Rutgers catalogResearched guideSIRS history64 section records

01:640:250

Intro Linear Algebra

MATHEMATICS

School 01 — New Brunswick School of Arts and Sciences
credits
3
Core
None listed
Typical seasons
Fall, Spring, Summer
Fall 2026 sections
14
Open snapshot
5 open in snapshot

Course guide

AI-generated overview

Course fingerprint 10 AI-generated signals

Difficulty

3/5
Why

Official Rutgers materials keep Math 250 introductory, while student discussion usually describes it as manageable but conceptually different from calculus.

Workload

3/5
Why

The course is only three credits, but the official topic list is dense and Rutgers notes that each section has its own midterms and final exam.

Pacing

4/5
Why

The Math 250 course-information sheet moves quickly from row reduction to eigenvalues and orthogonality on a tight typical schedule.

Projects

1/5
Why

The official materials emphasize lectures, textbook topics, and exams rather than project-style deliverables.

Exams

3/5
Why

Rutgers explicitly says each section runs its own midterms and final, so exams matter, but the assigned sources do not show an unusually exam-heavy grading split.

Math

3/5
Why

The course is mathematically serious, but the official content is more linear-algebraic and structural than calculus- or proof-intensity at the upper-division level.

Memorization

3/5
Why

Student advice repeatedly stresses definitions and theorem logic, so remembering precise concepts matters more here than in a purely computational class.

Abstraction

4/5
Why

Rutgers moves from matrices in Euclidean space into vector spaces, bases, dimension, and eigen-structure, which makes the course notably more abstract than precalculus or early calculus.

Prerequisites

3/5
Why

Rutgers requires only precalculus readiness or calculus placement, but student discussion still suggests mathematical maturity and algebra fluency matter a lot.

Reading

2/5
Why

The official materials are textbook-centered, yet the available evidence points more toward problem practice and definition review than long reading assignments.

What students tend to say

Public r/rutgers discussion treats Math 250 as a conceptual pivot: less dependent on calculus content than students expect, but more dependent on definitions, logical structure, and comfort proving why a statement is true. Students who come in expecting only matrix computation often say the abstraction is the real adjustment.

It feels different from calculus even when the workload is comparable

Students often describe Math 250 as being somewhere around the difficulty of Calc I or II, but hard in a different way because the course is more definition-driven and less recipe-driven.

For many students, this is their first proof-flavored math class

Advice threads repeatedly point out that the course asks you to justify statements and follow theorem-level reasoning, even though it remains more introductory than later proof-based math classes.

Calculus background matters less than mathematical maturity

A common reassurance is that introductory linear algebra does not directly use derivatives or integrals very much; students instead emphasize algebra fluency, logic, and keeping track of definitions.

Computation still matters

Even students who stress the conceptual side warn that the course still includes substantial matrix calculations, so success usually means pairing theory review with repeated computational practice.

Topic breakdown

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

6 modules

Module 1

Linear systems, row reduction, and matrix equations

The course starts with the computational engine of linear algebra: solving systems efficiently and understanding what the matrix equation Ax = b is really saying. Row operations are not just a trick for answers; they become the language for structure.

systems of equationsechelon formrow reductionmatrix equationconsistency

Basic concept overview

A matrix is more than an array of numbers

In linear algebra, a matrix often represents a transformation, a system, or a change of coordinates, so every computation has a structural meaning attached to it.

Independence is a no-redundancy test

A linearly independent set tells you that each direction contributes something new instead of being built from the others.

Dimension counts meaningful freedom

Dimension is not just a textbook definition; it measures how many coordinates are actually needed to describe the space you are working in.

Eigenvectors reveal natural directions

When a transformation acts by simply stretching a vector, that vector exposes stable structure that often makes the whole matrix easier to analyze.

Things to watch for

Memorizing procedures without the definitions behind them

Keep a running glossary for span, independence, basis, subspace, and linear transformation, and restate them in your own words.

Treating row reduction as disconnected arithmetic

After each reduction problem, translate the result back into a statement about solutions, pivot columns, or dependence.

