The class tries to cover a lot of fundamental topics, so unfortunately there isnt a lot of depth. I consistently scored 10-15 points higher than I should have, under a more strict grading policy. As frustrating as they could be at times they were clearly well designed to slowly drag knowledge out of you. The execution of the lectures was horrible. The course begins with an overview of the evolution of the Internet architecture and a short refresh of the transport layer algorithms and protocols such as TCP and congestion control. Projects: PC: Windows XP or higher with latest updates installed, Mac: OS X 10.6 or higher with latest updates installed, Linux: any recent distribution that has the supported browsers installed. If nothing happens, download GitHub Desktop and try again. You may learn a lot about the properties of different networks, not just computer networks, but also social networks, traffic networks, and so on. I learned less, as a result. The graded portion of the course consists of 35% quizzes (which aren't trivial in terms of difficulty) and 65% projects (have only done the 1st out of 5 so far, not bad but can't say it's because it's meant to be a introductory project). The breadth of material is fairly vast, but this comes at the expense of depth and application. The math is not difficult per-se, but the biggest challenge I faced was setting up the problem using the right set of assumptions and principles, which would allow for a solution. The one exception in my mind would be if you are planning to study this field for say a PhD. They are pretty comprehensive and not easy. Examples are picked from real wold as well as text books. but you can still cover the subject matter by studying ahead using the online network science book. You must have a computer (laptop or PC) that does NOT have an M1 chip. Summer 2021 semester started off pretty hectic. Lots of reading: texts and papers. It has left a nice feeling, glad I took it in the summer. For the motivated you could easily spend another 10+ hours a week reading papers and working on food for thought (ungraded) exercises in the lecture notes that are both very interesting and help solidify your understanding of the material. Teacher / TAs are involved and responsive. Averaging an A on them took some focus but is feasible. Dr. D is awesome. Are you ready to earn your master's in computer science but not ready to stop working? Given that this course is new I am only going to comment on how the class is structured and the material presented, not things being worked out due to a new course. Think of it as a game to find the catch or statement that is untrue. Second, the way course material is presented can do with a lot of improvement in my opinion. We have teamed up with Udacity and AT&T to offer the first online Master of Science in Computer Science from an accredited university that students can earn exclusively through the "massive online" format . Ill say this is very rich and interesting class. A tag already exists with the provided branch name. e.g. Students in the OMS CS program further customize their education by selecting one of our four specializations. I took the course because I really wanted to and I truly desired to love it, but I didnt. I do all the required readings and take detailed notes and it takes me about 2 hours a week. It is really hard to score more than 70% on average. The content itself, so far, leaves a bit to be desired. Some familiarity with both network programming, scripting languages (e.g., Python), and using virtual machines will be helpful. Assignments are practical and gives a lot of ideas of real-world scenarios, Opens a whole new field of computer science that isnt very common, Quizzess every week and assignments keeps you on track, There are a lot of content thats not explained in videos. Georgia Tech's online Master of Science in Computer Science (OMS CS) comprises a curriculum of courses taught by the world-class faculty in the Georgia Tech College of Computing, ranked the country's No. The evaluation in quizzes is not from the lectures 90% of the time. For the spring 2022 semester, 12,016 students enrolled in the. resize image without stretching css fire hall rentals south hills pittsburgh administrative hold on check truist UT Austin online CS Master vs . This is a course where you can get an A while focusing on the definitions of various metrics, building an intuitive understanding of how they behave and how they should be used, and solving the assignment questions. If nothing happens, download Xcode and try again. About Buy Me A Coffee Course by Specializations. Personally, I do the readings before the modules because they are more detailed. Video lectures are less than 5% of the actual syllabus so consider near to nothing. Computing Systems, Fall 2022 syllabus and schedule (PDF) I would have hoped for a project at the end that covers a lot of the concepts that have been mentioned in the syllabus with a real-world example. At the end of the semester I skipped most of the readings and knowledge checks (do not contribute to the grade), to concentrate on GA. Speaking of the quizzes, they are open everything with no time limit, but really really tricky. You learn Networkx not a fan of the all reading no video bit. This slide-heavy format is a deviation from OMS, but I found it rather refreshing to be able to read bits and pieces here and there instead of having to devote blocks of time to consuming videos. Quizzes are straight forward as they are open book and are most of the time directly from the course material. I found most of the wording to be very ambiguous, I had to guess what the question was actually asking about. I didnt get 100-s on all of the assignments, but getting an average of well above 90 I would not consider difficult with effort spent, and those are the other 65% of the grade. Reviewing the course halfway: Course offers a breadth of material covering the Network Science Book by Barabasi. I ended up starting my later 4 assignments just 2 days before the deadline so that I can just read from others questions on Piazza, and dont have to wait for responses. you do not truly understand advanced mathematics algebraic equations and can then translate those into python code without any boilerplate code. This folder contains all the Computer Science work I have done over the past 3 years. I dont see any scenario where this course will help me outside of pure curiosity. All in all I would say if youre planning on taking this course you should pay very close attention to the introductory quiz that the professor offers as a way to test your preparedness. So we dont know yet what grades we are getting and just trying to do our best. Quizzes were very frustrated. Youll read about examples from biology, medicine, computer science, and sociology. The TA-s are mostly involved, there were occasional misses (including some rare cases where answers on Piazza which could confuse into