NOTICE: The course is now CLOSED.

As of Aug. 28, 2024, the course is closed and no further enrollment is possible. Please do not request an exception - many students are asking for exceptional treatment and the course is already over capacity, unfortunately, we can not accommodate further requests.

If you have a special issue that requires additional assistance, do not contact the class instructors, as we have no further authority on this matter. Instead email ds-advising@berkeley.edu.

If you are a Concurrent Enrollment student, you can find more information here.

Frequently Asked Questions for Fall 2024 Data 100

NOTICE: The course is now CLOSED.

Where is the course website?

Here!

I need an enrollment code/enrollment is too limited/I’m on the waitlist/etc.

The instructors are not able to provide permission codes or any new information about enrollment in Data 100 at this time. Please refer to the Data Science Fall 2024 Courses page and to the Data 001 Ed, which include all information currently available about enrolling in Fall 2024 classes. If you are not able to find an answer to your question there, please email ds-advising@berkeley.edu.

What are the official prerequisites for this course?

The official list of prerequisites is:

Data 8.
CS 61A or CS88 or Engineering 7. We strongly recommend either CS 61A or CS 88.
Math 54, EECS 16A, Math 56, Math 110, or Stat 89A. This may be satisfied concurrently with Data 100, but we strongly recommend that you finish a linear algebra course before taking Data 100.

As with other enrollment matters, the instructors have no say on this matter, if you have any questions regarding prerequisites, please email ds-advising@berkeley.edu.

Will the official prerequisites be enforced?

The official prerequisites are being strictly enforced by CDSS. Decisions on any requests for exceptions to this policy are being made by the CDSS advisors. To request an exception see the Data Science Fall 2024 Courses page. Do NOT email instructors about this; we do not make these decisions.

I am a graduate student but the system won’t let me enroll in Data 100 due to missing prerequisites, what can I do?

Graduate students should use the C200 class code, not C100: C200 has a proper graduate code so you don’t have undergraduate prerequisite issues. There will be some differences in grading and homework, but the main content is the same.

I am waitlisted, what should I do? What are my chances of getting into this class?

The course is closed as of August 28, 2024; there will be no further enrollment.

I have a Concurrent Enrollment Request that hasn’t been approved yet, what should I do? What are my chances of getting into this class?

Since the course is at full capacity as of August 28th, there will be no further enrollment. However, you can see above for how to get added to any other required resources.

I am a campus student and would like to audit the course, what can I do?

Most class materials are available online to all campus students, and you can access the lecture videos, slides, etc. without limit, as well as use the online Data 100 DataHub (our JupyterHub instance for this class).

Note however that the class EdStem, our only other class resource, is reserved for enrolled students and faculty auditors, as homework details and solutions are discussed in that environment. Furthermore, we do not add auditors to bCourses, Gradescope, etc. as our limited instructional resources are reserved for officially enrolled students.

I have another enrollment issue (this course is critical for graduation, etc.) - can the instructors assist me, make an exception for my case, or provide me with an “enrollment code”?

No. There are no exceptions from the instructor’s perspective to the enrollment and time conflict policies stated in this FAQ. If you need assistance with enrollment or think your circumstances warrant exceptional consideration, you must discuss those with an enrollment advisor. They are the only ones authorized to handle such situations and enroll you. See the first question above for more links about enrollment resources.

What aspects of the course will be offered online?

We will offer:

Recordings of all lectures, available for online viewing shortly after the lecture is delivered. Note these will not be live hybrid lectures where remote students could participate, only static recordings, available post-lecture.
Discussions will be mostly in-person, but we will offer a small number of online discussion sections.
There will be no direct lab sessions: labs will be due on Tuesdays and a video walk-through of the lab content will be released after the lab is due for you to watch on your own. There will be online help available for labs through office hours and dedicated Ed channels.

What is the proctoring/accommodation policy for exams?

Exams will be in-person and subject to standard proctoring procedures, with appropriate accommodations for DSP students.

I require specific accommodations, what should I do?

All accommodations in this course are handled uniformly through the DSP Office. If you have a letter of accommodation from the DSP office, we have already received it and we will honor all accommodations listed in your letter. Please see the syllabus for more details on this topic.

What is the alternate exam policy?

There will be no alternate final exam time beyond the standard time assigned by scheduling.

What is the midterm schedule for this class?

The exact midterm exam dates will be announced on the first day of class.

What is the conflict policy for the course?

The basic policy is the following:

ENROLLMENT TIME CONFLICTS: This class will NOT allow time conflicts.
FINAL EXAM CONFLICTS: This class will NOT accommodate final exam conflicts.

I have a conflict for the final exam, what can I do?

As per the Campus Registrar, the final exam will be held Thursday, December, 8 am - 11 am. The exam will be held in person, not online.

The course does not allow for time conflicts. Additionally, no accommodations will be made for travel.

When will the full schedule of labs and discussions be announced?

Discussion sections and sign-ups will be released within the first two days of class. Discussions will be on Tuesdays and Wednesdays from 9 am-4 pm. There will be no direct lab sessions. See our course policies for more information about labs.

Where can I find links to the class schedule, optional textbook, and other additional relevant resources?

The course website for Fall 2024 is linked here.

I can’t find any information on bCourses, why?

We will only be using bCourses for synchronizing access to Gradescope. As long as you are enrolled in the class right now, you don’t need anything. All class materials are available online through the website; communications happen on EdStem; and computational work is done on the DataHub.

I have added the course later in the semester. Can I catch up? Can I be excused for all late work?

The answer to the first question is impossible to give in general, as it depends both on how late you add the course, and what your own background is. But as a general rule, the course moves quite quickly and covers new ground from the start. We estimate most students will probably struggle to catch up effectively if they join any later than the first few days of the semester unless they have a particularly strong background already in the initial topics (probability, SQL, Python, and Pandas).

As for the second part of this question (Can I be excused for all late work?), we will not be accommodating extensions beyond our extension policy below (see next question for details).

If you are currently waitlisted/on the fence for adding this course, please see the Enrollment section above.

I didn’t turn in a Lab/HW/etc in time because I had X (illness, etc.). Can I have an extension?

Please contact course staff through the extenuating circumstances form on the course website.

I would like to make a class-wide announcement about my project/group/initiative/etc.

We only allow posts made on EdStem and you must make it yourself, we do not make posts on your behalf. These are our guidelines for EdStem posts from student groups - they must be text-only posts (no videos) where the announcement:

Has to do with teaching or tutoring in a non-commercial setting, or
is directly related to the material in the course, or
is seeking to recruit students to help with the public good in a non-financial way (no solicitations for donations!), and in a context explicitly connected to their work in the course.

I would like to apply for a (u)GSI position for this course. What should I do?

All applications for Academic Student Employee positions are managed centrally; you can find all the details here. Please do not email the instructors individually with your resume/etc, as they are not in a position to hire you.

Who do I contact if I have further questions? How do I email the instruction team?

Please e-mail data100.instructors@berkeley.edu and one of the instructors will get back to you. Note that to ensure more timely responses, this address is monitored by the team of the two lead instructors (Narges Norouzi and Joey Gonzalez), the Head TAs, and multiple lead GSIs. You can contact Narges and Joey directly for matters that require strict privacy and their direct attention.

We’re excited to have you in the class this Fall!

Narges, Joey, and the rest of your Fall 2024 instructional team.

Data 100