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Found 245 results

  1. Hello was wondering if anyone here has applied to KU Leuven for Computer Science Masters? Has anyone got a response?
  2. So here's the dilemma: I'm a pure math guy who's mostly interested in theoretical computer science, but also partly interested in theoretical machine learning. I've been accepted with similar funding yada yada to both UCLA and UC Irvine's CS PhD programs. The professor at UC Irvine more so matches my interests (graph theory, approximation algorithms, pure math-y stuff) and he's also highly distinguished, coming off a 15 year stint doing theory at Georgia Tech. The professor at UCLA is more engineering focused. There's a few questions I need answers to influencing my decision: How important is the prestige of a university compared to the prestige of one's research advisor when it comes to securing faculty positions? How easy is it at UCLA (or in general) to either co-advise with another department (theory) or switch entirely, and would this affect funding offers? Any advice would be greatly appreciated!
  3. Hi! I recently took the GRE and felt satisfied with my scores at first. I scored 165V/170Q which pleased me greatly. However, the writing score came back as a 4.0. I am a native English speaker, and I write well when I have time to revise my work. Should I retake the GRE to try and improve that score? Or do CS admissions committees not care? I will likely apply to a PhD program in Fall 2018 or 2019, so I have time to study if a retake would improve my admissions prospects.
  4. Waiting on UBC CS Decisions. Gonna pass out with anxiety now. Have been waiting sleeplessly for last 3 weeks. GradCafe shows many admits already. Last year there were all rejects from March. Last admit was mid Feb. If you are one of them, please share your profile so that I can come back to the ground! Foolish hope is eating me out. UBC applicants, let's talk how you are feeling now? Have you received an admit or an interview or a reject atleast? What other plans have you got. Applied to UofT? Let's discuss
  5. I am a graduating student from a good Canadian university expecting a BA in economics, and I am looking into applying for a Master in CS degree in U.S.. My profile is a bit irrelevant since I was not preparing to go in this direction. have minor mathematical&CS background --- elementary econometrics, statistics, economic modelling. No linear algebra, no calculus. Only an introductory course in Java, plus a bit of SQL and Python. Economics could be very quantitative, but that is not the route that I took. I extended a three-year program into a four-year program for some personal reasons. My grade is about 3.85+, no previous job experience, only experience on an economic history project with limited use of quantitative methods. I plan to do GRE and make up for my lack of Math qualification after graduation. I wonder which schools and programs should I aim for after given my background? I know that there are a few programs such the arts-friendly Msc program at UChicago, but not many. I also looked into degrees such as Msc in Economics and Computation, but I am not sure how useful they are. I would also like to take some suggestions on what else I could do in preparation for a master degree in CS and for the change of my career path. ( for example, whether there are credited non-degree programs in CS that I could take.) Thanks!
  6. Hey people. I just wanted to check if there were any decisions on MSc (non-PhD track) Computer Science program at UBC? I see a couple of admits from UBC CS but I guess they are from either the PhD/PhD-track Masters programs. Do you know when is the expected timeline for admits for the program? And, if you have got an admit, could you please let us know your profile? Thanks!
  7. Hi all! I have my GRE in a month and I am having a freakout in terms of my preparation. On the test day they give you an option to send your scores to 4 universities for free. I have been trying to figure out 4 safe universities for my profile, but all options I considered earlier have very low acceptance rate. Can you please help me find out some safe universities for my profile, or point me in the correct direction? Thanks so much in advance. Here's my profile: GRE practice tests - 322 manhattan, 320 (3.5 awa) princeton review I national conference paper 1 year experience (will be 2 at time of joining - fall 2019) at fortune 500 company internships in all 3 years - 1st yr at startup, 2nd yr at ngo, 3rd year at above company ~80-82% undergrad Did some relevant nanodegree courses with scholarship, and another relevant professional course from a top 5 college in India. Anything else I forgot to mention? I'll add in comments... Looking for masters program in computer science.
