TA. Master TA will be responsible for running the TA team. For this job we are looking for a highly organized person that is punctual, responsible, and likes organizing things. If you would like to be considered for the role of Master TA, please, state it in your application.

For more details about the TA job, please, contact the course organizer Sadegh Talebi, m.shahi@di.ku.dk

Kursusansvarlig: Marc Patrick Brag Klemp,  marc.klemp@econ.ku.dk

Instruktoropgaver:

• Afholde ugentlige studieværksteder med hovedfokus på opgaveløsning og individuel hjælp frem for tavleundervisning.
• Give feedback på opgaver/øvelser.
• Besvare spørgsmål fra studerende.

Se eventuelt kursusbeskrivelsen på kurser.ku.dk.

Kursusansvarlig: Martin Nørgaard, martin.noergaard@di.ku.dk 

TA tasks: Holding weekly exercise classes, correcting assignments, pre-testing of assignments, participation in weekly TA meetings. 

Kontakt: Bulat Ibragimov (bulat@di.ku.dk)

TA tasks: Holding weekly exercise classes, correcting assignments, pre-testing of assignments, participation in weekly TA meetings.

Course organiser: Daniel Hershcovich, dh@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Kursusansvarlig: Bulat Ibragimov, bulat@di.ku.dk

Instruktoropgaver:

• deltage i instruktormøder
• give feedback på opgaver/øvelser
• afholde ugentligt øvelsestimer
• besvare spørgsmål fra studerende online

Se eventuelt kursusbeskrivelsen på kurser.ku.dk

Course organiser: Wouter Boomsma wb@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Kursusansvarlig: Philippe Bonnet, bonnet@di.ku.dk

Programmering og problemløsning (PoP) underviser i problemløsning via programmering. Vi har fokus på de 3 paradigmer, imperativ, funktionel og objektorienteret, med sprogene F# of Python. Vi har også fokus på værktøjer: kommandolinjen, visual studio code, overleaf, og latex. Undervisningsformen lægger vægt på ”theory building”. Kurset ligger i skema A.

Som instruktor på PoP er du med til:

• ugentligt sammenlagt 5 timers øvelsestimer, hvor du giver feedback til de studerende
• at deltage i 1 times instruktormøde ugentligt (i frokostpausen) 
• at varetage evaluering af de studerendes løbende afleveringer (4 i alt i løbet af kurset)  
• løbende deltage i dialog med de studerende via discord  
• deltage som lektiehjælper på lektiecafeen efter en turnusordning, typisk 4 gange i alt.  
• deltage i en halvdags forberedende workshop i ugen op til kursusstart  

Som instruktor på PoP forventes det, at du er god til at programmere og har grundigt kendskab til F# og Python, men det forventes ikke, at du ved alt. Det er heller ikke et krav, at du har instruktor- eller undervisningserfaring, men vi forventer at du er en åben og engageret person, og vi vil i løbet af kurset arbejde med din rolle som instruktor i forhold til de andre undervisningsaktiviteter, som foregår på kurset og på 1. år på datalogi. Undervisning på PoP og i det hele taget på 1. år på datalogiuddannelsen er en holdopgave, og vi lægger vægt på at hele instruktorholdet fungerer godt sammen, og at det er en lærerig og givende oplevelse for alle. Vi er fleksible mht. planlægning af arbejdsbyrden i forhold til dit studium og forventer, at du vil kunne være fuldtidsstuderende samtidigt med dit instruktorjob.

Course organizer: Cosmin Oancea, cosmin.oancea@di.ku.dk

The TA will mainly be in charge of grading the weekly assignments (including providing related feedback to students) , moderating the Absalon discussion forum, and attending and helping students during exercise classes (i.e., lab). See the course description.

Kursusansvarlig: Daniel Spikol (ds@di.ku.dk)

Instruktor opgaverne svarer til dem beskrevet nedenfor (Python Programming for Data Science in block 1), da kurserne næsten er ens.

Hvis du er interesseret i at være instruktor på begge Python Programmeringskurserne, så skriv gerne dette i din ansøgning.

Course organiser: Wouter Krogh Boomsma, wb@di.ku.dk & Thomas Wim Hamelryck, thamelry@bio.ku.dk

Python Programming for Data Science is an introductory programming course. It is primarily targeted at Bioinformatics students but typically attracts students broadly from the Science Faculty. The goal of the course to teach students to write short, well-structured programs in Python, with a focus on preprocessing data for downstream data analysis tasks. The course is in Schedule Group B.

