Course description

his instructor-led Pearson IT Specialist Computational Thinking course focuses on knowledge needed to describe data storage; bits and their storage; representing information in bit patterns; data and programming; data manipulation; arithmetic/logic; programming data manipulation; algorithms; the concept of an algorithm; algorithm representation; algorithm discovery; iterative structures; recursive structures; efficiency and correctness; programming languages; historical perspective of programming languages; traditional programming concepts; procedural units; object-oriented programming; software engineering; the software engineering discipline; the software life cycle; software engineering methodologies; modularity; tools of the trade; quality assurance; documentation; the human-machine interface; data abstractions; basic data structures; related concepts; customized data types; classes and objects; abstract models; database systems; database fundamentals; the relational model; object-oriented databases; traditional file structures; data mining; social impact of database technology; artificial intelligence; intelligence and machines; perception; reasoning; theory of computation; functions and their computation; Turing machines; universal programming languages; a non-computable function; and complexity of problems. Designed for professionals in both non-technical or technical roles, this course focuses on the critical thinking and decision-making skills needed for success at the IT Specialist level.

What will I learn?

  • Describe Data Storage
  • Describe Data Manipulation
  • Describe Algorithms
  • Describe Programming Languages
  • Describe Software Engineering
  • Describe Data Abstractions
  • Describe Database Systems
  • Describe Artificial Intelligence
  • Describe the Theory of Computation

Requirements

  • Laptop or Desktop
  • Classroom
  • Internet

Frequently Asked Question

Decomposition. Decomposition is the process of breaking down a problem or challenge – even a complex one – into small, manageable parts. Abstraction. ... Pattern recognition. ... Algorithm design. ...

Computational thinking is about solving problems, designing systems and understanding human behaviour. This module will teach you to reformulate seemingly difficult problems into solvable ones by using processes such as reduction, embedding, transformation or simulation.

The "three As" Computational Thinking Process describes computational thinking as a set of three steps: abstraction, automation, and analysis.

AI is about providing computers with the ability to think like humans, while computational thinking is about improving the problem- solving capability of humans by leveraging the way a computer “thinks” when it solves problems. Humans have developed increasingly powerful tools.

At its core, computational thinking helps to solve complex problems, which is the same basis that inspires innovative solutions to these problems. Without the ability to problem-solve using computational thinking, it would be difficult to define and replicate innovative solutions to modern problems.

Senior Signatures Modeling Engineer. Leidos. ... Principal AI/ML Scientist. ... Quantitative Analytics Tech Lead. ... Software Engineer - Functional Programming. ... Quantitative Analytics Tech Lead (Multifamily business) ... Strengthen your profile. ... Computational Scientist. ... Machine Learning Engineer, Senior Manager.

Computational thinking is present even in the most routine activities of everyday life. Whether organizing their schoolwork, planning a bike route, or deciding the best way to approach a task, students are constantly engaging in abstraction.

Algorithms can help you develop superior critical thinking and problem solving skills, someone has to first create these powerful algorithms after all. By developing your algorithmic thinking you'll be better positioned to tackle whatever problem you encounter and have the skills to create the perfect solution

With the computational thinking process, it may be difficult to accurately predict markets, trends, users, and all technical influences. As a result, there are too many variables involved that can complicate any given scenario and make it too difficult to model accurately.

Watt Fiedin Adams

I am a Ghanaian businessman living in Accra. I am married to Hannah Watt Fiedin (Mrs.) and father to Godstime Watt Fiedin. I am very passionate about Entrepreneurship and aim at creating jobs for the youth. I like teaching and creating teaching contents for others to use. Jesus is my Mentor and Inspiration.

I am a Ghanaian/American businessman living in Accra and father to Godstime Watt Fiedin.I am very passionate about Entrepreneurship and aim at creating jobs for the youth.I like teaching and creating teaching contents for others to use.Jesus is my Mentor and Inspiration. - 18 years of teaching experience in French Language.- 3 years in Economic Business- 3 years Certified Interpreter/Translator, World Vision International, Ghana, West Africa Region & Global Center- 2 years Certified Translator, HIPPO Transport Ltd.- 3 years of French/English book Authorship.- 1 year as President of the Online Linguistics Trainers Association, Ghana.- 3 years as Chief Executive Officer, WATT Group of Companies- Director, WATT E-School of Languages- President, Online Linguistics Trainers Association, Ghana- President, WATT Xpress Ltd.- Co-founder, Gallery Products Ghana Ltd.- CEO, WATT Publications Ltd.- Interpreter, Lausanne Movement- Co-founder, WATT E-School- C. E. O. / Founder - WATT Professional Studies LLC- Test Administrator (PSI & Pearson VUE)

GH₵3300

GH₵3500

Lectures

44

Skill level

Beginner

Expiry period

6 Months

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