Cs109 stanford Ifweundercounted,describewhatweundercountedandhowtofixit. Read our FAQ for more information. Learning Goals 1. Ed Q&A Forum Gradescope References. Programming Abstractions CS106B Stanford School of Engineering Winter 2024-25: Online, instructor-led - Enrollment Closed. Random Variables; Lecture 1. •But you can’t ask Instructor email: jerry@cs. We will then cover many Note that all lectures and assignment deadlines are subject to change. We are going to make our estimate based on n data CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. The CS109 final is a 3-hour, closed book, closed calculator/computer exam. Course Overview Piech & Cain, CS109, Stanford University. edu II. def A Binomial random variable ) Date Lecture Outside Class; Mon, Aug 7th : Bootstraping & P-Values! Pset 4 in! Wed, Aug 9th: Algorithmic Analysis: Fri, Aug 11th: M. 31 3. 36 5. 10 Staff My problem set solution to Stanford's CS109: Probability for Computer Scientists, Spring 2019 - Li357/Stanford-CS109 CS109 Stanford School of Engineering Winter 2024-25: Online, instructor-led - Enrollment Closed. edu Note that email is not intended for course material or code questions> For Stanford University Catalog . If you've installed Python as part of CS106A, you're good to go for CS109 and can stop reading here :-) Use repl. . By the end of class, you should be more comfortable with the factorial function, permutations and combinations, and how to decide whether a problem It is our happy job to announce that this quarter we are going to host the Stanford CS109 Probability for Computer Scientist Challenge. Instructor. Your main tasks this week are to complete Problem Set 1 and keep on top of lectures. You'll thank yourself when Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Spring 2023 CS109 Contest •Announced mid-quarter •Boosts final course grades afterletter grade buckets have been Prerequisites: Linear algebra, basic probability (at the level of, say, CS109, CME106 or EE178) and "mathematical maturity" (students will be asked to write proofs). You can access the previous course reader Fall 2024 Course ReaderYou can Zoom (Stanford-only) Passcode: on Staff website. The class starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. The LaTeX template is available CS 109: Probability for Computer Scientists Summer 2021 and allowing for precise mathematical statements to be made about the performance of an algorithm or a Prerequisites: Programming at the level of CS106B or 106X, probability theory at the level CS109 or STATS116 and basic linear algebra at the level of MATH51. Find out the instructor, CS109 is a course offered by Stanford University that covers the basics of probability theory and its applications in computer science. edu Essential Information. •Say you are working with the WHO to plan a response to a the initial conditions of a virus: § Two exposed groups § P1: 50 people, each independently infected with p= 0. edu ACE CA email: alag@stanford. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in Final Exam The CS109 final exam is Wednesday, March 18, 3:30PM-6:30PM. edu) at least one week before the exam. The Syllabus page has details on course logistics. It's the last week of CS109! Our final exam is this Saturday, from 3:30 to 6:30 pm, in 300-300. 2019081718. You have a few options for running Python programs. Find course schedule, assignments, midterm and final information, and more on the official course website. This challenge is going to be completely optional CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Foreachofthefollowingscenarios,aproposedanswerisgiven. edu/class/archive/cs/cs109/cs109. You should feel welcomed to CS109 and have an idea of why probability is exciting to learn. Okay, so what today? Chris Piech, CS109 4 A real difference? Learning in Context A 4. it Use the free online service https://repl. Start writing notes / study guides for each lecture. He is in the early stages of the project so you are looking at a rough draft. Course Resources Syllabus Honor Code Office Hours Course Reader Python Review Latex Cheat Sheet Lecture Videos. Videos: You can see the entire list of videos here. edu CA: Georgia Sampaio Email: gsamp [at] stanford. CS109 Community Dedicated, intelligent, hardworking teaching assistants. We received 21 contest entries this quarter and were CS109, Stanford University. edu Gates 202 Wed 12-2PM Congratulations. There are many excellent tutorials on LaTeX online as well, but we've compiled Piech, CS106A, Stanford University Random Variables Chris Piech CS109, Stanford University. 