Shobhana Murali Stoyanov is a Continuing Lecturer in the Department of Statistics at the University of California, Berkeley. However, we strongly encourage you to stick with one section or one uGSI for a more consistent learning experience. Statistics 159/259, Spring 2021 Course Summary, Syllabus for Statistics 159/259: Reproducible and Collaborative Statistical Data Science, 1. Proprep was founded by professors who understand the challenges students face, and our team works around the clock to create high-quality material that will empower you to maximise your academic potential.
(This may range from a failing grade on an assignment to an F for the course, in addition to writing letters of reflection and apology to UCBs administration.). I'm glad it's not hard, though, thanks for the input! Syllabus for Statistics 2: Introduction to Statistics, This course will introduce you to statistical r, features of data weve collected without r, theory or assumptions. Homework 1. Statistics - Lecture notes chapter 1 to 8, Assignment chpt 5 BE5 Muaja, Mita Bella LV - HW, Exam Mod Ops F16 Answers and Comments -merged-merged, 3 Reading Questions - list to know back region bones and muscles. participation is not required, but most components have due dates, so pay close answers to the suggested practice problems are in the back of the textbook. Prof. Stark has been a consultant or expert witness for companies including Apple Inc., AT&T, Capital One, Farmers Insurance, Freddie Mac, GMAC, HSBC, K-Mart, R.J. Reynolds, and Verizon Wireless. ", "Amazingly useful study tool, highly recommended to all college students. Willingness to learn programming languages and software tools independently
4 semester units credit
You are encouraged to discuss practice problems and homework with your fellow students and with course staff. All the zoom links can be found on the Piazza site for the course (more information below). I took Stats 2 as a poli sci major. Papers will be graded on a 0/1 scale. there are video lectures for you to watch for each part. The course also involves contributing to open-source libraries. Are there some courses that are harder to get into than others? The weight of each assignment will be announced with the assignment. There will also be three quizzes during the term, in section, on dates listed in the calendar below. Office hours: Tues/Thurs 2:10-3:30pm on Zoom Yeah, it's not easy, but nothing at Cal really is.
In Fall of 2020, Stat 2 is being offered as a remote course delivered online via bCourses you download the slides without annotations and use them to follow along and add An affordable paperback copy may also be purchased through this link. So, if your new major requires stat 20, you won't have to retake a stats class. the bCourses site, organized by module and parts within each module. From a purely practical perspective, all students must work independently on Stat 88 quizzes and exams no collaboration allowed.
The current campus plan is for remote instruction until January 28. There will not be a midterm or final exam, but there will be a videorecorded You signed in with another tab or window. Your two lowest homework scores will be dropped from the computation of the homework component of your final grade.
Note that there may be a delay in posting the lectures. the section below on Uploading assignments for more details. Homework 7: Permute - contributing to an open source project, 8. If you need accommodations, please work with the Disabled Students Program so that We will post important announcements on Piazza so please check it regularly. 80-90% B-/B/B+ range device will also need the Zoom app, some kind of microphone and, preferably, a
Print out the pdf we provide and write your answers directly on it. I strongly encourage you to familiarize yourself with the definition of plagiarism, and to avoid engaging in Become Premium to read the whole document. I recommend Stat 20 for the following reason: If you decide to change your major later, and the new one requires statistics, you're probably safer off taking stat 20 / 21, simply because it'll count towards both stat 2 and stat 20 credit.
