In the Winter Semester of 2022, CDTM offered a 3-day elective called “Hello Quantum World” on the basics of quantum computing. This article is based on the lecture notes as presented by Aaron Sander, Franz Haslbeck, Sreejit Dutta, Emily Haworth, Dr. Stephen DiAdamo, Bartu Bisgin, Dr. Philipp Gerbert, Chris [...]
Did you see these groups of people running around Maxvorstadt, following some clues, or getting lost, and solving challenges on a sunny day last August? People Ops and Center Life Taskforce joined forces to create the first-ever CDTM Scavenger Hunt. And it was a lot of fun! The CDTM [...]
IoT hardware prototyping elective Blog post 30/7/2021 Structure: Intro Ideation CAD Design Basics of 3D printing Basics of microcontrollers Basics of programming Basics of crowdfunding and visual product representation How did this course affect me? What is the CDTM? The IoT(Internet of Things) Hardware prototyping elective is one [...]
The Urban Informatics Research Lab at the Queensland University of Technology is one of CDTM’s partner programs for a semester abroad. Some of you might wonder, What is Urban Informatics? Urban Informatics is at the intersection of people, places, and technology. By definition it is an interdisciplinary field drawing from many [...]
A journey into the future is being worked on by Centerling Felix Naser (Class of Fall 2015). Felix believes in the future of intelligent and autonomous mobility. To achieve his goal he is currently working with two Toyota Prius cars with his colleagues at the Massachusetts Institute of Technology (MIT). In [...]
The resident expert in Machine Learning at CDTM is Center Assistant Patrick Christ. He was the one responsible for organizing and conducting the elective courses on Deep learning as well as Autonomous Drones. However his interest in Machine Learning is not just superficial as he is currently doing his [...]
Machine learning is the new black. If "software was eating the world" as the Netscape co-founder and renowned venture capitalist, Marc Andreessen famously said, than surely machine learning and smart apps are responsible for putting all that digital goodness to practical use. These smart systems take in raw input [...]
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