IT University of Copenhagen (video)

CS1 2_0.mp4

Tue, 07 Feb 2023 08:37:43 GMT

Computer science education research has seen tremendous growth and professionalisation in recent years, leading to improved teaching methods and a better understanding of how to help students succeed in introductory programming courses. This seminar examines a major rework of Introductory Programming (B-SWU) and discusses the implications of those changes from both student and teacher perspectives. Sebastian details the changes implemented and an analysis of the outcome in terms of student feedback, observations, and grades. Based on these findings, I provide recommendations for other introductory programming courses and outline future areas in need of improvement.

Nutan Limaye: Computational complexity

Fri, 18 Feb 2022 10:05:31 GMT

Nutan Limaye is an associate professor at IT University of Copenhagen and an internationally leading researcher in computational complexity.

Nutan’s research focus is on the most prestigious and fundamental questions in computer science, namely: which problems can be solved with limited computational resources? Her recent breakthrough result, with Srinivasan and Tavenas, received the best paper award at the Foundations of Computer Science conference in 2021 and shows that algebraic circuits of constant size require superpolynomial depth.

We ask Nutan what these words even mean, and take a deep dive into the foundations of computer science. What are computational problems, computational models, algorithms, and how does one reason scientifically about such broad concepts? In particular, how does an impossibility result even make sense: how can one prove that a problem can never be solved, no matter how many clever ideas we (or anybody else) may have in the future?

For more information: thore@itu.dk

KANDIDAT I DATALOGI

Fri, 19 Mar 2021 16:14:33 GMT

I videoen fortæller Simon dig om hvordan det er at studere Datalogi på ITU. Han er især glad for, at der er så stor frihed til at forme uddannelsen efter hans egne interesser med et stort udvalg af valgfag.

Den 2-årige kandidatuddannelse i Datalogi har fokus på erhvervslivets behov. Du kommer til at arbejde projektorienteret med design, udvikling og vedligeholdelse af software, men du lærer også om den organisatoriske og ledelsesmæssige del af en udviklingsproces.

Uddannelsen er udviklet til at give studerende med en it-faglig baggrund inden for programmering og softwareudvikling mulighed for at designe deres egen studiestruktur, så det passer til den enkelte studerendes kvalifikationer og ønsker til faglig udvikling.

Læs mere om uddannelsen her: https://www.itu.dk/uddannelser/kandidatuddannelser/datalogi

In the video Simon tells you what it’s like to study computer science at ITU. He is especially happy that the programme gives him great freedom to shape the education to best suit his interests by offering a wide range of electives.

Computer Science gives you access to cutting edge knowledge in software design, programming languages, databases, distributed systems, artificial intelligence, algorithms, software development processes, requirements, organisation and management.

The programme is aimed at students who hold a bachelor degree in computer science, software development or in a related area e.g. computer engineering. Combined with previous experience in programming and software development, you have the opportunity to design your own study programme to best fit you and your qualifications.

Read more about the study programme here: https://en.itu.dk/programmes/msc-programmes/computer-science

Tim Roughgarden: The Price of Anarchy

Mon, 17 Sep 2018 09:42:29 GMT

Tim Roughgarden is professor in the Computer Science and Management Science and Engineering Departments at Stanford University. He is also a very active science communicator, hosting a popular algorithms course on the Coursera online learning platform.

Among many recognitions, Tim has received the Gödel Prize for his research in computational game theory, a field that resides in the intersection of two disciplines: economics and computer science. We talk to Tim about one of the central insights of that work: the Prize of Anarchy, which quantifies the loss in efficiency of a system due to selfish behaviour of its agents.

We also look at applications of game-theoretic algorithms in the real world, when Tim explains the role that computer science played in designing the 2016 “incentive auction” used to by the US Federal Communications Commission (FCC) to buy and sell broadcast airwaves.

Troels Bjerre Lund: Poker-Playing Bots

Tue, 14 Mar 2017 15:57:59 GMT

In early 2017, two independent research teams announced progress in artificial intelligence: Libratus from Carnagie Mellon University and DeepStack from University of Alberta. Computer programs are now able to beat the best human players in the two-player card game Heads-Up No Limit Texas’ Hold-Em Poker.

But what are poker-playing bots? And how do they work work?

In this podcast Thore Husfeldt talks to Associate Professor Troels Bjerre Lund, IT University of Copenhagen, a researcher in algorithmic game theory and a leading expert on artificial intelligence for poker.