Oct. 18, 2016
Cannot believe that best talent people are the professors in top universities. I am doubting that IT industry could not provide the position for the talent.
Here is how Julia conducts her research "what to work on, what to read, and what to follow". She is leaving weekends for HackerRank contest, therefore, the life style change leads to her learning style change as well.
Detail see the blog:
The blog is how to work on the performance of competition. Focus on basics.
http://juliachencoding.blogspot.ca/2016/10/hackerrank-openbracket-codesprint.html
To warm up the topic, think about how Julia works hard and sacrifice her weekend to strength her ability to perform in the world wide contest on HackerRank (Just basically go over the profile and see who is sharing ...), she did over 4 hours (one hour after each contest at least) to try to find the best people to be her mentor over months, now she found one.
Julia works on the research how to learn, what to learn as a software programmer, over 6 years in the city of Vancouver. She just learn how other side of party, how to teach? Best talent people on algorithms choose to teach.
https://www.hackerrank.com/rpeng
OpenBracket CodeSprint • 7/ 2450 participants
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http://www.cc.gatech.edu/~rpeng/
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http://www.cc.gatech.edu/~rpeng/teachingstatement.pdf
Julia's favorite new teaching approach:
"My teaching draws upon my research in data structures, algorithms, graph theory, optimization, statistics, geometry, numerical analysis, and parallel computing. Connecting these topics and enabling students to effectively utilize key ideas from them is one of my main teaching goals. These connections are often best motivated by key problems on the boundaries of these areas. Solving such problems usually requires adapting various tools from these areas, leading to a deeper understanding of both the tools and the problems. For example, instead of presenting sorting algorithms and balanced search trees separately, I prefer to discuss applications that integrate them such as geometric plane sweep algorithms. I believe this problem oriented exposition is helpful for using the tools later on, as well as for moving towards open-ended exploration in an area."
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"I also seek opportunities to interact with students in a wider range of academic activities. Having participated in outreach activities such as math and programming camps while in high school, I regularly volunteered for them after graduating. Since 2006, I’ve been involved with the USA Computing Olympiad, whose annual online competitions attract around two thousand participants from high schools worldwide."
USA Computing Olympiad Team
http://usaco.org/index.php?page=staff
From January 2015, she started to practice leetcode questions; she trains herself to stay focus, develops "muscle" memory when she practices those questions one by one. 2015年初, Julia开始参与做Leetcode, 开通自己第一个博客. 刷Leet code的题目, 她看了很多的代码, 每个人那学一点, 也开通Github, 发表自己的代码, 尝试写自己的一些体会. She learns from her favorite sports – tennis, 10,000 serves practice builds up good memory for a great serve. Just keep going. Hard work beats talent when talent fails to work hard.
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