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Computer Science - The Aarhus Way

Hosted by csaudk · science · EN

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About this Podcast:

Computer Science - The Aarhus Way is a new podcast series where we take a closer look at what research at the Department of Computer Science at Aarhus University is all about and get to meet their local professors.The podcast will provide a general overview of the different research fields in computer science and deeper understanding of programming languages, cryptography and machine learning.Find out more info about the study programs and their research at https://cs.au.dk/Music and production by Tilk Sonics - https://kirsitilk.com/

Pitch Analysis

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Contact path

Public web form

Booking probability

26%

Guest openness

Selective

80/100
Required Score

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Questions about Computer Science - The Aarhus Way

What is Computer Science - The Aarhus Way about?

Computer Science - The Aarhus Way is a new podcast series where we take a closer look at what research at the Department of Computer Science at Aarhus University is all about and get to meet their local professors.

What has Computer Science - The Aarhus Way covered recently?

Recent episodes include "HCI - Human-Computer Interaction" (5 January 2025, 21 minutes), "Machine learning" (22 December 2024, 19 minutes), and "Cryptography" (15 December 2024, 18 minutes).

How often does Computer Science - The Aarhus Way publish?

Computer Science - The Aarhus Way publishes roughly weekly, with episodes averaging 17 minutes across 6 episodes.

How hard is it to get booked on Computer Science - The Aarhus Way?

Booking probability for Computer Science - The Aarhus Way is 26%, and the host is rated Selective on guests. Computer Science - The Aarhus Way requires a Pod Score of 80 or higher. Computer Science - The Aarhus Way's contact route on record: public web form.

Who should pitch Computer Science - The Aarhus Way?

The strongest fits for Computer Science - The Aarhus Way are Universities & Colleges. Computer Science - The Aarhus Way has a science audience.

About the host

Computer Science - The Aarhus Way is a science podcast with 6 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Jan 5, 202521 minS0

    <p>In this bonus episode we will take a closer look at HCI (Human-Computer Interaction), the art of making our digital devices and their interfaces easy to use. We will talk about how they are doing research and what...

  • Dec 22, 202419 minS1

    <p>In this episode we will learn about machine learning and algorithms that go with it. We will talk how it has changed the world and where the science is headed. The guest this week is a professor from the Computer...

  • Episode #3

    Cryptography

    Dec 15, 202418 minS1

    <p>In this episode we will explore the world of cryptography and cyber security. The guest this week is an expert cryptographer and an assistant professor from the Computer Science department at Aarhus University...

  • Dec 8, 202420 minS1

    <p>In this episode we will discuss the birth and development of programming languages and what type of research is being done at Aarhus University. The guest this week is a programming language expert and an associate...

  • Dec 1, 202420 minS1

    <p>In this episode we will get an overview of the different fields at the Computer Science department at Aarhus University. The guest this week is a professor from the department - Jesper Buus Nielsen.</p> <p> </p>...

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  • Computer Science - The Aarhus Way

    Computer Science - The Aarhus Way Trailer

    Nov 25, 20241 minS1

    <p>Introducing the new podcast series Computer Science - The Aarhus Way.</p> <p>Join us to learn about the research and different fields in the Computer Science Department at Aarhus University.</p> <p> </p> <p>Find out...

Recent guests

Recent guests on Computer Science - The Aarhus Way. Study who booked and why before you pitch.

S

Sophia Yakoubov

Aarhus University

J

Jesper Buus Nielsen

Aarhus University

Best industries to pitch Computer Science - The Aarhus Way for

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