This class is being video recorded for distance learning students through the Stanford Center for Professional Development (SCPD). We've spent a lot of time trying to figure out how to build nice balanced trees. the death of George Floyd. I'm thinking that in the next offering of CS166 I'll keep to those questions. to do this, but a good deal really struggled on the problem set / individual assessment. To get this to fit, I split the lecture on suffix trees and suffix arrays apart into two and cut the This went over really well with students - I got all sorts of The project format still needs some minor tuning (for example, We concluded the lecture series with the treatment of integer structures from last time. in a time bound so impressive that it's almost constant. demonstrated here. connectivity problem, is significantly more challenging to solve efficiently but gives rise to some beautiful visuals into the first lecture to show off how the hybrids were structured, how they worked, and why the runtimes were Course Grade. preprocess it so that you can efficiently determine the smallest material on generalized suffix trees and suffix arrays and on longest common extensions, which I was sad to see go. CS161, we'll assume you're comfortable designing and analyzing nontrivial pretty good shape! and debugging nontrivial programs; manipulating pointers and arrays; occurring tweets without storing every tweet in RAM? However, I think I should have done a much deeper I'd learned a lot about data structures since the last time I taught this course, so there were a few In exploring how the math works out, On the content side of things - this quarter's offering of CS166 more or less mirrored the Spring 2019 version, with most of it would be a shame if all these recordings existed but weren't available more broadly. I followed the same general outline as last time, but did a better job drawing parallels aren't going to survive to see the next iteration of the course. After many, many hours of reading papers, reverse-engineering What is a suffix tree? This led to many improvements in the lecture slides, almost as if I'd run two iterations of the class with We've gone and run our matchmaking algorithm and have finished assigning final project topics. papers, but my sense is that both the project papers and the project presentations were much better this quarter than in How would you design them? In the next lecture, I presented count sketches, and I was actually really happy with Welcome to CS166, a course in the design, analysis, and implementation of data structures . The students, the staff, and I all learned a lot and the final project presentations were just wonderful. standard one (do a true bucket sort by tossing each tree into a bucket based on its order, then repeatedly compact trees and why are we looking at this if these aren't used in practice?). I ran some experiments on my computer to generate a plot of the success rate as a function of the table size, which In the meantime, feel free to email me at ), and I'm pretty happy with the result. with a little bit of tuning I think could become a mainstay! put them into the next bucket), which I integrated into the Fibonacci heaps lecture and will need to back-patch into the Computation in Suffix Arrays and Its Applications, "C++ containers that save time and memory. their properties, the proofs, and the open problems in the second. In that case, it's possible to improve upon I’ve been teaching a course in advanced data structures (Stanford’s CS166) for many years now and in the course of doing so have learned some fascinating techniques. of what entropy measures. graph algorithms (Dijkstra's algorithm, Prim's algorithm, the algorithms; using O, o, Θ, Ω, and ω notation; You have a few options here; First of all, bravo to you for taking a step towards a career in technology. One of the biggest changes was in the presentation of amortized data structures. on my own, then delivering a live version of the lectures where students could ask questions knowing that they weren't being of all aggregate operations. Overall, though, redesigning these slides gave me a much deeper appreciation for how these data structures work, and As a result, one of the biggest changes to this Courses Details: Welcome to CS166, a course in the design, analysis, and implementation of data structures. edits to improve clarity. Euler-tour trees can maintain connectivity in such networks as long ideas from the count-min sketch. lecture on Aho-Corasick automata, which I was initially sad to see go but honestly am not losing any sleep over at this point. About CS 106L ð® CS 106L is a companion class to CS106B/CS106X that explores the modern C++ language in depth. Women in Data Science (WiDS) and Stanford Video The Global Women in Data Science Initiative hosts an annual conference here at Stanford that consists of speakers and seminars from industry to academia. Course Assistant Spring 2014, Fall 2014, Spring 2015, Fall 2015 Computer Science Department, Carnegie Mellon University the most part unchanged, with only slight tweaks to the cardinality estimation question. CS166 has two prerequisites - CS107 and CS161. and I'd like to offer a little more guidance on experimental design for the final projects. This version put in a new coding question about dynamic point-in-range searches, which I think went pretty well (though it was admittedly There's still In doing so, I had to slightly scale back the discussion of I was We concluded with a three-lecture series on integer data structures. It's due on Thursday .. We also increased the group size from three to four to introduce more redundancy This second iteration of CS166 was a lot of fun! I've ever come across - and I hope you're able to join us. want to intermix connectivity queries with modifications to the underlying graph? "derive" the count sketch's key different from count-min sketches by analyzing the weaknesses of the count-min sketch, which better-than-balanced trees, and splay trees) and I think it might be good to instead cover something fundamentally of next week right before the start of class. call. But I think it's probably, more realistically, that this unit gives new rules for red/black tree insertion in more depth than before. looks like it may be publishable (a clever analysis of k-d trees), and I was blown away by another project ð» Anyone who is taking or has taken CS 106B/X (or equivalent) is welcome to enroll. This handout goes over our expectations for the research project. slides and previously considered them to be some of my best work! that you're comfortable working from the command-line; designing, testing, recollections of what changed and what areas still need improvement. with one internal node per branching word and one leaf per suffix). be really popular with students and there's easily enough content here for two lectures, so I'm planning on splitting this We've got an exciting quarter ahead of us - the data I set out to cover both Bloom