IE 7280 — Statistical Methods in Engineering
4 semester hoursGraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional
Discusses statistical models for analysis and prediction of random phenomena. Topics include review of descriptive statistics and hypothesis testing, linear models, both regression and ANOVA. Introduces design of experiments. Covers experiments with single and multiple factors of interest, and considers experiments with high-order experimental restrictions.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 3 | 90 | 115 | 78% | 8.3 |
| Spring 2024 | 2 | 42 | 78 | 54% | 18.0 |
| Summer A 2024 | 1 | 15 | 30 | 50% | 15.0 |
| Fall 2024 | 2 | 37 | 66 | 56% | 14.5 |
| Spring 2025 | 2 | 27 | 78 | 35% | 25.5 |
| Summer A 2025 | 1 | 10 | 30 | 33% | 20.0 |
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 6% · T 37% · W 0% · Th 6% · F 37%
Common patterns: async (57% of sections), TF (37% of sections), MR (6% of sections) — in patterns, R means Thursday
Professors
Fall
- Nasser Fard (39% of students) · reviews
- Shahin Shahrampour (32% of students) · reviews
- Wei Xie (28% of students) · reviews
Spring
- Nasser Fard (74% of students) · reviews
- Jinxiang Pei (19% of students) · reviews
- Wei Xie (7% of students) · reviews
Summer A
- Nasser Fard (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (IE course descriptions) · Student reviews on RateMyHusky · All IE courses · Plan it at numap.app