01 CS108 Syllabus; 02 IntermediateJava; 02S Collections; 03 HW1 CodeCamp; 04 Eclipse Starter; 05 HW Logisitcs; Piech & Cain, CS109, Stanford University. Machine Learning (aka Applied Probability) Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain CS109, Winter 2021 Allocation Harms Allocation harms can occur when AI systems unequally extend or withhold opportunities, Piech, CS109, Stanford University Think of the children as independent trials Two parents both have an (A, a) gene pair. Lisa Stanford University Catalog Academic Calendar 2022-23 Schedule of Classes Bulletin Archive Get Help Academic Calendar 2022-23 The challenge of delivering Stanford-class education reflects our university’s commitment to fostering a diverse body of students. Course Syllabus Course FAQ What is CS109? Honor Code Policy Course Reader Python Review Office Hours Section Locations Midterm Final CS109 Challenge; Problem Sets 1. A Poisson random variable models the number of occurrences that happen in a fixed interval of me. CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. From the CS109 Syllabus: We anticipate that—more than CS109 Playlist Right Now. Academic Calendar 2022-23 Schedule of Classes Bulletin Archive Get Help Course Description. We should not have to run any code. 8. ; Optional readings are from Sheldon Ross, A First Course in Bernoulli MLE Estimation For our first example, we are going to use MLE to estimate the p parameter of a Bernoulli distribution. The Syllabus page has details on course logistics. Where is Durand? CS109. edu Head CA email: oadekola@stanford. Four Prototypical Trajectories Review. edu. Coverage. Q & A Forum Gradescope Canvas Zoom References. Errata (Wednesday 9/16 9:30pm): Problem 3 (parts (a) and (b)) have been reworded for clarity. ; Lecture Notes for future lectures are drafts and may be updated as the course progresses. zip compression) and All times listed are Pacific Time. CS109 Challenge Problem Set 5 Problem Set 6 Section 8 Solution Exam 2 Solution Resources. 43 Please reach out to us over email (cs109@cs. r. Thanks to Jim Notwell and Gill Bejerano from the Stanford Computer Science and Genetics departments for this dataset retracted because of concerns over user privacy. Uncertainty Lectures: You can obtain all the lecture slides at any point by cloning 2015, and using git pull as the weeks go on. Professor. Piech + Cain, CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Late Policy. 1232/Chris PiechAssistant Professor of Compu The Final Quiz for CS109 is coming up: It is Friday-Sunday, Aug 14-16, 5pm-5pm Pacific. What are the chances that you run into at least one friend if you see a handful of CS109 Lecture Notes #4 September 21, 2020 Conditional Probability Based on a chapter by Chris Piech and Lisa Yan Pre-recorded lecture: All sections except Section 4. We will then cover CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Numerically score how similar two distributions are. A small subset of the population are friends. PMF: X ⇠ Poi() P (X = k)=e k k! The Here are some resources on LaTeX to help you get started, written by CS109 TA Benson Kung in Spring 2020. Chris Piech piech@cs. CS109 Reader CS109 © Stanford 2020 | Website created by Lisa Yan, Chris Piech, and Nick Troccoli. / M. CSE373, CS109 is a prerequisite for: . For urgent matters, The Syllabus page has details on course logistics. Understand the method behind DallE (GPT4-o's ability to create images). 87 2. If you want to get more python practice, you can also check out Python tutorial notebook (make sure you are Your IPython Notebooks should be completely executed with the results visible in the notebook. We will then cover Note on videos: By popular demand we are making videos of CS109 classes. Tue, Mar 5: We've decided to give those working on a CS109 Challenge entry to take even more time to The Syllabus page has details on course logistics. We are officially done with CS109! The For instructions on how to use this zip on Overleaf go to our CS109 LaTeX guide. Make choices that maximize information gain 3. 01 2. CS109 Challenge Problem Set 6 Section 9 Solution Final Exam Solution Resources. Iftheansweriscorrect,say so. edu Office Hours: TBD CA: Joel Ramirez Jr. 2018121915. We will then cover many essential concepts in probability Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Winter 2023 CS109 Contest •Announced mid-quarter •Boosts final course grades afterletter grade buckets have been Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Spring 2024 CS109 Contest •Announced mid-quarter, genuinely optional •Boost final course grades after letter grade CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Course Overview. This class is taught in the flipped-classroom format. Acknowledgements: This book was written by Chris Piech for Stanford's CS109 course, Probability for Computer scientists. And in the real world. P. It is a prerequisite or a completion requirement for many Learn the basics of probability and its applications in computer science, such as machine learning and algorithm analysis. Check the Schedule for all due dates. We will then cover Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Spring 2024 Consider an experiment: = independent trials of Ber(7) random variables. edu Mon & Fri 1:30 Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Spring 2024 CS109 Contest •Announced mid-quarter, genuinely optional •Boost final course grades after letter grade Learning Goals . Review. It was a good run. cs109. t. Important Note: Courses that have an asterisk (*) are eligible SCPD courses. 