M\u1ed9t sinh vi\u00ean vi\u1ebft cho t\u00f4i: “H\u00e8 n\u0103m ngo\u00e1i em \u0111\u00e3 t\u1ed1t nghi\u1ec7p nh\u01b0ng c\u00f3 kh\u00f3 kh\u0103n t\u00ecm vi\u1ec7c l\u00e0m. Tuy nhi\u00ean, ti\u1ebfng Anh c\u1ee7a em l\u00e0 t\u1ed1t, cho n\u00ean em t\u00ecm vi\u1ec7c \u1edf c\u1eeda h\u00e0ng nh\u1ecf b\u00e1n qu\u00e0 bi\u1ebfu v\u00e0 \u0111\u1ed3 l\u01b0u ni\u1ec7m cho kh\u00e1ch du l\u1ecbch, nh\u01b0ng em kh\u00f4ng mu\u1ed1n l\u00e0m vi\u1ec7c \u0111\u00f3 cho ph\u1ea7n c\u00f2n l\u1ea1i c\u1ee7a \u0111\u1eddi em. Em mu\u1ed1n chuy\u1ec3n sang Khoa h\u1ecdc m\u00e1y t\u00ednh m\u00e0 c\u00f3 th\u1ec3 d\u1ec5 ki\u1ebfm vi\u1ec7c l\u00e0m h\u01a1n, nh\u01b0ng em kh\u00f4ng mu\u1ed1n gia \u0111\u00ecnh em ph\u1ea3i tr\u1ea3 ti\u1ec1n cho gi\u00e1o d\u1ee5c c\u1ee7a em l\u1ea7n n\u1eefa v\u00ec em v\u1eabn c\u00f2n em trai v\u00e0 g\u00e1i c\u1ea7n h\u1ed7 tr\u1ee3 c\u1ee7a gia \u0111\u00ecnh. Em kh\u00f4ng bi\u1ebft ph\u1ea3i l\u00e0m g\u00ec. Xin th\u1ea7y l\u1eddi khuy\u00ean.”<\/p>\n
<\/p>\n
\u0110\u00e1p: Ng\u00e0y nay, nhi\u1ec1u c\u00f4ng ti \u0111ang g\u1eb7p kh\u00f3 kh\u0103n trong vi\u1ec7c t\u00ecm c\u00f4ng nh\u00e2n c\u00f3 k\u0129 n\u0103ng c\u00f4ng ngh\u1ec7 th\u00f4ng tin v\u1edbi nh\u1eefng k\u0129 n\u0103ng \u0111\u1eb7c bi\u1ec7t m\u00e0 h\u1ecd c\u1ea7n. L\u00e0 ng\u01b0\u1eddi t\u1ed1t nghi\u1ec7p \u0111\u1ea1i h\u1ecdc v\u1eabn \u0111ang \u0111i t\u00ecm vi\u1ec7c l\u00e0m, \u0111\u00e2y l\u00e0 th\u1eddi gian t\u1ed1t nh\u1ea5t \u0111\u1ec3 h\u1ecdc k\u0129 n\u0103ng c\u00f4ng ngh\u1ec7 m\u1edbi. V\u00ec b\u1ea1n c\u00f3 k\u0129 n\u0103ng ti\u1ebfng Anh t\u1ed1t, c\u00f3 nhi\u1ec1u m\u00f4n h\u1ecdc tr\u1ef1c tuy\u1ebfn m\u1edf cho \u0111\u1ea1i ch\u00fang – Massive Open Online Courses (MOOCs) c\u00f3 th\u1ec3 l\u00e0m cho vi\u1ec7c h\u1ecdc \u0111\u01b0\u1ee3c d\u1ec5 d\u00e0ng h\u01a1n ngay c\u1ea3 so v\u1edbi vi\u1ec7c h\u1ecdc c\u00e1c k\u0129 n\u0103ng \u0111\u1eb7c bi\u1ec7t t\u1eeb c\u00e1c tr\u01b0\u1eddng h\u00e0ng \u0111\u1ea7u nh\u01b0 Harvard, MIT, Berkeley, v\u00e0 Stanford University. B\u1ea1n KH\u00d4NG ph\u1ea3i tr\u1ea3 ti\u1ec1n cho c\u00e1c m\u00f4n h\u1ecdc n\u00e0y, m\u1ecdi \u0111i\u1ec1u b\u1ea1n c\u1ea7n l\u00e0 th\u1eddi gian v\u00e0 cam k\u1ebft c\u1ee7a b\u1ea1n.<\/p>\n
