I can tell each professor has painstakingly thought out the contents, compacted it to contain only the most relevant and important details, likely did multiple takes to get the video just right, and refined the lectures over the years to keep them current. The final product is a beautifully and professionally crafted set of lectures that blow the best lectures from my undergrad years at Northwestern out of the water. The extremely relevant and cooperative video content within the lectures really helps visual learners like myself.
Another game-changer that makes note-taking in physical classrooms seem primitive. This really helps students to break down key topics and see how different concepts work together. It makes classes more exciting and pushes me to get the most out of them. You know how questions on Stack Overflow are always eloquently answered by angel-geniuses who seemingly have all the free time in the world?
CP also gave me a greater appreciation for Instagram filters and HDRs and similarly, there are many more novel applications of CS around me that I can now see and appreciate. Your email address will not be published.
Joe Pak. My classmates are angels You know how questions on Stack Overflow are always eloquently answered by angel-geniuses who seemingly have all the free time in the world? My review: 5-stars. It kicks ass. The art of getting jobs via LinkedIn.
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I don't profess to be an expert, and I'm not entirely certain what people want to hear, but here's my best take. Georgia Tech does a good job reinforcing its reputation while offering these distance courses. Time tickets: Registration occurs in two phases: I and II. Time tickets come out a day before registration starts and give you your time interval for doing registration.
The schedule for everything is at the GT Registrar's website.
My review of Georgia Tech’s OMSCS: year 1
Holds: From Ric Y: If you have holds on your account you cannot register! Be sure to check and get these cleared so you can get the classes you want. Registration: Old students get phase I registration, new students only get phase II.
You have a significantly better chance of getting into classes during phase I than phase II. If you are not standing by to register for a highly sought after class within the first 15 minutes of the registration period, you will probably get on a waiting list. Ensure you convert the period of your time ticket to your local time zone.
I ahemmay have forgotten that at least once I also tend to lose my car in the parking garage at work at least a few times a week. Picking Classes: Know which specialization you want to pursue, as it will fit into your class schedule. Get your foundational courses done quickly, as it causes you to transfer to being a fully admitted student. If you delay, you might have some real life thing come up, causing you to need to drop a course and not meet your foundational requirements on time and get potentially booted from the program.
Game over. Your specialization will not take but about half of your 30 credits to graduate, so you have time to take other classes you are interested in. So, for Pete's sake take classes that interest you! If you're debating between multiple courses, have a gander at the unofficial course reviews. Classes typically have a list of recommended skills and background listed on the appropriate OMSCS page. Read this and get an overview on the main stuff.
Do not avoid classes or specializations because you don't know a particular programming language. If you stop learning new languages and tools, you will make yourself obsolete. Play around on HackerRank or set up a test environment and learn about the language your class uses before class starts.
OMSCS is an engineering program, and engineering is applied program solving. In computer science, the most direct way of doing this is by writing computer programs. Since this is a Master's level program, expect to put in a Master's level of work. I know a guy in a different program at a different school who describe his program as, "I did almost nothing and got a 4. This is not that program. I plan my class schedule around major life events. When I was getting out of the Navy, I still took a course, but I picked one which had been reviewed to be easier on the commitment side of the spectrum.If all goes well, I will graduate from the program at the end of this semester.
Given this, I felt this would be a good time to share some of my thoughts and experiences with the program while it's all still fresh in my mind. My undergraduate degree is in geophysics rather than computer science. However, I have worked in software for my entire career including college internships. Working as a developer making geophysical software, I quickly realized that getting a more solid grounding in basic computer science concepts, as well as some more advanced topics, would be beneficial to my career.
Initially, I considered the self-taught route. This works well for me for learning specific technologies, languages, and frameworks, but less well for theory heavy topics. For these concepts, I benefit from the structure of a formal class, as well as the strong incentives to stay on task due to the rigorous assessments. While I had some worries as to perceived market value of the online credential, I quickly realized that this was irrelevant for my actual educational needs.
