Rutgers catalogResearched guideSIRS history49 section records

01:198:205

Introduction To Discrete Structures I

COMPUTER SCIENCE

School 01 — New Brunswick School of Arts and Sciences
credits
4
Core
None listed
Typical seasons
Fall, Spring, Summer
Fall 2026 sections
11
Open snapshot
7 open in snapshot

Course guide

AI-generated overview

Course fingerprint 10 AI-generated signals

Difficulty

4/5
Why

Rutgers emphasizes logic, induction, and formal definitions, and student discussion consistently warns that proof-based reasoning is a real adjustment.

Workload

4/5
Why

The official course structure includes lectures, problem-solving recitations, recurring recitation quizzes, and exam prep that students say becomes rough if started late.

Pacing

4/5
Why

The common lecture plan moves from logic to sets, induction, relations, computation models, and number theory with weekly recitation checkpoints.

Projects

1/5
Why

Both Rutgers materials and student comments present CS205 as a proof-and-problem-set class rather than a project or programming course.

Exams

4/5
Why

The official syllabus site highlights scheduled quizzes and exams, and student advice centers heavily on using old exams and staying ready for assessments.

Math

5/5
Why

The course is explicitly a mathematical foundations class built around logic, sets, functions, induction, and discrete models of computation.

Memorization

2/5
Why

Student and official signals both point toward proof construction and notation fluency, which reward reasoning more than pure memorization.

Abstraction

5/5
Why

CS205 lives in symbolic logic, proof structure, and formal definitions, so the material is substantially more abstract than a code-first class.

Prerequisites

3/5
Why

Students say heavy calculus is not required, but weak comfort with symbolic reasoning and precise notation tends to hurt quickly.

Reading

2/5
Why

Rutgers provides textbook practice and supplemental materials, but the public evidence suggests written problem solving matters more than large reading volume.

What students tend to say

Public Rutgers discussion usually frames CS205 as a math-and-proofs course much more than a programming course. Students commonly say calculus review is not the main issue; the real adjustment is learning symbolic precision, proof technique, and how to start problem sets early enough that induction or relation questions do not pile up at the last minute.

Most students describe it as math, not coding

The strongest recurring theme is that CS205 feels like a proof-based logic class with little to no programming, even though it is essential for later computer science courses.

Calculus is not the main preparation barrier

When students ask what to review beforehand, answers usually point to logic, symbolic reasoning, and comfort with abstraction rather than to heavy calculus techniques.

Problem sets get harder if you start late

Student advice regularly warns that the course becomes more manageable when you begin the written problem sets early instead of treating them like a short cram-and-submit task.

Induction and formal notation are common stumbling blocks

Even students who feel fine early on often single out induction, symbolic notation, and proof organization as the places where the course suddenly becomes much less forgiving.

Topic breakdown

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

6 modules

Module 1

Foundations of logic and proof

The official lecture sequence opens with propositional logic, quantifiers, and proof methods. This is the vocabulary-building stage of the course: students learn how to state claims precisely and then prove implications directly, by contraposition, contradiction, or cases.

propositional logicpredicatesquantifiersdirect proofcontrapositionproof by contradiction

Basic concept overview

Proof is a practical CS skill

CS205 treats proof as more than a math ritual: it is training for reasoning about program behavior, correctness, invariants, and formal models that later theory courses depend on.

Abstraction is the subject

Sets, relations, and functions are not separate trivia lists. They are the basic language for describing systems without getting distracted by implementation details too early.

Induction mirrors recursive thinking

One reason induction matters so much is that it matches a major computer-science habit: solve a smaller case correctly, then show how the larger case follows from it.

Computation itself can be modeled mathematically

The course's later units make a core CS point visible: automata, grammars, and modular arithmetic are not side topics but examples of how formal structures explain what computation can do.

Things to watch for

Memorizing proof templates without understanding when they fit

Before writing anything, identify the statement's shape: implication, universal claim, existence claim, recursive pattern, or relation property.

