Computational Thinking - Algorithmic Thinking

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Algorithmic Thinking

Algorithmic thinking is key to solving any problem, not just those related to computers.

Algorithmic thinking

Algorithmic thinking is a way of solving problems by producing algorithms.

Algorithms

An algorithm is a reusable set of instructions (a series of steps) to solve a given problem.
We use algorithms all the time. For example, consider the steps that you take to:
- Make a cup of tea.
- Get dressed.

Writing down an algorithm

Algorithms can be written as a set of numbered steps to follow.
A non-technical example of a written algorithm is a cooking recipe.
In computing, we often represent algorithms using pseudocode or flow diagrams.

Computer Systems

1.1

Data Representation

1.1.1Binary Numbers 1.1.2Negative Binary Numbers 1.1.3Hexadecimal 1.1.4Using Hexadecimal 1.1.5Converting Binary & Hexadecimal 1.1.6Converting Denary & Hexadecimal 1.1.7Capacity 1.1.8Calculating Capacity Requirements 1.1.9Binary in Computer Systems 1.1.10Data Compression 1.1.11Run Length Encoding 1.1.12File Formats

1.2

Data Transmission

1.2.1Packet Switching 1.2.2Data Transmission 1.2.3Universal Serial Bus (USB)1.2.4Parity Check 1.2.5Checksum & Echo Checks 1.2.6Encryption

1.3

Hardware

1.4

Software

1.4.1Operating Systems 1.4.2Interrupts 1.4.3High-Level Languages 1.4.4Low-Level Languages

1.5

The Internet & its Uses

1.5.1The Internet 1.5.2Uniform Resource Locators (URLs)1.5.3DNS 1.5.4HTML 1.5.5Cookies 1.5.6Web Hosting 1.5.7Digital Currency

1.6

Cyber Security

1.6.1Forms of Attack 1.6.2Penetration Testing 1.6.3Types of Malware 1.6.4How Malware Spreads 1.6.5Protecting Against Malware 1.6.6Information Security 1.6.7Structured Query Language (SQL) Injection 1.6.8Firewalls 1.6.9Authentication: User Access Levels 1.6.10Authentication: Passwords 1.6.11Social Engineering 1.6.12Phishing 1.6.13Denial of Service Attacks

1.7

Automated & Emerging Technologies

1.7.1Automated Systems 1.7.2Robotics 1.7.3Artificial Intelligence

Algorithms, Programming & Logic

2.1

Algorithm Design & Problem Solving

2.1.1Computational Thinking - Abstraction 2.1.2Computational Thinking - Decomposition 2.1.3Computational Thinking - Algorithmic Thinking 2.1.4Pseudocode 2.1.5Flow Diagrams 2.1.6Interpreting, Correcting & Completing Algorithm 2.1.7Correcting Algorithms 2.1.8Completing Algorithms 2.1.9Testing 2.1.10Types of Testing 2.1.11Test Plans 2.1.12Validation & Sanitation 2.1.13Authentication & Contingencies

2.2

Programming

2.2.1Programming Fundamentals - Variables & Constants 2.2.2Programming Fundamentals - Comments 2.2.3Programming Fundamentals - Input & Output 2.2.4Data Types 2.2.5Casting 2.2.6Controlling Program Flow - Sequence 2.2.7Controlling Program Flow - Selection 2.2.8Controlling Program Flow - Iteration 2.2.9Modularity - Subroutines 2.2.10Modularity - Scope 2.2.11Arrays

2.3

Databases

2.3.1Structuring Data - Records 2.3.2Structuring Data - Databases 2.3.3SQL

2.4

Boolean Logic

2.4.1Binary Systems 2.4.2Logic Circuits 2.4.3Truth Tables 2.4.4Evaluating Expressions 2.4.5Boolean Operators 2.4.6End of Topic Test - Logic

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