Graduates from the Doctor of Engineering Sciences Program in this area will receive state-of-the-art knowledge in the area of Computer Science through a systematic course program and by conducting doctoral thesis research.Doctoral research should contribute new knowledge in the area of Computer Science. This goal will ensure that graduates have the skills needed for any continued academic work and to carry out research with elements of creativity, leadership, and originality. The final requirement for receiving a doctorate in this area of specialization is to master a wide area of study and evidence the ability to conduct independent research in one of the defined research lines.

Lines of investigation

The activities carried out in the Department of Computer Science are oriented towards research and application in two main topics: A. Human-oriented computing and systems and B. Computer science.

Human-Oriented Computing and Systems

This line of research focuses on the processes and tools that exist for and due to the interaction between humans and people. This research focuses on the analysis of the interaction of processes between humans and computers, as well as the development of new technologies to improve these processes. In this line, different points of view converge from where we look at technology and its interaction with people, which includes software development and specification mechanisms, the study of the impact that interfaces and technologies have on human processes, and the data they generate on human-computer processes.

Part of the research topics adressed in this area include: modern development processes and creation of methods and tools to build high-quality software, the role of information technologies in educational processes, processes in health and medical education, among others. The computer science department has three research laboratories dedicated to more specific problems in this area: The Software Engineering and Intelligent Systems Laboratory (SEISlab), the Human and Process Laboratory (HAPlab) and the Educational Informatics Laboratory .

Members: Andrés Neyem, Valeria Herskovic, Marcos Sepúlveda, Jorge Muñoz, Miguel Nussbaum.

Computer science

This line of research seeks to generate basic knowledge and technological applications that can break the limits of current computing. Today, the emphasis of computational processes is on efficiency, in order to be able to work with as much data as quickly as possible, and flexibility, in order to generate tools with a high level of adaptability and autonomy. The entire computational process is covered, from the generation and management of data to the construction of artificial intelligence tools or relevant visualizations. In turn, the methods are broad, ranging from logical and mathematical tools, used to model and understand complex algorithms, to the development of intelligent applications with an impact on the industry.

The Department of Computer Science has three research laboratories dedicated to more specific problems in this area: the Artificial Intelligence Research Laboratory (IAlab), the X-ray and Computer Vision Research Laboratory, and the Data Laboratory. We are also home to the Data Foundations Millennium Institute, a reseearch center for developing interdisciplinary science at the frontier to address fundamental data problems.

Members: Álvaro Soto, Denis Parra, Karim Pichara, Domingo Mery, Jorge Baier, Marcelo Arenas, Juan Reutter, Cristian Riveros.

Master in Artificial Intelligence organizes Master Class with David Carroll