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Midterm 1
MATM111
36 cards
Cards (60)
MATHEMATICS
– It is formal system thought for recognizing, clarifying, and exploiting of patterns.
MATH IS ABOUT
Numbers
,
Symbols
,
Notations
Operations
,
Equations
,
Functions
Process
and
thingification
of
processes
WHERE IS MATH?
Math is
every where
MATH IS FOR…
To help us
unravel the puzzle of nature
, a useful way
to think about nature
Organize
patterns
and
regularities
as well as
irregularities
To help us
control
weather
and
epidemics
Provides
new
questions
to think about
MATHEMATICS IS DONE…
With
Curiosity
With
eagerness for seeking patterns
and
generalizations
With desire to
know
the
truth
With
trial
and
error
Without
fear of
facing more questions
and
problems
WHO USES MATHEMATICS?
Mathematicians: Pure and Applied
Scientist: Natural and Social
Practically
EVERYONE
PATTERNS
– Are regular, repeated or recurring forms or designs.
SEQUENCE-
It is an enumerated collection of objects in which repetition are allowed.
FIBONNACI SEQUENCE-
It is a series of number in which the next number is found by adding up the two previous terms before it.
LEONARDO PISANO
– Fibonacci Sequence named after
WHY DO WE NEED TO KNOW THE LANGUAGE OF MATHS?
To be able to
understand the idea
or
concepts
of Math
CHARACTERISTICS OF THE LANGUAGE OF MATHEMATICS
PRECISE
CONCISE
POWERFUL
COMPONENTS OF LANGUAGE OF MATHEMATICS
VOCABULARY
GRAMMAR
ARISTOTLE
– “Father of Logic”
LOGIC-
The science or study of the principles and techniques of correct reasoning.
LOGOS-
It is a Greek word which means speech and reasoning.
PROPOSITION-
It is a declarative statement which is true or false, but not both; and is the foundation of logic.
SIMPLE PROPOSITION
It expresses a single complete thought
Also, statements which cannot be broken down without a loss in meaning
COMPOUND PROPOSITION
A proposition formed by combining two or more simple statements in a certain ways.
Two connectives used for this purpose are the words “are” and “or”
Statements which can be broken down without a change in meaning
CONNECTIVES
– symbols to form compound proposition
Not
– (~, - )
And
– ( ^ )
Or
– ( v )
If, Then
(→)
If (if and only if
) ↔
TRUTH TABLE
– a tabular representation of truth values.
p – It is called the hypothesis sometimes called
Antecedent.
q – It is called the conclusion sometimes called
Consequent.
Mono Set
– A set with elements means “one or single”.
Null Set
– A set that has no elements.
NEGATION
(~, -)
The contradiction or denial of something.
If the statement is true make it false.
If the statement is false make it true.
CONJUNCTION
(and / ^)
If both p and q are true, then the conjunction is TRUE, otherwise it is FALSE generally expressed as “and”.
Words such as “but”, “however, and “nevertheless” are also used as conjunctions.
DISJUNCTION
(or / v)
If both p and q are false, then the disjunction is
FALSE
, otherwise it is
TRUE.
CONDITIONAL
(→)
“logical implication”
If, then statement p → q
BICONDITIONAL
(↔)
TRUE if both operands are true; and also TRUE if both are false, same values TRUE, otherwise it is FALSE.
CONVERSE
(q → p)
-“If two angles are congruent, then they are
vertical angles”
INVERSE
(~p → ~q)
-“If two angles are not vertical angles, then
they are not congruent”.
CONTRAPOSITIVE
(~q → ~p)
-“If two angles are not congruent, then they
are not vertical angles”.
TAUTOLOGY
– A statement where every
entry in the last column using truth table is
TRUE.
CONTRADICTION
– A statement where
every entry in the last column using truth table
is FALSE.
CONTIGENCY
– A statement that is neither a
tautology or a contradiction. Mix of true or
false.
PROBLEM
– Is a situation that confronts the
learner that requires resolution, and for which
the path to the answer is not immediately
known.
DRILL/EXERCISE
– A situation that
requires resolution but the method is clear and
the way to the answer is easily seen.
PROBLEM SOLVING
– There is an obstacle
that prevents one from seeing a clear path to
the answer.
CONJECTURE
– An educated guess based
on repeated observations of a particular
pattern or process.
DEDUCTIVE
REASONING- Is a
process of reaching to conclusion
(conjecture) by applying a general
assumptions, procedures or principles.
(General to Specific).
INDUCTIVE
REASONING – Is a
process of reaching a general
conclusion (conjecture) by examining
specific examples. (Specific to
General).
Polya’s Problem Solving Strategy
– named after
George Polya
(1887 – 1985)
4 Steps in Problem Solving Strategy
Preparation:
Understand the Problem
Thinking Time:
Devise a Plan
Insight:
Carry out the Plan
Verification:
Review the Solution
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