Current instructor

Josiah Hanna

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 8 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

COMPSCI 639
Quality 5/5Difficulty 3/5
Knowledge, approachable, and engaging during lecture. The projects for CS639 were fun, but challenging. One exam that wasn't too bad.
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COMPSCI 639
Quality 5/5Difficulty 3/5
Great lecturer and very approachable. The course was well structured, and the homeworks were fun and open ended (3/5 were pretty tough though). Only one test, which was easy
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COMPSCI 639
Quality 5/5Difficulty 2/5
I took CS 639 autonomous robotics, and the lecture was well-organized, the readings and homework were well-designed, and the total workload was fine. Although there are some complex concepts, he will collect questions before class and answer each one in clear detail.
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COMPSCI 540
Quality 1/5Difficulty 3/5
His lectures would typically consist of robotically reading slides, often without explanation. We would often skip example problems in class to meet the slide quota for the lecture. Unfair regrade policy where you get a -10 even for any justified regrade requests.
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COMPSCI 540
Quality 5/5Difficulty 3/5
Awesome prof. His lectures are very clear and he understands the subject matter well However, this class is covering too many topics. So, it can't get depth or attractive logical class. Just covering the overall AI. +Exam is tough
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Josiah Hanna

Intelligent Robotics introduces common robot modeling and algorithmic approaches, covering robot representations, kinematics, motion planning, perception, state estimation, learning, and control.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Senior Honors Thesis is an individual study for seniors completing theses for honors in the Computer Sciences major, arranged with a faculty member.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Directed study projects for Computer Science juniors and seniors, arranged with a faculty member.

Offering recorded · Spring 2027 · Sources

historical GPA · grades

Fall 2022–Spring 2026 · limited sample

Pre-dissertator independent research supervised by a faculty member for students who have completed a master's degree but have not reached dissertator status.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027COMPSCI 580Intelligent Robotics
Spring 2027COMPSCI 681Senior Honors Thesis
Spring 2027COMPSCI 682Senior Honors Thesis
Spring 2027COMPSCI 699Directed Study
Spring 2027COMPSCI 790Master's Thesis
Spring 2027COMPSCI 799Master's Research
Spring 2027COMPSCI 899Pre-dissertator Research
Spring 2027COMPSCI 990Dissertation
Fall 2026COMPSCI 681Senior Honors Thesis
Fall 2026COMPSCI 682Senior Honors Thesis
Fall 2026COMPSCI 699Directed Study
Fall 2026COMPSCI 702Graduate Cooperative Education
Fall 2026COMPSCI 790Master's Thesis
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 839Core Topics in Computing
Fall 2026COMPSCI 899Pre-dissertator Research
Fall 2026COMPSCI 990Dissertation

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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