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  • Watch the Geminid Meteors Tonight

    - by Jason Fitzpatrick
    Tonight is the peak of the Geminid Meteor shower, if you don’t mind braving the cold and have a spot relatively free from light pollution to stretch out in you’ll be able to enjoy one of the more brilliant and busy meteor showers of the year. Sky and Telescope magazine reports on the Geminid Meteor shower: If it’s clear late Thursday night, December 13th, 2012, keep a lookout high overhead for the shooting stars of the Geminid meteor shower. The Geminids are usually one of the two best meteor showers of the year, often beating out the Perseids of August. And this year there’s no moonlight to interfere. Under a clear, dark sky, you may see at least one Geminid per minute on average from roughly 10 p.m. Thursday until dawn Friday morning. If you live under the artificial skyglow of light pollution your numbers will be less, but the brightest meteors will still shine through. Hit up the link below to read the full article and learn more about the Geminid Meteor shower. Secure Yourself by Using Two-Step Verification on These 16 Web Services How to Fix a Stuck Pixel on an LCD Monitor How to Factory Reset Your Android Phone or Tablet When It Won’t Boot

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  • The Birth and Life of a Disk Galaxy [Video]

    - by Jason Fitzpatrick
    In this video, rendered over a million CPU hours by the Pleiades supercomputer at NASA’s Ames Research Center, we see the birth and life of a massive disk galaxy. Computer Model Shows a Disk Galaxy’s Life History [via Geeks Are Sexy] HTG Explains: Why It’s Good That Your Computer’s RAM Is Full 10 Awesome Improvements For Desktop Users in Windows 8 How To Play DVDs on Windows 8

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  • Master's in Software Engineering vs. Master's in Computer Science: which degree is preferred by empl

    - by dbarker
    I've been building software professionally for 7 years and am considering a master's degree. I understand the difference between these two degrees as simply: MSCS is the theory while MSE is the practice. I'm equally interested in both and would be happy with either, although I'm curious how these degrees rank in the eyes of a potential employer. I could see two views that a hiring manager could possibly take: a MSCS is loftier and has an implied knowledge of Software Engineering an MSE is more practical and has an implied knowledge of Computer Science In my own experience I've seen both MSCS degree holders than cannot program at all while others are among the best programmers I've met, so of course actual ability will depend on the individual. My question is about the "on paper" value of these two degrees when seeking a job. All things considered, is one degree more hirable, higher-paying than the other?

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  • What is the best method of assessment for computer science students?

    - by Gavimoss
    This question is a bit more philosophical so feel free to remove if you like but it's been bugging me for the last 4 years! As a final year student I find that exams can be often be passed with a couple of days of cramming, without necessarily retaining or understanding the content i.e. a regurgitation of lecture notes is often enough to gain high marks. A friend of mine is about to graduate with an honours degree whose final year evaluation was based solely on practical work (a project, assignment marks and the creation of a poster) yet all of this work could have been completed by a third party. Personally I don't think either of these methods of assessment is sufficient as I am currently on track for a 1st class honours in artificial intelligence and computer science and believe this is mostly due to my skill in passing exams not my skill as a programmer or my vast in depth knowledge of any of the subjects I have "studied". Surely there is a better way to assess our skills - isn't there?

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  • What computer science topic am I trying to describe?

    - by ItzWarty
    I've been programming for around... 6-8 years, and I've begun to realize that I don't really know what really happens at the low-ish level when I do something like int i = j%348 The thing is, I know what j%348 does, it divides j by 348 and finds the remainder. What I don't know is HOW the computer does this. Similarly, I know that try { blah(); }catch(Exception e){ blah2(); } will invoke blah and if blah throws, it will invoke blah2... however, I have no idea how the computer does this instead of err... crashing or ending execution. And I figure that in order for me to get "better" at programming, I should probably know what my code is really doing. [This would probably also help me optimize and... err... not do stupid things] I figure that what I'm asking for is probably something huge taught in universities or something, but to be honest, if I could learn a little, I would be happy. The point of the question is: What topic/computer-science-course am I asking about? Because in all honesty, I don't know. Since I don't know what the topic is called, I'm unable to actually find a book or online resource to learn about the topic, so I'm sort of stuck. I'd be eternally thankful if someone helped me =/