She began working there in the fall semester of 2009, teaching Stat 155, and has taught a variety of undergraduate courses, including Stat 2, Stat 20, Stat 21, Stat 131A, Stat 134, Stat 151A, Stat 152, and Stat 155. Barak Kandell is a veteran instructor of Probability Theory who has won teaching awards from both Tel Aviv University and the Academic College of Tel Aviv-Jaffa. To try to keep grading consistent across semesters, I may occasionally curve an what you would get if you were taking this course in person with me. More information will be posted on Piazza. Syllabus for Statistics 2: Introduction to Statistics Spring 2022 - Shobhana Stoyanov. Totally recommend it to anyone who needs a little extra help outside of class! lecture videos for each part during our officially scheduled lecture time, which is Some documents on StuDocu are Premium. We will be looking for reasoning and detailed work shown it is assumed that you will show work or provide reasoning whether or not the question asks for it. Consistent class participation is crucial: we will be discussing subtle substantive, technical, and philosophical issues and reviewing code during class. I have a big exam coming up. Quizzes and All resources are created by our team of educators, each with over ten years of teaching experience, and are accessible anytime and from any device. (You should never write down anything you don't understand!) Be a top 10 Piazza answerer. I will do everything I can to remove incentives for you to feel like you need to cheat. it. Companion Notebooks. pdfborderstyle={/S/U/W 1}}. Elegant SciPy, Stefan van der Walt. He has consulted on topics including truth in advertising, election contests, equal protection under the law, intellectual property and patent litigation, jury selection, trade secret litigation, employment discrimination litigation, import restrictions, insurance litigation, natural resource legislation, environmental litigation, sampling in litigation, wage and hour class actions, product liability class actions, consumer class actions, the U.S. census, clinical trials, signal processing, geochemistry, IC mask quality control, behavioral targeting, water treatment, sampling the web, risk assessment, credit risk models, and oil exploration. syllabus. Solutions to the practice problems can be found here. lecture videos. We take Academic Misconduct very seriously. components associated with them, described below. A good attempt at 6 or more problems will receive the score of 1; anything else will get 0. Your two lowest homework scores and your lowest quiz score will be dropped. Join here. There will be no alternate due dates for assignments missed due to illness, other commitments, and so on. This is a Premium document. 
35% Final. with me that way. Give yourself plenty of time to turn in assignments by the due date and time, to internet. may prefer to do these either before or after watching the lecture videos. Later in the term, we will discuss installing Jupyter on your own device. Copyright 2021. policies and constitutes an agreement between us when you participate in this course. Effective Pandas, a book by Tom Augspurger, core Pandas developer. of the same file but with your answers filled in. Some of the section times will also be rescheduled to accommodate students in different time zones.
Probability and Statistics (Bayes Rule, Sampling Naive Bayes, Sampling), Gradients, Chain Rule, Automatic differentiation, Likelihood, Loss Functions, Logisitic Regression, Information Theory, Computation Performance, Multi-GPU and Multi-Machine Training, Recurrent neural networks, Making it work - language modeling, Truncated Backprop, Gated Recurrent Unit, Long Short Term Memory, Word2vec, FastText, GloVe, Sentiment Analysis, Encoder-Decoder, Seq2seq, Machine Translation. I will do my best to provide you with a learning experience that is similar to. In any case, the quizzes are each due by 11 PM, PST on the days the Co-requisite: Foundations of Data Science (COMPSCI / DATASCI / INFO / STAT
All code should have accompanying unit tests.
the data in published workreproducibly. Quizzes right after this. Secondly, we discuss sequence models and recurrent networks, such as LSTMs, GRU, and the attention mechanism.
I will post the first five chapters to bCourses, in case you need time to order a copy. pages (for example, using a mobile phone camera) and create a pdf from them. Final projects include a video presentation by team members. He is a pioneer of online teaching; his Statistics W21 was the first official online course offered by UC Berkeley. This is a Premium Document. University of California, Berkeley, Fall 2020, Instructor: Dr. Cari Kaufman Because this is a remote, online course, you will need a computer with access to the hours after the due date and time, you will receive partial credit corresponding to 60% book uses the grading scheme above, so you can always check your current course However, you must write up all your assignments on your own. You must take your quiz in the section in which you are enrolled. We will provide you with a pdf copy of each assignment. If you dont own a printer but want to use this method, I would suggest using a local Probability
applied statistics, including reproducing published work and critically re-analyzing
Parts also have other
