Q. Who are the course instructors?
A. The course will be taught by Josh Hug and TBA.
Q. My question isn’t answered in this FAQ, what can I do?
A. Preferably, phrase your question in a way that isn’t personally identifiable and file it as a new issue in this repository. We will then add a response to the FAQ, thus benefiting you and all other students with similar concerns.
If it’s really something completely specific to your personal situation that can’t be addressed in a public forum, contact the instructors by email.
Q. What are the official prerequisites for this course?
A. The official list of prerequisites are:
CS61A or CS88 or Engineering 7. We strongly recommend either CS61A or CS88.
EE16A or Math54 or Stat89A. This may be satisfied concurrently with DS100, but we strongly recommend that you finish a linear algebra course before taking DS100.
Q. Will the official prerequisites be enforced?
A. The official prerequisites will not be enforced in terms of enrollment. However, we expect knowledge from the official prerequisites for the course itself. We might be sending out a form near the beginning of the semester regarding the expected knowledge from the prerequisites (TBA).
Q. Will attendance be required?
A. Attendance will not be required, but we might have some method of incentivizing attendance (TBA).
Q. On the course enrollment, I noticed that students are unable to enroll in a lab/discussions section. For the enrollment process, will students mark the “TBA” option in order to enroll and once they are accepted into the course will they get to choose a lab/discussion section?
A. All students will enroll in a single lab/discussion section (the ‘generic’ 999 section), and at the beginning of the semester we will assign students to sections using some method (TBA).
Q. Which course should I enroll in?
A. For Fall 2019, undergraduate enrollment will be handled by the Department of Statistics under STAT C100.
Q. What is the status of the L&S Data Science Major and/or Minor?
A. You can use the official Data001 Piazza site to ask questions about the data science major and/or minor.
Q. I know that each student’s experience in the class may vary, but what do students find to be the most challenging aspect of the course?
A. This varies a lot: for some it’s the programming, for others the mathematics, for others the statistical reasoning.
Q. How difficult has it been for students to enroll into CS/Stat 100 in past semesters?
A. We’ve been growing the course capacity to accommodate the demand. In Spring 2019, most, if not all who wanted to enroll were eventually able to do so (if not right at the start).
Q. What will be the policy for final conflicts in this class; will there be an alternate final?
A. We will have an alternate final (time TBA).
Q. Will there be webcasts/lecture videos?
A. Yes, all lectures will be captured on video and posted promptly on bCourses/CalCentral. Videos from previous years are also still available on the archived website for each year. These can provide useful complementary perspectives on a given topic, sometimes covered by a different lecturer.
Note that to view those videos, you must be logged in with your Berkeley credentials into YouTube; otherwise, you’ll get an error message about the video not being available.