INSH 7500 — Advanced Quantitative Analysis

4 semester hoursGraduateLectureusually offered: springtypical days: WBostonTraditional

Designed to build upon the foundations provided by INSH 6404, INSH 6500, or an equivalent introductory statistics course with the goal of students becoming proficient with selected quantitative multivariate analysis techniques. Covers the ordinary least squares (OLS) regression model and the assumptions underlying it in detail, as well as the techniques for analyzing data when OLS assumptions do not apply, such as simultaneous equation models, time-series models, and maximum likelihood techniques for limited and discrete dependent variables. Requires prior completion of INSH 6404, INSH 6500, or an equivalent introductory statistics course. PhD students only or by permission.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Spring 2024151533%10.0
Spring 2025121513%13.0
Spring 2026141527%11.0

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 0% · T 0% · W 100% · Th 0% · F 0%

Common patterns: W (100% of sections) — in patterns, R means Thursday

Professors

Spring

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

Links

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