Berkeley ECON 1: Introduction to Economics
ECON 1 is Berkeley's introductory economics course, surveying both micro and macro: supply and demand, market structures, externalities, GDP, inflation, and monetary policy. It's one of the largest courses on campus and the entry requirement for the famously competitive economics major.
Fennie is independent and not affiliated with UC Berkeley. This is an unofficial study guide.
What makes it hard
Because the econ major has GPA-based admission, the curve in ECON 1 carries real stakes and the exam competition reflects it. The questions are multiple-choice and short-answer that require manipulating models quickly; covering micro and macro in one semester also means the pace never slackens.
What you'll cover
- • Supply, demand, and market equilibrium
- • Elasticity and consumer choice
- • Market structures and competition
- • Externalities and public goods
- • GDP, unemployment, and inflation
- • Fiscal and monetary policy
The ECON 1 study guide
How to study for Berkeley ECON 1, step by step.
- 1
Keep micro alive while macro piles on
ECON 1 covers both halves in one semester, and the final assumes the micro models stayed sharp. Build a short weekly review of earlier material into your routine from the start.
- 2
Drill graphs until manipulation is automatic
What shifts which curve, what moves along it, and what happens to equilibrium: that mechanical fluency is the actual graded skill. Sketch scenarios daily rather than rereading chapter summaries.
- 3
Practice timed multiple-choice in exam-sized blocks
The curve is competitive because econ-major hopefuls need these grades, and speed under pressure is what separates the distribution. Past exams and section problems beat the problem sets as difficulty predictors.
- 4
Use discussion sections as your weekly checkpoint
Section problems are typically closer to exam style than lecture examples. Attempt them cold before section, then use the GSI's walkthrough to patch the gaps you found.
Today
Today's ECON 1 plan
What a Fennie Daily Plan looks like for ECON 1. Yours is built from your own syllabus and adapts every day to your deadlines and progress.
First plan free, no card required. Fennie is independent and unaffiliated with your school.
FAQ
Is ECON 1 hard at Berkeley?
The content is introductory, but the curve is competitive because economics-major hopefuls need strong grades to declare. Exams reward quick model manipulation, so the gap between understanding lecture and performing under time pressure is where grades separate.
Do I need ECON 1 to declare the economics major?
Yes. ECON 1 (or ECON 2) is a prerequisite, and the major requires a qualifying GPA across prerequisite courses to declare. That GPA bar is why the intro courses feel as competitive as they do.
How should I study for ECON 1 exams?
Drill graph problems until shifting curves is automatic, then practice timed multiple-choice sets. Past exams and section problems are better predictors of exam difficulty than the problem sets alone.
More Berkeley courses
CS 61A: The Structure and Interpretation of Computer Programs
CS 61A is Berkeley's legendary intro CS course, taught primarily in Python with excursions into Scheme and SQL. It emphasizes abstraction (higher-order functions, recursion, object-oriented programming, and interpreters) and it's the first course in the CS 61 series that every CS and Data Science student takes.
CS 61B: Data Structures
CS 61B is Berkeley's data structures course, taught in Java, covering lists, trees, hashing, graphs, sorting, and asymptotic analysis. It's the second course in the 61 series and the one most cited in industry-interview prep. Its projects, including the famous build-your-own-world and Gitlet (build a mini Git), are substantial software engineering exercises.
CS 70: Discrete Mathematics and Probability Theory
CS 70 is Berkeley's discrete math and probability course, required for the CS major, covering proofs, graph theory, modular arithmetic, RSA, polynomials, counting, and a substantial probability unit. It's the theory gateway and, by reputation, the hardest lower-division course in the major.
DATA 8: Foundations of Data Science
DATA 8 is Berkeley's intro data science course and one of the largest courses on campus, combining Python programming, statistical inference, and prediction with real datasets in Jupyter notebooks. It assumes no prior programming or statistics and anchors the Data Science major.