PAU Applied Math ACS II (Aragón) study plan
PAU Applied Math ACS II (Aragón) · Give each week a clear focus.
8 weeks · About 7 hours per week
Matrices and systems of linear equations
Compute determinants of 2×2, 3×3 and 4×4 matrices by cofactor expansion and by row reduction to triangular form, and state which method is faster for each case
Classify a square matrix as regular or singular from its determinant and justify the conclusion in one written sentence
Find the inverse of a 3×3 matrix using the adjoint method and verify the result by multiplying A·A⁻¹
Determine the rank of a parameter-dependent matrix by Gaussian elimination, identifying the values of the parameter that change the rank
Your checkpoint
A one-page summary sheet with 12 solved exercises (3 determinants, 3 inverses, 3 ranks, 3 parameter discussions) checked against the answer key, with every error corrected in a different colour
Matrices and systems of linear equations
Solve square systems by Cramer's rule and by matrix inversion, and compare the two results for consistency
Apply Rouché–Fröbenius to classify a system as incompatible, compatible determined or compatible indeterminate
Solve compatible indeterminate systems by Gaussian elimination and express the solution set with a free parameter
Discuss a system whose coefficients depend on a real parameter, stating for which parameter values each case occurs
Write the matrix equation of a system and interpret the solution set geometrically as intersection of planes or lines
Your checkpoint
A timed 90-minute mock section of Domain 1 (matrices, determinants, systems) scored out of 10, with a written list of the three error types that cost the most marks
Linear programming
Formulate a linear programming problem from a word problem: define decision variables, write the objective function and all constraints including non-negativity
Graph the feasible region for two-variable problems and identify vertices algebraically by solving pairs of binding constraints
Evaluate the objective function at every vertex and state the optimal solution with its value
Detect unbounded and infeasible regions and explain in writing why no finite optimum exists in each case
Convert a standard maximisation problem to the slack-variable form used by the simplex tableau
Your checkpoint
A portfolio of 8 fully formulated and solved word problems, each with variables defined, region sketched, vertices computed and the optimum interpreted in the context of the statement
Linear programming & Matrices and systems of linear equations
Solve maximisation problems with the simplex method, performing pivot operations correctly and reading the optimum from the final tableau
Interpret the dual of a minimisation problem and solve it, checking that the optimal value matches the primal
Identify integer-programming-style constraints in a statement (whole units, indivisible items) and round or adjust the continuous solution appropriately
Re-solve two Domain 1 system problems under exam time pressure to confirm retention
Your checkpoint
A full mock exam covering Domains 1 and 2 under 2-hour timed conditions, self-marked against a rubric, with a score recorded and every lost mark traced to a specific skill gap
Limits, continuity and differentiation
Compute limits of rational, irrational and exponential functions at a point and at infinity, resolving 0/0 and ∞/∞ indeterminacies by factoring, conjugates and L'Hôpital's rule
Apply the definition of continuity at a point and classify discontinuities as removable, jump or essential
Determine the value of a parameter that makes a piecewise function continuous at the join point
Compute derivatives using the product, quotient and chain rules, and differentiate implicit and logarithmic functions
Find the equation of the tangent line to a curve at a given point
Your checkpoint
A formula-and-technique card plus 20 solved limit and continuity exercises, of which at least 5 involve a parameter, all verified against a key
Limits, continuity and differentiation & Integration and areas
Locate and classify critical points using the first and second derivative tests, and identify intervals of increase, decrease and concavity
State and apply the hypotheses of Rolle's theorem and the mean value theorem to a given function on a given interval
Solve optimisation word problems by building the objective function from the constraint and checking the endpoint and boundary cases
Compute definite integrals using Barrow's rule and apply integration by parts and by substitution
Calculate the area between two curves, finding the intersection points first and splitting the integral where the curves cross
Your checkpoint
A written solutions set of 10 problems (4 optimisation or analysis of a function, 6 integration and areas) with graphs sketched by hand and every step justified, marked against a self-made rubric
Probability & Integration and areas
Apply the addition and multiplication rules, conditional probability and independence to multi-stage experiments, using tree diagrams or contingency tables
Apply Bayes' theorem to reverse a conditional probability and interpret the result in context
Model a discrete random variable with its probability function, compute the mean and variance, and recognise the binomial setting
Use the normal distribution with standardisation and read probabilities from the table, including the inverse problem of finding a value from a given probability
Re-do two area problems from week 6 to confirm the integration techniques are retained
Your checkpoint
A 10-problem probability set solved in 75 minutes, including at least two Bayes problems and two normal-distribution problems, with a tree diagram or table drawn for each conditional-probability item
Statistical inference & Probability & Limits, continuity and differentiation
Distinguish population and sample, and identify the sampling distribution of the sample mean and its standard error
Construct a confidence interval for the mean with known or large-sample standard deviation and state the meaning of the confidence level
Carry out a one- and two-tailed hypothesis test for the mean, stating the null and alternative hypotheses, the statistic, the critical region and the conclusion in context
Compute and interpret the p-value and relate it to the significance level
Complete two full past-paper-style exams under timing and review every error against the domain weighting
Your checkpoint
Two complete timed mock exams (2 hours each) covering all six domains, with a final error log, a score per domain and a one-page revision sheet of the formulas most often misapplied
Milestones
Week 2: Solve a 3×3 parameter-dependent system unaided in under 20 minutes and correctly classify all cases with Rouché–Fröbenius
Week 4: Score at least 60% on the combined Domains 1–2 mock exam, with no more than one arithmetic slip in determinants or simplex pivots
Week 6: Correctly classify the critical points and compute the area between two curves on at least 4 of 5 problems without consulting notes
Week 8: Score at least 65% on each full mock exam and show a lower error rate in Domains 1 and 2 than in the week-4 mock