C&S BIO 100
Data Science and Statistics for Life Scientists
Lecture and discussion.
Spring 2027: 1 lecture and 2 discussions. Nothing here is open. The oldest of these readings was 42 hours ago.
Grades
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
What comes first
The chain dibs can see is 3 courses long before C&S BIO 100. Read from Fall 2026, because dibs has not read a class page for C&S BIO 100 in Spring 2027 and a department can change what it requires. This is a floor, not a deadline: dibs has not read a class page for LIFESCI 30B, LIFESCI 40, MATH 3B, and MATH 3C, so the real chain can only be longer than this, never shorter.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, two hours; laboratory, two hours. Requisites: Computer Science 31 or Program in Computing 10A; Life Sciences 30A and 30B, or Mathematics 3A, 3B, and 3C, or 31A, 31B, and 32A; Life Sciences 40 or Psychology 100A or Statistics 10 or 13. Modern statistics and data science study that builds competency in computational data modeling and analysis. Designed for Computational and Systems Biology majors. Interdisciplinary topics integrate data-driven statistical and computational modeling, and resampling methods for understanding and modeling data. Key topics include advanced data visualization, simple linear regression, clustering, classification, and dimensionality reduction techniques, the same principles and techniques that are the building blocks of machine learning. Study is modular, with opportunities for peer collaboration and proposal writing components. Acquired knowledge and skills may immediately be applied in research or industry settings. P/NP or letter grading.
Sections in Spring 2027
You enroll in the discussion, not the lecture, so a discussion's status is the one that decides whether you get in. A lecture can read open while every discussion under it is full.
Seat counts as of : the oldest of these 3 readings. Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Lec 1 Time TBANot published yet
Not yet assigned
no grade historyno enrollment count published no history
not checked yet2 discussions. The registrar has not published seat counts for them yet.
Seats over time in Spring 2027
Read once so far, so there is no line to draw yet.
What turns this into a chart
A second reading is what turns this into a chart: courses come round within about three hours, and a lecture somebody is watching goes to the front of the pass. Watching is on the lecture's own page, not this one.
How readings and alerts work
A reading and an hourly record are different things, and most charts here hold more of the second missing than present. dibs has taken readings of a section since long before it began keeping an hour-by-hour log of when it looked, so the empty stretches are dibs saying it was not keeping that log yet, not that it looked and found nothing. That is the age of the record and not a fault.
Seat counts show the last successful read, not live availability. Refreshes can be delayed by request limits or upstream interruptions. Watched sections receive priority, but an hourly update for every section is not guaranteed.
The registrar can change a seat count between our checks. Alerts depend on dibs detecting an opening and completing delivery; a quiet watch does not prove that no seat opened. Check the registrar before enrolling.
From the people who took it
Student reviews
What taking C&S BIO 100 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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