ENGR2104 · Engineering Human Centered
Morrissey College of Arts & Sciences
| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 4 | 3.1 | 3.7 |
| Spring 2024 | 4 | 4.2 | 4.5 |
| Spring 2023 | 2 | 3.6 | 3.9 |
Associate Professor of the Practice, Engineering, Morrissey College of Arts & Sciences
4 evaluations for this course
This course provides students the mathematical and statistical foundation for analyzing engineering systems. Topics include descriptive statistics, probability theory, regression analysis, probability distributions (Binomial, Poisson, Normal, Exponential), confidence intervals, hypothesis testing, and statistical process control, as well as graphical description of data. Additional topics include mathematical definition of reliability and uncertainty quantification. In the hands-on lab portion of the class, students apply these concepts to engineering decision-making, quality control, and predictive modeling, to connect the theoretical analysis with practical engineering applications.
Estimated from the original workload response buckets. Individual sections may differ.
Written reviews 0
No written reviews yet
Numerical ratings and written feedback are separate. Be the first to share what you wish you’d known before taking this course.