AskSia US · University
USUW–MadisonAce your University of Wisconsin–Madison courses.
Free, exam-focused study guides for University of Wisconsin–Madison. See exactly what each course covers, where the marks are, and how to pass — then practise with an AI tutor that knows your course. No fluff, no paywall to read.
19 courses
UW–Madison · The Profile ranking & coverage · 2026
US News
2026
real courses, exam-focused ✦
University standingUS News 2026
AAUAAU public research university (Big Ten)✓
19courses on AskSia✓
University of Wisconsin–Madison · 19 guides · Business & Economics, Information Technology, Mathematics, Science, Health
Every AskSia guide for University of Wisconsin–Madison is built around the exam. For each course you get a clear breakdown of what it covers, how it's assessed, the topics most likely to be tested, and a concrete plan for how to pass — plus a worked example you can practise with an AI tutor that knows the course. AskSia currently covers 19 UW–Madison courses across Business & Economics, Information Technology, Mathematics, Science, Health, and we add more over time. The guides are free to read; your student email unlocks the tutor.
§1 · Courses
Guides across US schools.
Every course below has a live AskSia guide. Grouped by area, aggregated across universities.
Business & EconomicsBusiness & Economics courses at UW–Madison.
ECON1012.9 · Moderate
Principles of Microeconomics
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's principles of microeconomics course: Individuals and firms, markets and prices, then market structure and the distribution of
ECON1023.0 · Moderate
Principles of Macroeconomics
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's principles of macroeconomics course: ~35% measurement of aggregate variables / 35% aggregate demand and supply / 30% policy an
ECON3013.6 · Moderate to hard
Intermediate Microeconomic Theory
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's intermediate microeconomic theory course: ~35% consumer theory / 30% production and cost / 35% pricing, market structure and a
ECON3023.6 · Moderate to hard
Intermediate Macroeconomic Theory
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's intermediate macroeconomic theory course: ~40% national income determination and the aggregates / 30% employment, inflation an
ECON3103.5 · Moderate to hard
Statistics: Measurement in Economics
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's statistics: measurement in economics course: ~35% probability and distributions / 30% estimation / 35% hypothesis testing and…
ECON4002.8 · Moderate
Introduction to Applied Econometrics
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's course Introduction to Applied Econometrics, assessed approximately 64% by exams.
ECON4103.1 · Moderate
Introductory Econometrics
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's course Introductory Econometrics, assessed approximately 72% by exams.
STAT3012.9 · Moderate
Introduction to Statistical Methods
University of Wisconsin–Madison · Intermediate
University of Wisconsin-Madison's course Introduction to Statistical Methods, assessed approximately 90% by exams.
STAT3712.9 · Moderate
Introductory Applied Statistics for the Life Sciences
University of Wisconsin–Madison · Intermediate
University of Wisconsin-Madison's course Introductory Applied Statistics for the Life Sciences, assessed approximately 76.0% by exams.
Information TechnologyInformation Technology courses at UW–Madison.
CS2003.0 · Moderate
Programming I
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's programming i course: ~40% language fundamentals and control flow / 35% methods, arrays and lists / 25% file I/O, testing and
CS2203.1 · Moderate
Data Science Programming I
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's data science programming i course: ~40% Python fundamentals / 35% working with real tabular data / 25% modelling and communica
CS3003.7 · Hard
Programming II
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's programming ii course: ~40% object-oriented design and implementation / 40% abstract data types and their implementations / 20
CS4003.8 · Hard
Programming III
University of Wisconsin–Madison · Undergraduate
University of Wisconsin-Madison's programming iii course: ~45% data structures: balanced trees, hashing, sets / 35% graphs and graph algorithms / 20% software p
STAT4053.1 · Moderate
Data Science Computing Project
University of Wisconsin–Madison · Undergraduate (405) / cross-listed graduate (605)
University of Wisconsin-Madison's course Data Science Computing Project, assessed approximately 50% by exams.
STAT4513.0 · Moderate
Introduction to Machine Learning and Statistical Pattern Classification
University of Wisconsin–Madison · Advanced
University of Wisconsin-Madison's course Introduction to Machine Learning and Statistical Pattern Classification, assessed approximately 43.75% by exams.
