Artificial Neural Networks and Deep LearningSemester Course

Computer Science
Week-Long Study Tour
Core Course Week Study Tour
Major Discipline(s)
Computer Science, Information Science, Mathematics
Core Course
Fall/Spring semester

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.

Related Discipline(s)

This course would also be of interest to the following discipline(s):
Computer Science


Ulf Aslak Jensen

DIS Copenhagen Semester Faculty

PhD researcher at the Copenhagen Centre for Social Data Science, University of Copenhagen. Visiting researcher at the Technical University of Denmark (DTU), MScEng in Digital Media Engineering from DTU. Former research assistant at the Uri Alon lab at the Weizmann Institute of Science. Former Data Scientist at Trustpilot, and seasoned teaching assistant in academia. His current research focuses on pattern detection and behavior prediction in multimodal social network data.

Lucian Leahu

DIS Copenhagen Semester Faculty

PhD in Computer Science from Cornell University 2012. Assistant professor at ITU Copenhagen since 2015. ERCIM Postdoctoral Fellow at the Swedish Institute of Computer Science (2012-2013) and Project Leader in the Media Technology and Interaction Design Department at the Royal Institute of Technology (2014). With DIS since 2019