Cs161 stanford Please refer to the current semester's site for up-to-date content. We strongly recommend typesetting solutions to homework sets in LaTeX. CS161 covers in depth fundamental data structures and techniques for algorithm design and analysis. CS161 is a course that teaches algorithm design and analysis techniques for various domains. Algorithms for fundamental graph problems Jun 23, 2025 · Worst and average case analysis. The lecture notes and reading assignments have mathematical details the slides may be missing. The slides are the best resource for what actually happened in lecture. LaTeX is the standard for typesetting CS/math/etc papers, and will likely come in handy outside CS161. There are several broad groups of people who take CS 161. Depending on how quickly we're able to cover various topics, we may proceed more quickly or more slowly than the syllabus indicates. Collaboration between groups (of enrolled CS161 students) is allowed, but (a) you must give credit to collaborators, and (b) each group must type up their own solutions from scratch. Important info about the midterm: The midterm is a take-home, closed-book, timed (3 hour) test. Algorithm design techniques: divide-and-conquer Loading…Please login to view this page. For the homeworks you may use any resource you like (including other students), although rules about plagiarism still apply (you must properly cite sources used). You may cite any result we hav seen in class or CLRS without proof. Algorithms for fundamental graph problems: minimum-cost spanning tree, connected components Before taking CS 161, it is important that you complete CS 103 and CS 109/STATS 116, or the equivalents. CS 161 Design and Analysis of Algorithms Lecture 1: Logistics, introduction, and multiplication! Students also know that CS 161 is the magic key to unlocking technical interviews. Most of the lecture notes are adapted from Virginia Williams' Spring 2015 offering of CS161. Recurrences and asymptotics. You are allowed to use a double-sided cheat sheet that you have prepared yourself during the exam, but nothing else. Please check the Stanford course catalog for the current/next offering of CS161. Topics include the following: Worst and average case analysis. CS majors at Stanford, who need this class to graduate (and also to pass interviews). Algorithm design techniques: divide-and-conquer Course Schedule | Summer Academic Year '24-'25 Not a Stanford student? Go to Stanford Summer Session for information regarding courses available to Summer Visitor students. Signature: Name: SUNetID: SOLUTIONS Name: Page 2 of 14 1 Multiple Choice (36 pts). CS161 Fall 2014Comments and Suggestions: send to staff mailing list cs161-aut1415-staff@lists. Course Description This course will cover the basic approaches and mindsets for analyzing and designing algorithms and data structures. Please check Stanford ExploreCourses for information about the next or current offering. Example LaTeX solution set: See the Homework Resources section below for an example of a LaTeX'd solution set. edu. Efficient algorithms for sorting, searching, and selection. stanford. CS 161 Main Page Design and analysis of algorithms: CS 161, Stanford, Tim Roughgarden by Machine Learning Resources • Playlist • 46 videos • 20,463 views CS 161 at Stanford University (Stanford) in Stanford, California. Access study documents, get answers to your study questions, and connect with real tutors for CS 161 : Algorithms: Design and Analysis at Stanford University. Find course information, syllabus, problem sets, programming assignments, lecture videos, and office hours here. You can use any three hour window between pick-up and drop-off to take the exam. Worst and average case analysis. Course Description: This course will cover the basic approaches and mindsets for analyzing and designing algorithms and data structures. Information, assignments, and announcements may no longer be relevant. You h ve 180 minutes to complete this exam. These solutions include examples of pseudocode in a few different environments, as well as Course Description This course will cover the basic approaches and mindsets for analyzing and designing algorithms and data structures. Sep 23, 2025 · These recordings might be reused in other Stanford courses, viewed by other Stanford students, faculty, or staff, or used for other education and research purposes. Summary Welcome to CS161L: Implementation of Algorithms! This is a new companion lab to CS161: Design and Analysis of Algorithms. In particular, you should be comfortable with proofs, discrete mathematics, basic graph and set theory, and introductory probability theory. Example LaTeX solution set: See the Homework Resources section below for an example of a LaTeX'd solution set and a LaTeX template. Specific topics to be covered include: Welcome to CS 161! Design and Analysis of Algorithms, Stanford University, Fall 2017. Note that while the cameras are positioned with the intention of recording only the instructor, occasionally a part of your image or voice might be incidentally captured. Algorithms for fundamental graph problems The Stanford Honor Code and CS Honor Code apply to this class. Data structures: binary search trees, heaps, hash tables. Algorithms for fundamental graph problems: minimum-cost spanning tree This handout contains the tentative syllabus for CS161. Course Schedule | Winter Academic Year '25-'26 Not a Stanford student? Go to Stanford Summer Session for information regarding courses available to Summer Visitor students. These recordings might be reused in other Stanford courses, viewed by other Stanford students, faculty, or staff, or used for other education and research purposes. The midterm will be picked up on Monday 2/10 and dropped off Tuesday 2/11. Important Note: Courses that have an asterisk (*) are eligible CGOE courses. Welcome to CS161! Stanford University, Fall 2025 Course Overview Instructor: Mary Wootters When and where? T/Th 9am - 10:20am, Bishop Auditorium. THIS COURSE RAN WINTER 2020 AND IS NO LONGER ACTIVE. Algorithm design techniques: divide-and-conquer, dynamic programming, greedy algorithms, amortized analysis, randomization. Algorithms lectures (written for CS 161) Handout on proof techniques (written for CS 224W) A brief explanation of reservoir sampling and Bloom filters (YouTube, 4m36s, created for CS 246) A talk on compromising the anonymity of datasets (written for COEN 242, Santa Clara University) The CS 161 TA manual Practical advice on being a TA Stuff about deanonymizing web browsing data TEDx talk Loading…Please login to view this page. Computer Security at UC BerkeleyThis website contains materials from a past semester. You may not use any ot By signing your name below, you acknowledge that you have abided by the Stanford Honor Code while taking this exam. Important Note: Courses that have an asterisk (*) are eligible SCPD courses. You may use two handwritten double-sided sheet of otes that you have prepared yourself. In this lab, you'll get a chance to actually implement many of the algorithms taught on a whiteboard in that class, to see what details are swept under the rug when dealing with algorithms on paper. Please see this Piazza post CS 161 Final Exam Do not turn this page until you are instructed to do so! stions to the best of your abilities. The IPython Notebooks have implementation details that the slides may be missing. Therefore, you should expect CS 161 students to have a wide range of backgrounds. These solutions include examples of pseudocode in a few different environments, as well as examples of how to include images and Welcome to CS 161! Design and Analysis of Algorithms, Stanford University, Winter 2020. Loading…Please login to view this page. CS161 Course | Stanford University BulletinWorst and average case analysis. NOTE: This offering of CS161 ran Fall 2017 and is no long active. Schedule – CS161Schedule Welcome to CS161! Stanford University, Fall 2025 Course Overview Instructor: Mary Wootters When and where? T/Th 9am - 10:20am, Bishop Auditorium. Resources Past Exams Staff recommends focusing on the Summer 2023 and later exams (bolded and highlighted below), as these will be the most representative of the style of Course Description Worst and average case analysis. 3ztwu1 rz3ig fzx0bvw8 aav30r my 8dhhr mlixtdki mawo e3qj 77a