ENGLISH FOR COMPUTER SCIENCE
- Overview
- Assessment methods
- Learning objectives
- Contents
- Bibliography
- Delivery method
- Teaching methods
Level B2 (CEFRL).
The exam is composed of two parts, wirtten and oral.
In the written test, the students are asked to write the abstract of an article, given by the lecturer, as well as completing some multiple-choice exercises.
In the oral exam, each student will download an aritcle from the SIGGRAPH2018 platform (see above), and discuss its content with the lecturer. An alternative is to prepare the oral in pairs: in this case, the content of one or more articles will be discussed by the two students.
The oral and the written test score will compose the final score in equal parts (50% for the written and 50% for the oral).
The course is focused on academic writing.
The lessons will present the analysis of some academic research projects, which can be found on the SIGGRAPH platform (http://kesen.realtimerendering.com/sig2018.html), from the morpho-syntactic and grammatical, as well as structural point of view.
The students will be learn how to manage the content of a research project and write an article about it. The course will be focused in particular on the elaboration of the abtract, starting form the content of an article.
Some addictional material (grammar and listening) will be proposed, in order to better understand the most important elements of a specialised text.
The following articles will be read, analysed and elaborated (downloadable on SIGGRAPH2018):
- User-Guided Lip Correction for Facial Performance Capture. D. Dinev1 T. Beeler, D. Bradley, M. Bächer, H. Xu, and L. Kavan - University of Utah - Disney Research
- Learning Basketball Dribbling Skills Using
Trajectory Optimization and Deep Reinforcement Learning - LIBIN LIU, DeepMotion Inc., USA; JESSICA HODGINS, Carnegie Mellon University, USA
- FoldSketch: Enriching Garments with Physically Reproducible Folds - MINCHEN LI, The University of British Columbia - ALLA SHEFFER, The University of British Columbia; EITAN GRINSPUN, Columbia University
NICHOLAS VINING, The University of British Columbia
- MonoPerfCap: Human Performance Capture from Monocular Video - WEIPENG XU, AVISHEK CHATTERJEE, and MICHAEL ZOLLHÖFER, Max Planck Institute for Informatics - HELGE RHODIN, EPFL
DUSHYANT MEHTA, HANS-PETER SEIDEL, and CHRISTIAN THEOBALT, Max Planck Institute for Informatics
- Directing Cinematographic Drones - Quentin Galvane
Technicolor, Rennes, France; Christophe Lino, Marc Christie; Inria, Rennes, France; Julien Fleureau, Fabien Servant, Franois-Louis Tariolle, Philippe Guillotel; Technicolor, Rennes, France
Part of the content of each article will be then used to analyse some grammatical and morpho-syntactic structures, as well as study the key-words and collocations:
- Linking words
- Subordinates
- Tenses review
- Passives
- Modal verbs
- Subject and object questions
- ing/to infinitive after some verbs
- Some phrasal verbs about IT
- Suffixation
- Collocations about academic writing
Materials available online on the moodle platform.
The lecturer will introduce each article, focusing mainly on its structure and grammar/syntax/morphology/lexicon, that are going to be analysed.
After the analisys phase, focused on some specific sections of the article, the students will be asked to read the whole text and create an abstract.
During the course, the lecturer will provide some addictional material about the techniques to be used in the elaboration of an abstract, starting from the content of the article itself.