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  • What are graphs in laymen's terms

    - by Justin984
    What are graphs, in computer science, and what are they used for? In laymen's terms preferably. I have read the definition on Wikipedia: In computer science, a graph is an abstract data type that is meant to implement the graph and hypergraph concepts from mathematics. A graph data structure consists of a finite (and possibly mutable) set of ordered pairs, called edges or arcs, of certain entities called nodes or vertices. As in mathematics, an edge (x,y) is said to point or go from x to y. The nodes may be part of the graph structure, or may be external entities represented by integer indices or references. but I'm looking for a less formal, easier to understand definition.

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  • How to Make a 9 Layer Density Column [Video]

    - by Jason Fitzpatrick
    Density columns, layers of varying density liquid in a glass cylinder, are nothing new in the world of science demonstrations, but this nine layer one with seven floating objects is something to see. Courtesy of Steve Spangler Science, the experiment goes above and beyond the traditional five layer column by adding another four layers and sinking objects of varying density into the column. The end result is a colorful demonstration of the varying densities of liquids and solids. [via Boing Boing] How To Get a Better Wireless Signal and Reduce Wireless Network Interference How To Troubleshoot Internet Connection Problems 7 Ways To Free Up Hard Disk Space On Windows

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  • Masters vs. PhD - long [closed]

