CS 307

Fall 2026 All Classes

All Classes

Modeling and Learning in Data Science

Credit: 4 hours.

Introduction to the use of classical approaches in data modeling and machine learning in the context of solving data-centric problems. A broad coverage of fundamental models is presented, including linear models, unsupervised learning, supervised learning, and deep learning. A significant emphasis is placed on the application of the models in Python and the interpretability of the results.

Prerequisite: STAT 207; one of MATH 225, MATH 227, MATH 257, MATH 415, MATH 416, ASRM 406.

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CS 307 class schedule data for fall 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
77586	Discussion/ Recitation Lecture	M1 M1	9:30AM -10:45AM 2:00PM -3:15PM	F TR	1320 Digital Computer Laboratory 3039 Campus Instructional Facility	Robles Granda, P Robles Granda, P	Availability: Closed Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: This class uses cohort restrictions. It is open initially to 4th year students and will open to third year (FA24-start) students during business hours on Wednesday, April 15, 2026. It will open to second-year (FA25-start) students during business hours on Monday, April 20. Please view the following link for restrictions and release dates: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign. Restricted to Information Sciences + DS or Astronomy + Data Science or Finance + Data Science or Accountancy + Data Science or Business + Data Science or Chemical Engr + Data Science or Molecular & Cellular Bio + DS or NPRE + Data Science major(s). Not intended for First Time Freshman students.
77587	Discussion/ Recitation Lecture	M2 M2	9:30AM -10:45AM 2:00PM -3:15PM	F TR	1320 Digital Computer Laboratory 3039 Campus Instructional Facility	Robles Granda, P Robles Granda, P	Availability: Closed Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: This class uses cohort restrictions. It is open initially to 4th year students and will open to third year (FA24-start) students during business hours on Wednesday, April 15, 2026. It will open to second-year (FA25-start) students during business hours on Monday, April 20. Please view the following link for restrictions and release dates: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign. Not intended for Information Sciences + DS or Astronomy + Data Science or Finance + Data Science or Accountancy + Data Science or Business + Data Science or Chemical Engr + Data Science or Molecular & Cellular Bio + DS or NPRE + Data Science major(s). Not intended for First Time Freshman students.
80859	Discussion/ Recitation Lecture	M3 M3	9:30AM -10:45AM 2:00PM -3:15PM	F TR	1310 Digital Computer Laboratory 3039 Campus Instructional Facility	Robles Granda, P Robles Granda, P	Availability: Closed Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: This section is restricted to students in DS+X majors initially, and open initially to students who were freshmen in Fall 2022 or earlier. Fall 2023-start students will get a later opportunity to register. DS minors may be given access later if seats are available. Restriction(s): Restricted to Undergrad - Urbana-Champaign. Restricted to Information Sciences + DS or Astronomy + Data Science or Finance + Data Science or Accountancy + Data Science or Business + Data Science or Chemical Engr + Data Science or Molecular & Cellular Bio + DS or NPRE + Data Science major(s). Not intended for First Time Freshman students.
80885	Discussion/ Recitation Lecture	M4 M4	9:30AM -10:45AM 2:00PM -3:15PM	F TR	1310 Digital Computer Laboratory 3039 Campus Instructional Facility	Robles Granda, P Robles Granda, P	Availability: Closed Part of Term: 1 Date Range: 08/24/26-12/09/26 Restriction(s): Restricted to Undergrad - Urbana-Champaign. Not intended for Information Sciences + DS or Astronomy + Data Science or Finance + Data Science or Accountancy + Data Science or Business + Data Science or Chemical Engr + Data Science or Molecular & Cellular Bio + DS or NPRE + Data Science major(s). Not intended for First Time Freshman students.