MathematicsMathematics courses at UW–Madison.
ScienceScience courses at UW–Madison.
GEOSCI3312.5 · Moderate
Gems: The Science Behind the Sparkle
University of Wisconsin–Madison · Undergraduate
GEOSCI 331 makes earth science tangible through gems: it connects a stone's sparkle and colour to the mineralogy, crystal structure and optics behind it — real
PLPATH3112.7 · Moderate
Global Food Security
University of Wisconsin–Madison · Undergraduate
PLPATH 311 is the food-security systems course: it connects the biology of food production, environmental threats, and the economics and policy of feeding a gro
HealthHealth courses at UW–Madison.
§2 · What's in every guide
How the UW–Madison guides actually help.
Every guide is built around the exam, for the specific course.
01
What the course covers
A plain-English map of the syllabus and how the pieces connect — so you know what you're walking into before week one.
02
Where the marks are
The assessment broken down: what's weighted, what's tested most, and where the easy and hard marks sit. Where a school doesn't publish an exact breakdown, we show the standard structure and tell you to confirm it on your current syllabus.
03
How to pass
A concrete weekly rhythm, the common mistakes that cost marks, and a final-exam checklist — written for the specific course, not generic advice.
04
Practise with an AI tutor
Each guide comes with a worked example and an AI tutor that knows the course, so you can practise the exact reasoning the exam rewards.
§3 · Why AskSia
Built for the students other tutors miss.
Why students use AskSia for UW–Madison courses.
01
Built around the exam
Each guide breaks down the assessment, the topics most likely to be tested, and how to pass.
02
Honest about assessment
Where the exact grade breakdown isn't public, we show the standard structure and tell you to confirm on your syllabus — never invented percentages.
03
An AI tutor, not a PDF dump
Practise with Sia using worked examples grounded in the real course canon.
§4 · FAQ
Students ask us.
What courses at UW–Madison are on AskSia?
AskSia currently has guides for CS200 (Programming I), CS220 (Data Science Programming I), CS240 (Introduction to Discrete Mathematics), CS300 (Programming II), CS400 (Programming III), ECON101 (Principles of Microeconomics), ECON102 (Principles of Macroeconomics), ECON301 (Intermediate Microeconomic Theory), ECON302 (Intermediate Macroeconomic Theory), ECON310 (Statistics: Measurement in Economics), ECON400 (Introduction to Applied Econometrics), ECON410 (Introductory Econometrics), GEOSCI331 (Gems: The Science Behind the Sparkle), NUTRSCI203 (Introduction to Global Health), PLPATH311 (Global Food Security), STAT301 (Introduction to Statistical Methods), STAT371 (Introductory Applied Statistics for the Life Sciences), STAT405 (Data Science Computing Project), STAT451 (Introduction to Machine Learning and Statistical Pattern Classification) at University of Wisconsin–Madison. More are added over time.
How is assessment shown?
US course catalogues generally don't publish exact grade breakdowns, so each guide shows the standard assessment structure for that course type and directs you to confirm the exact percentages on your current syllabus. AskSia never invents grade weights and never uses third-party study-site data.
Are the guides free?
Yes. The course guides are free to read; sign in with your student email to practise with the AI tutor.
How should I use the AskSia guide for my UW–Madison course?
Start with the overview to see what the course covers and how it's assessed, then use the 'how to pass' section to build a weekly study rhythm. Before the exam, work through the practice questions with the AI tutor. The guide is designed to be read alongside your current UW–Madison course materials, not to replace them — always confirm current assessment details on your current syllabus.
Your student email unlocks all of it.
Start free with your university student email.
Start studying with Sia →Disclaimer · Methodology · Takedown
AskSia study guides are independent study aids built from public course information and standard discipline canon; university names and course codes are used for identification purposes only. AskSia is not affiliated with, endorsed by, or sponsored by any university. Always confirm current details on your current course syllabus. To request a takedown, email takedowns@asksia.ai — we respond within 48 hours. Methodology →
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