Many students see it as the least technical of the three core classes
A recurring Rutgers theme is that intermediate macro uses less math than micro or econometrics, even though it still expects careful reasoning with formal models.
01:220:321
ECONOMICS
AI-generated overview
Official sources position the class as an intermediate theory course, but Rutgers students often describe it as more manageable than intermediate micro or econometrics.
The sample syllabus uses six homework assignments and three exams, which suggests a meaningful but not extreme semester workload.
The course moves from preliminaries to growth, saving and investment, business cycles, and policy issues in one term, so the model sequence builds quickly.
The official syllabus emphasizes homework sets and exams rather than labs, term papers, or substantial project deliverables.
Three exams together account for 65% of the sample syllabus grade.
Calculus is required, but student discussion repeatedly says the course leans more on graphs and theory than on heavy computation.
Student-perspective sources stress understanding models and graph shifts more than memorizing definitions alone.
Income determination, growth, IS/LM, and stabilization policy are taught through broad macro models rather than mostly concrete procedural tasks.
Rutgers requires intro micro, intro macro, and calculus, and the course assumes students can already read core economic graphs and policy language.
The syllabus assigns a standard macro textbook and posted homework material, but the visible burden is more model practice than unusually heavy reading.
Public Rutgers discussion usually treats Intermediate Macro as more model-and-graph driven than math-heavy, especially compared with Intermediate Micro and Econometrics. Students still describe it as highly professor-specific, but the recurring theme is that keeping up with slides, practice problems, and graph interpretation matters more than advanced computation.
A recurring Rutgers theme is that intermediate macro uses less math than micro or econometrics, even though it still expects careful reasoning with formal models.
Macro-specific threads repeatedly advise students to understand the course graphs well, because assessments may ask you to draw or reason through them rather than only repeat definitions.
Students often describe grading style, homework structure, and perceived difficulty as very instructor-dependent, so section selection can change the feel of the course substantially.
Rutgers discussion suggests the course is very doable when paired with other economics requirements, but only if students stay current with the evolving model sequence instead of treating it like a memorization sprint at the end.
A practical chapter-by-chapter view from foundations to applications.
Module 1
The course usually starts by defining the objects macroeconomists track: aggregate output, prices, interest rates, and the broad logic of monetary economies. This opening section builds the vocabulary needed before policy models like IS/LM can make sense.
The course trains students to think about entire systems of output, prices, interest rates, and policy instead of one market at a time.
Growth theory asks how the economy's capacity changes over time, while stabilization analysis asks why output and prices move around that capacity.
Fiscal and monetary tools matter because they shift specific parts of a macroeconomic model, which then changes equilibrium output, prices, or interest rates.
In this course, a graph is rarely just a picture; it encodes assumptions, causal direction, and the answer to what changes after a shock.
Practice explaining what variables each graph relates, what holds constant, and what type of shock shifts each side.
Keep separate notes for growth, saving and investment, and business-cycle policy so you do not import the wrong assumptions into a problem.
Redraw the major diagrams from memory and label the mechanism behind every movement, not just the final direction.
Use the lighter computation load as room to focus harder on interpretation, sequencing, and how policy results depend on model assumptions.
0 open · College Avenue
| Section | Status | Instructor | Meeting | Campus |
|---|---|---|---|---|
| 0111737 | Closed | CAI, MICHAEL | Monday 5:40 PM-7:00 PM at FH A5; Wednesday 5:40 PM-7:00 PM at FH A5FH A5 | College Avenue |
| 0211738 | Closed | KAISER | Monday 2:00 PM-3:20 PM at FH A5; Wednesday 2:00 PM-3:20 PM at FH A5FH A5 | College Avenue |
| 0311739 | Closed | KAISER | Monday 3:50 PM-5:10 PM at MU 301; Wednesday 3:50 PM-5:10 PM at MU 301MU 301 | College Avenue |
| 0511741 | Closed | CAI, ZHIFENG | Monday 10:20 AM-11:40 AM at HH A7; Thursday 10:20 AM-11:40 AM at HH A7HH A7 | College Avenue |
Historical student surveys
Teaching
4.03
Course quality
4.01
Response rate
46.4%
Coverage
55 offerings · 2014–2025
| Instructor | Offerings | Teaching | Quality |
|---|---|---|---|
| Cai, Zhifeng | 11 | 4.03 | 3.97 |
| Li, Brandon | 6 | 4.78 | 4.75 |
| Keister Todd | 4 | 4.65 | 4.55 |
| Kaiser, Rosemary | 4 | 4.40 | 4.38 |
| Esquivel Alvarez, Carlos | 4 | 4.08 | 3.95 |
| Anzoategui, Diego | 3 | 4.23 | 4.00 |
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
(01:220:102 and 01:220:103 and 01:640:135 and 01:640:135) <em> OR </em> (01:220:102 and 01:220:103 and 01:640:151 and 01:640:151) <em> OR </em> (01:220:102 and 01:220:103 and 01:640:191 and 01:640:191) <em> OR </em> (11:373:121 and 01:220:103 and 01:640:135 and 01:640:135) <em> OR </em> (01:220:102 and 01:220:103 and 01:640:130 and 01:640:130) <em> OR </em> (11:373:121 and 01:220:103 and 01:640:130 and 01:640:130)
No direct degree-list membership appears in the checked-in requirement index.