    - by Sterling
    I'm 21 years old and a first year master's computer science student. Whether or not to continue with my PhD has been plaguing me for the past few months. I can't stop thinking about it and am extremely torn on the issue. I have read http://www.cs.unc.edu/~azuma/hitch4.html and many, many other masters vs phd articles on the web. Unfortunately, I have not yet come to a conclusion. I was hoping that I could post my ideas about the issue on here in hopes to 1) get some extra insight on the issue and 2) make sure that I am correct in my assumptions. Hopefully having people who have experience in the respective fields can tell me if I am wrong so I don't make my decision based on false ideas. Okay, to get this topic out of the way - money. Money isn't the most important thing to me, but it is still important. It's always been a goal of mine to make 6 figures, but I realize that will probably take me a long time with either path. According to most online salary calculating sites, the average starting salary for a software engineer is ~60-70k. The PhD program here is 5 years, so that's about 300k I am missing out on by not going into the workforce with a masters. I have only ever had ~1k at one time in my life so 300k is something I can't even really accurately imagine. I know that I wouldn't have at once obviously, but just to know I would be earning that is kinda crazy to me. I feel like I would be living quite comfortably by the time I'm 30 years old (but risk being too content too soon). I would definitely love to have at least a few years of my 20s to spend with that kind of money before I have a family to spend it all on. I haven't grown up very financially stable so it would be so nice to just spend some money…get a nice car, buy a new guitar or two, eat some good food, and just be financially comfortable. I have always felt like I deserved to make good money in my life, even as a kid growing up, and I just want to have it be a reality. I know that either path I take will make good money by the time I'm ~40-45 years old, but I guess I'm just sick of not making money and am getting impatient about it. However, a big idea pushing me towards a PhD is that I feel the masters path would give me a feeling of selling out if I have the capability to solve real questions in the computer science world. (pretty straight-forward - not much to elaborate on, but this is a big deal) Now onto other aspects of the decision. I originally got into computer science because of programming. I started in high school and knew very soon that it was what I wanted to do for a career. I feel like getting a masters and being a software engineer in the industry gives me much more time to program in my career. In research, I feel like I would spend more time reading, writing, trying to get grant money, etc than I would coding. A guy I work with in the lab just recently published a paper. He showed it to me and I was shocked by it. The first two pages was littered with equations and formulas. Then the next page or so was followed by more equations and formulas that he derived from the previous ones. That was his work - breaking down and creating all of these formulas for robotic arm movement. And whenever I read computer science papers, they all seem to follow this pattern. I always pictured myself coding all day long…not proving equations and things of that nature. I know that's only one part of computer science research, but that part bores me. A couple cons on each side - Phd - I don't really enjoy writing or feel like I'm that great at technical writing. Whenever I'm in groups to make something, I'm always the one who does the large majority of the work and then give it to my team members to write up a report. Presenting is different though - I don't mind presenting at all as long as I have a good grasp on what I am presenting. But writing papers seems like such a chore to me. And because of this, the "publish or perish" phrase really turns me off from research. Another bad thing - I feel like if I am doing research, most of it would be done alone. I work best in small groups. I like to have at least one person to bounce ideas off of when I am brainstorming. The idea of being a part of some small elite group to build things sounds ideal to me. So being able to work in small groups for the majority of my career is a definite plus. I don't feel like I can get this doing research. Masters - I read a lot online that most people come in as engineers and eventually move into management positions. As of now, I don't see myself wanting to be a part of management. Lets say my company wanted to make some new product or system - I would get much more pride, enjoyment, and overall satisfaction to say "I made this" rather than "I managed a group of people that made this." I want to be a big part of the development process. I want to make things. I think it would be great to be more specialized than other people. I would rather know everything about something than something about everything. I always have been that way - was a great pitcher during my baseball years, but not so good at everything else, great at certain classes in school, but not so good at others, etc. To think that my career would be the same way sounds okay to me. Getting a PhD would point me in this direction. It would be great to be some guy who is someone that people look towards and come to ask for help because of being such an important contributor to a very specific field, such as artificial neural networks or robotic haptic perception. From what I gather about the software industry, being specialized can be a very bad thing because of the speed of the new technology. I When it comes to being employed, I have pretty conservative views. I don't want to change companies every 5 years. Maybe this is something everyone wishes, but I would love to just be an important person in one company for 10+ (maybe 20-25+ if I'm lucky!) years if the working conditions were acceptable. I feel like that is more possible as a PhD though, being a professor or researcher. The more I read about people in the software industry, the more it seems like most software engineers bounce from company to company at rapid paces. Some even work like a hired gun from project to project which is NOT what I want AT ALL. But finding a place to make great and important software would be great if that actually happens in the real world. I'm a very competitive person. I thrive on competition. I don't really know why, but I have always been that way even as a kid growing up. Competition always gave me a reason to practice that little extra every night, always push my limits, etc. It seems to me like there is no competition in the research world. It seems like everyone is very relaxed as long as research is being conducted. The only competition is if someone is researching the same thing as you and its whoever can finish and publish first (but everyone seems to careful to check that circumstance). The only noticeable competition to me is just with yourself and your own discipline. I like the idea that in the industry, there is real competition between companies to put out the best product or be put out of business. I feel like this would constantly be pushing me to be better at what I do. One thing that is really pushing me towards a PhD is the lifetime of the things you make. I feel like if you make something truly innovative in the industry…just some really great new application or system…there is a shelf-life of about 5-10 years before someone just does it faster and more efficiently. But with research work, you could create an idea or algorithm that last decades. For instance, the A* search algorithm was described in 1968 and is still widely used today. That is amazing to me. In the words of Palahniuk, "The goal isn't to live forever, its to create something that will." Over anything, I just want to do something that matters. I want my work to help and progress society. Seriously, if I'm stuck programming GUIs for the next 40 years…I might shoot myself in the face. But then again, I hate the idea that less than 1% of the population will come into contact with my work and even less understand its importance. So if anything I have said is false then please inform me. If you think I come off as a masters or PhD, inform me. If you want to give me some extra insight or add on to any point I made, please do. Thank you so much to anyone for any help.

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  • In the absense of a CS degree, how can I "fill in the gaps" so to speak?

    - by Richard DesLonde
    The problem here is that "I don't know what I don't know". How can I fill in those gaps? What is it that a computer science degreed person will know that I don't? Note: This isn't a personal question. I'm not asking you to read my mind so you can tell me where my knowledge is lacking. I'm really asking "Where/how can I get the knowledge a computer science degree would give me, without getting one?" Example: I don't know anything about compilers, but I understand that comp sci majors often are required to write some sort of compiler. This seems like something that would be useful to know. Etc.

