Undergraduate Research with R. Weiss

Fall 2020
Winter 2021
Spring 2021
Olympia
Day
Sophomore - Senior
Class Size: 0
0 Credits per quarter
Variable credit options, see below
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Taught by

Rigorous quantitative and qualitative research is an important component of academic learning in Scientific Inquiry. Research opportunities allow science students to work on specific projects associated with faculty members’ expertise. Students typically begin by working in an apprenticeship model with faculty or laboratory staff and gradually take on more independent projects within the context of the specific research program as they gain experience. Students can develop vital skills in research design, data acquisition and interpretation, modeling and theoretical analysis, written and oral communication, collaboration and critical thinking. These are valuable skills for students pursuing a graduate degree or entering the job market.

Richard Weiss (computer science, mathematics) has several ongoing projects in computer vision, robotics, and security. There are several opportunities for students to develop cybersecurity games for teaching network-security concepts and skills within a project called EDURange. In robotics, he is looking for students to develop laboratory exercises for several different mobile robotic platforms, including Scribbler, LEGO NXT, and iRobot Create. This would also involve writing tools for image processing and computer vision using sequences of still images, video streams, and 2.5-D images from the Kinect. In addition, he is open to working with students who have their own ideas for projects in these and related areas, such as machine learning, artificial intelligence, and analysis of processor performance.

Registration

Fall 2020 Registration

Signature Required

Students should contact the faculty for more information.

Course Reference Numbers

So - Sr (1 - 16): 10326
Winter 2021 Registration

Signature Required

Students should contact the faculty for more information.

Course Reference Numbers

So - Sr (1 - 16): 20145
Spring 2021 Registration

Signature Required

Students should contact the faculty for more information.

Course Reference Numbers

So - Sr (1 - 16): 30109

Academic details

Preparatory For

computer science and mathematics.

Credits
0
Variable Credit Options
seat availability and credit options vary per quarter.
Maximum Enrollment
0
Online Learning
Complete Online Learning - This offering delivers all of its instruction online.
Class Standing
Sophomore
Junior
Senior

Schedule

In Person or Remote
Remote (F)
Remote (W)
Remote (S)
Time Offered
Day
Schedule Evergreen link
see Schedule Evergreen for detailed schedule
Location
Olympia