IU study guides, course by course
IU Bloomington's gateway courses run at flagship scale: huge lectures for the gen-ed giants, departmental common exams in the math service courses, and a Kelley School pipeline whose prerequisites (K201, A201, the econ pair) are graded seriously because I-Core admission rides on them. M118 and K201 are the two courses with genuine campus-wide folklore, each for ambushing students who expected a formality.
IU courses combine a department prefix, a letter, and a number (BUS-K 201, MATH-M 118, CSCI-C 211), but students almost always shorten them to the letter and number: K201, M118, C211. Kelley School of Business courses all carry the BUS prefix with letters by area (A for accounting, K for information systems, F for finance).
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Kelley School of Business
BUS-K 201: The Computer in Business
K201 is the famous Kelley course nearly every IU business student takes: hands-on Excel and Access skills plus information-systems concepts, recently refreshed to add data analysis and AI emphasis. It's an I-Core prerequisite, and a whole Bloomington tutoring economy exists because of it.
BUS-A 100: Basic Accounting Skills
A100 is Kelley's one-credit introduction to the accounting environment of the firm, a fast tour of financial, managerial, audit, and tax perspectives, required of all business majors as the gate into A201 and A202.
BUS-A 201: Introduction to Financial Accounting
A201 is Kelley's financial accounting course: the mechanics, measurement theory, and economic context of the financial statements. It's an I-Core prerequisite required of all business majors and a course whose grade Kelley admissions and recruiters actually look at.
BUS-A 202: Introduction to Managerial Accounting
A202 is Kelley's managerial accounting course: product costing, cost-volume-profit analysis, budgeting, and performance evaluation. It's the internal-decision-making counterpart to A201 and the other accounting prerequisite for I-Core.
Mathematics
MATH-M 118: Finite Mathematics
M118 is IU's famous finite math requirement: sets, counting, probability, random variables, matrices, and linear programming. Thousands of students take it each year across business, liberal arts, and pre-Kelley tracks, with departmental exams and decades of campus folklore.
MATH-M 119: Brief Survey of Calculus I
M119 is IU's applied calculus course for business and social-science students: derivatives, optimization, and basic integration with applied examples, no trigonometry. It's the standard calculus credit on the pre-Kelley path alongside M118.
MATH-M 211: Calculus I
M211 is IU's full first-semester calculus: limits, derivatives, applications of differentiation, and the definite integral. It's required for math, science, and many computing tracks, and a different animal from the applied M119 survey.
MATH-M 212: Calculus II
M212 continues IU's calculus sequence: integration techniques and applications, improper integrals, and sequences and series through Taylor series. It's widely considered the harder half of the pair.
Economics
ECON-E 201: Introduction to Microeconomics
E201 is IU's introductory microeconomics: supply and demand, elasticity, consumer and firm behavior, and market structures. It's a huge-enrollment course serving econ majors, the pre-Kelley pipeline, and gen-ed students in equal measure.
ECON-E 202: Introduction to Macroeconomics
E202 is the macroeconomics half of IU's intro pair: GDP, inflation, unemployment, aggregate demand and supply, and fiscal and monetary policy, delivered in large lectures with exams carrying the grade.
Statistics
Computer Science (Luddy)
CSCI-C 200: Introduction to Computers and Programming
C200 is IU's Python-based introduction to programming for students without prior experience: problem decomposition, control flow, functions, data structures, and applied projects. It's a common first step into Luddy's computing programs.
CSCI-C 211: Introduction to Computer Science
C211 is the first course in IU's CS-major sequence, famous for teaching systematic program design in a functional language (the Racket/Scheme tradition) rather than a mainstream industry language, a deliberate choice that levels the field and forces real design thinking.
CSCI-C 343: Data Structures
C343 is IU's data structures course: lists, stacks, queues, trees, hash tables, graphs, and the algorithms over them, with runtime analysis throughout. It's the implementation-heavy workhorse of the CS major's core.
Informatics (Luddy)
Chemistry
Biology
Psychological and Brain Sciences
English
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