T\u00f4i \u0111\u1eb7c bi\u1ec7t khuy\u00ean r\u1eb1ng b\u1ea1n ghi danh v\u00e0o c\u00e1c m\u00f4n h\u1ecdc sau: Nh\u1eadp m\u00f4n khoa h\u1ecdc m\u00e1y t\u00ednh; l\u1eadp tr\u00ecnh Java; khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 ph\u00e2n t\u00edch; ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m agile, v\u00e0 Nh\u00e0 doanh nghi\u1ec7p ph\u00e1t ki\u1ebfn. B\u1ea1n c\u00f3 th\u1ec3 ho\u00e0n th\u00e0nh c\u00e1c m\u00f4n h\u1ecdc n\u00e0y trong v\u00e0i th\u00e1ng v\u00e0 \u0111\u01b0a k\u0129 n\u0103ng m\u1edbi c\u1ee7a b\u1ea1n v\u00e0o b\u1ea3n l\u00ed l\u1ecbch c\u1ee7a b\u1ea1n. Nhi\u1ec1u c\u00f4ng ti coi c\u00e1c k\u0129 n\u0103ng l\u00e0 cao h\u01a1nn b\u1eb1ng c\u1ea5p. N\u1ebfu c\u1ea7n, b\u1ea1n c\u00f3 th\u1ec3 t\u00ecnh nguy\u1ec7n l\u00e0m vi\u1ec7c nh\u01b0 ng\u01b0\u1eddi th\u1ef1c t\u1eadp \u0111\u1ec3 cho h\u1ecd th\u1ea5y r\u1eb1ng b\u1ea1n qu\u1ea3 c\u00f3 c\u00e1c k\u0129 n\u0103ng \u0111\u01b0\u1ee3c c\u1ea7n.<\/p>\n
S\u1ef1 ki\u1ec7n \u0111\u00e1ng bu\u1ed3n l\u00e0 nhi\u1ec1u sinh vi\u00ean kh\u00f4ng c\u00f3 \u0111\u1ee7 nghi\u00eam ch\u1ec9nh \u0111\u1ec3 ho\u00e0n th\u00e0nh c\u00e1c m\u00f4n h\u1ecdc n\u00e0y. Nhi\u1ec1u ng\u01b0\u1eddi v\u00e0o l\u1edbp t\u1eeb t\u00f2 m\u00f2 r\u1ed3i b\u1ecf n\u1eeda ch\u1eebng. Tuy nhi\u00ean, n\u1ebfu b\u1ea1n \u0111\u01b0a th\u1eddi gian v\u00e0 n\u1ed7 l\u1ef1c c\u1ee7a b\u1ea1n v\u00e0o, t\u00f4i tin b\u1ea1n c\u00f3 th\u1ec3 ho\u00e0n th\u00e0nh t\u1ea5t c\u1ea3 n\u0103m m\u00f4n n\u00e0y. V\u00e0 ph\u1ea7n th\u01b0\u1edfng l\u00e0 b\u1ea1n s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c ch\u1ee9ng ch\u1ec9 ho\u00e0n th\u00e0nh t\u1eeb \u0111\u1ea1i hoc Harvard danh ti\u1ebfng \u0111\u1ec3 \u0111\u01b0a v\u00e0o b\u1ea3n l\u00ed l\u1ecbch c\u1ee7a b\u1ea1n. \u0110\u00e2y l\u00e0 n\u0103m m\u00f4n m\u00e0 t\u00f4i h\u1ebft l\u00f2ng khuy\u00ean:
\n1)\u00a0 \u00a0 \u00a0Nh\u1eadp m\u00f4n khoa h\u1ecdc m\u00e1y t\u00ednh (Harvard University CS50x)<\/p>\n
https:\/\/www.edx.org\/course\/introduction-computer-science-harvardx-cs50x#<\/a><\/p>\n M\u00f4n h\u1ecdc CS50x c\u1ee7a HarvardUniversity l\u00e0 m\u00f4n nh\u1eadp m\u00f4n to\u00e0n di\u1ec7n v\u00e0o khoa h\u1ecdc m\u00e1y t\u00ednh v\u00e0 ngh\u1ec7 thu\u1eadt l\u1eadp tr\u00ecnh cho m\u1ecdi sinh vi\u00ean Harvard, d\u00f9 c\u00f3 hay kh\u00f4ng c\u00f3 kinh nghi\u1ec7p l\u1eadp tr\u00ecnh. M\u00f4n h\u1ecdc m\u1ee9c m\u1edbi v\u00e0o n\u00e0y d\u1ea1y cho sinh vi\u00ean c\u00e1ch ngh\u0129 theo thu\u1eadt to\u00e1n v\u00e0 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3. C\u00e1c ch\u1ee7 \u0111i\u1ec3m bao g\u1ed3n tr\u1eebu t\u01b0\u1ee3ng ho\u00e1, thu\u1eadt to\u00e1n, c\u1ea5u tr\u00fac d\u1eef li\u1ec7u, bao b\u1ecdc, qu\u1ea3n l\u00ed t\u00e0i