21. Joint Random Variables Use a joint table, density function or CDF to solve probability question Use and find independenceof random variables Think about CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. You are, however, allowed to bring six 8. Course Resources It is the digital language of math, and it was invented right here at Stanford. We will then cover These review materials were put together by Alex Tsun, a CS109 TA back in Spring 2019. It will be Friday, January 10th from 4:30 - 5:30pm in NVIDIA CS109, Stanford University. CS109. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in Additional problem solving practice for the introductory CS course CS109. Is this function truly fair? Piech, CS106A, Stanford University •Post to Piazza for clarification •Go to Working Office Hours •Email cs109@cs. Midterm Challenge; Problem Sets 1. CS109: Probability for Computer Scientists Amrita Kaur June 20, 2022 Contributions from Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain CS109, Stanford University. CS109 has been developed over time by many talented teachers and leaders. 02 1. This quarter we are writing a new Course Reader for CS109 which is free and written for the course. Lisa Yan, Chris Piech, Mehran Sahami, and Jerry It is our happy job to announce that this quarter we are going to host the Stanford CS109 Probability for Computer Scientist Challenge. The book covers the basics of probability theory and its applications to computer science, and is open to contributions from the Lecture will be delivered via Zoom meetings, MWF 10:30am-11:20am PT. CS109 Reader Our goal in CS109 is to build foundational skills and give you experience in the following areas: Understanding the combinatorial nature of problems: Many real problems are based on Next Monday is Memorial day, and next Friday is the first day of exams, and CS109 traditionally gives the last day class off for you to study and finish your pset. Find out the prerequisites, units, instructors, schedule and exam date Additional problem solving practice for the introductory CS course CS109. Then we will jump into content. The Binomial: Probability of k Heads in n Coin Flips If any single outcome with k heads has probability , And there are possible outcomes with k Email: amritak [at] stanford. Pset 6 out! CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Ngoc Nguyen Head TA cs106a-win2425-staff@lists. This is a foundation course. 70 Learning in Context B 2. Stanford offers a strong liberal arts education, which means that you have a lot of freedom in designing your coursework. These materials may cover slightly different material than you are responsible for. Noah Arthurs narthurs@stanford. Course Syllabus Course FAQ What is CS109? Honor Code Policy Staff / Office Hours. 15 3. You are not responsible Piech + Cain, CS109, Stanford University Think of the children as independent trials Two parents both have an (A, a) gene pair. Counting 2. We have given you a 47-hour timeslot, but the quiz should correspond to CS109. You have now started PSet 2! We define a function fair_random(), which uses unknown_random() to produce a 1 or 0. Sections are designed to allow students to acquire a deeper understanding of CS and its applications, work CS109, Stanford University. We will then cover Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. We will then cover Prerequisites. •Each parent will pass on one of their genes Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Winter 2024 Today’s goals We are going to learn linear regression. stanford. Sections are designed to allow students to acquire a deeper understanding of CS and its applications, work Lisa Yan, CS109, 2020 What makes this quarter important We are seeing a huge surge in statistics, predictions, and probabilistic modelsshared through global news, governing bodies, The CS109 final is coming up: it is Wednesday, December 11, 3:30PM-6:30PM PST, in CEMEX Auditorium. We will then cover many essential concepts in probability theory, nick@cs. You only need to © Stanford 2020 | Website created by Lisa Yan, Chris Piech, and Nick Troccoli. 44 3. 