Everything has a beginning and everything must be built from the ground up. This holds true even when it comes to software engineering and programming languages. Data structures provide a grounding for programming language and hold data and codes that determine what action will trigger what reaction.
Data structures and Algorithms are two important concepts when it comes to learning any programming language, functional or object oriented, from the ground up. In order to master a language, you must first master the basic groundwork for that language.
Data structures such as lists, trees, maps, etc. represent underlying data and are often required to be sorted and merged, transformed and matched in some way. To do this manually, it would require a lot of time and man power, which is where algorithms play a crucial role. Software engineers have created algorithms that provide a solution for this task, which is consistent, repeatable and testable with a set of metrics to quantify performance.
For your system to work without a hitch, your data structures must be perform perfectly, which means that your algorithms should be accurate and designed for efficiency. This course is where you can learn exactly how to do that!
We have designed a course to get you back to basics, so that you can create clean, efficient and powerful algorithms to help you improve the performance of your system and avoid any major critical bottleneck during operations.
This course has been broken down into nine sections that cover five major categories of algorithms as well as its underlying concepts: Cryptography, Compiler Theory, Signal Processing, Data Analysis, and Graph Databases.
In addition to theory, the course also includes numerous practical examples and applications of data structures and algorithms. Practical application is definitely important, especially when it comes to algorithms because in tech interviews and tests, questions are usually asked on the applicant’s ability to solve problems by creating algorithms that are based on the theory. So, this course will make a great refresher if you are trying to study for a test or apply for a job in the tech field!
At the end of this course, you will:
Have a deeper understanding of algorithms and its basic concepts
Understand acronyms such as ADT, AST, BFS and DFS
Have learned recursion and its relationship to concurrency (multi branch, memoization) and ADT’s like Trees and Graphs
Understand trees and the rotation operations used in balancing.
Know in detail about parsing grammars with Stacks and Queues and related tools like AST based parsers the beginning step on the road to Compiler theory
Understand operations with Primes and engaged some of the interesting and accessible underlying mathematics like Fermat's theorem
With the fast-paced development in the field of Software Engineering, it is impossible to predict future technologies and languages that may be written. Hence, it is important to understand the pure concepts that are the building blocks of each language and technology that may arise.
So, what are you waiting for? Let's master Software Engineering and become an Algorithm specialist with this course.
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