CSCI265

ROBOTICS & INTELLIGENT SYS

This course is offered in a current or upcoming term. Check the official course schedule before registering.
Also listed under 2 other titles
  • ROBOTICS
  • LAB FOR ROBOTICS
Department
Computer Science
Terms offered
4
Data refreshed
Jun 30, 2026

Description

Embodied Situated Agents interact continuously with their environment through a Sense-Think-Act cycle. Advancements in electronics, embedded computing, and access to networks engender increasingly sophisticated processes and computations endowing them with the ability to sense, interpret, and act upon the content of their environment. From traditional robots to Internet of Things, growth in the volume of data and computational power has enabled increasingly data-driven approaches facilitating algorithms for autonomous operation. Beginning with an introduction to considerations for robot mechanism, sensor, actuator, hardware, and software, this course covers computational approaches, tools, models and methods that ultimately employ data for the enablement of autonomous decision-making. Course concepts will be reinforced on a robot platform through an increasingly sophisticated series of laboratory experiments. Students should be comfortable with experimentation, interested in reduction-to-practice of theoretical concepts, and have good programming and general problem solving skills.

Syllabi

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Offering history & forecast 2016–2026

2005
2026
Sections offered by academic year and season, with estimated offering chances for future years above the divider
YearFallSpringSummerIntersession
2030 2030 Fall: 29% chance, medium confidence. Offered in 2 of 9 fall terms since 2018. Department course count rising about 16% per year. 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: 29% chance, medium confidence. Offered in 2 of 10 fall terms since 2017. Department course count rising about 14% per year. 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: 30% chance, medium confidence. Offered in 2 of 11 fall terms since 2016. Department course count rising about 14% per year. 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: 31% chance, medium confidence. Offered in 3 of 12 fall terms since 2015. Department course count rising about 13% per year. 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 for this term
2025 Not offered Not offered Not offered Not offered
2024 Not offered Not offered Not offered Not offered
2023 Not offered Not offered Not offered Not offered
2022 1 section Not offered Not offered Not offered
2021 Not offered Not offered Not offered Not offered
2020 Not offered Not offered Not offered Not offered
2019 Not offered Not offered Not offered No data for this term
2018 Not offered Not offered Not offered No data for this term
2017 Not offered Not offered Not offered Not offered
2016 Not offered Not offered Not offered No data for this term
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first
  • Tue, Thu, 9:00 AM–10:15 AM MACD307 2026-1
  • Wed, 9:00 AM–10:15 AM MACD307 2026-2
  • Thu, 9:00 AM–10:15 AM Carlson Hall CH120 2005-2
  • Tue, 1:25 PM–4:05 PM Biological Sciences B124 2005-1
Credit-bearing sections of CSCI265
TermProfessorTypeCreditsEnrollmentCRN
Fall 2026Gary F. HolnessLecture1 9 of 18 enrolled24787
Fall 2022Gary F. HolnessLecture1 8 of 24 enrolled21748
Fall 2015Kenneth J. BasyeLecture1 22 of 24 enrolled24587
Spring 2005Li HanLecture1 9 of 25 enrolled32319

No-credit sessions

No-credit sections of CSCI265
TermProfessorTypeCreditsEnrollmentCRN
Spring 2005Li HanLab- 7 of 25 enrolled32320