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About the Course
Computational Complexity Certification
Computational Complexity Certification
U$D99
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Important Note :
You will be given a Free reference e-book to read which has more pages, And the test will be based on that e-book.
Define Computational Complexity
Computational Complexity can be defined as a subdivision of the theory of computation in hypothetical computer science and mathematics that emphases on categorising computation problems according to their inborn difficulty and relating those classes to each other. A computational problem can be agreed in the belief responsive to being solved by a computer which is equal to testifying that the problem may be resolved by mechanical application of mathematical steps, such as an algorithm. A problem is observed as integrally challenging if its solution requires substantial funds irrespective of the type of algorithm used. The theory introduces mathematical models of computation to study these problems and quantifying the amount of resources needed to solve them including storage and time. More complexity methods also used such as the amount of communication used in communication complexity. One of the major function of the computational complexity theory is to determine the limits of the functions that a computer can practically perform or not. In computational complexity theory a problem refers to the abstract question to be solved.
Brainmeasures Computational Complexity Certification Course
Becoming a Computational Complexity certified Professional is now easy with the presence of the Computational Complexity certification course by Brainmeasures. The Computational complexity course is designed in such a style that it authenticates the knowledge of its participants on the most significant computational theories, abilities and expertise essential in performing their role in an organization. With the help of the computational complexity certification course from Brainmeasures you get the chance to obtain, a much clearer background about this subject, thereby allowing you to recognize the complexities and breadth of knowledge needed to become successful in this field. Brainmeasures is an ISO certified leading online certification company renowned for their world class teaching standards and skill testing. After getting enrolled in this course with Brainmeasures, you would receive an E-book that would guide you for the online exam. Upon successful completion of the online exam, you would be awarded the certificate by Brainmeasures. Brainmeasures take extra care and time in designing these highly valuable courses as they form a strong base for all the participants of the courses and are extremely helpful to them in getting recruited in the best and reputed organizations.
Expected Salary after completing the Computational Certification Course by Brainmeasures
The average salary of a Computational and Data Science Research Specialist is $56,855- $97,435 whereas the salary of a Software development engineer is around $98,320 approximately.
Highlights of the Computational Complexity Certification Course by Brainmeasures
The Computational complexity certification course by Brainmeasures is a detailed course that discusses and explains all the main areas of this subject. Some of the major points of this course are mentioned below:
- Gives you an introduction of the basic complexity classes and modelling computation.
- Discusses NP and NP completeness and the class NP.
- Explains diagonalization and the time hierarchy and non-deterministic time hierarchy theorems.
- Discusses space complexity and space bounded computation.
- Explains the polynomial hierarchy and the alternations.
- Discusses about finer gradations and circuit classes.
- Explains randomized computation and probabilistic computation.
- Explains about interactive proofs and some variations.
- Explains about cryptography and computational security.
- Discusses about quantum computation and the various algorithms.
- Discusses about PCP theorem and the hardness of approximation.
- Explains about lower bounds for concrete computational models.
- Discusses communicational complexity.
- Discusses circuit lower bounds and complexity theory’s waterloo. Explains proof complexity with the help of some examples.
- Discusses about Algebraic computational models.
- Discusses advanced topics, complexity of counting.
- Explains the average case complexity with the help of Levin’s theory.
- Guides you about hardness amplification and error correcting.
- Explains about derandomization.
- Discusses pseudorandom constructions along with its expanders and extractors.
- Discusses the proofs of PCP theorems and the fourier transform technique.
- Explains why circuit lower bounds are difficult.
- Explains mathematical background in the appendix.
Beneficiaries of the Computational Complexity Certification Course by Brainmeasures
The computational complexity certification course by Brainmeasures is really beneficial for all those individuals who are interested in becoming successful research specialists or software engineers and have a flare of studying about complex computational issues and resolving them. This course exposes you to all the major points that help you diagnose negative results that demonstrates that certain problems require a lot of time and memory to be solved. Basically it enables you to be aware of the computational problems and use the measures that can solve these complexities, thereby improving your performance and workability.
Employment Opportunities after becoming a Computational Complexity certified professional
Job opportunities for computational complexities certified professionals are many nowadays since it is the modern age of computers and it is the aim of almost every organization to stay ahead and keep themselves updated with the latest technology. These business organizations aim to recruit such highly qualified and skilled professionals that can resolve such computational issues in their company, thereby saving a lot of time and money. Some of the vital roles where you can expect to master yourself are discusses below:
- Data Scientist
- Computer Scientist
- Research Scientist
- Software Developer
- Software Development Engineer
- Computational and Data Science Research Specialist
Computational Complexity Certification
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