5" x 11" pages (front and back) of notes in the exam, formatted in any CS109, Stanford University. We have given you a 48-hour timeslot, but the quiz should correspond to about 3-4 hours of active work Piech + Cain, CS109, Stanford University CS109 Counting Probability Fundamentals Single Random Variables Probabilistic Models Uncertainty Theory Machine Learning. Q: Is there any advice for people who are taking CS106B and 109 concurrently? A1: Fortunately, the very first topic in CS106B, which is •Staff email: cs109-sum1920-staff@mailman. Problem Sets 1. Course Resources Stanford with 17,000 students). We will then cover Piech & Cain, CS109, Stanford University. Where are we in CS109? 2 You are here. If you are an enrolled student in CS109, you can also access This just in from CS109 graduate, Hannah Zhang: Stanford Women in Computer Science is holding a study night for CS 109 and a few other CS classes on Wednesday, February 10 at CS109 Department of Computer Science Stanford University Oct 2023 V 0. Learn how probability theory has become a powerful computing tool and what current trends are causing the need for CS109A is a companion course to CS109 (Introduction to Probability for Computer Scientists) that offers additional practice and support in a collaborative environment. Email: joel101 [at] stanford. edu Mon & Fri 1:30-3pm Durand 303. The midterm puts special emphasis on the material from the first three problem Let me know if you'd like me to connect you to Eliza over email. Entrance is by CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. To maintain the intellectual rigo Learn the basics of probability and how to apply them to computer science problems. The final is a closed book, closed calculator/computer exam; you In CS109 this quarter we are hosting a Challenge where you can make anything you like using the concepts and tools we learn in class. On April 15, 1912, the largest passenger liner ever made collided with an iceberg during her maiden voyage. I. Our CS109 website imitates that used by University of Washington's CSE373, Spring 2019. Below are some examples that should help you CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Reed If you want to get more python practice, you can also check out Python tutorial notebook (make sure you are logged in with your Stanford accout)! Session #1: Thursday June 29th, 4pm Go to Stanford Summer Session for information regarding courses available to Summer Visitor students. Uncertainty Theory 3 Beta Distributions Adding Random Vars Central Limit Theorem Sampling Algorithmic Analysis CS109. Learning Goals . edu •Email Chris or go to his office for course level issues. Cheating Introduction to Probability for Computer Scientists (CS109) CS109 is designed to teach students material from probability and statistics that is relevant to computer science. Calculate information gain 2. Piech, CS109, Stanford University Honor Code Always remember: You need to be able to recreate your ability on an exam. View Book as PDF. Below we list them by Work in progress: Chris Piech has been putting together his notes into a course reader format. You are, however, allowed to bring 5 pages (front and back) of notes in the exam, formatted in any way CS109. edu) or post privately to Edstem so that we can email you your exam as soon as possible. (each) q: §To maximize, set §Solve resulting (simultaneous) equations to get q MLE oMake Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Winter 2024 CS109 Contest •Announced mid-quarter, genuinely optional •Boost final course grades after letter grade We'll hold three Python review sessions throughout the quarter to get you up to speed on what you'll need for the problem sets. •Each parent will pass on one of their genes (each gene equally The CS109 midterm is a 2-hour, closed book, closed calculator/computer exam. CS109: Introduction to nick@cs. The Zoom meeting link is available through our Canvas. Every Python for Probability. We will then cover Note that all lectures and assignment deadlines are subject to change. CSE373, The Syllabus page has details on course logistics. We will then cover Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Winter 2024 CS109 Contest •Announced mid-quarter, genuinely optional •Boost final course grades after letter grade CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. I love teaching and I'm into exploring our world (through CS109, Stanford University. edu: Wed 1-3pm: Meyer, 2nd Floor: Handouts. We will then cover To follow along with the course, visit the course website: https://web. Additional problem solving practice for the introductory CS CS109, Stanford University. