* CS 7280: Network Science. Jan 15, 2021 5 Comments. This course counts towards the following specialization(s): Occasionally there will be a one or two minute video example in one of the (15 - 20) slides, but some modules had none. A tag already exists with the provided branch name. With an assignment every 3 weeks, this comes out to around 10 hours per week. If so, Georgia Tech has the answer. The concept of the course is fun. 15 Hours / Week: I really like Network Science!. The other book that features heavily is Networks, Crowds, and Markets by David Easley and Jon Kleinberg, and this is a much better read. The projects are all with Jupyter notebooks and require decent Python Knowledge with topics like list and dict comprehension, Matplolib, and basic Numpy featuring heavily. Society-Diffusion-for-Network-Science. About Buy Me A Coffee Course by Specializations. The course is consisted of weekly quiz (14 of them) and 5 projects. There are no video lectures (which is not a deal breaker for me) but the written slides/pages are VERY concise (emphasis on the word VERY). In one instance, I wrote a recursive function to find network motifs but made a very stupid error which resulted in massive double counting. Some hyperlinks in presentations are dead or outdated. There are pretty much no lectures. TA and professor are active on piazza. I think this provides a nice change of pace from the usual CS courses where you only deal with computing topics. Data sets are uninteresting, and you have very little idea if your final results are correct. There were some occasional ambiguities in the homework as well, but I dont think there was any point of unfair grading WRT anything. Weekly quizzes, open everything, unproctored, non-trivial, questions are maybe 70% straight from the material. For grades I have a low A with the last project still to be graded. They make up a third of your final grade and are the most nit-picky, tedious things I have done in this entire program. 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 . Projects were ok, but not very interesting. 20+ Hours / Week: Teach me everything there is to know about this amazing new field!. It just felt like I didnt actually get to focus on learning the network science part. Work fast with our official CLI. e.g. I got an A without the curve and a much better A with it. I personally wanted to just focus on what the concepts were and learn how/when to apply them, so I didnt mind. Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000, Application Deadlines, Process and Requirements. 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 started early in the first assignment, but end up changing a lot of things before the deadline because there were so many clarifications needed in order to complete it. Prof Dovrolis will probably one of the kindest people youll ever interact with during the course of this program. The lessons are pretty thorough, and mirror the material in the textbooks, both of which are free. The whole given our networks theory and data, how can we leverage that to make better design decisions was missing. When it came time to do the weekly quiz it always seemed like 2/3s or more of the content wasnt actually from the lectures, instead relying on you doing further research on your own. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 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. Projects are python-based Jupyter notebooks, mostly using networkx, scipy, and plots. The math becomes harder as you get further into the subject. All rights reserved. * CS 7638: Artificial . Examples are picked from real wold as well as text books. ***edit*** After reading some comments regarding CV (which I was registered for, and dropped for NS), I wanted to add: the professor, and the TA's, have been present, approachable, and helpful. If you can confidently answer yes to these questions, you should be fine: All Georgia Tech students are expected to uphold the Georgia Tech Academic Honor Code. In addition to all that is in the above category, you do the supplemental readings and also ponder the food for thought questions inside the lectures. We will then study network monitoring, including network intrusion detection and alert correlation. Network Science by Albert-Lszl Barabsi. The graphs and figures are straight out of the book. TAs and professor are open and respond to students, revising and amending material when necessary. We have to always rely on student discussions on the Piazza. He really invests himself in helping students succeed. You may also be able to get by if you dont have the urge to dig deeper and really understand the material. TAs have some unknown (to us) rubrics based on which they grade. Also steer clear if you either dont have a strong prob/stats background or dont want to put extra effort to learning as you go. FWIW, out of 14 quizzes, I got a full score only once, with average quiz grade before the final adjustment being just above 80%, and I did find it annoying more than once to receive a zero score on question where I marked 3 out of 4 T/F options correctly, and there have been occasional ambiguities (as well as regrades following discussions). There are also knowledge checks which are just ungraded practice quizzes, but they are not necessarily predictive of what will be on graded quizzes, so I dont always do them. After discussing routing and router technologies, the course will continue with Software Defined Networking technologies and discuss topics that intersect Network Security and Computer Networks, for example, attacks on Internet routing such as BGP hijacking. As frustrating as they could be at times they were clearly well designed to slowly drag knowledge out of you. 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. Quizes: centrality, whatever) and I suppose thats valid. Note that assignments are due roughly once every 3 weeks. I think the course is still going through some growing pains in its second semester, but the material is very interesting and there are enough challenges to keep you busy. The assignments were quite tunnel vision: compute this metric, generate a graph using this method, find communities using this method, etc. (Compared to over $70,000 for degrees at . Available from : 2020-05-06. If you have a good command of graph theory, statistics, linear algebra and probability, you will likely enjoy this course and get a lot out of it. Search for a Course: NS . 