As a TA in this course, you are expected to:

• Help out with interactive teaching sessions. The 2x3 hour weekly lecture-sessions consist of a mix of classic lectures and exercises, and for each session, two TAs are present to help with these exercises.
• Take turns hosting the 2x2 hour weekly exercise sessions.
• Participate in online discussions with the students on Absalon, email etc.
• Helping out with marking exercises

TAs in this course are expected to be confident Python programmers. You don't need to know everything, but you should be open to interacting with the students and try to give them a positive experience with learning their first programming language.

Kursusansvarlig: Thomas Troels Hildebrandt, hilde@di.ku.dk

Instruktoropgaver:

• deltage i instruktormøder
• give feedback på opgaver/øvelser
• afholde ugentligt øvelsestimer
• besvare spørgsmål fra studerende online

Se eventuelt kursusbeskrivelsen på kurser.ku.dk

Course organiser: Serge Belongie, s.belongie@di.ku.dk

TA tasks:

- Correction of 4-5 mandatory assignments and feedback. One assignment is individual, the rest is in groups.

- Weekly pre-meetings of about 30 minutes.

- 2 hours help with assignments in class.

- One final grading meeting.

Course organiser: Kasper Hornbæk (kash@di.ku.dk)

TA tasks:

• attending TA-meetings
• commenting of obligatory exercises
• weekly excercise classes
• answering questions on class forum
• individual ad-hoc advising/follow-up

See the course description.

Course organiser: Joanna Bergström, joanna@di.ku.dk

Course Description

The aim of the course is to teach students to design and develop for virtual reality (VR). Participants will learn to develop for VR in a standard tool such as Unity, create interactions between avatar bodies and virtual objects, and design selection and manipulation techniques for VR. The course focuses both on the technical aspects of VR as well as on the human-centred aspects. These skills are needed to develop for headset-based VR, but also in developing for other headset-based technologies, such as augmented reality. Learning will happen through lectures and hands-on VR development exercises.

See more at https://kurser.ku.dk/course/ndab20008u/2025-2026

 Responsibilities

The TAs are expected to take on the following responsibilities:

• Update and revise the programming assignments. 
• Planning and holding exercise classes on developing for VR with Unity and for the technical project work of student groups during the regular weekly classes.
• Help, discuss, and answer the students’ questions online on the course forums (e.g., Absalon).
• Participate in TA meetings with the course teachers (typically one before the course start and one toward the end).
• Help giving feedback for, and grading hand-ins.

Requirements

The position as a TA for Virtual Reality requires proficiency with Unity (or minimum with C#) and experience with the Unity workflow (e.g., you have took the VR course in some previous year or have equivalent experience from elsewhere). We will need 2 TAs for the course. The TAs tasks includes 4 hours of in-class assistance weekly, assignment updates, planning of demonstrations and tips for the exercise classes, possible online guidance of students (answering questions on Absalon), and hand-in evaluation tasks. 

Kursusansvarlig: Bertel Schjerning, bertel.schjerning@econ.ku.dk

Instruktoropgaver:

• Deltage i 2-3 instruktormøder
• Afholde ugentligt øvelsestimer (3 dobbelt lektioner pr. uge)
• Give feedback på hjemmeopgaver (3 i alt)

Kurset svarer i store træk til Økonometri 1 på Økonomi.

Se også kursusbeskrivelsen på kurser.ku.dk: https://kurser.ku.dk/course/ndab20005u/2022-2023

Course organiser: Irina Shklovski, ias@di.ku.dk, & Rasmus Helles, rashel@hum.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Course organiser: Naja Holten Møller, naja@di.ku.dk

TA tasks:

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.

Kursusansvarlig: Morten Misfeldt, misfeldt@di.ku.dk

The course teaches basic programming using JavaScript and HTML, it is introductory and programming will be foreign to a large part of the students. We are looking for CS students, IT-KOM students and other students with knowledge about programming and interest in teaching it.

The main purpose is to run tutorials with students (twice a week, 2-3 hours each). The exercises are defined already, so the TA is expected to prepare herself/himself in advance of the tutorials. In addition, TAs are expected to assess the weekly assignments (pass/fail), of which students have to hand in 4 in the entire semester. You are also expected to help the students with their final project.

It is usually a lot of fun to help the students, and we do an effort to keep a good and positive sprit even though the tasks are sometimes difficoult.

We will need 5 TAs for the course. During regular teaching weeks, the TAs is expected to devote 5-10 hours to TA tasks.

The TAs are expected to prepare for, and hold exercise sessions, come to weekly TA meetings, participate in the forum on the course website and help students outside of regular hours. In connection with admitting students to the exam, TAs are expected to help with correcting and approving homework assignments.

Course organiser: Melanie Duckert, melduc@di.ku.dk.

TA tasks: 

• attending TA-meetings
• commenting on obligatory exercises
• weekly excercise classes
• answering questions in class forum

See the course description.