nguy\u00ean, an ninh, k\u0129 ngh\u1ec7 ph\u1ea7n m\u1ec1m, v\u00e0 ph\u00e1t tri\u1ec3n web. C\u00e1c ng\u00f4n ng\u1eef bao g\u1ed3m C, PHP, v\u00e0 JavaScript c\u1ed9ng v\u1edbi SQL, CSS, v\u00e0 HTML. https:\/\/www.edx.org\/course\/introduction-java-programming-part-1-hkustx-comp102-1x-2#<\/a><\/p>\n M\u00f4n Java n\u00e0y t\u1eeb \u0111\u1ea1i h\u1ecdc Khoa h\u1ecdc v\u00e0 c\u00f4ng ngh\u1ec7 H\u1ed3ng K\u00f4ng s\u1ebd cung c\u1ea5p cho b\u1ea1n hi\u1ec3u bi\u1ebft v\u1eefng ch\u1eafc v\u1ec1 c\u00e1c y\u1ebfu t\u1ed1 l\u1eadp tr\u00ecnh Java c\u0103n b\u1ea3n v\u00e0 tr\u1eebu t\u01b0\u1ee3ng d\u1eef li\u1ec7u d\u00f9ng bi\u1ec3u di\u1ec5n v\u1ea5n \u0111\u1ec1 v\u00e0 khu\u00f4n kh\u1ed5 h\u01b0\u1edbng \u0111\u1ed1i t\u01b0\u1ee3ng. Java l\u00e0 m\u1ed9t trong nh\u1eefng ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh ph\u1ed5 bi\u1ebfn nh\u1ea5t tr\u00ean th\u1ebf gi\u1edbi v\u00e0 l\u00e0 c\u01a1 s\u1edf cho nhi\u1ec1u \u1ee9ng d\u1ee5ng c\u0169ng nh\u01b0 cho nhi\u1ec1u gi\u1ea3i ph\u00e1p d\u1ef1a tr\u00ean web v\u00e0 websites.<\/p>\n M\u00f4n h\u1ecdc n\u00e0y d\u00f9ng c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng m\u1eabu nh\u01b0 \u1ea3nh ch\u1ee5p hay h\u00ecnh \u1ea3nh \u0111\u1ec3 minh ho\u1ea1 cho m\u1ed9t s\u1ed1 kh\u00e1i ni\u1ec7m quan tr\u1ecdng \u0111\u1ec3 n\u00e2ng cao hi\u1ec3u bi\u1ebft v\u00e0 gi\u1eef l\u1ea1i. Sinh vi\u00ean s\u1ebd h\u1ecdc vi\u1ebft ch\u01b0\u01a1ng tr\u00ecnh th\u1ee7 t\u1ee5c d\u00f9ng c\u00e1c bi\u1ebfn, m\u1ea3ng, c\u00e2u l\u1ec7nh \u0111i\u1ec1u khi\u1ec3n, chu tr\u00ecnh, \u0111\u1ec7 qui, tr\u1eebu t\u01b0\u1ee3ng d\u1eef li\u1ec7u v\u00e0 \u0111\u1ed1i t\u01b0\u1ee3ng trong m\u00f4i tr\u01b0\u1eddng ph\u00e1t tri\u1ec3n \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p. https:\/\/www.edx.org\/course\/introduction-python-data-science-microsoft-dat208x-5<\/a><\/p>\n M\u00f4n n\u00e0y b\u1eaft ngu\u1ed3n t\u1eeb Microsoft. N\u00f3 th\u0103m d\u00f2 nhi\u1ec1u c\u00f4ng c\u1ee5 \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 v\u00e0 hi\u1ec7u l\u1ef1c b\u1eb1ng vi\u1ec7c d\u00f9ng ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python m\u1ea1nh. B\u1ea1n s\u1ebd b\u1eaft \u0111\u1ea7u v\u1edbi c\u00e1c ph\u00e9p to\u00e1n s\u1ed1 h\u1ecdc c\u0103n b\u1ea3n v\u00e0 c\u00e1c bi\u1ebfn, r\u1ed3i h\u1ecdc c\u00e1ch x\u1eed tr\u00ed c\u00e1c c\u1ea5u tr\u00fac d\u1eef li\u1ec7u, nh\u01b0 danh s\u00e1ch Python, m\u1ea3ng s\u1ed1, v\u00e0 Pandas DataFrames. Tr\u00ean \u0111\u01b0\u1eddng, b\u1ea1n