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01:640:311

Introduction To Real Analysis I

MATHEMATICS

School 01 — New Brunswick School of Arts and Sciences
credits
4
Core
None listed
Typical seasons
Fall, Spring, Summer
Fall 2026 sections
5
Open snapshot
2 open in snapshot

Course guide

AI-generated overview

Course fingerprint 10 AI-generated signals

Difficulty

4/5
Why

Official Rutgers goals emphasize understanding definitions, constructing proofs, and testing conjectures, and student threads consistently describe the course as a serious proof-based jump.

Workload

4/5
Why

The strongest student advice is to work many proofs yourself, which points to steady weekly effort outside lecture rather than occasional cramming.

Pacing

4/5
Why

The course covers sequences, continuity, compactness, and differentiation in one term, so the conceptual pace is brisk even when individual techniques repeat.

Projects

1/5
Why

Rutgers frames the course around textbook chapters, proofs, and instructor-written exams, not labs, programming, or project deliverables.

Exams

3/5
Why

The department notes that instructors make their own midterm and final exams, but the overall learning signal still looks balanced between exams and proof practice.

Math

5/5
Why

Every core topic is mathematically dense and proof-driven, with epsilon arguments, inequalities, and theorem-based reasoning at the center of the course.

Memorization

2/5
Why

Success depends more on understanding hypotheses and building arguments than on memorizing many standalone formulas or facts.

Abstraction

5/5
Why

Real analysis formalizes familiar calculus ideas through proofs about limits, continuity, compactness, and the real numbers, making the class highly conceptual.

Prerequisites

5/5
Why

Rutgers requires Calc IV and a C or better in Math 300, and student discussion repeatedly says proof comfort from 300 is the key preparation.

Reading

3/5
Why

Students are expected to read definitions and solved arguments carefully, but the course still leans more on doing proofs than on unusually large reading volume.

What students tend to say

Public Rutgers discussion treats Math 311 as a real proof course rather than a continuation of plug-and-chug calculus. Students tend to say the course is manageable with steady practice, but only if you actively write proofs and do not rely on passive review.

Math 300 preparation matters a lot

Advice threads repeatedly say that proof-writing comfort from Math 300 is the most useful preparation, more so than extra computational calculus tricks.

Definitions and inequalities come up constantly

Students often single out the triangle inequality, topology-of-R style reasoning, and close reading of definitions as recurring pressure points.

Doing exercises is viewed as the real study method

The strongest recurring advice is to struggle through proofs yourself before looking for help, because analysis fluency comes from repeated attempts rather than rereading notes.

Study groups help, but they do not replace individual proof work

Students recommend making a study group for momentum and discussion, while also warning that each person still has to build their own proof-writing instincts.

Topic breakdown

A practical chapter-by-chapter view from foundations to applications.

5 modules

Module 1

Real numbers, functions, and proof language

The course opens by reframing familiar calculus objects in a more rigorous style. Students are expected to read definitions closely, distinguish examples from proofs, and work carefully with the structure of the real numbers.

real numbersfunctionsleast upper boundcountable setsdefinitionsproof writing

Basic concept overview

Calculus theorems need hypotheses

Real analysis is where results that once felt automatic start to depend on exact assumptions such as compactness, continuity, or differentiability.

Epsilon language is a tool, not just a ritual

The epsilon-delta or epsilon-N format is how the course captures closeness and limiting behavior in a way that can actually be proved.

Local and global behavior are different

Continuity at each point does not automatically give one uniform rule on an entire set, which is why compactness and uniform continuity matter.

Analysis trains disciplined mathematical writing

A correct intuition only becomes a solution when the proof identifies the needed theorem, quantifiers, and inequalities clearly enough for someone else to verify.

Things to watch for

Memorizing theorem names without their hypotheses

Attach each theorem to the exact conditions under which it is valid, especially compactness, boundedness, continuity, and differentiability.

Treating proof problems like hidden computation exercises

Start by asking what the statement means in definition form and what kind of estimate or contradiction would prove it.

Reading solved proofs without first attempting one

Give yourself time to struggle productively, because that is where the skill of choosing a proof strategy gets built.

Using informal phrases where an inequality or quantifier is required

Whenever you write 'gets close' or 'small enough,' translate that phrase into a formal bound.

Fall 2026 sections

2 open · Livingston

SectionStatusInstructorMeetingCampus
0113134OpenCHANILLO, SAGUN, ACEVAL GARCIAMonday 10:20 AM-11:40 AM at BE 213; Thursday 10:20 AM-11:40 AM at BE 213; Wednesday 8:30 AM-9:50 AM at BE 111BE 213BE 111Livingston
0213135ClosedFREITAS GOUVEIA, HUANG, XIAOJUNTuesday 7:30 PM-8:50 PM at BE 111; Thursday 7:30 PM-8:50 PM at BE 111; Wednesday 7:30 PM-8:50 PM at BE 111BE 111Livingston
0513138OpenRONG, XIAOCHUN, Lee, Sang-HyukTuesday 2:00 PM-3:20 PM at BE 219; Thursday 2:00 PM-3:20 PM at BE 219; Wednesday 8:30 AM-9:50 AM at LSH A121BE 219LSH A121Livingston
0613139ClosedCHASE, FREITAS GOUVEIAMonday 2:00 PM-3:20 PM at BE 221; Wednesday 2:00 PM-3:20 PM at BE 221; Tuesday 8:30 AM-9:50 AM at BE 219BE 221BE 219Livingston
H113140ClosedLee, Sang-Hyuk, RONG, XIAOCHUNTuesday 3:50 PM-5:10 PM at BE 111; Thursday 3:50 PM-5:10 PM at BE 111; Wednesday 3:50 PM-5:10 PM at BE 111BE 111Livingston
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale

SIRS teaching signals

Historical student surveys

Teaching

4.34

Course quality

4.24

Response rate

45.8%

Coverage

119 offerings · 2014–2025

InstructorOfferingsTeachingQuality
Huang, Xiaojun94.424.43
Cakoni54.424.22
Rong, Xiaochun54.024.00
Huang Xiaojun44.504.68
Beals, Robert44.754.53
Stewart, Gavin44.304.08

Course stats

Catalog and planning context

Credits

4

Current campuses

Livingston

Current availability

2 open of 5

Catalog terms

Fall, Spring, Summer

Core codes

None listed

Loaded terms

5

Prerequisites

(01:640:244 and 01:640:300 and 01:640:300 and 01:640:300) <em> OR </em> (01:640:252 and 01:640:300 and 01:640:300 and 01:640:300) <em> OR </em> (01:640:292 and 01:640:300 and 01:640:300 and 01:640:300) <em> OR </em> (21:640:314 and 01:640:250 and 01:640:300 and 01:640:300) <em> OR </em> (21:640:314 and 21:640:350 and 01:640:300 and 01:640:300)

Degree requirement lists

No direct degree-list membership appears in the checked-in requirement index.

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