Concept
Systèmes de questions-réponses
Cours associés (18)
EE-724: Human language technology: applications to information access
The Human Language Technology (HLT) course introduces methods and applications for language processing and generation, using statistical learning and neural networks.
HUM-216: Philosophy of biology
Identifier et comprendre les débats et problèmes centraux en philosophie de la biologie, notamment autour de l'évolution biologique et de l'émergence du vivant. Evaluer et comparer les arguments cruci
AR-202(r): Studio BA4 (Gay et Menzel)
The studio focusses on contextual imaginary. Developing narratives, inspired both by the site and by the student's imagination leads to a theme sustaining the project. The narrative helps the student
AR-678: Harmony and Conflicts
This is a methodological PhD course focused on the history and description of one case study (building, drawing or projects) and the construction of its historical broader context.
CS-423: Distributed information systems
This course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems.
CS-552: Modern natural language processing
Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more. In this course, stude
EE-608: Deep Learning For Natural Language Processing
The Deep Learning for NLP course provides an overview of neural network based methods applied to text. The focus is on models particularly suited to the properties of human language, such as categori
CS-101: Advanced information, computation, communication I
Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics a
MATH-207(d): Analysis IV
The course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems.
HUM-432: How people learn: Designing Learning Tools I
The students will understand the cognitive and social factors which affect learning - particularly in science and engineering. They will be able to use social research techniques as part of the design