Showing posts with label computational physics. Show all posts
Showing posts with label computational physics. Show all posts

Monday, January 9, 2023

Artificial intelligence and other novel technologies in physics education

We are living in a time of significant technological advances and breakthroughs. Increasing computational power facilitates extensive numerical simulations of material physics, astronomical objects such as black holes, weather and climate phenomena, and the dynamics of a global pandemic that we have been going through for a couple of years. Artificial intelligence based chatbots such as ChatGPT by OpenAI appear to have a disruptive impact on science, technology, engineering and mathematics (STEM). Data science and big data are more established concepts that have already found their way into academic research as well as industrial applications. Quantum computing and brain-inspired computer chips are further examples of potentially disruptive technologies. Virtual reality and the so-called metaverse are expected to become increasingly sophisticated and relevant, too. 

Monday, December 19, 2022

Wednesday, October 5, 2022

More resources for teaching methods and materials

As the beginning of the winter semester 2022/23 is approaching here in Germany, we are currently in the process of finalizing preparations for our teaching activities. This is yet another reason why I am dealing with physics education these days and therefore I would like to share a few more interesting resources that I stumbled upon.

Wednesday, June 29, 2022

Computational physics is underrepresented

The subject "physics" can be divided into experimental and theoretical physics. In order to become excellent physicists, students attend numerous classes on these two subcategories of physics. The neverending "battle" between theoretical and experimental physicists on which group of people are the "real" physicists is being fought on (presumably) each and every university campus in this world.

But does the simple division into two categories, theory and experiment, do justice to this large and complex subject termed physics? Not really. How about computational physics?

Rethinking career advice: beyond "follow your passion" for physics students

I started reading a new book a few days ago: "So Good They Can't Ignore You: Why Skills Trump Passion in the Quest for Work You Lov...