Spring 2027 classes offered in Data Science as of Tuesday, 09/22/2026 at 07:00 AM
schedSpringDATA report generated: 22-SEP-26


Class


Sect


CN#


Units


Notes*


Fee


Dates


Days


Time


Room


Instructor


Cap


Enr


Rsrvd*


Avail*

Wait
Cap*

Wait
Tot*


Sust*
Perm
Text
Status

Bookstore
Text Info
DATA 271 Data Wrangling & Visualization10225934


MWF14:00-14:50
Chang,EK270
27990

Texts
        Activity1122594



T11:00-12:50
Chang,EK270
27990

Texts
DATA 322 Machine Learning10226584


MWF13:00-13:50
Overholser,RH270
27990

Texts
        Activity1122659



T13:00-14:50
Overholser,RH270
27990

Texts



* Notes: IA=Instructor approval required, DA=Department approval required
* Rsrvd: indicates the number of seats reserved during registration for various reasons (i.e., freshmen registration in the Fall, PBLCs, or major restrictions). Unused seats are released prior to the beginning of the semester.
* Avail: indicates the total number of seats open to all students. This number may be reduced by enrollments in other cross-listed class sections.
* Wait Cap: indicates the number of waitlist seats available for the class
* Wait Tot: indicates the number of students currently waitlisted for the class (allows departments to determine class demand and may result in opening of class additional sections)
* Sust: classes designated as Sustainability Focused (SF) or Sustainability Related (SR)
* Permanent Text Status: If the particular course is indicated as NONE, there are no required texts. If indicated as FREE, text materials are offered free to students.
* Bookstore Text Info: Link to Bookstore text details for all courses that potentially have required texts.

Generally, students must register in one section from each component type shown for a particular class. For example, BIOL 104 has two lecture sections and several lab sections. Students who register for one of the lecture sections must also register for one of the labs associated with that lecture. Association numbers and section numbers are shown in parenthesis when multiple values exist.