  8. Hello! I'm not sure if this is the correct place to post this, but I've been feeling extremely anxious about my application due to my less than stellar undergrad GPA. I went to a decent public university for my undergrad and graduated with a GPA of 3.05 in... , I had a very personal, traumatic experience occur to me in college which affected my ability to perform to the best of my capacity. I also was majoring in Economics, but was not interested in the topic at all. I took a few courses in the computer/information sciences, which I ended up enjoying a lot more. Eventually I became involved with research at the Information Science School at my university during undergrad, got an internship working as a user experience research intern for a student learning mobile app, and had my independent project during my senior year published in a relatively well known journal for Human-Computer Interaction as an extended abstract. All these factors, a relatively strong GRE, and a sensitively handled personal statement that disclosed the personal issue that I was confronted with, allowed me a chance to pursue a Master's in Human-Computer Interaction at a pretty great school in the field. With a fresh start, I ultimately graduated from my master's program with a 3.89 GPA. I worked as a research assistant for the full two years, was a co-author in a publication produced by the lab I was assisting with, as well as a successful master's thesis which was also published in a respectable journal. I also interned as user experience researcher at a major social media company in the summer during my master's. Since graduating, I accepted a full-time offer as a UX researcher at a reputable video games company (think EA Games) and plan on working full time for two years. This means I'll be applying for my PhD next application cycle (Fall 2018). I retook my GRE and got a 163 V 163 Q and 4.5 AWA. Given this list, will my low UG GPA keep me from getting into a PhD program at a top tier school? (Indiana-Purdue University, Indiana University, UT Austin, University of Maryland, University of Michigan, University of California-Irvine, University of Washington, Northwestern University, Cornell University)
  9. I have two interviews with my POIs next week, and I have no idea what to expect. Can anyone share their experiences? How long are interviews typically? What do they focus on - my relevant experience, the professor's respective research, etc.? I would appreciate any input at all, preferably Waterloo-specific but any advice pertaining to Master's interviews would be fantastic. Thanks in advance!
  10. I've been accepted into a decently ranked school in the 10-20 range, and actually really like the group. I have also applied to CMU (ranked 1) and Cornell (ranked 6), but have not heard anything from them and honestly doubt I ever will. I am very tempted to immediately accept the offer I have instead of waiting. Is this a good idea?
  11. Hi All, Each year we organize a Summer School for senior undergraduate students. This year, the four-day fully-catered event will be from July 3rd until July 6th, inclusive. The Summer School will consist of wide-ranging talks on the theory and applications of data analytics & visualization given by program faculty and industry experts. This is a great opportunity for undergraduate students to learn about cutting-edge research in the big data science and network with subject matter experts and fellow students from other countries. We are inviting applications from exceptional students worldwide. The event is free to attend, and moreover, the successful applicant’s travel and accommodation expanses will be covered by the program. For more information or to apply, please visit http://www.lassondecreatedav.ca/ About the CREATE DAV Program The program is a multi-institution, multi-sector collaboration between York University (the lead institution), OCAD University, Concordia University and the University of Toronto, together with a number of leading Canadian high-tech companies in Toronto and Montreal focused on applications in cloud computing, digital cultures, health technology and smart cities. The goal of the DAV program is to provide opportunities for exceptional graduate students (MSc and PhD), undergraduate students and post-doctoral fellows. Students accepted into the program will receive highly competitive financial stipends and enhanced training from a collaborative group of internationally known subject matter experts in the field of data analytics and visualization in a broad range of application areas. Poster Create Dav Summer school 2018.pdf
  12. I love doing research, no doubt about that. I have 4 publications in international journals by the time I finished my Bachelors of which two were first-author. However, I realize the cost of a PhD - in terms of the time - that I cannot afford. Instead I have chosen Masters for probably having my last official research experience (though I am sure I would continue that independently later). So, I want to do research in Masters, but settle in the industry later as opposed to going for a PhD. With these possibly conflicting issues, I had applied to MSc at UBC and MSc AC at UofT. What do you suggest? If the UofT brand largely shadows UBC later for jobs, I would rather go there. Also, if the MSc AC included research component that is more of fundamental than applied, I would be okay. Since I would be going for a job for sure later anyhow (but applying to have my last dedicated research experience - to which I am fully committed), let me know what you would do if you were me? Thanks.