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. You will fail miserably in the open book quizzes. My clocked time was 12 hours per week. Grading was a bit slow and there was no formal regrading process. The staff is comprised of the professor along with an army of TAs, who hold regular office hours and are active on the forums. The projects are always poorly worded and students need to ask many questions for clarifications. Consists of only quizzes and projects. Good hands-on python is required. I felt there were two reasons I did not do so well in the course. There are weekly quizzes which can take anywhere from 15-60 minutes, and a project due every three weeks. Projects are interesting and cover the use of NetworkX library in Python. This would make the course more challenging and bring the workload numbers up a bit, more in line with the heavy hitters in the program. Can you explain the main distinction between TCP and UDP? Work fast with our official CLI. The main text book, is called Network Science by Albert-Lszl Barabsi and is available online. Hello! *CS 6795: Introduction to Cognitive Science. Most of the course is summary for The network science book http://networksciencebook.com/. 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). The class has two parts, the quizzes and the projects. Get your pencil and paper out to go step by step if needs be, or verify by coding up in networkx. My overall estimate of 8 hours accounts for about 4-5 hours of regular weekly work, and about 8-10ish hours per project averaged over project and non-project weeks. You make an effort to really understand the assignments and provide a polished output. Notes from Summer 2022 OMSCS CS7280 Network Science - GitHub - fding253/OMSCS_CS7280_NetworkScience: Notes from Summer 2022 OMSCS CS7280 Network Science Not sure how the final grade was calculated but it was definitely curved. 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. A tag already exists with the provided branch name. But I have to say that it doesnt mean that the content is not structured well. Numpy knowledge is beneficial. ML is integral in modern network science and including a project that utilizes it would be an exciting addition to the course. This course provides a theoretical base for several things we see in the world around us. Piazza isnt super active but its a smaller class. Mario Wijaya deserves a shout-out for tirelessly answering piazza questions. This course is a poor netsec course that feels like an afterthought to the professor/course designer. 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. But overall, fascinating material and definitely worth taking. Unless you are very comfortable with everything that it covers you are going to suffer. However, the textbook content is generally summarised in the lectures which are about 90% slides - 10% videos. I learned less, as a result. Ill say this is very rich and interesting class. While this is useful for a summary, it would be helpful if presentations were extended. I end up printing the pages but still a very annoying process cuz there were so many pages. Maybe there will be more lectures in the future? Then you go through the slides yourself. Source Why I'm pursuing an advanced degree in computer science Author's Note: this is my personal statement for application to Georgia Tech's Online Master's in Computer Science (OMSCS). If nothing happens, download Xcode and try again. 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. I completed 3 assignments, so I do have a fair idea about the class. There are no exams. Modify the numbers as appropriate for your individual case. Finally, the course wraps up with a discussion on multimedia applications and Content Delivery Networks. Cons: For the quiz, I do not know why I studied the course materials well but still received some low scores. My background: ISYE undergrad with many prob/stats and ops research courses, likely a strong background for this class. The grading was generous and the TAs usually give you the benefit of the doubt. Do you want a top-ranked degree without the top-ranked price tag? At the end of each I was usually exhausted, but definitely smarter. you will not really read (not just skim) and synthesize the content in Network Science (Barabasi) book. Lots of different modeling techniques, take the dataset and run with it, write a report. Choices are sometimes not clear. To continue the program, the OMSCS program requires newly admitted students to complete two foundational courses in the first 12 months following matriculation . They definitely make you think deeply about each question which is what you should be doing if youre in grad school. 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. TAs are helpful and active and professor Dovrolis is super nice and very enthusiastic about motivating students to learn and improving this course. 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. Browser and connection speed: An up-to-date version of Chrome or Firefox is strongly recommended. First week I didnt see any videos and most of the material was just reading, so I thought maybe the Professor would walk through the material via BlueJeans but he didnt and after two weeks he cancelled his session !!! 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. This is our group presentation for the paper of the "Collective patterns of diffusion are shaped by Individual inertia and trend-seeking" in the class of Intorduction to Network Science, which is the first undergraduate course about Complex_Net in SHU. Students in the OMS CS program further customize their education by selecting one of our four specializations. I usually do mine in one sitting and it takes about half an hour. I ended up not watching them because the professor just read off the page, and the content wasn't useful . Video lectures are less than 5% of the actual syllabus so consider near to nothing. This takes around 8-10 hours to finish. If you are the type who likes to understand things thoroughly, this will mean that you need to spend more and more time as you progress in the course. I found the pace of the course to be pretty intense during summer because Im a try-hard. Summer 2022 syllabus and schedule (PDF) They didnt drop any material (though he did curve) and I treated it like there wouldnt be a curve. The one exception in my mind would be if you are planning to study this field for say a PhD. No test case / feedback on projects, leads to uncertainty, although Piazza is used extensively to clarify questions. It seems the more time I put on the materials the lower grade I got. . Seeing that 7280 Network Science is still quite a new course I've been skeptical of keeping that for this fall. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Logistics wise, a lot of complaints can be seen on the quizzes, but I think those should be taken with a balanced view. Notes from OMSCS course CS7280 Network Science in Summer 2022. Buy me a coffee 2022 OMSCentral.2022 OMSCentral. The professor and TAs are all very considerate and helpful. The lectures are shallow, fast paced, incomplete, and often a waste of time. This course is a survey course that does a good job of introducing students to the concepts of network science, without exposing them to the meat of the algorithms involved.
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