data:image/png;base64,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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==Algorithm,"a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. "Variables," a value that can change, depending on conditions or on information passed to the program "Collaboration,"focuses on group rather than individual problem solving and decision-making tasks necessary to accomplish business and scientific objectives "Sprite," a two-dimensional bitmap image that is integrated into a larger scene "Driver,"The person that programs the code with the help of a Navigator "Navigator,A person helping the driver with what to doInput,"data that is entered into or received by a computer "Output,Any information processed by and sent out from a computer or other electronic deviceDigital Divide,"the gap between demographics and regions that have access to modern information and communications technology (ICT), and those that don't or have restricted access "Local Variable,"a variable that is only accessible within a specific part of a program "Global Variable,"variables that are accessible globally, or everywhere throughout the program "Data Types,"a classification that specifies which type of value a variable has and what type of mathematical, relational or logical operations can be applied to it without causing an error "ProtoType," a rudimentary working model of a product or information system, usually built for demonstration purposes or as part of the development process "Malware," an intrusive software that is designed to damage and destroy computers and computer systems "CyberSecurity,"the art of protecting networks, devices, and data from unauthorized access or criminal use and the practice of ensuring confidentiality, integrity, and availability of information "Keylogging,"a type of surveillance technology used to monitor and record each keystroke on a specific computer "Rogue Access Point,"a device not sanctioned by an administrator, but is operating on the network anyway "Syntax Error," Deals with things like punctuation or missing parentheses and typos "Logic Errors,"errors that occur when your program yields an unexpected result. "RunTime Error,"errors that occur when running the program "Index Out Of Bounds," occurs when the index used to address array items exceeds the allowed value "Rounding Error," the difference between a rounded-off numerical value and the actual value "Privacy,"an issue that concerns the computer community in connection with maintaining personal information on individual citizens in computerized record-keeping systems "Security,"the protection of computer systems and information from harm, theft, and unauthorized use "Phishing," a scam where malicious users attempt to steal personal or financial account information by sending deceptive electronic messages that trick unsuspecting consumers into disclosing personal information "00