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  • Nervous about the "real" world

    - by Randy
    I am currently majoring in Computer Science and minoring in mathematics (the minor is embedded in the major). The program has a strong C++ curriculum. We have done some UNIX and assembly language (not fun) and there is C and Java on the way in future classes that I must take. The program I am in did not use the STL, but rather a STL-ish design that was created from the ground up for the program. From what I have read on, the STL and what I have taken are very similar but what I used seemed more user friendly. Some of the programs that I had to write in C++ for assignments include: a password server that utilized hashing of the passwords for security purposes, a router simulator that used a hash table and maps, a maze solver that used depth first search, a tree traveler program that traversed a tree using levelorder, postorder, inorder, selection sort, insertion sort, bit sort, radix sort, merge sort, heap sort, quick sort, topological sort, stacks, queues, priority queues, and my least favorite, red-black trees. All of this was done in three semesters which was just enough time to code them up and turn them in. That being said, if I was told to use a stack to convert an equation to infix notation or something, I would be lost for a few hours. My main concern in writing this is when I graduate and land an interview, what are some of the questions posed to assess my skills? What are some of the most important areas of computer science that are prevalent in the field? I am currently trying to get some ideas of programs I can write in C++ that interest and challenge me to keep learning the language. A sodoku solver came to mind but am lost as to where to start. I apologize for the rant, but I'm just a wee bit nervous about the future. Any tips are appreciated.

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  • A Trip to the Moon (Le Voyage dans la Lune) [Super Retro Classic Sci-Fi Video]

    - by Asian Angel
    If you are into retro sci-fi movies, then you will definitely want to have a look at this French classic from 1902. This silent movie is only 10.5 minutes long, but is well worth watching and makes for a fun romp through the early days of sci-fi. From YouTube: A Trip to the Moon (French: Le Voyage dans la lune) is a 1902 French black and white silent science fiction film. It is loosely based on two popular novels of the time: From the Earth to the Moon by Jules Verne and The First Men in the Moon by H. G. Wells. The film was written and directed by Georges Melies, assisted by his brother Gaston. The film runs 14 minutes if projected at 16 frames per second, which was the standard frame rate at the time the film was produced. It was extremely popular at the time of its release and is the best-known of the hundreds of fantasy films made by Melies. A Trip to the Moon is the first science fiction film, and utilizes innovative animation and special effects, including the iconic shot of the rocketship landing in the Moon’s eye. A Trip to the Moon / Le Voyage dans la lune – 1902 [via 20 best designs in sci-fi movies - Page 3 (Creative Bloq)] How to Use an Xbox 360 Controller On Your Windows PC Download the Official How-To Geek Trivia App for Windows 8 How to Banish Duplicate Photos with VisiPic

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  • How to learn the math behind the code?

    - by Solomon Wise
    I am a 12 year old who has recently gotten into programming. (Although I know that the number of books you have read does not determine your programming competency or ability, just to paint a "map" of where I am in terms of the content I know...) I've finished the books: Python 3 For Absolute Beginners Pro Python Python Standard Library by Example Beautiful Code Agile Web Development With Rails and am about halfway into Programming Ruby. I have written many small programs (One that finds which files have been updated and deleted in a directory, one that compares multiple players' fantasy baseball value, and some text based games, and many more). Obviously, as I'm not some sort of child prodigy, I can't take a formal Computer Science course until high school. I really want to learn computer science to increase my knowledge about the code, and the how the code runs. I've really become interested in the math part after reading the source code for Python's random module. Is there a place where I can learn CS, or programming math online for free, at a level that would be at least partially understandable to a person my age?

