Quizzes

Interactive, ungraded self-checks that build and confirm your understanding each week.

Self-checks are short, interactive, and ungraded: nothing is submitted and you can retry as often as you like. Each content week has one before class to build the fundamentals and one after class to confirm what you learned, both on the week’s lesson page. Week 1 is the exception: Monday collects nothing, so its first check opens Wednesday’s session in the room rather than sitting in Before the week. Week 16 keeps its two recap checks even though its sessions are given over to presentations.

The after-class checks are also your checkpoint revision. Six times in the term the in-class checkpoints draw their questions from these, exactly as written, alongside questions from the weekly take-homes. Nothing here is a secret and nothing on a checkpoint is new: retrying these until they are easy is the preparation.

Pick an answer for instant feedback and an explanation. Your progress is saved in your browser only, nothing leaves your device. Math renders automatically, e.g. \(E[X] = \sum_i x_i p_i\).

Themes by week

Wk Before-class check After-class check
1 algebra, roots & a first break-even models, break-even, functions & summation
2 probability basics probability rules & expected value
3 reading a payoff table, max & min environments, dominance, and all five criteria
4 weighted averages & a single expected value EV, EOL & EVPI
5 expected value review criteria, trees & value of information
6 conditional probability, priors & posteriors Bayes, EVSI, efficiency & utility
7 lines, inequalities & legal LPs formulating, reading a graph, slack & minimization
8 parts of an LP feasibility, Solver & reading the Answer Report
9 binding constraints & reading a corner objective ranges, shadow prices & the Solver report
10 supply, demand & cost matrices transportation, assignment & whole-number decisions
11 weighted averages & comparing scores weighted scoring, AHP, sensitivity & goal programming
12 precedence, slack & adding times CPM forward/backward pass, slack & PERT
13 averages & reading a time series moving averages, smoothing & forecast error
15 lines, slopes & why averages lag trend, season, fit & regression
16 cumulative method recall choose, calculate, and interpret

Try it: Week 1 before-class check

Ready for more? Head to the schedule and open this week’s page.