Any assignment or exam submitted by you is presumed to be your own original work. Also, do you think it would be possible to do it and a CS technical over the summer? You can post your comments and Huh, I had never even considered this. For term projects, the deliverable will include a repository that includes code, data, parts. A part is equivalent to a traditional lecture, but since this is an online course, (All dates and times are Pacific Time, so if you are not in Berkeley, it is your responsibility to convert them to your time and complete the submissions by their deadlines.). Create a directory for each assignment labeled with the assignment number, e.g., Assignment1 for Communication: class Slack channel https://join.slack.com/t/stat-a7u3014/shared_invite/zt-kl7fket1-q8IKC9aTs01cbB5GBEA7PA, Lectures will be recorded and posted in Google drive, but attendance is mandatory. Markdown, pandoc), Willingness to learn some statistical methodology by reading on ones own (materials and links It addresses replicability, reproducibility, statistical models, statistical malpractice (\(P\)-hacking, selective inference, inappropriate models and tests), and elements of the Prior to working at Berkeley, Shobhana was an adjunct Philip B. Stark is a professor in the Department of Statistics at UC Berkeley. Get unlimited access to all our content, workbooks and professors. Course grades will be assigned using the following weights: Historically this class has a typical statistics course curve with 30% of the class getting some kind of A and 30% of the class getting some kind of B and 30% some kind of C. See here for the grade distributions in the past semesters. Being an online class academic honesty is of particular concern. Then photograph the will happen very rarely, probably not at all. grade remotely. Every student is expected to maintain this high standard by ensuring that all You may drop your lowest quiz score from the computation of the quiz component of your final grade. Final projects are due on the first day of final exams, 10 May 2021. The top five student answerers (i.e. If you have test (or other) accommodations, please make sure that I have received an email about it from your DSP advisor.
20% Labs (lowest 5 of 20 dropped; review labs dont count toward grade) 10% Homework, 15% Quizzes, 20% Midterm 1, 5% take home Midterm 2, 5% Mini-project, 45% Final, 10% Homework, 15% Quizzes, 5% take home Midterm 2, 5% Mini-Project, 65% Final. In some cases, Jupyter notebooks will be the appropriate thing to submit; Code and analyses should be in python. Philip B. Stark is a professor in the Department of Statistics at UC Berkeley. See Accordingly, for the first two weeks, lecture and sections will be via Zoom. If you have such accommodations, please provide the formal notification to your GSI before the end of the second week of classes. To participate synchronously in labs and office hours, your computer or mobile E-mail: cgk@stat.berkeley Homework 3: Coding style, docstrings, algorithmic choices, and unit tests, 4.
Each part will have lecture videos for you to watch. All assignments must use proper attribution, meaning that you have identified the original
All aspects of the course are subject to change, because of the changing scenarios this semester. Lesson 13 Paleoseismology Case Studies; Induced Seismicity, BMGT 364 Planning the SWOT Analysis of Silver Airways, Unit 3 - Milestone 3 - Conflict Resolution - Sophia, ATI Mental Health Proctored 2019, Ati mental health proctored 2019 and practice test, OB Concept Map nurs316l concept map complete, BUS 2207 Graded Quiz Unit 6 Attempt review, 4-1 Assignment - Making Data-Driven Decisions, Navigatingthe Learning Environment Template-Online Gen Ed, Graduate Assistantship Application 2015 -1, Chapter 5 Practicum - Consumer Behavior Stages, Brunner and Suddarth's Textbook of Medical-Surgical Nursing, Frauenberufe im Fernsehen - Frauen in Fernsehberufen, Microeconomic Theory: Basic Principles and Extension. If a test is the first time a student works independently, then the test is not likely to go well. The bCourses grade
Stats review and intro to Git, 3. The datahub.berkeley.edu server will have all the packages you need pre-installed. Homework 8. philosophy of science and the foundations of statistics. There will be a convenient time for international students. I actually was able to fit all of my notes for the whole class on these 4 sheets). I'm very sorry if this isn't an appropriate post, and I'm sure you guys are sick of new-admit questions, but I really would appreciate any input! theory or assumptions. harder than I intended, and no ones scores will decrease as a result of the curve. Synchronous participation in these course components is recommended but Notebooks to accompany the book. The COVID-19 pandemic introduces quite a bit of uncertainty into timelines; this document reflects our intentions but it is not a contract we can promise to follow. The courses she taught there were upper and lower division introductory probability and statistics. The course is not graded on a curve. Midterm 1: Wednesday March 2, class time. that should remain private, please send email to to group projects. Credit: 6 quarter units /
Then well move on to probability and inference. I do not curve the overall course grades.
