AI Rate Professor

Mathematics

Francis Nacozy

MATH100 · MATH64 · MATH101 · MATH103 · MATH92 · MAT101 · MATH130 · MATH830 · MATHTRIG · STATS · MATH125 · MATH50 · 29 lifetime ratings

AI rating
51/100
RMP rating
3.0/5
Take again
—
Difficulty
2.6

The decision

if you can teach yourself math; grades can be fair but lectures often fail weak students.

Best fit · Self Taught ProPolarized lecturesPartial credit kingMumbles and faces boardEasy tests if you self-studyChill but unclear
  • some call him a , and does not teach.
  • Tests are often fair or easy with partial credit, notes, and review of .
  • Success usually requires heavy self-study, tutoring, or already being strong in math.

Key questions

Four answers before you build your schedule.

Is this an easy A?

EasyA

72/100

Many students report , and an A if they do homework and stick with him.

; no online reviews.

Is the course easy?

Standard

55/100

Content is manageable for prepared students, but for others.

; no online reviews.

Is attendance flexible?

Optional

78/100

as not mandatory and some say he does not care if you leave early or zone out.

; no online reviews.

Is this professor recommended?

Depends

48/100

Roughly half strongly recommend the fair easy path while the other half urge .

; no online reviews.

Course guide

See how this professor fits your week.

Grading

Lenient

74/100

Students , and no docking for minor mistakes.

Format shift

.

Workload

Light

68/100

but is often light; quizzes and a .

Format shift

.

Teaching experience

Average

50/100

Knows math and can be funny or helpful, yet many report mumbling, facing the board, and unusable lectures.

Format shift

.

Assessment method

Balanced

52/100

, and a final, with exam prep reviews common.

Format shift

.

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

29 reviews

High confidence · Best fit for Self Taught Pro

mumbled lectures that force tutoring for others.

Main concern

the math center and YouTube.

What students said

“Very chill guy. Good style of teaching, straight to the point and let's you know what's expected.”
MATH92
“ . if you are not good at math.”
MATH125
“this man was not put on this earth to teach math. This class is very difficult and .”
MATH130

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.

, partial credit, and prior review, even when lectures are weak.

Partial creditNotes allowedExam review beforehandHandwritten tests

Assessment risk

StudentFriendly

74/100

Low score means less forgiving assessment conditions.

In person

and are previewed the class before.

Partial creditNotes on testsPre-test review
“He lets and .”
MATH101
“Tells exactly and .”
MATH130
“gives credit for problem you did incorrectly as long as you are close.”
MATH92

Online

Student evidence

See what students actually said.

Top student voice

“Mr.Nacozy is just a retired engineer who loves to sail boats. He is a but this man was not put on this earth to teach math.”

Voice snapshots generated from 29 in-person reviews, highlighting polarized teaching and . Credibility rating: High.

🎯 Teaching Quality

50/100

“he mumbles, he stands with his back towards you, he has horrible hand writing and does not even teach.”

📈 Easy Grades Possible

72/100

“Stick with him and receive an easy A.”

👍 Polarized Recommendation

48/100

“ .”

Theme 1

👨‍🏫 About Teaching Style

  • Good style of teaching, straight to the point
  • Goes waay too fast, mumbles, has his back towards you
  • .

Theme 2

📈 About Difficulty & Grades

  • though and .
  • ! makes it really easy for u to get a good grade
  • I got an A in the class but .

Theme 3

❤️ About Character

  • Very chill guy
  • He wants everyone to do good
  • Nice guy

Data context

See exactly what the AI read.

Analysis sample

29

Recent reviews read by the AI

29

Lifetime ratings

82/100

Evidence confidence

Twenty-nine detailed in-person reviews span about a decade with a and .

Inside 29 stored ratings

Quality ratings

5 out of 59
4 out of 56
3 out of 53
2 out of 54
1 out of 57

Course coverage

MATH10112 reviews
MATH1305 reviews
MATH1002 reviews
MATH1252 reviews
MAT1011 review
Show 7 more courses
MATH1031 review
MATH501 review
MATH641 review
MATH8301 review
MATH921 review
MATHTRIG1 review
STATS1 review

Reported outcomes

B range results lead the reported letter grades.

1 reported outcomes

A range

0

No reported values

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

0

No reported values