| July 25th, 2016 04:55 PM | |
| Kesari Koli | Re: EPFL TOEFL Requirements I will let you know TOEFL score requirement for EDIC Computer and Communication Sciences course conducted by École Polytechnique Fédérale de Lausanne so that you can have idea. Documents required Grade records for all years of all attended universities, at undergraduate (BS) and graduate (MS) levels Diplomas, as far as already available CV Statement of objectives (in English) A copy of your passport or official identity document showing your name in full. Score Requirement Common European Framework of Reference for Languages (CEFR) C1, TOEFL paper-based 600, TOEFL computer-based 250 TOEFL Internet-based 100, TOEIC (L & R) 850, IELTS (academic) 7, Cambridge Advanced Certificate (CAE), Michigan ECPE. Other tests of equivalent level may be accepted. Course Structure Depth courses AI Mathematical foundations of signal processing Intelligent agents Pattern classification and machine learning Systems Performance evaluation Database systems Advanced multiprocessor architecture Design technologies for integrated systems Principles of computer systems Theory Cryptography and security Information theory and coding Advanced probability and applications Advanced algorithms Synthesis, analysis and verification Breadth courses - AI Biological modeling of neural networks Audio signal processing and virtual acoustics Mathematical foundations of signal processing Digital education and learning analytics Computational photography Intelligent agents Introduction to natural language processing Pattern classification and machine learning Unsupervised and reinforcement learning in neural networks Advanced computer graphics Color reproduction Computer vision Virtual reality Digital 3D geometry processing Human‐computer interaction Personal interaction studio Sensors in medical instrumentation Biomedical signal processing Biometrics Image and video processing Image communication Media security Automatic speech processing Mathematics of data: from theory to computation Social media Fundamentals in statistical pattern recognition Machine learning for engineers Human language technology Computational social media Advanced topics in data sciences A network tour of data science Topics in autonomous robotics Model predictive control Image processing I Image processing II Applied machine learning Advanced machine learning Breadth courses - Systems TCP/IP networking Real‐time networks Satellite communications systems and networks Dynamical system theory for engineers Performance evaluation Student seminar: security protocols and applications Software‐defined radio: a hands‐on course Technology ventures in IC Advanced compiler construction Database systems Distributed information systems Program parallelization on PC clusters Advanced computer architecture Advanced multiprocessor architecture Design technologies for integrated systems Embedded systems Microelectronics for systems on chips Real‐time embedded systems Model-based system design Industrial automation Business plan for IT services Enterprise and service-oriented architecture Principles of computer systems Privacy protection Topics on datacenter design Current topics in distributed systems Smart grid technologies Distributed intelligent systems Breadth courses - Theory Cryptography and security Information theory and coding Mobile networks Advanced probability and applications Statistical neurosciences Statistical signal and data processing through applications Advanced cryptography Advanced digital communications Networks out of control Mathematical foundations of signal processing Random walks Quantum information theory and computation Advanced topics in cryptology Statistical physics for communication and computer science Discrete computational geometry Analytic methods in algorithms and complexity Advanced algorithms Distributed algorithms Foundations of software Concurrent algorithms Convex optimization and applications Topics in theoretical computer science Synthesis, analysis and verification Computational molecular biology Games for crowds and networks Advanced topics in data sciences Set theory Advanced analysis I Advanced analysis II Gödel and recursivity Address:- École Polytechnique Fédérale de Lausanne Route Cantonale, 1015 Lausanne, Switzerland Phone:- +41 21 693 11 11 |
| July 25th, 2016 04:11 PM | |
| Unregistered | EPFL TOEFL Requirements How much TOEFL score is required for EDIC Computer and Communication Sciences course conducted by École Polytechnique Fédérale de Lausanne? |
