CS 5130 — Applied Programming and Data Processing for AI

4 semester hoursGraduateLectureusually offered: fall, springtypical days: WBostonOnlinePortland, MaineSeattle, WAOnlineTraditional

Presents an in-depth exploration of programming paradigms, mathematical foundations, and computational techniques essential for scientific computing and data-driven applications. Integrates linear algebra, Python programming principles, algorithmic design, and data science methodologies to offer students an opportunity to develop the technical expertise necessary for handling complex numerical computations and large-scale data processing. Strongly emphasizes Pythonic programming, object-oriented and functional programming, data preprocessing, visualization, and numerical stability, with the aim of developing the skills needed to write clean, efficient, and maintainable code for scientific and engineering applications.

Corequisites (same term)

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 202536813750%23.0
Spring 202628411076%13.0

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 3% · T 5% · W 50% · Th 10% · F 0%

Common patterns: W (50% of sections), async (32% of sections), R (10% of sections), T (5% of sections), M (3% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

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

Unlocks

BINF 6400, BINF 6420, BINF 6430, CS 6170, HLTH 5810

Courses that list CS 5130 in their prerequisites.

Links

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