CS 3000 — Algorithms and Data

4 semester hoursUndergraduateLectureNUpath FQusually offered: fall, spring, summertypical days: T/FBostonOakland, CAOnlineOnlineTraditional

Introduces the basic principles and techniques for the design, analysis, and implementation of efficient algorithms and data representations. Discusses asymptotic analysis and formal methods for establishing the correctness of algorithms. Considers divide-and-conquer algorithms, graph traversal algorithms, and optimization techniques. Introduces information theory and covers the fundamental structures for representing data. Examines flat and hierarchical representations, dynamic data representations, and data compression. Concludes with a discussion of the relationship of the topics in this course to complexity theory and the notion of the hardness of problems.

Prerequisites

Corequisites (same term)

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Summer B 20231333692%3.0
Fall 2023342545094%8.3
Spring 2024325929688%12.3
Summer A 2024221825386%17.5
Summer B 2024111913290%13.0
Fall 2024543650586%13.8
Spring 2025325132877%25.7
Summer A 2025112515083%25.0
Fall 2025549353692%8.6
Spring 2026327328695%4.3

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 13% · T 75% · W 13% · Th 9% · F 69%

Common patterns: TF (65% of sections), async (12% of sections), MTWR (9% of sections), W (5% of sections), M (4% of sections), F (4% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Summer B

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

CIVE 4767, CIVE 4768, CS 4400, CS 4545, CS 4810, CS 4820, CS 4830, CS 4973, CY 4770, CY 4775, CY 4973, DS 4973, EECE 4520, EECE 4790, EECE 4791, EECE 5360, EECE 5550, EECE 5643, EECE 5645, EECE 7376, MUST 4600

Courses that list CS 3000 in their prerequisites.

Links

Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app