ENGR 1103 Engineering Analysis Lab
In this course, students will learn and apply integral calculus and scientific principles to develop analytical solutions for engineering problems. Students will learn how to devise experiments, collect and analyze data, and conduct basic error analysis. The course will be structured as individual experimental modules to get hands-on experience with fundamental instruments including power supplies, sensors, electromechanical components, and computer-based data acquisition systems. Following this course, students will be equipped to apply quantitative analytical techniques to a variety of practical engineering problems.
Course overview
- Department
- Engineering
- School
- MCAS
- Credits
- 2
- Level
- Undergraduate
- Offered
- Every Spring
Requirements fulfilled
Course evaluations
- Course rating
- 3.92 / 5 · Very Good
- Instructor rating
- 4.10 / 5 · Very Good
- Terms evaluated
- 4
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Bryan Ranger | 4.0 | 3.9 | 4.6 | 4.5 | 4.5 | 4.5 | 4.5 | 4.7 | 1–3 hrs/week | 21 of 24 |
| Spring 2026 | Siddhant Joshi | 3.3 | 3.3 | 4.1 | 4.2 | 4.3 | 4.3 | 4.4 | 4.4 | 1–3 hrs/week | 18 of 23 |
| Spring 2025 | Bryan Ranger | 4.3 | 4.4 | 4.5 | 4.5 | 4.5 | 4.7 | 4.7 | 4.5 | 1–3 hrs/week | 15 of 22 |
| Spring 2025 | Luke Perreault | 3.6 | 4.5 | 4.2 | 4.3 | 4.3 | 4.5 | 4.4 | 4.4 | 1–3 hrs/week | 20 of 27 |
| Spring 2024 | Bryan Ranger | 4.2 | 4.5 | 4.6 | 4.5 | 4.5 | 4.5 | 4.6 | 4.5 | 1–3 hrs/week | 26 of 29 |
| Spring 2024 | Luke Perreault | 4.6 | 4.9 | 4.8 | 4.7 | 4.7 | 4.6 | 4.6 | 4.5 | 1–3 hrs/week | 14 of 19 |
| Spring 2023 | Bryan Ranger | 3.7 | 3.8 | 4.3 | 4.4 | 4.6 | 4.1 | 4.4 | 4.3 | 1–3 hrs/week | 39 of 50 |