  13. Hi, everyone! I am an international student applying for 18fall Ph.D. in computer science programs in US. Now I've applied for 15 universities but only two of them are in California (i.e. UCR and UCSD). Here is my list of choices: Lotteries: CMU and U of Washington Top tier: GATech, UCSD, Wisconsin-Madison, UTexas Austin Realistic choices: NEU, Stony Brook, PSU, UCR, UVa, UMN Safe schools: George Mason, W&M College, UTexas Dallas So I made up these choices based on my backgrounds as well as the fact that the competition on PHD positions is fierce especially for this year. I did not choose too many UC schools because I've known that the universities in California have been extremely selective even since last year. As for my background, my current undergraduate GPA is 3.78/4 ranking 18 out of 303. My TOEFL and GRE are 106 and V157+Q170+AW4.0 respectively. I joined a lab of my school doing researches on distributed systems and had several research experiences. However technically I don't have any published or accepted paper, but three conference papers in submission. For details you might as well visit my personal page (https://excelle08.me). So here's a problem, a friend of mine attending MS program in computer science at UCR tells me that I'd better study in California so as to boast more convenience on internship and job applications. However personally I've avoided California to some extent and set my preference on solely research strengths of the universities and professors (by looking up csrankings.org as well as publications of the faculties), without caring much on location. So could anyone tell me if the location matters when it comes to job opportunities? Or it's just personal skills matters and companies usually won't hesitate paying one for trip to onsite? What about five years later when the CS industry might cool down? Any advice please?
  14. I am applying for Master with thesis (UofT, U of Alberta, SFU). Should I write an email to professors of those that I am interested in working with them as research student? I have research experience with 2 companies., 1 published paper as a 2nd author and an internship in the well-known corporation in US.
  15. Has anyone heard from ETH Zurich yet regarding admits
  16. Applying for Masters in Computer Science Fall 2018 Profile: Education: IIT Bombay Computer Science B.Tech 2014 CPI: 7.1 TOEFL: 110 GRE: 316 (I am trying again for a better score) ( 149 VR + 163 Q + 4 AW) Research: A Btech project in compilers LOR: 1 from BTP guide (strong) 1 from college prof (decent) 1 from CTO (strong) Work ex: 1 year in Samsung Electronics, Noida as a software developer 1 year in Amazon Bangalore as a software developer Currently working for 1+ years as a senior developer in Rivigo, a startup in Gurgaon I will be applying for a generic masters program and hope to find a univ with strong research culture. Please suggest me some universities
  17. Hello, I am a sophomore/junior at Pennsylvania State University in Computer Engineering. I plan to graduate in three years and I am conducting undergrad research. My cumulative GPA is 3.74/4.00. I want to attend grad school at a top 10-25 program in Machine Learning if possible. I wanted some advice on things I could do that could make me stand out and if shooting for top 10-25 programs is practical. Thanks
  18. I am applying for MS CS for the fall 2018 session. I am confused about which university I should choose from these four options - Columbia, Gatech, USC and Pennsylvania. My primary interest is in the are of machine learning and AI. Here are my stats - University - JIIT Noida Sector 62 CGPA - 6.8/10 (My mother was admitted due to some illness for 3 years during my college, so there is a steady decline in grades, and the trend is apparent in my transcripts. Amounts to approx 74%) GRE - 323(Q:165, V:158, AWA: 4.0) TOEFL - 107 Resume - RESUME_Final.pdf Can somebody guide me and give me some realistic chances of acceptance. I am leaning towards Columbia and Gatech, but I don't have any knowledge of their acceptance rates. Regards, Piyush Kathuria
  19. , 2017 (edited) Hi Guys! I don't know if this is the right place to put this thread in, but I couldn't find any similar thread anywhere. So here it goes! All the Masters in Computer Science people who applied in Canadian universities converge here! Share your heart out, how you're dealing with the stress of waiting it out I know it's still early days for admits and rejects but here goes my applied list: UBC, Toronto, Alberta, Western, McMaster, Ottawa, Carletom, Windsor, Lakehead Course: Computer Science Masters in Science/ MscAC/MAC
  20. Can somebody give me some feedback about the quality of the SOP. I would like to apply to NYU by the end of this week. SOP - Link Personal Statement - Link