01:220:321
ECONOMICS
AI-generated overview
Official sources position the class as an intermediate theory course, but Rutgers students often describe it as more manageable than intermediate micro or econometrics.
The sample syllabus uses six homework assignments and three exams, which suggests a meaningful but not extreme semester workload.
The course moves from preliminaries to growth, saving and investment, business cycles, and policy issues in one term, so the model sequence builds quickly.
The official syllabus emphasizes homework sets and exams rather than labs, term papers, or substantial project deliverables.
Three exams together account for 65% of the sample syllabus grade.
Calculus is required, but student discussion repeatedly says the course leans more on graphs and theory than on heavy computation.
Student-perspective sources stress understanding models and graph shifts more than memorizing definitions alone.
Income determination, growth, IS/LM, and stabilization policy are taught through broad macro models rather than mostly concrete procedural tasks.
Rutgers requires intro micro, intro macro, and calculus, and the course assumes students can already read core economic graphs and policy language.
The syllabus assigns a standard macro textbook and posted homework material, but the visible burden is more model practice than unusually heavy reading.
Public Rutgers discussion usually treats Intermediate Macro as more model-and-graph driven than math-heavy, especially compared with Intermediate Micro and Econometrics. Students still describe it as highly professor-specific, but the recurring theme is that keeping up with slides, practice problems, and graph interpretation matters more than advanced computation.
A recurring Rutgers theme is that intermediate macro uses less math than micro or econometrics, even though it still expects careful reasoning with formal models.
Macro-specific threads repeatedly advise students to understand the course graphs well, because assessments may ask you to draw or reason through them rather than only repeat definitions.
Students often describe grading style, homework structure, and perceived difficulty as very instructor-dependent, so section selection can change the feel of the course substantially.
Rutgers discussion suggests the course is very doable when paired with other economics requirements, but only if students stay current with the evolving model sequence instead of treating it like a memorization sprint at the end.
A practical chapter-by-chapter view from foundations to applications.
Module 1
The course usually starts by defining the objects macroeconomists track: aggregate output, prices, interest rates, and the broad logic of monetary economies. This opening section builds the vocabulary needed before policy models like IS/LM can make sense.
The course trains students to think about entire systems of output, prices, interest rates, and policy instead of one market at a time.
Growth theory asks how the economy's capacity changes over time, while stabilization analysis asks why output and prices move around that capacity.
Fiscal and monetary tools matter because they shift specific parts of a macroeconomic model, which then changes equilibrium output, prices, or interest rates.
In this course, a graph is rarely just a picture; it encodes assumptions, causal direction, and the answer to what changes after a shock.
Practice explaining what variables each graph relates, what holds constant, and what type of shock shifts each side.
Keep separate notes for growth, saving and investment, and business-cycle policy so you do not import the wrong assumptions into a problem.
Redraw the major diagrams from memory and label the mechanism behind every movement, not just the final direction.
Use the lighter computation load as room to focus harder on interpretation, sequencing, and how policy results depend on model assumptions.
0 open · College Avenue
| Section | Status | Instructor | Meeting | Campus |
|---|---|---|---|---|
| 0111737 | Closed | CAI, MICHAEL | Monday 5:40 PM-7:00 PM at FH A5; Wednesday 5:40 PM-7:00 PM at FH A5FH A5 | College Avenue |
| 0211738 | Closed | KAISER | Monday 2:00 PM-3:20 PM at FH A5; Wednesday 2:00 PM-3:20 PM at FH A5FH A5 | College Avenue |
| 0311739 | Closed | KAISER | Monday 3:50 PM-5:10 PM at MU 301; Wednesday 3:50 PM-5:10 PM at MU 301MU 301 | College Avenue |
| 0511741 | Closed | CAI, ZHIFENG | Monday 10:20 AM-11:40 AM at HH A7; Thursday 10:20 AM-11:40 AM at HH A7HH A7 | College Avenue |
Historical student surveys
Teaching
4.03
Course quality
4.01
Response rate
46.4%
Coverage
55 offerings · 2014–2025
| Instructor | Offerings | Teaching | Quality |
|---|---|---|---|
| Cai, Zhifeng | 11 | 4.03 | 3.97 |
| Li, Brandon | 6 | 4.78 | 4.75 |
| Keister Todd | 4 | 4.65 | 4.55 |
| Kaiser, Rosemary | 4 | 4.40 | 4.38 |
| Esquivel Alvarez, Carlos | 4 | 4.08 | 3.95 |
| Anzoategui, Diego | 3 | 4.23 | 4.00 |
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
(01:220:102 and 01:220:103 and 01:640:135 and 01:640:135) <em> OR </em> (01:220:102 and 01:220:103 and 01:640:151 and 01:640:151) <em> OR </em> (01:220:102 and 01:220:103 and 01:640:191 and 01:640:191) <em> OR </em> (11:373:121 and 01:220:103 and 01:640:135 and 01:640:135) <em> OR </em> (01:220:102 and 01:220:103 and 01:640:130 and 01:640:130) <em> OR </em> (11:373:121 and 01:220:103 and 01:640:130 and 01:640:130)
No direct degree-list membership appears in the checked-in requirement index.