AI Rate Professor

Mathematics

Edward Kim

MATH095 · MATH102 · 5 lifetime ratings

AI rating
36/100
RMP rating
2.4/5
Take again
40%
Difficulty
3.2

The decision

Avoid unless you are a strong independent note-taker .

Best fit · Self Taught ProLecture HeavyTest HeavyMumbling LecturesPolarizing StyleRude When Questioned
  • some love in-depth lectures that match the tests; and rude.
  • ; grades hang on notes and frequent exams.
  • Many would not take him again; .

Key questions

Four answers before you build your schedule.

Is this an easy A?

HardWork

38/100

Success depends on catching one-pass lectures and .

.

Is the course easy?

Standard

42/100

Content difficulty is moderate to hard, but the bigger barrier is lecture clarity and pacing.

.

Is attendance flexible?

Mandatory

25/100

and tags warn that skipping means you will not pass.

Evidence comes only from in-person reviews; .

Is this professor recommended?

Avoid

35/100

Three of five reviews strongly discourage him for and .

.

Course guide

See how this professor fits your week.

Grading

Fair

48/100

Tests match lectures for some, but limited practice and harsh classroom tone make grades feel high-stakes.

Format shift

Based only on in-person evidence.

Workload

Light

58/100

, so weekly busywork is low while .

Format shift

Based only on in-person evidence.

Teaching experience

Poor

38/100

A minority love his breakdowns; most report mumbling, fast pace, and poor question handling.

Format shift

Based only on in-person evidence.

Assessment method

FocusOnExams

88/100

Notes-only classes with exams about every two weeks and .

Format shift

Based only on in-person evidence.

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

5 reviews

Medium confidence · Best fit for Self Taught Pro

- and test-driven, polarizing, and often when he mumbles or shuts down questions.

Main concern

, and unfriendly help on exams hurt many students.

What students said

“Dude only gave notes and was hard to understand.”
MATH102
“If you are a great note taker this class is for you because he breaks down the problems in basic ways so it is easy to understand.”
MATH095

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.

; reviews do not clearly prove proctoring tools.

Test HeavyExams Every Two WeeksLecture-Matched TestsLittle Homework

Assessment risk

Standard

42/100

Low score means less forgiving assessment conditions.

In person

notes with rare homework. Reviews do not clearly prove open-book or proctoring software.

Test HeavyExams Every Two WeeksLecture-Matched Tests
“We only did notes never any assignments for his class every ”
MATH102
“ the lectures.”
MATH095

Online

Student evidence

See what students actually said.

Top student voice

“He's a very smart person, but I feel like he's teaching us as if we're as smart as him.”

Voice snapshots generated from 5 in-person reviews, highlighting polarizing lectures and . Credibility rating: Medium.

🎯 Teaching Quality

38/100

“Dude only gave notes and was hard to understand.”

😠 Classroom Climate

30/100

“He is plain rude when a girl asked a question for the .”

📝 Lecture Strengths

70/100

“He knows math so well that he can teach in a very basic way that makes sense”

👎 Recommendation

35/100

“ .”

Theme 1

👨‍🏫 About Teaching Style

  • It is very much lecture based.
  • he tends to mumble. He moves quickly during his lectures.
  • he breaks down the problems in basic ways so it is easy to understand.

Theme 2

📈 About Workload and Exams

  • .
  • every
  • the lectures.

Theme 3

⚠️ About Student Support

  • During the study guides he would get mad at people asking questions.
  • he said its too late for questions.
  • Doesnt ask for .

Data context

See exactly what the AI read.

Analysis sample

5

Recent reviews read by the AI

5

Lifetime ratings

55/100

Evidence confidence

Five in-person reviews from 2017-2019 are detailed but polarized, limiting confidence in a single average experience.

Inside 5 stored ratings

Quality ratings

5 out of 51
4 out of 51
3 out of 50
2 out of 50
1 out of 53

Course coverage

MATH1023 reviews
MATH0952 reviews

Reported outcomes

A range results lead the reported letter grades.

3 reported outcomes

A range

1

A 1

B range

1

B+ 1

C range

0

No reported values

D range

0

No reported values

F

0

No reported values

No letter grade reported

1

Drop/Withdrawal 1