Current instructor

Ming Liu

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.40/5 from 5 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 740
Quality 5/5Difficulty 4/5
Ming is the best professor, researcher, and mentor you can find in/out-side UW. I've taken both his classes CS640/740. His insights are immense -- you'll feel that these courses are invaluable after some time passes in your life/career. He is also a rising star in his field, and will undoubtedly become a highly represented figure in near future.
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COMPSCI 740
Quality 2/5Difficulty 3/5
Cs-640 Great at answering questions. Not so great at running a class. Grades were a bit of a mystery- quizzes were either really hard or really easy, but seemed to be participation only. TAs were sometimes at office hours. When time was called on the final, half of the class kept taking the exam for the next 5 minutes - unfair.
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COMPSCI 740
Quality 5/5Difficulty 1/5
Professor Ming has excellent taste in papers and explains them clearly, showing his extensive knowledge in networks and related fields. Highly recommended for both entry-level and graduate-level network studies.
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COMPSCI 740
Quality 5/5Difficulty 2/5
One of my fav profs in CS. Extremely knowledgable in networks and related areas, and very passionate about teaching. He makes complex and abstract networks concepts so easy to understand. I also took cs640 undergrad networks with him, which is a great experience as well.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Ming Liu

COMPSCI 640

Introduction to Computer Networks

3 credits

Introduction to Computer Networks covers architecture, protocols, layering, routing, security, and performance using Ethernet, IP, TCP, and HTTP.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Fall 2022: 3.48 GPA, 68.8% A/AB (n=96 letter grades); Spring 2025: 3.45 GPA, 64.4% A/AB (n=59 letter grades); Spring 2026: 3.58 GPA, 73.3% A/AB (n=86 letter grades). Includes jointly taught sections.

Ming Liu

historical GPA · grades

Fall 2022–Spring 2026
COMPSCI 681

Senior Honors Thesis

3 credits

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

Fred SalaMing Liu+20 more

No recorded grade history

COMPSCI 699

Directed Study

1–6 credits

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

Offering recorded · Spring 2027 · Sources

Fred SalaDan Negrut+49 more

historical GPA · grades

Fall 2022–Spring 2026 · limited sample
COMPSCI 899

Pre-dissertator Research

1–9 credits

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

Fred SalaSong Gao+63 more

No recorded grade history

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027COMPSCI 640Introduction to Computer Networks
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 699Directed Study
Fall 2026COMPSCI 740Advanced Computer Networks
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 899Pre-dissertator Research

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

Instructor identity & provenance 
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