Given the low price of the program, I didn't need to justify a pure economic return, but rather the potential educational outcome given my time input. This was an easy decision for me. I applied for the second cohort, was accepted, and began that fall semester.
The "learning environment" consists of:. My first impressions of the lectures delivered via Udacity were very positive. As someone with a hearing impairment, I appreciated the ability to pause, rewind, and rewatch the lectures as often as needed.
The inline quizzes helped keep me engaged with the lecture, as well. The discussion system, Piazza, works fairly well, but is far from perfect. While it's easy to post a question, the sheer number of people in the classes can make it a noisy place. There are filter and following tools, but it's still easy to miss something unless you're checking it very often.
Office hours, an important part of the higher education learning experience, are obviously quite different when conducted online. While this allowed for easy navigation of the office hours afterwards, this makes it difficult to ask follow up questions while keeping the thread of conversation consistent. However, the effort to make some sort of office hours available was greatly appreciated, even if there are scaling issues. The assessments for machine learning consisted mostly of two exams and several projects.
They are often simple multiple choice quizzes that are easily passed via trial and error.This post is a first effort at gathering the info necessary to assemble a self-study plan, so that I do everything I can to maximize my likelihood of successfully completing a top 10 CS masters degree. The degree requires completion of 30 units, and each course is 3 units.
The specialization that I would prefer given my long-term career interests is the Machine Learning specialization. To continue the program, the OMSCS program requires newly admitted students to complete two foundational courses in the first 12 months following matriculation. This is obviously a critical hurdle to pass. The machine learning specialization consists of the following courses. Passing five of these six is required, and with the revamp of DVA I may complete all six. And, since the coursework in my undergrad CS minor stopped just short of operating systems, IOS would be helpful to fill out my CS knowledge.
To make up for a lack of software engineering coursework during my non-CS undergraduate degree, I may want to pursue graduate level software engineering courses. A final consideration is that it may be prudent to select courses that allow me to pursue my interests while still minimizing the total programming languages used in the degree.
Also included are the average work and average difficulty as reported by other students, and sourced from OMSCentral. Also listed is the programming language utilized. His planned course of study is similar to mine, with the exception of apparently pursuing a double-specialization in both ML and computing systems.
I have colored in the nodes representing the courses applicable to me in red. Please note that this is list is completely based on fantasy and may not be practical by any measure due to factors such as non-availability, potential for failing miserably to meet the foundational requirements, sanity prevailing etc.
Read at your own risk and excuse my poor English.
First, it will put you in the right mindset and prep you for the upcoming rigor of the program. Secondly, the concepts learned in this course are useful for the rest of the course.
AI4R AI4R probably has the best introduction to Probability and Linear Algebra which, along with algorithms, form the basis of everything you learn in the following courses.
AI Offers everything to catch up on the classic AI from the 60s onward to 90s and 00s. ML4T Unholy! This is probably one of the most important classes in the program in terms of gratification-effort ratio. DVA Offers valuable practical data science perspective such as cleaning raw data, visualizations and report making as well as more Machine learning practice. After this class you will be chewing through Kaggle datasets one after the other.
ML Finally the big one. Heavy emphasis on synthesis of Machine learning, Reinforcement Learning algorithms and Learning theory. RL OK, why are we even doing this class at this point? Even though there is a heavy overlap with ML, this course offers a wondrous journey though academic papers and advanced concepts and can be a rewarding experience.
Best of luck to you all! My research resulted in a several page word document full of notes. I decided to host that information as a public service. If you're not, it definitely isn't, but congratulations on finding it! This page is consistently my most viewed page and the site's most common entry point.The classes for each semester are in the Semester Schedules. Feel free to add more information yourself.
In particular, please consider adding syllabus, schedule, textbook, readings, and ways to prepare for the course.
