Rutgers catalogResearched guideSIRS history16 section records

01:220:320

Intermediate Microeconomic Analysis

ECONOMICS

School 01 — New Brunswick School of Arts and Sciences
credits
3
Core
SOEHS
Typical seasons
Fall, Spring, Summer
Fall 2026 sections
4
Open snapshot
0 open in snapshot

Course guide

AI-generated overview

Course fingerprint 10 AI-generated signals

Difficulty

4/5
Why

Official sources make the course more rigorous than intro micro through calculus, and Rutgers student discussion repeatedly flags it as one of the tougher core econ classes.

Workload

4/5
Why

The sample syllabus includes 10 problem sets, two in-class exams, a policy one-pager, and a final, which points to sustained weekly work.

Pacing

4/5
Why

The course covers optimization, market structure, equilibrium, and market failure in one term, so students need to stay current as methods build on each other.

Projects

3/5
Why

Success depends heavily on recurring problem sets and also includes a short policy writing assignment, though it is not a capstone-project course.

Exams

4/5
Why

Two in-class exams plus a final account for most of the official sample syllabus grade.

Math

5/5
Why

Calculus is an explicit prerequisite and the syllabus says the added rigor comes in part through calculus-based analysis.

Memorization

2/5
Why

Student-perspective sources emphasize repeated problem formats and optimization logic more than pure memorization.

Abstraction

4/5
Why

The course formalizes households, firms, equilibrium, and welfare through model-based reasoning rather than mainly concrete case study work.

Prerequisites

5/5
Why

Students consistently say weak calculus preparation hurts, and Rutgers requires both intro micro and Calculus I before enrollment.

Reading

3/5
Why

The syllabus uses a full calculus-based textbook, but the heaviest burden appears to come from problem solving rather than unusually large reading assignments.

What students tend to say

Public Rutgers discussion tends to describe Intermediate Micro as one of the more math-forward economics core courses. The recurring advice is that the course is manageable when students keep up with attendance, worksheets, and calculus refreshers, but it becomes much harder when optimization methods are treated as something to cram at the last minute.

Calculus comfort matters more than in intro econ

Student threads repeatedly flag constrained optimization and Lagrange-style thinking as the point where the course becomes qualitatively different from introductory microeconomics.

Showing up is part of the class strategy

Several Rutgers threads mention attendance-linked quizzes, participation, or worksheet-based prep, so students often frame lecture presence as part of how you study rather than a separate chore.

Worksheets and repeated problem formats come up often

Professor-specific posts suggest that some sections test very directly from in-class worksheets or recurring problem types, which rewards steady practice more than passive rereading.

Difficulty feels professor-specific, but the math theme is consistent

Students disagree on exact workload and grading depending on instructor, yet the common thread is that micro is the more calculus-heavy member of the intermediate core.

Topic breakdown

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

5 modules

Module 1

Consumer choice and constrained optimization

The course usually opens by formalizing how consumers make choices under scarcity. Instead of stopping at intuitive demand curves, it pushes students into utility maximization, budget constraints, and comparative statics, which is where the calculus prerequisite starts to matter in a visible way.

utility maximizationbudget constraintsmarginal analysiscomparative staticsdemandcalculus-based reasoning

Basic concept overview

Optimization is the language of the course

A large share of the material can be read as one question: given a constraint, what choice maximizes an objective, and how does that choice change when the environment changes?

Competitive markets are a benchmark, not the only case

The course uses perfect competition to establish a clean baseline, then studies what changes when firms have market power, information is uneven, or externalities exist.

Equilibrium links separate decisions together

Household and firm behavior only becomes economic analysis once prices, quantities, and market-clearing conditions connect those decisions into one system.

Welfare analysis turns theory into policy

Ideas like efficiency, deadweight loss, and market failure matter because they let students evaluate taxes, regulation, and other interventions using the same framework.

Things to watch for

Treating the math as separate from the economics

Work every derivative or optimization step with an economic story attached: what is being maximized, what is constrained, and what changes when a parameter moves?

Memorizing graph shapes without knowing the mechanism

Explain why a curve slopes the way it does and what behavior or constraint produces that shape before you try to memorize the picture.

Waiting until exam week to relearn calculus

Refresh derivatives, partial derivatives, and constrained-choice methods early, then keep using them while the consumer and producer units unfold.

Jumping to welfare conclusions too quickly

Separate positive analysis from normative judgment: first identify the equilibrium effect, then ask how efficiency, surplus, or distribution changes.

Fall 2026 sections

0 open · College Avenue

SectionStatusInstructorMeetingCampus
0111732ClosedMACKENZIETuesday 10:20 AM-11:40 AM at MU 212; Friday 10:20 AM-11:40 AM at MU 212MU 212College Avenue
0211733ClosedBhuyanMonday 5:40 PM-7:00 PM at MU 212; Wednesday 5:40 PM-7:00 PM at MU 212MU 212College Avenue
0311734ClosedHUNT, JENNIFERMonday 12:10 PM-1:30 PM at FH A5; Thursday 12:10 PM-1:30 PM at FH A5FH A5College Avenue
0411735ClosedWU, BINGXIAOMonday 10:20 AM-11:40 AM at FH A6; Thursday 10:20 AM-11:40 AM at FH A6FH A6College Avenue
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale

SIRS teaching signals

Historical student surveys

Teaching

3.84

Course quality

3.83

Response rate

53.3%

Coverage

79 offerings · 2014–2025

InstructorOfferingsTeachingQuality
Hughes, Joseph143.043.22
Hunt, Jennifer93.513.48
Bhuyan64.554.47
Bhuyan Susan54.424.36
Okada, Daijiro54.204.02
Okada Daijiro44.434.33

Course stats

Catalog and planning context

Credits

3

Current campuses

College Avenue

Current availability

0 open of 4

Catalog terms

Fall, Spring, Summer

Core codes

SOEHS

Loaded terms

5

Prerequisites

((01:220:102 or 11:373:121 or 21:220:101) and (01:640:135)) <em> OR </em> ((01:220:102 or 11:373:121 or 21:220:101) and (01:640:151)) <em> OR </em> ((01:220:102 or 11:373:121 or 21:220:101) and (01:640:139)) <em> OR </em> ((01:220:102 or 11:373:121 or 21:220:101) and (01:640:130))

Degree requirement lists

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

Loading grade outcomes…

Related ECONOMICS courses