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01:198:112

Data Structures

COMPUTER SCIENCE

School 01 — New Brunswick School of Arts and Sciences
credits
4
Core
None listed
Typical seasons
Fall, Spring, Summer
Fall 2026 sections
37
Open snapshot
0 open in snapshot

Course guide

AI-generated overview

Worth knowing

AI-generated

Practice is built into the course loop

The public course site connects lecture, problem-solving recitation, Java labs and assignments, then AutoLab feedback and resubmission.

1 connected entity

The gateway to several CS branches

Data Structures is a prerequisite for systems, software methodology, databases, computer graphics, and other upper-level paths.

6 connected entities

Draw and trace; do not just memorize

Recurring student advice is to draw linked structures and trees, trace operations, and practice recitation problems steadily.

1 connected entity

Course fingerprint 10 AI-generated signals

Difficulty

4/5
Why

Officially the course moves into core data-structure and algorithm design work, and student threads repeatedly describe it as a major step up from CS111.

Workload

4/5
Why

The current Rutgers site lists weekly labs, an autograded programming assignment, recitation quizzes, and multiple in-person exams.

Pacing

4/5
Why

Students are given about a week after each topic for labs while the course keeps moving through linked structures, trees, hashing, and graphs.

Projects

3/5
Why

The official workload is coding-heavy through labs and assignments, but the public course site points to shorter repeated programming work rather than a long capstone-style project.

Exams

4/5
Why

Rutgers assigns two in-person exams plus three in-person quizzes, and student discussion often singles exams out as a stress point.

Math

2/5
Why

Big-O and algorithm analysis matter, but the published material is still more code-and-structure focused than math-proof focused.

Memorization

2/5
Why

Student advice consistently emphasizes drawing structures and tracing operations, which suggests understanding matters more than pure recall.

Abstraction

3/5
Why

The course sits in the middle ground where students must reason about invariants and tradeoffs, but still through very concrete structures and operations.

Prerequisites

4/5
Why

Both the official synopsis and student preparation advice make clear that weak CS111 skills in Java, recursion, arrays, and asymptotic thinking will hurt quickly.

Reading

2/5
Why

The public Rutgers materials put most of the effort into problem solving, labs, assignments, and exams rather than sustained reading-heavy preparation.

What students tend to say

Public r/rutgers discussion generally frames CS112 as a major gateway course: very manageable for students who actively practice and draw structures, but stressful when assignments or exams require deeper conceptual tracing than the early work suggests.

Preparation advice clusters around CS111 fundamentals

Students commonly recommend reviewing arrays, recursion, Big-O runtimes, searching, sorting, and Java comfort before the semester starts.

Drawing beats memorizing

Several advice threads emphasize drawing linked lists, trees, and recursive call behavior so reference changes and traversal order become visible.

Problem sets and recitations matter

Exam-advice threads point students back to recitation problems, section reviews, past exams, and doing problems independently rather than only rereading notes.

The difficulty can feel uneven

Some students report early assignments feeling straightforward before later projects or exams ramp up, so steady weekly practice is safer than waiting until a deadline.

Topic breakdown

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

5 modules

Module 1

Review: Java, arrays, recursion, and Big-O

The course assumes students can already write Java and then pushes that skill toward structured problem solving. Early work usually feels like a bridge from CS111 into runtime analysis, recursion, arrays, and searching/sorting patterns.

Java object referencesarraysrecursioncall stackBig-Osearching and sorting

Basic concept overview

Representation drives cost

The same abstract idea can have very different runtimes depending on whether it uses contiguous memory, pointers, hashing, or tree shape.

Invariants keep structures valid

A heap, binary search tree, or hash table only works because key rules remain true after every update.

Traversal is a thinking pattern

Many problems reduce to visiting each node or element in the right order while carrying the right state.

Algorithm design is tradeoff design

Fast lookup, cheap insertion, sorted order, and low memory use rarely all come for free.

Things to watch for

Memorizing Big-O without the operation

Always ask: lookup, insertion, deletion, traversal, or resize?

Losing links in linked-list updates

Draw old and new pointers before assigning them in code.

Ignoring collision behavior in hashing

Reason about load factor, collision strategy, and resizing.

Fall 2026 sections

0 open · Livingston, Busch

SectionStatusInstructorMeetingCampus
0111425ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Friday 2:15 PM-3:10 PM at LSH B121TIL 254LSH B121Livingston
0211426ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Friday 2:15 PM-3:10 PM at TIL 125TIL 254TIL 125Livingston
0311427ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Friday 2:15 PM-3:10 PM at TIL 127TIL 254TIL 127Livingston
0411428ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Friday 2:15 PM-3:10 PM at LSH B116TIL 254LSH B116Livingston
0511429ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 5:55 PM-6:50 PM at LSH B123TIL 254LSH B123Livingston
0611430ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 5:55 PM-6:50 PM at LSH A140TIL 254LSH A140Livingston
0711431ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 5:55 PM-6:50 PM at LSH B116TIL 254LSH B116Livingston
0811432ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 5:55 PM-6:50 PM at LSH B111TIL 254LSH B111Livingston
0911433ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 10:35 AM-11:30 AM at BE 219TIL 254BE 219Livingston
1011434ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 10:35 AM-11:30 AM at BE 201TIL 254BE 201Livingston
1111435ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 10:35 AM-11:30 AM at LSH B105TIL 254LSH B105Livingston
1211436ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 10:35 AM-11:30 AM at BE 213TIL 254BE 213Livingston
1311437ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 12:25 PM-1:20 PM at TIL 127TIL 254TIL 127Livingston
1411438ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 12:25 PM-1:20 PM at TIL 224TIL 254TIL 224Livingston
1511439ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 12:25 PM-1:20 PM at BE 221TIL 254BE 221Livingston
1611440ClosedCentenoTuesday 3:50 PM-5:10 PM at TIL 254; Thursday 3:50 PM-5:10 PM at TIL 254; Wednesday 12:25 PM-1:20 PM at BE 201TIL 254BE 201Livingston
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale

SIRS teaching signals

Historical student surveys

Teaching

4.02

Course quality

3.93

Response rate

38.9%

Coverage

78 offerings · 2016–2025

InstructorOfferingsTeachingQuality
Venugopal, Sesh114.183.82
Zhai, Juan113.573.67
Chang, Lily73.803.87
Centeno64.504.25
Centeno A64.324.17
Centeno54.344.00

Course stats

Catalog and planning context

Credits

4

Current campuses

Livingston, Busch

Current availability

0 open of 37

Catalog terms

Fall, Spring, Summer

Core codes

None listed

Loaded terms

3

Prerequisites

(01:198:111)

Degree requirement lists

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

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