Description:
Topics vary each semester. Topics such as system identification and adaptive filtering, robot dynamics and control, or learning in artificial neural networks.
Description:
Topics vary each semester. Topics such as system identification and data fusion and adaptive filtering, robot dynamics and control, or adaptation and learning in neural networks and systems.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Reenrollment Information:
A student may earn a maximum of 9 credits in all enrollments for this course.
Not open to students with credit in:
EE 963
Description:
Topics vary each semester.
Description:
Topics vary each semester. Topics such as system identification and adaptive filtering, robot dynamics and control, or learning in artificial neural networks.