  21. Hello all, I have applied to UBC, UofT, UAlberta, UOttawa, Queen's, Mcmaster for MS in CS programs. I am hoping to get admits from UBC and/or UofT. Here is my profile. I have no publications. Strong academics (8.65) from a good college from Gujarat,India. IELTS 8.0 bands. No GRE. 3 internship stints and 2 technical training stints. (2 of the internships were on Java and Cloud/ML) Strong leadership skills and extra-curricular activities as well. I have formed a strong SOP mentioning my clear vision and broad interests in the field of AI, ML , DL and CLoud computing , along with a few professors and their research groups. Any one admitted from UBC of UofT MscAC program if available to comment on my chances , Please do So! Also, I have heard that UBC and UofT conduct interviews before giving acceptance offers. What is asked in those interviews? If anyone experienced is available, please throw some light on the matter and please rate my chances if possible. Thankyou. Sagar Parikh Resume.pdf
  22. I love to understand computation deeply, right from the CPU architecture, and I am having some problems with an embedded camera. I don't know what's the best way to do it, I know that microcontrollers aren't the best option, because they can't deal with all that data (4k/ 8k / 1080p 60fps - high resolution images) I know that the first circuitry that connects to the silicon sensor chip are specific driver chips to provide clock and send the data from all the matrices of pixels via parallel, so I've been reading a lot about Digital Signal Processor (DSP) and Digital Signal Controller (DSC), but I don't know how to connect the sensor, don't know if I only interface it with the DSP and send the data via USB/HDMI and process it in my computer (just another motherboard) with LibUsb, openCV and some graphics library in c; or interface the sensor, DSP and external ROM memory; even thought about interfacing external CPU (intel) proper RAM and ROM and then, interface the DSP and sensor, so that I can create a autonomous robot that process live video from the camera with algorithms created by me, and I don't worry about writing programs in assembly (if this is your solution).
  23. Please also point out any flaws in Technical Details if you see any. Thanks a lot. Statement of Purpose The scientific approach has always been a fundamental facet of my outlook towards life, belief system and academic pursuits. Driven by my scientific curiosity, I have arrived at a juncture where I am confident that a graduate research course with an initial M.Eng. Thesis and leading to a PhD is the most suitable step for me towards a career in research that I aspire to have. My principle interest is to conduct research in the broad area of Machine Learning (ML) and Signal Processing including their application in fields ranging from Robotics, Auditory Perception and Computer Vision. I am particularly fascinated by the application of Reinforcement Learning in Robotics, navigation and object recognition and identification. My goal is to learn and understand the decision making process of present day artificial agents under uncertainty and figuring out ways to improve them for novel applications in future. Thus one of my research interest is on tasks that can be framed as Markov Decision Processes in general and solved by Reinforcement Learning and dynamic programming. Furthermore, having an interest in Neuroscience and Behavioral Psychology, I am quite intrigued by how concepts of learning and intelligence from these fields can help make artificial intelligent systems more capable of human like decision making. I became interested to pursue a graduate degree at the School of Computer Science at XYZ University due to the world-class research going on here in the fields of my interest. At XYZ University, the works of Dr. XY are well suited to my research experiences and goals. I was particularly fascinated by his Lab's project "WWWW” as it utilizes RL techniques to make robots adaptive to changing ocean conditions without directly engineered controllers. I would also like to work on similar projects like Dr. XY’s work, “WWWW”, as it directly aligns with my research interest of working in the field of computer vision and scene understanding. His upcoming project utilizing Reinforcement Learning to identify objects based on how they sound to interact with has attracted me to apply to the program due to my past experience of working with audio classification and future goal of working with Reinforcement Learning. Moreover, the work performed in the Reasoning and Learning Lab is also well aligned with my research interests. My interest in Machine Learning research developed in my junior year while participating in IEEE Signal Processing Cup 2016. Working in this global competition helped me gain enormous experience and insight into the world of research. To participate in this event, I put together a team of likeminded peers. With Machine Learning