AI Rate Professor

Mathematics

Nha Huyen Nguyen

MATH · MTH104 · MATH159 · MATH21 · 4 lifetime ratings

AI rating
38/100
RMP rating
2.9/5
Take again
0%
Difficulty
3.0

The decision

Only take her if you already have strong math foundations and and .

Best fit · Hardcore LearnerTough GraderPop QuizzesHeavy Fail RateStrict DeadlinesPolarizing
  • ruthless tough grader in higher math versus helpful responsibility coach in lower math
  • and lots of
  • Multiple reports of very low pass rates in pre-calc and engineering-level expectations

Key questions

Four answers before you build your schedule.

Is this an easy A?

HardWork

30/100

Some students earn As or A+, but , and mass failures make a reliable A far from easy.

.

Is the course easy?

Challenging

35/100

Difficulty swings by course level, with pre-calc framed as engineering-hard while lower math feels easier.

.

Is attendance flexible?

Mandatory

20/100

Attendance is repeatedly mandatory or .

.

Is this professor recommended?

Avoid

35/100

and harsh fail-rate stories outweigh the positive lower-level reviews.

.

Course guide

See how this professor fits your week.

Grading

Harsh

22/100

, and reports of failing most of a pre-calc class define harsh grading.

Format shift

All evidence from in-person reviews.

Workload

Heavy

30/100

Lots of homework, pop quizzes, and .

Format shift

All evidence from in-person reviews.

Teaching experience

Average

42/100

Positive lower-level praise for review sessions and responsibility clashes with ruthless and .

Format shift

All evidence from in-person reviews.

Assessment method

Balanced

55/100

Mix of , and tests with few graded items concentrating risk.

Format shift

All evidence from in-person reviews.

Luni fit check

Weigh these signals against your actual schedule.

Get help balancing workload, grading, and timing when no option is an obvious fit.

Course format

Compare the in-person and online experience.

Classroom format

In person

4 reviews

Medium confidence · Best fit for Hardcore Learner

In-person math experience is highly polarized: brutal in MATH21 and MATH159, kinder and .

Main concern

Very , and engineering-level expectations in pre-calc.

What students said

“Out of a class of about 45 students this witch passed about 6.”
MATH21
“I'm not sure she has a heart. She's ruthless and mean.”
MATH159
“ . Nguyen, she is helpful and .”
MTH104

Remote format

Online

0 reviews

Low confidence

No stored summary is available for this format.

Main concern

No main concern is stored for this format.

Exam style

Know what to expect from exams and major assignments.

Pop quizzes, few graded items, and higher math.

Pop QuizzesFew Graded ItemsFormulas Eventually AllowedStrict Tests

Assessment risk

Strict

28/100

Low score means less forgiving assessment conditions.

In person

In-person math uses pop quizzes and high-stakes tests; dean intervention was needed for formulas on exams.

Pop QuizzesTough TestsFormulas on Tests After Complaint
“BEWARE OF POP QUIZZES”
MATH159
“made her . Still failed like 40 kids.”
MATH21

Online

Student evidence

See what students actually said.

Top student voice

“Out of a class of about 45 students this witch passed about 6. Math 21, pre-calc. She expects everyone to be at the engineering math level so naturally she makes the class much more difficult than it's supposed to be.”

Voice snapshots generated from 4 in-person math reviews with strong polarization by course level. Credibility rating: Medium.

📉 Pass Rate Risk

22/100

“Out of a class of about 45 students this witch passed about 6.”

🧊

22/100

“I'm not sure she has a heart. She's ruthless and mean. She doesn't care about your grade and ”

📘 Supportive Side

70/100

“ . Nguyen, she is helpful and .”

Theme 1

⚖️ and Difficulty

  • She's ruthless and mean
  • expects everyone to be at the engineering math level
  • Still failed like 40 kids.

Theme 2

📌 and Workload

  • Skip class? You won't pass.
  • LOTS OF HOMEWORK
  • She expects you to be on time for class and tests.

Theme 3

❤️

  • and
  • teaches responsibility
  • Fun

Data context

See exactly what the AI read.

Analysis sample

4

Recent reviews read by the AI

4

Lifetime ratings

55/100

Evidence confidence

Four in-person reviews from 2015-2018 are detailed and polarized, with .

Inside 4 stored ratings

Quality ratings

5 out of 52
4 out of 50
3 out of 50
2 out of 50
1 out of 52

Course coverage

MATH1 review
MATH1591 review
MATH211 review
MTH1041 review

Reported outcomes

A range results lead the reported letter grades.

3 reported outcomes

A range

2

A+ 1 · A 1

B range

0

No reported values

C range

0

No reported values

D range

0

No reported values

F

1

F 1

No letter grade reported

0

No reported values