PAU Applied Math ACS II (Aragón) study materials
PAU Applied Math ACS II (Aragón) study resources

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

Week 1

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

Week 2

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

Week 3

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

Week 4

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

Week 5

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

Week 6

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

Week 7

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

Week 8

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