Reading notation too quickly

Slow down on quantifiers, set symbols, and relation properties; many mistakes come from misreading the claim before the math even starts.

Starting problem sets right before they are due

Because written proofs need revision, begin with one or two problems early, even if the first draft is rough, and use recitation or office hours to fix the structure.

Fall 2026 sections

7 open · Busch

SectionStatusInstructorMeetingCampus
0111515OpenHAMIDIMonday 12:10 PM-1:30 PM at HLL 114; Thursday 12:10 PM-1:30 PM at HLL 114; Tuesday 7:45 PM-8:40 PM at EN B120HLL 114EN B120Busch
0211516OpenHAMIDIMonday 12:10 PM-1:30 PM at HLL 114; Thursday 12:10 PM-1:30 PM at HLL 114; Tuesday 5:55 PM-6:50 PM at BME 102HLL 114BME 102Busch
0311517OpenHAMIDIMonday 12:10 PM-1:30 PM at HLL 114; Thursday 12:10 PM-1:30 PM at HLL 114; Wednesday 10:35 AM-11:30 AM at MU 213HLL 114MU 213Busch
0411518OpenHAMIDIMonday 12:10 PM-1:30 PM at HLL 114; Thursday 12:10 PM-1:30 PM at HLL 114; Wednesday 12:25 PM-1:20 PM at MU 210HLL 114MU 210Busch
0511519ClosedGavvaMonday 12:10 PM-1:30 PM at SEC 111; Thursday 12:10 PM-1:30 PM at SEC 111; Wednesday 10:35 AM-11:30 AM at MU 211SEC 111MU 211Busch
0611520ClosedGavvaMonday 12:10 PM-1:30 PM at SEC 111; Thursday 12:10 PM-1:30 PM at SEC 111; Wednesday 10:35 AM-11:30 AM at MU 210SEC 111MU 210Busch
0711521ClosedGavvaMonday 12:10 PM-1:30 PM at SEC 111; Thursday 12:10 PM-1:30 PM at SEC 111; Wednesday 12:25 PM-1:20 PM at CA A3SEC 111CA A3Busch
0811522ClosedGavvaMonday 12:10 PM-1:30 PM at SEC 111; Thursday 12:10 PM-1:30 PM at SEC 111; Wednesday 12:25 PM-1:20 PM at HH B5SEC 111HH B5Busch
1311523OpenSengupta, AkashWednesday 12:10 PM-1:30 PM at SEC 111; Friday 2:00 PM-3:20 PM at SEC 111; Friday 4:05 PM-5:00 PM at BE 252SEC 111BE 252Busch
1411524OpenSengupta, AkashWednesday 12:10 PM-1:30 PM at SEC 111; Friday 2:00 PM-3:20 PM at SEC 111; Friday 5:55 PM-6:50 PM at ARC 107SEC 111ARC 107Busch
1511525OpenSengupta, AkashWednesday 12:10 PM-1:30 PM at SEC 111; Friday 2:00 PM-3:20 PM at SEC 111; Thursday 5:55 PM-6:50 PM at TIL 232SEC 111TIL 232Busch
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale

SIRS teaching signals

Historical student surveys

Teaching

3.82

Course quality

3.67

Response rate

37.8%

Coverage

54 offerings · 2016–2025

InstructorOfferingsTeachingQuality
Gunawardena74.043.83
Minsky N42.202.40
Miranda A34.334.23
Saleh Babak34.174.23
Gao, Jie34.434.10
Cowan, Charles34.433.93

Course stats

Catalog and planning context

Credits

4

Current campuses

Busch

Current availability

7 open of 11

Catalog terms

Fall, Spring, Summer

Core codes

None listed

Loaded terms

5

Prerequisites

(01:198:111)<em> OR </em>(14:332:252)

Degree requirement lists

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

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