Algorithms and Data Structures Tutorial - Full Course for Beginners
This is a full-length course from treehouse. Free code camp is a non-profit making this course
freely available on our youtube channel. We will learn these concepts by using well-known
algorithms in this course we will also be writing code. This course is less about specific
algorithms and more about the tools you will need to evaluate algorithms. An algorithm is a set
of steps or instructions for completing a task. The field of computer science has identified
several that do the job well for a given task. Understanding algorithms is not just knowing that
an algorithm exists but understanding when to apply it requires properly understanding the
problem at hand. Learning about algorithms gives you a deeper understanding about complexity
and efficiency in programming. The course will focus on some of the tools and concepts you'll
need to be aware of before we can dive into the topic of algorithms if you're ready we 're going
to try and cultivate together as we work through our content.
John and britney took the same amount of turns to find the answer to the number they were
looking for. When the answer was three they both took the same number of turns this is
important when the number was larger but not much larger 10 in this case we start to see that
britney strategy did better she took four tries while john took 10. John and brittany took turns to
find the answer when the number was 5. When the answer was 100 it took him 20 times the
amount of tries to get that answer compared to britney. The speed at which the result was
obtained differed between john and brittany and britney in the game. The two strategies britney
and john used were examples of search more specifically these are search algorithms. The
strategy john took where he started at the beginning of the range and just counted one number
after the other is a type of search called linear search. linear search is a search algorithm and
we can use it in the real world for example i could tell you to walk into a bookstore and find me a
particular book using the linear search algorithm.
An algorithm definition must contain a specific set of instructions in a particular order. Each step
must not be a complex one and needs to be explicitly clear. The last guideline is that the
algorithm should actually complete and can not take an infinite amount of time. When using a
search algorithm the end result can actually be nothing which indicates that the value wasnot
found. The guidelines help us define what an algorithm is but also helps us verify that the
algorithm is correct executing the steps in an algorithm for a given input must result in the same
output every time. The same set of guidelines makes for good algorithmic thinking which is one
of the most important skills we want to cultivate when we encounter a problem before rushing
into thinking about solutions. Algorithm correctness is proved by mathematical induction which
is a form of reasoning used in mathematics to verify that a statement is correct. Algorithms are
used in the sequencing of dna and more efficient sequencing algorithms allow us to research
and understand diseases better and faster but let 's not get ahead of ourselves we 'll start
simple by evaluating john 's linear search algorithm in terms of its efficiency.
This is a full-length course from treehouse. Free code camp is a non-profit making this course
freely available on our youtube channel. We will learn these concepts by using well-known
algorithms in this course we will also be writing code. This course is less about specific
algorithms and more about the tools you will need to evaluate algorithms. An algorithm is a set
of steps or instructions for completing a task. The field of computer science has identified
several that do the job well for a given task. Understanding algorithms is not just knowing that
an algorithm exists but understanding when to apply it requires properly understanding the
problem at hand. Learning about algorithms gives you a deeper understanding about complexity
and efficiency in programming. The course will focus on some of the tools and concepts you'll
need to be aware of before we can dive into the topic of algorithms if you're ready we 're going
to try and cultivate together as we work through our content.
John and britney took the same amount of turns to find the answer to the number they were
looking for. When the answer was three they both took the same number of turns this is
important when the number was larger but not much larger 10 in this case we start to see that
britney strategy did better she took four tries while john took 10. John and brittany took turns to
find the answer when the number was 5. When the answer was 100 it took him 20 times the
amount of tries to get that answer compared to britney. The speed at which the result was
obtained differed between john and brittany and britney in the game. The two strategies britney
and john used were examples of search more specifically these are search algorithms. The
strategy john took where he started at the beginning of the range and just counted one number
after the other is a type of search called linear search. linear search is a search algorithm and
we can use it in the real world for example i could tell you to walk into a bookstore and find me a
particular book using the linear search algorithm.
An algorithm definition must contain a specific set of instructions in a particular order. Each step
must not be a complex one and needs to be explicitly clear. The last guideline is that the
algorithm should actually complete and can not take an infinite amount of time. When using a
search algorithm the end result can actually be nothing which indicates that the value wasnot
found. The guidelines help us define what an algorithm is but also helps us verify that the
algorithm is correct executing the steps in an algorithm for a given input must result in the same
output every time. The same set of guidelines makes for good algorithmic thinking which is one
of the most important skills we want to cultivate when we encounter a problem before rushing
into thinking about solutions. Algorithm correctness is proved by mathematical induction which
is a form of reasoning used in mathematics to verify that a statement is correct. Algorithms are
used in the sequencing of dna and more efficient sequencing algorithms allow us to research
and understand diseases better and faster but let 's not get ahead of ourselves we 'll start
simple by evaluating john 's linear search algorithm in terms of its efficiency.