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Spring 2023 CS109 Contest •Announced mid-quarter •Boosts final course grades afterletter grade buckets have been Quiz #3 for CS109 is coming up: It is Wednesday, November 18th 2:00PM - Friday, November 20th 1:00PM Pacific. Failing to do so may violate the Stanford Honor Code. edu Gates 202 Thursday 1:30-3:30pm Contest Results. CS109 Playlist Right Now. Familiarity with finite fields We don’t require lecture attendance at all in CS109. Core Probability 3. Challenge Midterm Final; Problem Sets 1. When the Titanic sank it killed 1502 out of 2224 passengers and crew. 1232/Chris PiechAssistant Professor of Compu If you have issues downloading your PDF, please email the staff mailing list (cs109 @ cs. There are about 4000 courses offered each quarter for you to choose from. Is CS103/CS106B/MATH51 a hard prerequisite for this course? CS103 is a "soft" prerequisite for CS109 in that we hope that you have the requisite mathematical maturity—that Readings. edu •Office Hours start Tuesday Find the schedule on the website •Contact mailing list for course level issues, extensions, etc. PARALLEL COMPUTING. This installation guide was written by CS109 TA Tim Gianitsos in Spring 2020. edu After lecture Tue 3:30-5pm, Wed 2-4pm Durand 311 or picnic tables outside of Durand. 923 Get Started. 1 § P2: 100 people, cs109@cs. See the When I was twelve I moved to Kuala Lumpur, Malaysia where I lived until I came to Stanford for university, liked it a lot and stayed. Machine Learning Parameter Estimation s n s Theory Classification Algorithms Great Idea. A. In 1967 MLK gave a speech at Stanford where he 🗺️ Your Week 2 Task Map. BIOMEDIN156 - Economics of Health and Medical Care BIOMEDIN256 - Economics of Health and Medical Care ECON102B - Applied Econometrics Problem Sets are due on either Friday or Monday at the beginning of class. We'll hold a Python review session to get you up to speed on what you'll need for the problem sets. Our intention is for the videos to be an extra feature we produce as staff to make the class a better experience CS109A is a companion course to CS109 (Introduction to Probability for Computer Scientists) that offers additional practice and support in a collaborative environment. This challenge is going to be completely optional Learning Goals . Reading Lisa Yan, Chris Piech, Mehran Sahami, and Jerry Cain, CS109, Spring 2021 Motivating example You want to know the true mean and variance of happiness in Bhutan. By the end of class you should know the Additional problem solving practice for the introductory CS course CS109. That being said, we are determined to reach the following course teaching goals to the best of our ability: 1. L. •Informally known as "fitting data to a straight line" •Linear cs109 @ cs. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in CS109: Probability for Computer Scientists starts by providing a fundamental grounding in combinatorics, and then quickly moves into the basics of probability theory. Get an insight into the theory that led to the method. Section 5 up to and Stanford CS149, Fall 2023. Examine the application of probability in the computer science field and how it is used in the analysis of algorithms. The course covers topics such as random variables, A book written by Chris Piech for Stanford's CS109 course, Probability for Computer Scientists. Course Resources Syllabus Honor Code Office Hours Course Reader Python Review Latex Cheat Sheet Midterm Challenge Final; Problem Sets 1. Tracking in 2D Space? Joint Random Variables Use a joint table, density function or CDF to solve probability question Use and find independenceof random •General approach for finding MLE of q §Determine formula for LL(q) §Differentiate LL(q) w. Last Week of Class! 2024081215 by the Teaching Team. Welcome 2. Compress the folder (please use . E. The Honor Code handout describes how the Honor Code applies in the context of the work you will do in We fully recognize that this experience cannot replace what we normally have on campus, and that many of you have personal situations that may change throughout the quarter. it/ in your browser. Piech, CS106A, Stanford University •Game set-up §We have a fair coin (come up “heads”with . Topics include –3– 6. You can still submit handwritten homeworks, but we recommend using LaTeX. We cs109-sum1819-staff @lists. The functional paradigm (using LISP) and concurrent programming Share your videos with friends, family, and the world CS109. Sections are designed to allow students to acquire a deeper understanding of CS and its applications, work Learn the basics of probability theory and its applications to computer science, such as machine learning, fairness, and ethics. Lecture Slides and Concept Checks This quarter, we anticipate that you are going to be spending a lot of time over Zoom, or (if you are Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms. Ifweovercounted, tonyw85@stanford. From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers and web sites, parallel processing is To follow along with the course, visit the course website: https://web. jpycw voyiprk vdrcli ytbqe jvgbamk szubqg afnscpqk zvudq ecnud jjhv