will be provided, but not all topics required to do the homework will be covered in lecture), 3 hours of lecture and 2 hours of lab per week, lectures will focus on theory, philosophy of science, foundations of statistics, scientific applications, software engineering, and code reviews, lab will focus on computing, software tools, workflow, and collaboration, approximately 10 assignments, some individual and some collaborative, Labs: Wednesday 2-4PM & 5-7PM (Zoom link), Office hours: Thursday 2-3 PM (Zoom link). 1A. There will be roughly ten projects, some individual and some collaborative in groups of 4-5. Python; Jupyter Notebooks; the Python scientific stack of The lectures will be recorded and posted for students who are unable to join the synchronous lecture. the first assignment. ", "Proprep is a must-have study tool. instructor gives you permission or instruction to do so.
Well start with descriptive statistics that allow us to summarize important Easy, but kinda boring. login credentials. "I love Proprep!
to multiple GPUs and to multiple machines.
This is also worth one percent EC. Statistical or graphing calculators are not necessary.
Emails, zoom link and office hours of the GSIs available on the Staff page. for Stat 20, that you should have no problem getting help. not required. The goal of the course is to provide both a good understanding and good ability to build modern nonparametric estimators. to your private repository within the Berkeley GitHub organization for the class, You Themes that pervade the course include evidence, uncertainty, risk, models, and public policy. Ha, I haven't been to CalSO yet, I'm just trying to build my gameplan for what I want to Phase I while I'm there. EDIT: Also, Stat 20 and 21 are the EXACT same class. learn from our data despite the presence of that random variability.
As a matter of course policy, I do not round up when calculating letter Lab Report #11 - I earned an A in this lab class. Are there some that are harder to pass than others? We will use Jupyter notebooks. They are due by 9:59 pm on the day due (noted below) on Gradescope. Please familiarize yourself with UCBs Academic Honesty Policy (see the Center for Student Conduct website: http://sa.berkeley.edu/conduct). ). Physics 1 Mechanics Waves and Thermodynamics, Introduction to Financial Accounting and Reporting, Learn Parametric CAD and CAM Design with Fusion 360.
I'll definitely check it out, thanks for the heads-up! source and extent or words or ideas that you reproduce or use in your assignment. Upgrade to Premium to unlock it. expectations for completing an assignment or taking an exam, be sure to seek
The courses are explained very well, so you know youre in good hands! Prior to working at Berkeley, Shobhana was an adjunct Professor in the Department of Mathematics at Saint Mary's College of California, where she had re-entered academia as a lecturer in 2007, after a taking a few years off. They really don't offer either Stat 101 or 102 anymorenow, they offer 134 and 135. MWF 10:00am - 11:00am, 2050 Valley Life Sciences or on Zoom 922 2190 6746, MWF 11:00am after class in the Student Learning Center Atrium.
https://github.berkeley.edu/stat-159-s21. subject to disciplinary action, at minimum a failing grade on the assignment or exam in If you're really weak in stats take stats 2. Since your first priority is to get a good grade, I would recommend holding off on taking a stats class until the summer after your freshman year and taking Stat W21. academic work reflects unique ideas or properly attributes the ideas to the original sources. will also be posted, both with and without my annotations from the videos. For personal matters (illness, accommodations, etc.) We brought real Experts onto our platform to help you even better! Please do get in touch with us ASAP if you have a circumstance that His research centers on inference (inverse) problems, especially confidence procedures tailored for specific goals. Good way to fulfill the stats requirement. Stat 21 is a weeder class and can be difficult because of its competitiveness. Violations of the UCBs Academic Honesty Policy, including instances of plagiarism, will be reported to the University and an appropriate penalty will be implemented.
what you would get if you were taking this course in person with me. or if you need special arrangements if the building needs to be evacuated, please inform the On weekends, we might need longer. this time actively responding to these. Shobhana Murali Stoyanov is a Continuing Lecturer in the Department of Statistics at the University of California, Berkeley. Students with DSP accommodationsmust contact Prof. Lucas to make arrangements as necessary. Q2: Wednesday, February 16
there is no value to you in copying someone elses work. All feedback is welcome. If you have any comments or suggestions, please feel free to send an email to me or your GSI.
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