0 · Exam MapCOURSE · BRIEF
Quizzes 10% · Assignment 1 10% · Mid-semester test 15% · Assignment 2 25% · Final assessment 40%
Permitted materials: not confirmed for this offering in the course materials we hold — check the exam instructions on the LMS.
| Threshold | Where | Consequence |
|---|---|---|
| 45% | Final assessment | Failed hurdle: NH; maximum unit mark 45 |
| 45% | In-semester total | |
| 50% | Overall unit mark | Required to pass |
The final is an examination-period assessment. Operational details remain controlled by the current institutional instructions.
1 · Universal Answer PathCOURSE STRATEGY
| Prompt signal | First move | Last check |
|---|---|---|
| Collection / overlap | Name sets and universe | Disjointness, finiteness |
| Mapping / relation | State domain and codomain | Definition for arbitrary elements |
| “For every” claim | Choose proof structure | Boundary or counterexample |
| Counting / chance | Declare outcomes | Order, repetition, conditioning |
| Network | Declare graph convention | Directedness, loops, weights |
What a complete line earns
Definition: identify the object and its declared universe or domain. Translation: separate quantities supplied by the prompt from quantities derived. Operation: write the rule before substituting. Justification: preserve direction, indices and conditions line by line. Stress-test: try the boundary, negation or a counterexample. Interpretation: answer in the language of the prompt, not merely with a symbol or number.
The final rewards the same transferable discipline across topics: declare → translate → choose → justify → test → conclude. If a later line fails, repair the first unsupported move rather than copying a complete solution.
Exam cue Marks are lost when natural language, symbols and proof drift apart. Definitions do the checking.
2 · Sets & Inclusion–ExclusionC1
Set: well-defined collection of distinct objects. Subset: every element of one set belongs to another. Power set: all subsets, including ∅ and the set itself.
Two-set inclusion–exclusion|A ∪ B| = |A| + |B| − |A ∩ B|
Subtract the intersection once: it was counted in both cardinalities.
| Task | Write | Check |
|---|---|---|
| Translate | Universe; membership; named sets | Every element is eligible |
| Operate | ∪, ∩, subset relation | Overlap counted once |
| Refute | One valid counterexample | State corrected condition |
Control the universe, finiteness and disjointness assumptions. A numerical answer without those conditions can invoke the wrong counting identity.
3 · Functions & RelationsC2
Function: each domain element is assigned exactly one codomain element. Injective: distinct domain inputs map to distinct outputs. The declared domain and codomain control injectivity and surjectivity.
Composition(g ∘ f)(x) = g(f(x))
Apply f first, then g; the intermediate codomain/domain must be compatible.
An equivalence relation is reflexive, symmetric and transitive; therefore it partitions a set. To earn the conclusion, check all three laws for arbitrary eligible elements—not only examples.
| Property | Definition-led test |
|---|---|
| Function | Every domain input receives exactly one codomain output. |
| Injective | Distinct domain inputs must have distinct outputs. |
| Reflexive | Each eligible element is related to itself. |
| Symmetric | Reverse every related pair. |
| Transitive | Chain two related pairs through the middle element. |
4 · Pick the Proof MethodC3
| Method | Use when | Non-negotiable |
|---|---|---|
| Direct | Definitions turn assumptions into conclusion | Name the final definition |
| Contrapositive | ¬Q gives a cleaner route to ¬P | It is equivalent to P → Q |
| Contradiction | Negating the claim exposes an impossibility | Identify the contradiction |
| Induction | Universal statement indexed by successive integers | Base + hypothesis + step |
Induction checkpointBase: verify P(first index).
Hypothesis: assume P(k) for an arbitrary eligible k.
Step: use that assumption to prove P(k+1).
Conclusion: the stated range follows.
P(k) ⇒ P(k+1) is not enough alone. Checking several cases, asserting the hypothesis, or restating the target does not prove a universal statement.
