DAMG 7245 — Big-Data Systems and Intelligence Analytics

4 semester hoursGraduateLectureusually offered: fall, springtypical days: FArlington, VABostonOakland, CAOnlineSeattle, WASilicon Valley, CAOnlineTraditional

Offers students an opportunity to learn a hands-on approach to understanding how large-scale data sets are processed and how data science algorithms are adopted in the industry through case studies and labs. This project-based course builds on INFO 7390 and focuses on enabling students with tools and frameworks primarily to build end-to-end applications. The course is divided into three parts: building the data pipeline for data science, implementing data science algorithms, and scaling and deploying data science algorithms.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20231253083%5.0
Spring 20242386063%11.0
Fall 202455612744%14.2
Spring 202566117036%18.2
Fall 20252296048%15.5
Spring 20262246040%18.0

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 2% · W 0% · Th 4% · F 55%

Common patterns: F (55% of sections), S (36% of sections), R (4% of sections), M (3% of sections), T (2% 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.

Links

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