DSCI216
STOCHASTIC COMPUTING
- Department
- Data Science
- Terms offered
- 5
- Data refreshed
- Jun 27, 2026
Description
This course is about dealing with uncertainty that appears in virtually all areas of data science and computer science. This will be accomplished with tools and techniques for its measurement, description, evaluation, and ultimately making decisions under uncertainty. The course will approach these goals using a three-fold approach, namely problem, theory, and prototype (PTP). We will motivate major topics by discussing a problem. The purpose of discussion of the problem is to give context behind why a particular supporting topic in probability was developed or what it is intended to address. The problem will be followed by theory. This concerns rigorous mathematical definition and tools for their manipulation in order to address the problem. Emphasis will be placed on approaches that are amenable to implementation. Finally, theory will be followed by prototype. The purpose of the prototype aspect of the course is to train students in the development of models that serve a useful purpose.
Syllabi
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Offerings and forecast 2021–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 64% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Department course count rising about 18% per year. Department faculty is about 61% above its recent average. | 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 67% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Department course count rising about 25% per year. Department faculty is about 76% above its recent average. | 2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 70% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Department course count rising about 26% per year. Department faculty is about 87% above its recent average. | 2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 73% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Department course count rising about 26% per year. Department faculty is about 97% above its recent average. | 2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | Not offered | Not offered | No data |
| 2025 | 1 section | Not offered | Not offered | Not offered |
| 2024 | 1 section | Not offered | Not offered | Not offered |
| 2023 | 1 section | Not offered | Not offered | Not offered |
| 2022 | Not offered | Not offered | Not offered | Not offered |
| 2021 | 1 section | Not offered | Not offered | Not offered |
Meeting times
Recent first- Tue, 12:00 PM–1:15 PM MACD310 2026-22025-1
- Tue, Thu, 9:00 AM–10:15 AM MACD310 2026-1
- Tue, Fri, 1:25 PM–2:40 PM MACD002 2025-2
- Fri, 10:25 AM–11:40 AM BP310 2021-1
- Tue, Fri, 12:00 PM–1:15 PM BP316 2021-22021-3
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Li Han | Lecture | 1 | 15 of 18 enrolled | 22409 |
| Fall 2025 | Li Han | Lecture | 1 | 21 of 24 enrolled | 22409 |
| Fall 2024 | Gary F. Holness | Lecture | 1 | 22 of 24 enrolled | 22409 |
| Fall 2023 | Gary F. Holness | Lecture | 1 | 10 of 24 enrolled | 22409 |
| Fall 2021 | Gary F. Holness | Lecture | 1 | 24 of 24 enrolled | 28540 |