You must enroll in the lecture, one discussion section, and one lab. See the Academic Guide for details. You can attend only the discussion section and lab in which you are enrolled.
Students interested in Fall 2018 enrollment, please see the About page for Fall prerequisites.
In Spring 2018 we will accept the following alternatives to Data 8, consistent with the Data 8 “grandfathering” alternatives proposed during the transition towards a new Data Science major. - DS 100 (Stat/CS C100), or - Stat 133 and CS 61A, or - Stat 20 (or 21) and CS 61A
Enrollment is restricted to undergraduates, and all of the prerequisites will be enforced. If you have taken more advanced courses but not the ones above, please take a more advanced probability course or study Prob 140 materials independently on the course website.
Participate in lectures and discussion sections. We try to give useful lectures and select useful exercises for the discussion sections. Discussion section content is designed to provide practice relevant to homework, lab, and exams. Don’t miss out.
Each lecture contains a lot of detailed material. It’s not reasonable to expect that you will simply remember it all when you start doing your homework. The assignments are created under the assumption that you will have read the text (yes, really) and done many of the practice problems before you attempt the assignments. This is standard in upper division math and stat classes.
You will be able to follow the text much faster if you have attended lecture. You will be able to do your homework much faster and more independently if you have done the preparatory work beforehand.
To help you select what to read and practice, there will be detailed weekly study guides.
The material in Prob 140 builds on itself week after week. Work regularly so that you don’t fall behind; don’t expect to do well by cramming right before tests. If there is something you don’t understand, make use of staff office hours. We’ll be there to help.
Students have found these methods to be useful. For their advice, see the About page.
Data science is not a solitary activity; please expect to participate in lectures, discussion section, and lab. Lectures will not be webcast. The online text will contain what is covered, but it might have different examples. And of course it will not contain the discussions generated by questions asked in class.
In the calculation of your overall score, we will drop
Course grades will be assigned using the following weighted components:
You are encouraged to discuss practice problems, homework, and labs with your fellow students and with course staff. Arguing with friends about exercises is an excellent and time-honored way to learn. However, you must write up your all own assignments and code.
Copying assignments from one another is not only dishonest, it also doesn’t help anyone. Each exercise requires its own combination of ideas, and each student needs practice in coming up with those combinations, or else they will be at a loss when trying to use probability theory in their future work. From a purely practical perspective, all students must work independently on Prob 140 quizzes and exams – no collaboration allowed. If a test is the first time a student works independently, then the test is not likely to go well.
Prob 140 materials including exams and solutions are the intellectual property of the course developers. From the campus statement on Academic Integrity: “… students may not circulate or post materials (handouts, exams, syllabi,–any class materials) from their classes without the written permission of the instructor.”
I am extremely tough with dishonest students and I hope that I will not be put in that situation in Prob 140. I expect that you will work with integrity and with respect for other members of the class, just as the course staff will work with integrity and with respect for you.