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Found 2 results

  1. Hi All, Each year we organize a Summer School for senior undergraduate students. This year, the four-day fully-catered event will be from July 3rd until July 6th, inclusive. The Summer School will consist of wide-ranging talks on the theory and applications of data analytics & visualization given by program faculty and industry experts. This is a great opportunity for undergraduate students to learn about cutting-edge research in the big data science and network with subject matter experts and fellow students from other countries. We are inviting applications from exceptional students worldwide. The event is free to attend, and moreover, the successful applicant’s travel and accommodation expanses will be covered by the program. For more information or to apply, please visit http://www.lassondecreatedav.ca/ About the CREATE DAV Program The program is a multi-institution, multi-sector collaboration between York University (the lead institution), OCAD University, Concordia University and the University of Toronto, together with a number of leading Canadian high-tech companies in Toronto and Montreal focused on applications in cloud computing, digital cultures, health technology and smart cities. The goal of the DAV program is to provide opportunities for exceptional graduate students (MSc and PhD), undergraduate students and post-doctoral fellows. Students accepted into the program will receive highly competitive financial stipends and enhanced training from a collaborative group of internationally known subject matter experts in the field of data analytics and visualization in a broad range of application areas. Poster Create Dav Summer school 2018.pdf
  2. AIM: 2013 fall, master program in computer science or statistics CURRENT GPA : 2.68 GRE: 156+167+3.5 ToEFL: haven't tested yet MAJOR : statistics MINOR: computer science FROM: China, top 5 departments of statistics I am actually in my junior year, so the reason for this post is asking for what I should do to increase the strength of my profile. There are a lot of reasons for me to get only 2.68 in GPA, different ways of calculating and stupid courses like Marxism, but it's now a fact and I have nothing to do to change it. Even I got all A's in this semester, it's still about 2.8 or so the time I applying. I study at another university in free time to learn computer science, It will give me a minor degree in cs, and that university is more famous than mine own, it's china's top 3 engineering schools. My major is focused on mathematical statistics, so I learned analysis and other high-level math courses than other university's stat students. With this multi-background, I wish to study machine learning or artificial intelligence. I know it's sometimes in the cs department and sometime in the statistics, and I think my undergraduate-level statistics is already enough to me, so I wish to apply for some cs master programs and take more cs courses. What do you think I should do to fix the problem of GPA? I think my statistics and cs background is sufficient for a machine learning program, but the low gpa will restrict me to those 50-80 schools. If I want to be more competitive in applying, what should i prepare? Thank you.
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