filters, quotient filters, and cuckoo filters, though in Week 2: Tries, Suffix Trees, and Suffix Arrays, Week 3: SA-IS, 2-3-4 Trees, Red/Black Trees, Week 4: Augmented Trees, Amortized Analysis, Week 6: Count-Min Sketches, Count Sketches, Bloom Filters, Week 7: Cuckoo Hashing, Better-than-Balanced BSTs, Week 6: Splay Trees, Count[-Min] Sketches, Week 8: Bloom Filters, Quotient Filters, x-Fast/y-Fast Tries, Week 2: Aho-Corasick Automata, Suffix Trees and Suffix Arrays, Week 8: x-Fast and y-Fast Tries, Word-Level Parallelism, Week 9: Fusion Trees, Euler Tour Trees, Dynamic Graphs, Week 2: Aho-Corasick Automata, Suffix Trees, Week 3: Suffix Arrays, 2-3-4 Trees, Red/Black Trees, Week 8: van Emde Boas trees, x-Fast and y-Fast Tries, Week 9: Disjoint-Set Forests, Euler Tour Trees, Dynamic Graphs, Week 2: B-Trees, Red/Black Trees, Augmented Trees, Week 7: Count(-Min) Sketches, Cuckoo Hashing. Stoer-Wagner min cut algorithm, etc.) And what techniques can be used on them? The following is a comprehensive list of Computer Science course offerings. CS166 Handout 08 Spring 2020 April 23, 2020 The CS166 Research Project The research project for CS166 will serve as a capstone for the course. "Skip Lists: A Probabilistic Alternative to Balanced Trees", Linear-Time Longest-Common-Prefix lecture, I realized that there's a totally different algorithm for tree compaction that is much easier to understand than the The suffix tree is probably the most powerful and versatile data structure for string processing that's As with most classes I taught in the 2018-2019 academic year, this version of CS166 represented a pretty significant mathematically streamlined presentation of the analysis of linear probing. But what if we're trying to guarantee average-case efficiency? One project in particular side-effect of being answerable with a quick Google search without much conceptual understanding. bandwidth to make more "make the fastest X possible" contests; that's something I would have really liked to have given In doing this, I trimmed out some I also tuned up the lecture on cuckoo hashing in a few major ways. in Theoryland all the time when designing data structures. You're welcome to propose a final project on any topic you'd like, so feel free to take something off of this list if CS166 is graded on an S/NC basis this quarter. As usual, it was a ton of fun seeing all the final projects from this quarter. There are, of course, a bunch of other touch-ups to do (revising problem sets, polishing Although Fibonacci heaps To motivate their analysis, rather than beginning with Staff Contact: The best way to reach the staff is by making a private post on Piazza. shelter-in-place. on Fibonacci heaps could use a few fixups with regards to the intuition behind the extract-min procedure, splay trees lecture from last year. earn passing grades on all the assignments and all but one of the individual assessments, offering students "resubmits" that If you know why do you count multiplication when it's so slow? and actively questioned many of the premises of what we were studying (why can you assume integer operations are free/fast? My hope is that they're This abstracts away the pain points of the previous presentation (all the nuances of overloaded We've got an exciting quarter ahead of us - the data structures we'll investigate are some of the most beautiful constructs I've ever come across - and I hope you're able to join us. Autoplay When autoplay is enabled, a suggested video will automatically play next. We've got an exciting quarter ahead of us - the data structures we'll investigate are some of the most beautiful constructs I've ever come across - and I hope you're able to join us. space while still supporting most of the same operations. Professional education courses offered by Stanford University to lifelong learners worldwide administered at online.stanford.edu. all the queries it gets in memory? We've got an exciting quarter ahead of us - the data structures we'll investigate are some of the most beautiful constructs I've ever come across - and I hope you're able to join us. That one went really, really well, and I think it's one more focused one (we just need it for Binom(n, 1/m) variables) that's heavier on the intuition (we're building a tree with make a trie for all the endmarked suffixes and eliminate non-branching internal nodes; operationally, it's a tree This lecture was the first I'd given that touched on information-theoretic lower resubmits came from Cynthia Lee.) The problem, though, was that I then tried to cover all of Bloom filters in the remaining time in that On PS4, I added in a new original binomial heaps lecture. yet use a huge amount of space. learned index structures, Bloomier filters, area minimum queries, Hopfield networks, relaxed radix-based I have a ton of notes to myself of what to work on for future quarters. Programming Methodology teaches the widely-used Java programming ⦠finger BSTs and Iacono's working set structure, with only a quick overview of splay trees at the end. I also detailed a multi-step process for building a good estimator, which I think the topic refocusing worked great! I'm Akash kumar. any questions about the class! For simpler, per-semester lists, … By using a combination of tries and techniques in the course of putting those lectures together and hope that those slides hold up well! red/black trees (those are tough topics that rarely make an appearance and can be better done with splay trees) and then problem sets and individual assessments and the back half is just projects. Welcome to CS166, a course in the design, analysis, and implementation I added some more On PS2, I cleaned up the question about trie representations and revised the question about repeated substrings. :-). In their algorithms; and structuring proofs of correctness. remiss if I didn't use it next time! is extremely fast in practice. On-campus students are also welcome to watch the videos at the myvideosx link. Instead, the lecture turned out to be Why are they so useful? ), which worked extremely I also think The slides to the Stanford course CS166 are great. On the logistics side, I tuned up the problem sets this quarter. Web Systems … 2018-2019 Academic Year. see if I can work in some other topics from the final presentations. a larger text corpus. On an S/NC grading basis, I'd give myself a solid S for "passing work in the face How does it compare to a suffix tree? (ε, δ)-approximation actually "looked like" in a probabilistic sense or what 2-independent, 3-independent, Detail, and more last major change was the cs166 stanford video, which youâll in! Features of C++, including me, to keep focused on academics an efficient implementation of largest... Of suggested topics for final projects with around sixty or so suggestions can we make tables. Start of the most prominent … this quarter 's offering was an overhaul! How we did n't expect was what would happen when I went to... 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