Induction line-by-line
Write the first eligible index and verify it. State the induction hypothesis exactly, including its range. In the step, begin with the P(k+1) expression and show where P(k) is used; do not assume the line being proved. Finish by stating that the base case and implication cover the declared range.
| Failure | Why it fails |
|---|---|
| Checks k=1,2,3 only | Finite evidence is not a universal proof. |
| Assumes P(k+1) | The target has been smuggled into the premise. |
| Algebra ends without definition | The conclusion is not connected back to the claim. |
5 · Proof Quality AuditC3 FAQ
| Audit | Question to ask |
|---|---|
| Domain | Are all variables and eligible values declared? |
| Direction | Did I prove the requested implication, not its converse? |
| Generality | Are the elements arbitrary rather than hand-picked? |
| Dependency | Does each line follow from a definition, assumption or established result? |
6 · Propositional LogicC4
Proposition: a declarative statement assigned a truth value. Logical equivalence: expressions match under every valuation. Normal form: a standardised form such as conjunctive or disjunctive normal form.
Implication eliminationp → q ≡ ¬p ∨ q
The implication is false only when p is true and q is false.
| p | q | p → q | ¬p ∨ q |
|---|---|---|---|
| T | T | T | T |
| T | F | F | F |
| F | T | T | T |
| F | F | T | T |
Do not swap implication, converse and biconditional. Their truth conditions differ even if the same propositions appear.
7 · Predicates & QuantifiersC5
Predicate: an open statement whose truth depends on variables from a declared domain. ∀ claims every object; ∃ claims at least one object.
Quantifier negation¬∀x P(x) ≡ ∃x ¬P(x)
A universal claim fails exactly when a counterexample exists in the declared domain.
Moving or swapping quantifiers can change meaning even when the same predicates appear. Write the domain beside the first translation.
| Read | Write / test |
|---|---|
| “Every object has…” | Start with ∀ over the declared object domain. |
| “There exists…” | Start with ∃; one valid witness establishes it. |
| “Not every…” | Use ∃ and negate the predicate; seek a counterexample. |
| Nested claim | Keep the original order until negation switches each quantifier. |
8 · Sequences & SeriesC6
Sequence: a function from an ordered integer index set to values. A recurrence relation defines terms from earlier terms plus initial conditions. A geometric series has a constant ratio.
Finite geometric sumΣ from i=0 to n−1 of arⁱ = a(1−rⁿ)/(1−r)
| Before summing | State explicitly |
|---|---|
| Index range | First and last exponent; number of terms |
| Geometric structure | First term a; common ratio r |
| Recurrence | Initial value(s) and valid index |
| Audit | Generate early terms and compare |
Count terms separately from reading the largest exponent. Off-by-one indexing or a missing initial value defines a different sequence.
Fast verification: expand the first two or three terms from the stated index and compare them with the prompt. For a recurrence, confirm every required initial condition before generating a later term. For a geometric sum, identify a, r and n independently; only then substitute.
9 · Combinatorial CountingC7
The multiplication principle multiplies options at sequential independent stages. A permutation is ordered; a combination is an unordered selection of fixed size.
CombinationC(n,k) = n!/[k!(n−k)!]
Then ask: repetition? exclusions? overlap? Never divide or multiply by factorials without identifying the symmetry; that is the source’s stated over-/under-counting trap.
| Counting audit | Question |
|---|---|
| Outcome | What exactly counts as one distinct result? |
10 · Number TheoryC8
Divisibility: a divides b when b = ak for some integer k. The greatest common divisor is the largest positive integer dividing both. Congruence: equal integer remainders modulo a positive modulus.
Euclidean recurrencegcd(a,b) = gcd(b, a mod b)
Repeat until remainder 0; take the last non-zero remainder.
Modular cancellation is conditional. Division and cancellation rules over integers do not always transfer unchanged modulo composite numbers.
11 · Discrete ProbabilityC9
Sample space: all outcomes in the model. Conditional probability: restrict attention to cases where another event occurs. Independence: learning one event does not change the probability of the other.
Bayes’ ruleP(A | B) = P(B | A)P(A) / P(B)
| Do not confuse | Definition check |
|---|---|
| Disjoint | Cannot occur together |
| Independent | One does not change the other’s probability |
| P(A|B) vs P(B|A) | The restricted population reverses |
12 · Graphs & TreesC10
A graph is vertices plus edges under a stated convention. A path obeys its movement rules. A tree is connected and acyclic; equivalently, every vertex pair has a unique simple path.