CSCI 2227 Introduction to Scientific Computation
An introductory course in computer programming for students interested in numerical and scientific computation. Students will learn to write their own computer programs that solve computational problems such as interpolating data, solving nonlinear equations, and simulating differential equations. Emphasis will be placed on the underlying computation methods, precision, and potential sources of numerical error, including the mechanics of 64-bit floating-point numbers. Topics include Taylor approximations, interpolatory quadrature, Newton's Method, Gaussian Elimination, and Runge-Kutta recurrences, with more as time allows. Basic Calculus knowledge is required (polynomials, derivatives, and integrals), and familiarity with infinite series is recommended. Students will write programs in the Python programming language. No prior Python experience assumed.
Course overview
- Department
- Computer Science
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Periodically
Catalog details
Requirements fulfilled
- Computer Science B.A.: CSCI 2000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Neuroscience B.S.: Computation (6 Credits) — Any one of the following courses (Current University Catalog; students should confirm their catalog year)
- Applied Physics B.S.: Corequisite: Computer Science (one course) (Current University Catalog; students should confirm their catalog year)
- Physics B.S.: Corequisite: Computer Science (one course) (Current University Catalog; students should confirm their catalog year)
- Mathematics B.S.: Natural science, computer science, or economics corequisites (Current University Catalog; students should confirm their catalog year)
Course evaluations
- Course rating
- 3.59 / 5 · Very Good
- Instructor rating
- 3.83 / 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Duncan Levear | 3.6 | 3.7 | 4.4 | 4.5 | 4.6 | 4.3 | 4.5 | 4.3 | 7–9 hrs/week | 16 of 18 |
| Fall 2024 | Duncan Levear | 3.8 | 3.9 | 4.6 | 4.5 | 4.8 | 4.4 | 4.5 | 4.6 | 4–6 hrs/week | 12 of 15 |
| Fall 2023 | Duncan Levear | — | — | — | — | — | — | — | — | — | 27 of 34 |
| Fall 2021 | Sergio Alvarez | 3.8 | 4.3 | 4.7 | 4.4 | 4.8 | 4.7 | 4.3 | 4.7 | 4–6 hrs/week | 10 of 14 |