s\u1ebd h\u1ecdc v\u1ec1 c\u00e1c h\u00e0m v\u00e0 lu\u1ed3ng \u0111i\u1ec1u khi\u1ec3n c\u1ee7a Python. Th\u00eam v\u00e0o \u0111\u00f3, b\u1ea1n s\u1ebd nh\u00ecn v\u00e0o th\u1ebf gi\u1edbi c\u1ee7a tr\u1ef1c quan ho\u00e1 d\u1eef li\u1ec7u v\u1edbi Python v\u00e0 t\u1ea1o ra c\u00e1c tr\u1ef1c quan ho\u00e1 g\u00e2y \u1ea5n t\u01b0\u1ee3ng s\u00e2u s\u1eafc d\u1ef1a tr\u00ean d\u1eef li\u1ec7u th\u1ef1c. https:\/\/www.edx.org\/xseries\/agile-development-using-ruby-rails<\/a><\/p>\n M\u00f4n n\u00e0y b\u1eaft ngu\u1ed3n t\u1eeb UC Berkeley. Ng\u00e0y nay qu\u00e3ng 80 ph\u1ea7n tr\u0103m c\u00e1c c\u00f4ng ti d\u00f9ng agile cho d\u1ef1 \u00e1n ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m. M\u00f4n n\u00e0y d\u1ea1y c\u00e1c k\u0129 n\u0103ng k\u0129 ngh\u1ec7 ph\u1ea7n m\u1ec1m n\u1ec1n t\u1ea3ng d\u00f9ng Ruby on Rails, JavaScript v\u00e0 ph\u01b0\u01a1ng ph\u00e1p lu\u1eadn ph\u00e1t tri\u1ec3n agile v\u1edbi vi\u1ec7c d\u00f9ng c\u00e1ch ti\u1ebfp c\u1eadn “h\u1ecdc qua h\u00e0nh”. Sinh vi\u00ean s\u1ebd d\u00f9ng c\u00f9ng c\u00e1c c\u00f4ng c\u1ee5 v\u00e0 k\u0129 thu\u1eadt nh\u01b0 c\u00e1c nh\u00e0 chuy\u00ean nghi\u1ec7p CNTT ng\u00e0y nay, nh\u01b0 ph\u00e1t tri\u1ec3n c\u00f3 ki\u1ec3m th\u1eed d\u1eabn l\u1ed1i, thi\u1ebft k\u1ebf do h\u00e0nh vi d\u1eabn l\u1ed1i, t\u00edch h\u1ee3p li\u00ean t\u1ee5c v\u00e0 ph\u00e1t tri\u1ec3n li\u00ean t\u1ee5c l\u00ean m\u00e2y c\u00f4ng, theo edX. https:\/\/www.edx.org\/course\/you-can-innovate-user-innovation-mitx-bootcamp0-0#<\/a><\/p>\n M\u00f4n h\u1ecdc n\u00e0y b\u1eaft ngu\u1ed3n t\u1eeb MIT. N\u00f3 khuy\u1ebfn kh\u00edch h\u1ecdc sinh nh\u1eadn di\u1ec7n v\u1ea5n \u0111\u1ec1, ph\u00e1t tri\u1ec3n gi\u1ea3i ph\u00e1p v\u00e0 r\u1ed3i l\u00e0m vi\u1ec7c \u0111\u1ec3 ti\u1ec1n t\u1ec7 ho\u00e1 \u0111i\u1ec1u \u0111\u00f3 qua b\u1ea3n k\u1ebf ho\u1ea1ch doanh nghi\u1ec7p. \u0110\u1ea7u ti\u00ean, ngh\u0129 v\u1ec1 \u0111i\u1ec1u b\u1ea1n c\u1ea7n. Ti\u1ebfp \u0111\u00f3, t\u00ecm ra li\u1ec7u nh\u1eefng ng\u01b0\u1eddi kh\u00e1c c\u00f3 mu\u1ed1n c\u00f9ng \u0111i\u1ec1u n\u00e0y kh\u00f4ng. N\u1ebfu h\u1ecd mu\u1ed1n, b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u m\u1ea1o hi\u1ec3m cung c\u1ea5p cho ng\u01b0\u1eddi kh\u00e1c s\u1ea3n ph\u1ea9m hay d\u1ecbch v\u1ee5 b\u1ea1n \u0111\u00e3 ph\u00e1t tri\u1ec3n ban \u0111\u1ea7u cho b\u1ea3n th\u00e2n b\u1ea1n. C\u00e1c v\u00ed d\u1ee5 v\u1ec1 ph\u00e1t ki\u1ebfn ng\u01b0\u1eddi d\u00f9ng l\u00e0 v\u00f4 h\u1ea1n; m\u1ed9t ng\u01b0\u1eddi