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  • Why is CS never a topic of conversation of the layman? [closed]

    - by hydroparadise
    Granted, every profession has it's technicalities. If you are an MD, you better know the anatomy of the human body, and if you are astronomer, you better know your calculus. Yet, you don't have to know these more advance topics to know that smoking might give you lung cancer because of carcinogens or the moon revolves around the earth because of gravity (thank you Discovery Channel). There's sort of a common knowledge (at least in more developed countries) of these more advanced topics. With that said, why are things like recursive descent parsing, BNF, or Turing machines hardly ever mentioned outsided 3000 or 4000 level classes in a university setting or between colleagues? Even back in my days before college in my pursuit of knowledge on how computers work, these very important topics (IMHO) never seem to get the light of day. Many different sources and sites go into "What is a processor?" or "What is RAM?", or "What is an OS?". You might get lucky and discover something about programming languages and how they play a role in how applications are created, but nothing about the tools for creating the language itself. To extend this idea, Dennis Ritchie died shortly after Steve Jobs, yet Dennis Ritchie got very little press compared to Steve Jobs. So, the heart of my question: Does the public in general not care to hear about computer science topics that make the technology in their lives work, or does the computer science community not lend itself to the general public to close the knowledge gap? Am I wrong to think the general public has the same thirst for knowledge on how things work as I do? Please consider the question carefully before answering or vote closing please.

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  • What was your most useful/inspiring computer science course?

    - by MPelletier
    I'm currently taking one course per semester, remotely, in a short 5 year program. My aim is to get better at my trade (programming and analysis, not surprisingly). However, I find that I'm not inspired by my choice of classes for next semester. Maybe I'm being too judgmental. I'd like to know what positive experience was gained from a course in particular. Have ou had a course that turned out to be an idea catalyst?

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  • Soon to be PhD in Computer Science - Which Path to Follow?

    - by mttr
    I am going to submit my PhD thesis within the next six months. My PhD is on managing the availabiity of large-scale distributed systems, so I have some experience actually building non-trivial systems (+ I have four years experience working as a programmer). I am now trying to figure out what I should do following the PhD. I enjoy research (a quick definition: identify problem, come up with solution, ask interesting questions, find ways to answer them, build system, experiment, contribute some new knowledge and publish). I also like teaching and supervising students. It would seem that a career in academia is the ideal thing to do (can work on non-trivial problems and contribute something of use to some or more people). However, a career in academia has two significant drawbacks. First, it can be difficult to gain access to real systems with real users which then display real problems. This creates the danger that you do work that seems important (to you and maybe to some of your colleagues), but is not really relevant to anything or anyone. Second, the pay is pretty sad. Apparently, you have to sacrifice this for the privilege of doing research. I enjoy programming, but don't just want to hack some web-based system for the rest of my life. That is, working in IT for a bank is not a future I see myself enjoying. I want to work on interesting problms (that's difficult to define clearly): things where you don't know how to start, that take some time to figure out and attack, that require a rigorous approach to demonstrate that the problem has been solved, and problems that need a solution in the real world. Give the experience of people on stackoverflow, what do you think suitable options are and why (or alternatively, what gaps in my thinking does the above reveal)? Is industrial research (aka IBM Research, Microsoft Research) the only alternative avenue to a career in academia? What other areas, companies, occupations, etc. could provide me with stimulating, inspiring work? Which regions, countries am I most likely to find such work? Please share your experience.

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  • Ideas for Computer Science related Microteaching

    - by Roman Stolper
    This semester, I will be a TA for an introductory computer science course at my university. As part of TA training, I'll be doing something called Microteaching, which is where I teach for 5-7 minutes in front of a small audience (4-5 people) and I am reviewed on my teaching style. Among being critiqued on my personal things like confidence and eye contact, I will be critiqued on how well I know the subject material, as well as how interesting it is to the audience. So my question is: Can you offer me any suggestions of computer science related topics that: I can begin and finish teaching in a span of 5-7 minutes Are fun to learn about Are accessible to a general engineering (but not necessarily computer science) audience Some topics I have considered: Teaching how to write Hello World in some simple language Introducing a synchronization problem like dining philosophers

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  • Why is Software Engineering not the typical major for future software developers?

    - by FarmBoy
    While most agree that a certain level of Computer Science is essential to being a good programmer, it seems to me that the principles of good software development is even more important, though not as fundamental. Just like mechanical engineers take physics classes, but far more engineering classes, I would expect, now that software is over a half century old, that software development would begin to dominate the undergraduate curriculum. But I don't see much evidence of this. Is there a reason that Software Engineering hasn't taken hold as an academic discipline?