Confusing geometric examples with the general rule

Use R2 and R3 intuition to start, then ask how the same idea is defined in n-space or an abstract vector space.

Fall 2026 sections

5 open · College Avenue, Livingston, Busch

SectionStatusInstructorMeetingCampus
0113051OpenSOFFER, SARA, SOFFER, SARATuesday 8:30 AM-9:50 AM at ABW 1170; Friday 8:30 AM-9:50 AM at ABW 1170ABW 1170College Avenue
0213052ClosedHAROON, ShtelenTuesday 2:00 PM-3:20 PM at LSH B269; Thursday 2:00 PM-3:20 PM at LSH B269LSH B269Livingston
0313053ClosedKRIVENTSOV, MATOSMonday 5:40 PM-7:00 PM at LSH B267; Wednesday 5:40 PM-7:00 PM at LSH B267LSH B267Livingston
0413054ClosedGANGULY, SOUMYA, LIU, KUIJUNMonday 12:10 PM-1:30 PM at LSH B267; Thursday 12:10 PM-1:30 PM at LSH B267LSH B267Livingston
0513055OpenMATVEEV, SHAO, GUANHUATuesday 5:40 PM-7:00 PM at LSH B269; Thursday 5:40 PM-7:00 PM at LSH B269LSH B269Livingston
0613056ClosedLIU, KUIJUN, GANGULY, SOUMYAMonday 8:30 AM-9:50 AM at LSH B267; Thursday 8:30 AM-9:50 AM at LSH B267LSH B267Livingston
0713057ClosedKALLURI, KALLUPALAM BALAMonday 2:00 PM-3:20 PM at LSH B269; Wednesday 2:00 PM-3:20 PM at LSH B269LSH B269Livingston
0913059ClosedKALLUPALAM BALA, KALLURIMonday 3:50 PM-5:10 PM at LSH B267; Wednesday 3:50 PM-5:10 PM at LSH B267LSH B267Livingston
1013060OpenSOFFER, SARA, SOFFER, SARATuesday 10:20 AM-11:40 AM at ABW 1170; Friday 10:20 AM-11:40 AM at ABW 1170ABW 1170College Avenue
1113061OpenTIEP, PHAM HUU, HAROONTuesday 12:10 PM-1:30 PM at TIL 246; Friday 12:10 PM-1:30 PM at TIL 246TIL 246Livingston
1213062ClosedELIZONDO, BIANCOTuesday 3:50 PM-5:10 PM at LSH B267; Thursday 3:50 PM-5:10 PM at LSH B267LSH B267Livingston
1313063ClosedKRIVENTSOV, MATOSMonday 7:30 PM-8:50 PM at LSH B267; Wednesday 7:30 PM-8:50 PM at LSH B267LSH B267Livingston
C113064OpenSHAO, GUANHUA, MATVEEVTuesday 7:30 PM-8:50 PM at PH 115; Thursday 7:30 PM-8:50 PM at PH 115PH 115Busch
C213065ClosedBIANCO, HIGGINSMonday 2:00 PM-3:20 PM at LSH B267; Wednesday 2:00 PM-3:20 PM at LSH B267LSH B267Livingston
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale

SIRS teaching signals

Historical student surveys

Teaching

4.01

Course quality

3.95

Response rate

38.4%

Coverage

224 offerings · 2014–2025

InstructorOfferingsTeachingQuality
Goonetilleke, Lasantha234.184.05
Soffer, Sara173.843.81
Silverstein, Laura154.244.05
Goonetilleke Lasantha74.474.30
Zhou, Zehui74.094.13
Shtelen Vladimir64.124.12

Course stats

Catalog and planning context

Credits

3

Current campuses

College Avenue, Livingston, Busch

Current availability

5 open of 14

Catalog terms

Fall, Spring, Summer

Core codes

None listed

Loaded terms

5

Prerequisites

Any Course EQUAL or GREATER Than: (01:640:112)

Degree requirement lists

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

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