l\u01b0\u1edbt s\u00f3ng \u0111\u00e3 t\u1ea1o ra GoPro \u0111\u1ec3 t\u1ef1 ch\u1ee5p \u1ea3nh m\u00ecnh trong khi l\u01b0\u1edbt s\u00f3ng. M\u1ed9t sinh vi\u00ean \u0111i t\u1edbi Dropbox sau khi qu\u00ean m\u1ea5t \u1ed5 \u0111\u0129a th\u1ebb nh\u1edb. Hai nh\u00e0 doanh nghi\u1ec7p kh\u00e1nh ki\u1ec7t cho thu\u00ea ph\u00f2ng kh\u00e1ch c\u1ee7a h\u1ecd \u0111\u1ec3 gi\u00fap tr\u1ea3 ti\u1ec1n thu\u00ea, v\u00e0 Airbnb \u0111\u01b0\u1ee3c sinh ra. T\u1ea5t c\u1ea3 h\u1ecd \u0111\u1ec1u c\u00f3 chung con \u0111\u01b0\u1eddng t\u1edbi th\u00e0nh c\u00f4ng c\u1ee7a c\u00f4ng ti kh\u1edfi nghi\u1ec7p trong m\u00f4n h\u1ecdc n\u00e0y, \u0111\u01b0\u1ee3c Eric von Hippel d\u1ea1y.<\/p>\n <\/p>\n —English version—<\/p>\n <\/p>\n Advice to Non-Computer Graduates<\/p>\n A student wrote to me: “I graduated last summer but had difficulty to find a job. However, my English is good, so I find work in a small shop selling gifts and souvenirs for tourists, but I do not want to do that for the rest of my life. I want to switch to Computer Science which may be easier to find a job, but I do not want my family pays for my education again because I still have brother and sisters that need my parents’ support. I do not know what to do. Please advise.”<\/p>\n <\/p>\n Answer: Today, many companies are having difficulty in finding Information Technology skilled workers with specific skills that they need. As a college graduates who is still looking for a job, this is the best time to learn new technology skills. Since you have good English skills, there are several Massive Open Online Courses (MOOCs) that can make it easier than ever to learn specific skills from top schools such as Harvard, MIT, Berkeley, and StanfordUniversity. You do NOT have to pay for these courses, all you need is your time and commitment.<\/p>\n I highly recommend that you enroll in the following courses: Introduction to computer science; Java programming; data science and analytics; agile software development, and Innovation entrepreneur. You could complete these courses in few months and put the new skills on your resume. Many companies would consider the skills over the degree. If needed, you may volunteer to work as an intern for them to see that you do have the needed skills.