CS 277

Spring 2025 All Classes

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Algorithms and Data Structures for Data Science

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Credit: 4 hours.

Introduction to elementary concepts in algorithms and classical data structures with a focus on their applications in Data Science. Topics include algorithm analysis (ex: Big-O notation), elementary data structures (ex: lists, stacks, queues, trees, and graphs), basics of discrete algorithm design principles (ex: greedy, divide and conquer, dynamic programming), and discussion of discrete and continuous optimization.

Credit is not given for CS 277 if credit for CS 225 is earned. Prerequisite: STAT 207; one of MATH 220, MATH 221, MATH 234. CS 277 cannot be taken concurrently with CS 225.

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CS 277 class schedule data for spring 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	74116	Discussion/ Recitation Lecture	AL1 AL1	2:00PM -3:15PM 2:00PM -3:15PM	F MW	1320 Digital Computer Laboratory 1320 Digital Computer Laboratory	Solomon, B Solomon, B	Part of Term: 1 Date Range: 01/21/25-05/07/25 Section Info: At the start of registration this course is open only to those within on of the DS majors. Nov 15th all majors, except those in a CS program will be able to register. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign. Restricted to Business Undeclared or Business + Data Science or Information Sciences + DS or Astronomy + Data Science or Accountancy + Data Science or Finance + Data Science major(s). Not intended for CS and blended CS majors students.
	74357	Discussion/ Recitation Lecture	AL2 AL2	2:00PM -3:15PM 2:00PM -3:15PM	F MW	1320 Digital Computer Laboratory 1320 Digital Computer Laboratory	Solomon, B Solomon, B	Part of Term: 1 Date Range: 01/21/25-05/07/25 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 major(s). Not intended for CS and blended CS majors students.