Interpreting, Correcting & Completing Algorithm

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Interpreting Algorithms

Reading other peoples' code is sometimes the most difficult part of writing software, so it needs some practice.

Interpreting algorithms

Given an algorithm you should be able to read it and explain what it does.
This needs some practice, but there are some things you can look out for.

Look out for identifiers

Identifiers are the names of variables, constants, and subroutines.
These often give strong clues about the purpose of an algorithm.

Identify inputs and outputs

Check what is being input and output in the algorithm for clues about its purpose.

Examine output messages

Output messages often format the result of an algorithm in a human readable way.

Look for comments

Comments are descriptions of the code.
Comments will often state the purpose of a given algorithm.
Comments are often the clearest way to identify an algorithm.

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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