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Cumulative Review: Semesters 0–1

Budget 4–6 focused hours including correction. This is preparation for the independent exam, not another 50-question assessment. Draw on the launchpad's study/environment habits, Semester 0 code tracing, and Semester 1 mathematics.

Retrieval taskEvidence to produceCheck or repair route
Negate a quantified API requirementDomain and counterexampleModule 1 assessment key
Count labelled versus unlabelled assignmentsExplicit equivalence relationModule 2 counting contracts
Audit a hash-bucket claimDependence and deterministic boundsE05 after your attempt
Interpret a confidence intervalModel, coverage and dependence caveatModule 3 assessment
Separate residual from solution errorA two-coordinate numerical exampleModule 4 numerical experiments
Read duplicate-sensitive search codeTrace, actual behavior and intended contractModule 5 P15
Connect graph counts to matricesTriangle witness and trace calculationProject fixture
Reproduce without the original sessionEnvironment and command logSemester 0 environment habits

First work from memory; then check the linked module or key. For each missed task, write the exact missing assumption and solve a changed case. Reuse an existing valid artifact when it already answers the question; no copying quota.

Transfer before the exam​

Explain how a proof obligation changes an implementation decision, how a data model changes a counting formula, and how a stopping rule changes an uncertainty claim. Record the two weakest areas and allocate repair time before the exam. Completion of this review alone does not pass the checkpoint.

Integer arithmetic evidence​

Include the integer module gates and reuse the cycle audit. Recheck one signed Bezout certificate, one invalid cancellation and one complete solution list on a changed case. Explain the difference between logarithmic arithmetic-operation counts, bit cost and time proportional to the number of returned solutions.

Calculus evidence​

Reuse the calculus audit and its delayed check. On changed cases, normalize a density, defend a constrained optimum, and separate a tail bound from quadrature error. Explain why numerical convergence alone does not prove a limit or continuity.

Probability inference retrieval​

On changed cases, derive a transformed CDF, write a likelihood with units, update a stated prior using only new observations, and justify the permitted randomizations. Reuse the PS9–PS12 delayed checks. Explain why exact arithmetic cannot establish a valid sampling design.