<\/p>\n The sad fact is many students are not serious enough to complete these courses. Many took class out of curiosity then drop out. However, if you put in your time and efforts, I believe you could complete all five courses. And the reward is you will receive certificates of completion from the prestigious HarvardUniversity to put on your resume. Here are the five courses that I highly recommend: https:\/\/www.edx.org\/course\/introduction-computer-science-harvardx-cs50x#<\/a><\/p>\n HarvardUniversity’s CS50x course is a comprehensive introduction to computer science and the art of programming for all Harvard students, with or without prior programming experience. This entry-level course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. https:\/\/www.edx.org\/course\/introduction-java-programming-part-1-hkustx-comp102-1x-2#<\/a><\/p>\n This Java course from Hong Kong University of Science and Technology will provide you with a strong understanding of basic Java programming elements and data abstraction using problem representation and the object-oriented framework. Java is one of the most popular programming languages in the world and is the basis for many applications as well as a foundation for many web-based solutions and websites.<\/p>\n This course uses sample objects such as photos or images to illustrate some important concepts to enhance understanding and retention. Student will learn to write procedural programs using variables, arrays, control statements, loops, recursion, data abstraction and objects in an integrated development environment. https:\/\/www.edx.org\/course\/introduction-python-data-science-microsoft-dat208x-5<\/a><\/p>\n This course comes from Microsoft. It explores the multiple tools developed to effectively and efficiently analyze data using the powerful Python programming language. You will start with basic arithmetic and variables, then learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your stunning visualizations based on real data.
\n2)\u00a0 \u00a0 \u00a0Nh\u1eadp m\u00f4n v\u00e0o l\u1eadp tr\u00ecnh Java (Hong KongUniversity)<\/p>\n
\n3)\u00a0 \u00a0 \u00a0Nh\u1eadp m\u00f4n Python cho khoa h\u1ecdc d\u1eef li\u1ec7u (Microsoft)<\/p>\n
\n4)\u00a0 \u00a0 \u00a0Agile d\u00f9ng Ruby on Rails (UC Berkeley)<\/p>\n
\n5)\u00a0 \u00a0 \u00a0Ph\u00e1t ki\u1ebfn ng\u01b0\u1eddi d\u00f9ng: Con \u0111\u01b0\u1eddng t\u1edbi kh\u1edfi nghi\u1ec7p (MIT)<\/p>\n
\n1)\u00a0 \u00a0 \u00a0Introduction to computer science (Harvard University CS50x)<\/p>\n
\n2)\u00a0 \u00a0 \u00a0Introduction to Java Programming (Hong KongUniversity)<\/p>\n
\n3)\u00a0 \u00a0 \u00a0Introduction to Python for Data Science (Microsoft)<\/p>\n
\n4)\u00a0 \u00a0 \u00a0Agile using Ruby on Rails (UC Berkeley)<\/p>\n