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  • The Moon Illusion Explained [Video]

    - by Jason Fitzpatrick
    When the moon is on the horizon it looks radically larger than it does up in the sky; check out this video to see the science behind the illusion. [via Geeks Are Sexy] What Is the Purpose of the “Do Not Cover This Hole” Hole on Hard Drives? How To Log Into The Desktop, Add a Start Menu, and Disable Hot Corners in Windows 8 HTG Explains: Why You Shouldn’t Use a Task Killer On Android

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  • The Chemistry of Snowflakes [Video]

    - by Jason Fitzpatrick
    Snowflakes start out as tiny bits of dust high in the atmosphere and end up drifting down to us as intricate water crystals. Check out this video to see the process start to finish. Courtesy of the American Chemical Society and Bytesize Science, we’re treated to a well explained and illustrated journey from the beginning of the snowflake formation process until the end. [via Neatorama] How to Access Your Router If You Forget the Password Secure Yourself by Using Two-Step Verification on These 16 Web Services How to Fix a Stuck Pixel on an LCD Monitor

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  • Any interesting thesis topic?

    - by revers
    Hi, I study Computer Science at Technical University of Lodz (in Poland) with Computer Game and Simulation Technology specialization. I'm going to defend BSc thesis next year and I was wondering what topic I could choose but nothing really interesting is coming to my mind. Maybe You could help me and suggest some subjects related to programming graphics, games or simulations? (or maybe something else that is interesting enough :) ). I would be very grateful for any suggestion!

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  • career planning advice [closed]

    - by JDB
    Possible Duplicate: Are certifications worth it? I am at the point in my career where people start to veer off into either management-type roles or they focus on solidifying their technical skills to stay in the development game for the long-haul. Here's my story: I've got a degree in economics, an MA in Political Science and an MBA in Finance and Management. In addition, I've done coursework in advanced math and software development (although no degree in math or software). All-in-all, I've got 13 years of post-secondary education under my belt. I, however, currently work as a software developer using C# for desktop, Silverlight, Flex and javascript for web, and objective c for mobile. I've been in software development for the past 3.3 years, and it seems like it comes pretty easy to me. I work in a field called "geospatial information systems," which just involves customization and manipulation of geospatial data. Right now I am looking at one of several certifications. Given this background, which of these certifications has the highest ceiling? CFA PMP various development/technological certifications from Microsoft, etc. Other? My academic and work experience are all heavy on the analytical/development side, esp. so given the MBA and the B.S. in Econ. The political science degree was really a lot of stats. So it seems that I would be good pursuing more of the CFA/analytical role. This is a difficult path, however, because I have no work experience in the financial sector, and the developers in finance are all "quants," which again, I am OK with, but I haven't done much statistical modeling in the past 3.3 years. The PMP would require knowledge of best practices as it pertains explicitly to software development. I also don't enjoy a lot of business travel, a common theme for most PMP jobs I've seen. If certifications is the route, which would you recommend? Anything else? I've thought about going back to try to knock out a B.S. in C.S., but I wasn't sure how long that would take, or what would be involved. Thoughts or recommendations? Thanks in advance! I turn 32 this weekend, which is what has forced me to think about these issues.

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  • How do I transition from physics and math to programming?

    - by inovaovao
    I'm a physics PhD with little actual programming experience. I've always liked programming and played around with BASIC, Pascal as a teen, but the extent of my experience writing complex programs comes from an introductory course in computer science. Now I've decided that I'm more interested in programming than in physics and started to learn Java. Coming from a physics or math-heavy background, what would be the best strategy to maximize my value in the field?

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  • Best free online Computer Science college courses

    - by Spiker
    I have found the MIT Open Courseware to be a great resource for free computer science college courses. Every software engineer should be required to take the Structure and Interpretation of Computer Programs class. Berkeley and Carnegie Mellon also provide some great online courses. Are there any more colleges that offer quality computer science courses?

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