Please remember to abide by Student Code of Conduct. Here is a link to a useful specialization spreadsheet and the original GA Tech specializations page. List Of Courses. The classes for each semester are in the Semester Schedules Feel free to add more information yourself. Click here to edit contents of this page. Click here to toggle editing of individual sections of the page if possible.
Watch headings for an "edit" link when available. Append content without editing the whole page source.Georgia Tech's OMSCS (s3e3) CS7646 Machine Learning for Trading, Final Review
If you want to discuss contents of this page - this is the easiest way to do it. Change the name also URL address, possibly the category of the page. Notify administrators if there is objectionable content in this page. Something does not work as expected? Find out what you can do.
OMSCS: a working professional's guide to the 7K CS masters degree
General Wikidot.I also have a family and work full time in the software industry. How is this possible? But OMSCS shares as much in common with a standard university distance learning program as with a MOOC: you adhere to a regular college semester schedule, get real grades from real professors and TAs, and at the end you walk away with a sweet Georgia Tech diploma that looks just like the ones they give out on campus.
Thirty credits ten classesno thesis. Five classes come out of your specialization ; the rest are free electives. Whether you will graduate is another question!
And the workload for all classes is not equal. CS is among the most difficult courses in the program and, not coincidentally, among the best. I spent between ten and twenty hours a week on it for sixteen straight weeks. I should also say that the difficulty of the degree correlates inversely with your programming skills. If your Java, Python, or C is rusty, you will spend some long nights getting up to speed before you can tackle assignments in many classes.
OMSCS is cheap. Really cheap.
Why I joined and left OMSCS at Georgia Tech
Again, keep in mind, Georgia Tech has one of the top five graduate computer science programs in the world. The low costs are a feature, not a bug.
If anything, the Udacity partnership has led to some slickly produced lecture videos, which seems like a plus. This is only somewhat true. The size of any course offering cannot exceed the ratio of TAs that are available to support it. But for the time being, students still struggle to get into popular courses that max out their TA limit soon after class registration begins.
Any time you put four thousand computer nerds under stress, they will form their own information pathways, like neurons in a giant brain. I have never felt isolated in the program or had trouble getting a class-related question answered.
You might consider trying to find other OMSCS students in your geographical area if you prefer studying next to people you can see. Number one is a bad reason for getting any certification or degree. I made a flowchart awhile back that parses this decision in more detail.
I hope this was a helpful post! Let me know in the comments if you have any other OMSCS-related questions that a student could answer. If you enjoy my articles, comics, and stories, why not sign up for the mailing list?As I wrote it on my personal blog, which has few regular readers, I did not anticipate that one day this post would show up on the first page of Google searches for OMSCS. While I left due to OMSCS not being the right fit for me, I would in general recommend the program to someone looking to further their career and computer science education.
I hope to provide some helpful information for anyone considering the program and wondering whether it fits their goals. Before I get into discussing that decision and the program in general, I want to share a little more about my background in this area.
I found employment at a few software jobs before and after graduation. For the last several years, I worked as a freelance web developer. My interest and background in sports pushed me in the direction of research and analysis. Some exposure to the world of data science made me realize I had real interest in studying it. After teaching myself some of the basics using books and online resources, I felt like a more formal education in the subject could be quite valuable — both as a tool for structured, accelerated learning and for the sake of having the credential.
Learn from the real professors and university resources at one of the top computer science schools in the country. One thing I want to reflect on real quick — when I enrolled in undergrad at Villanova, I was an year-old who was doing what he thought he was supposed to do — go to college, get the piece of paper.
I reversed my priorities this time around. Learning mattered more to me than the credential. Before I talk about my experience as a student, I want to say a couple things about my feelings toward the program in general after having left it:.
I also want to make it clear that I can only share my personal experience here. I only enrolled for two semesters. Other courses might be different. Your mileage with the program may vary. Lectures often include ungraded quiz questions throughout to encourage you to pay attention and understand the material as you watch the lecture.
You can actually watch these lectures without enrolling. Go ahead and sample them yourself to get an idea of what to expect.