Computer Science
With the ever-increasing speed of technological advancement in computer science, it is crucial to stay ahead of the curve. Utilize your study abroad experience to gain unique access to new perspectives and advancements in the field. Denmark invests heavily in this area with specialized educations and public funds for tech startups, making it a unique place to study computer science.
Core Courses
Artificial Neural Networks and Deep Learning
Fall/Spring, 3 Credits
Artificial Neural Networks are programs that write themselves when given an objective, some training data, and abundant computing power. Recently, these programs have brought about a wide array of impressive innovations, such as self-driving cars, face recognition, and human-like speech generators. This course offers you an introduction to Deep Artificial Neural Networks (i.e. “Deep Learning”). With focus on both theory and practice, we cover models for various applications, how they are trained and tested, and how they can be deployed in real-world applications.
Game Development: Programming and Practice + Lab
Fall/Spring, 6 Credits (3-Credit Course + 3-Credit Lab)
This course provides an overview of the phases of game development, with a focus on the pre-production and production phase. You identify and discuss the components within computer science that assist in game development. Additionally, you have the opportunity to meet professional developers in the field.
Core Course Study Tours
This program travels on Study Tours to the following destinations:
Artificial Neural Networks and Deep Learning:
- Week-Long Study Tour: London
- Core Course Week: Denmark
Game Development: Programming and Practice:
Early in the semester, you delve into your academic focus during Core Course Week, in which you travel on a short Study Tour for three days in Denmark or a neighboring country, combined with a two-day seminar in Copenhagen. Later in the semester, you travel again with your Core Course on a week-long Study Tour in Europe.
While on tour, theories learned in the classroom come to life by meeting with professionals and experts in your field who contribute to furthering your understanding of course topics. Study Tours are hands-on and experiential, combining theory with practice, and expose you to additional cultural perspectives. You have the opportunity to visit sites and experts in your field of interest that you may not otherwise have access to.
Elective Courses
Add elective courses to complement your Core Course at DIS Copenhagen. You decide how to build your course load based on your needs and interests!
Electives range across disciplines and include research, workshops, studios, and even Exploration Electives, which come with a travel component.
Visit our website to view the full list of over 200 additional elective courses!
Prerequisites
Artificial Neural Networks and Deep Learning:
One year of computer science and one course in either probability theory, linear algebra, or statistics at university level. Knowledge of programming languages (e.g. in Python/Javascript/Java/C++/Matlab), algorithms, and data structures.
Game Development: Programming and Practice:
One year of computer science and one mathematics course at university level. Knowledge of at least one programming language, preferably with object-oriented programming such as Java, C# or C++.