being a relatively fringe topic in our university without many experts, we resorted to independent study. As I was the principle programmer and signal processing researcher in the team, I conducted literature survey to learn, understand and implement the necessary algorithm and make improvements to the classification system with the help of another team mate; while the rest of the team worked on hardware implementation and data gathering, all within a narrow window of three months. In this event, we classified audio recordings according to the location those recordings were made, exploiting the unique Electrical Network Frequency (ENF) embedded in those recordings. We extracted a wide array of statistical features ranging from mean and variance to more subtle ones, such as those derived from Multilevel Wavelet Decomposition and Auto-regressive models, for the implementation of a Supervised Multiclass Support Vector Machine (SVM). During this work, while implementing a classification system based on high dimensional features, I became introduced to concepts and techniques such as Principal Component Analysis (PCA), Independent Component Analysis (ICA) and Fisher’s Linear Discriminant Analysis (LDA). Moreover, I became familiarized with Bayesian Inference, Gaussian mixture models (GMM), and weighted SVM as well among other concepts from statistics and machine learning. This work taught me how to develop an end-user platform from scratch by taking a concept from existing literature and improving it. Eventually, I managed to lead the team to 11th position among 52 teams worldwide. An extension of this work has been accepted for publication in the peer-reviewed conference proceedings of IEEE R10HTC 2017. This success coupled with the theoretical understanding acquired through great performance in coursework on Data Structure and Algorithms, Random Signals and Processes, Discreet Mathematics, Numerical Analysis, Signals and Systems, and Control System Engineering convinced me that a career as a researcher in the field of Machine Learning or its application is the one I should pursue. I was accepted into two of Bangladesh’s premier universities, Bangladesh University of Engineering and Technology (BUET) and Dhaka University, ranking above 95 percent of the test takers in their entrance exams. At my undergraduate university, Islamic University of Technology (IUT), I received the prestigious OIC scholarship, which provided a tuition waiver for three years of my stay and included a generous monthly allowance. In my senior year at IUT, I designed and instructed a MATLAB based signal processing course for IEEE IUT Student Branch, which was attended by over a 100 students from various levels of my university. Even though I struggled in the initial semesters at IUT due to family problems as my mother passed away from cancer, I showed grit and determination by consistently ranking around the top of my class in the core courses of the last five semesters. At IUT, I worked on many projects ranging from voice pattern recognition system to hardware and software implementation of Microcontroller based temperature sensors for electric motor control. These experiences helped me develop my programming and logical skills. Concurrently, I engrossed myself into machine learning and mathematics by learning from massive open online courses: Machine Learning (Stanford Online, Coursera), Introduction to AI (Udacity), and independent study of books such as Linear Algebra by Gilbert Strang, Reinforcement Learning: An Introduction by Sutton and Barto, and Calculus by Michael Spivak. I also kept following online streams of International Conference on Machine Learning (ICML) and Neural Information Processing Systems (NIPS) to keep in touch with the latest developments in the general field of Machine Learning. In my senior year, I worked in IUT’s nanophotonics group for my undergraduate thesis on computational nanophotonics. We computationally investigated the effects of the near-field enhancements of metal nanoparticles in GaAs, CdTe and Perovskite absorber layers and worked on finding efficient and cost effective materials. The resultant work was published in the proceedings of 2016 IEEE APACE conference. I believe I have the research exposure, determination, and academic preparation to be a part of the world-class graduate research community of XYZ University. I am confident that XYZ University is the best place for me to have a career in the forefront of cutting edge research that I intend to have.
  24. Hi, I'd like help with my SOP if anyone could help me . I'll be glad to help too.
  25. I submitted the Princeton University form late by 5 minutes. Now it's not showing me checklist on applyweb. Is it an automatic rejection then :/ are you guys able to see the checklist on applyweb portal?
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