INFO 6540

Data Management

Lec 01 selected

Introduces the theory and practice of managing data, covering technology-driven solutions to the challenges of storing, curating, and retrieving unstructured, semi-structured, and structured data. Topics include tabular data, assessing data management requirements, data models and schemas, relational database management systems, SQL, post-relational DBMSs, Big Data, and visualization.

Sections

Lecture

From the syllabus

From the Winter 2025 syllabus by Philippe Mongeon. Open the PDF

Grading

10%Group project part 1Mission statement and objectives; due Week 2
25%Group project part 2Database design; due Week 4
15%Group project part 3SQL and database views; due Week 6
30%Individual labDue two weeks after the last class
20%ParticipationTeam assessment; Week 6

Course rules

Attendance
Class attendance is not monitored or assessed, but team-meeting attendance and punctuality count toward peer assessment.
Late work
Late assignments incur a 5% penalty per day, including weekends; work is normally not accepted seven or more days late.
Late-work exceptions
Late penalties may be waived with prior instructor permission, normally for extended illness or medical or family emergencies.
Student absence
Students may submit up to two Student Declaration of Absence forms per course per term for short-term absences.

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