CHEM 5641 — Computational Chemistry
3 semester hoursGraduateLectureusually offered: falltypical days: TBostonTraditional
Introduces basic concepts, methods, techniques, and recent advances in computational chemistry and their relevance to experimental characterizations such as spectroscopy. Topics include electronic structure theory (wave function theory and density functional theory), principles of molecular dynamics simulations, multiscale modeling, machine learning, and quantum computing relevant to computational chemistry. Builds a theoretical foundation for students to properly choose computational methods to solve common research problems in chemistry, biochemistry, and materials science. Also introduces the field of research in computational chemistry. Suitable for advanced undergraduate students and graduate students who plan to conduct research in the field of computational chemistry or plan to utilize computational techniques to complement experimental research in the molecular sciences.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 12 | 40 | 30% | 28.0 |
| Fall 2024 | 1 | 14 | 40 | 35% | 26.0 |
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 100% · W 0% · Th 0% · F 0%
Common patterns: T (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Sijia Dong (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (CHEM course descriptions) · Student reviews on RateMyHusky · All CHEM courses · Plan it at numap.app