an incorrect quiz answer), and some questions on Piazza could be seen hanging for some time, but mostly the TA support was rather solid. Unless you are very comfortable with everything that it covers you are going to suffer. So I just know where I lost points, but do not know how to correct them. You can say a text book page worth of information. Use Git or checkout with SVN using the web URL. I usually do mine in one sitting and it takes about half an hour. The course materials are delivered in a mixed format (mainly text and some videos). When students asked about downloading the materials, the answer they got was I am afraid that currently we dont have a slide version of the course material. This was my 10th class. Do you understand the three way handshake of TCP? Hello! omscs50 [9] [10] CompSciWork\OMSCS - Computer Science\CS7641 - Machine Learning: Contains the ML algorithm analysis on real world datasets. Weekly quizzes, open everything, unproctored, non-trivial, questions are maybe 70% straight from the material. There are weekly quizzes, open everything. You really need to read the papers to do better than average on the quizzes. There was a problem preparing your codespace, please try again. Actually, for me, its easier to focus when reading well-summarized course materials than watching videos. You signed in with another tab or window. M1 chips are incompatible with our core course VM where most project development occurs. This was my 8th course in the program and it felt much more like a math class than a programming one. For grades I have a low A with the last project still to be graded. Some hyperlinks in presentations are dead or outdated. Some people will complain that they didnt get to implement specific things (e.g. Factoid hunt that can depend on the quality of the material presented. The office hours were scheduled, reliable, and informative. There are pretty much no lectures. In most cases, the instructor just introduces a concept in those slides and leaves bulk of the things for you to read up on our own. Cons: For students who would like to explore more, there is an additional project that engages with tools for Internet-wide measurements. Keith McGreggor, who teaches CS6795: Cognitive Science in the OMSCS program (and is expected to teach a new OMSCS class soon), has been named a Fulbright Specialist . Are you sure you want to create this branch? Having taken GA concurrently with the Network Security (not IIS) classAbout github Cs6035 2019 Present) Teaching Assistant for CS 4235/6035: Introduction to Information.. . centrality, whatever) and I suppose thats valid. The projects are easy (almost too easy, mostly acquiring and applying the correct networkx functions), but the quizzes are challenging (in depth questions require solid understanding of formulas and doing related reading). Grade is broken down as 35% quizzes and 65% projects. This was my 6th course. The TAs did a bang up job, too. My average for quizzes was about 75%, which was above the mean. I thoroughly enjoyed the subject, and am very interested in learning more. It was manageable, but not a very good learning experience. There is a good deal of reading material for each weekly chapter; however, I did not note that any of the quizzes were from the readings. Otherwise, be prepared to work hard. Instructor's email: constantine@gatech.edu. Workload wise the first few weeks are higher to find your groove. Projects are interesting and cover the use of NetworkX library in Python. MachineLearning-Coursera-Certificate: Certificate of accomplishment from the Coursera Machine Learning (ML) course conducted by Dr. Andrew Ng. Jupyter notebooks are not everyones cup of tea, so I just did and debugged the assignment parts in Pycharm and then moved to the notebook. Calculus, statistics, probability, linear algebra, and python are hard prerequisites for the course (you should take the prereq quiz seriously). Neither did I go deep into any of the papers (saved them for later). I ended up withdrawing from it after 15 days (after giving three quizzes, partially working on pr1 and pr2). I was really excited about this course coming in but found it pretty lacking. Throughout the course, students will work on hands-on projects to learn about routing, SDN, BGP hijacking, and Internet measurements. I dont think I learned a lot from the course material. And you dont even have to finish the quizzes in one sitting, they can be closed and reopened as many times as you wish until you submit. Projects are python-based Jupyter notebooks, mostly using networkx, scipy, and plots. The lectures and main text book very obvious written by someone who hasnt had a rigorous math or engineering background, lack of consistency or concise statements is frustrating. I thought Ill be able to catch up on old things quickly, but I was wrong. Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000, Application Deadlines, Process and Requirements. Are you sure you want to create this branch? One thing to add, I took network science last semester and disliked the 'notes' format because I felt everything was summarized too much . You will ultimately learn some very interesting fundamentals, though. It will definitely influence how you see things from office interactions, traffic, diseases, to characters in books and movies etc. Phew! Get your pencil and paper out to go step by step if needs be, or verify by coding up in networkx. average class score on quiz is around 70-75%. I completed 3 assignments, so I do have a fair idea about the class. Computer Science and Engineering. * CS 7638: Artificial . Sets the bar for the rest of OMSCS. Overall if you are interested in network science this course is still worth taking, if you are just looking for a fun elective maybe steer clear as this course has its organizational hassles. For the quiz, I do not know why I studied the course materials well but still received some low scores. Maybe there will be more lectures in the future? But overall, fascinating material and definitely worth taking. The projects are pretty straightforward, but grading is a bit slow and assessments seem somewhat subjective. Projects are open for 2 weeks and then a week off before the next project (except it looks like the last 2 projects will be back to back). If you dont have a good background with these you will struggle or worse miss out on a lot of the richness of the material. I feel I need to spend some time thinking on how to apply the concepts to problems that we face. We also support Internet Explorer 9 and the desktop versions of Internet Explorer 10 and above (not the metro versions). Granted, the quizzes were hard, with occasional questions worded in a tricky way - but I cant say it was the general flow. It covers a huge variety of terrain in the field, which is new. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Each weeks Material is divided into 12-15 lectures.
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