IB Computer Science Topic 4.1 - General Principles - Statistics

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General Stats

This quiz has been taken 122 times
119 since last reset
The average score is 5 of 27

Answer Stats

Definition	Term	% Correct
Needs attention and must be solved	Problem	86%
Series of unambiguous, finite step-by-step instructions designed to solve above	Algorithm	73%
Produced by program after process	Output	49%
What is put into program	Input	48%
Repeating series of instructions within algorithm. Examples: for/from to loop, while loop	Iteration	27%
Execution of different instructions simultaneously by multiple processors in order to achieve most efficient performance. Example: "Pasta with sauce"	{Concurrent} processing	22%
	Thinking {concurrent}ly	22%
Reduces solution to series of simple sequential steps in order to obtain desired output.	Procedure	21%
Bar chart for project management that shows tasks, activities, and events in relation to time. One bar for task, length of bar represents timeframe.	Gantt chart	19%
Series of commands to solve specific sub-problem. Example: calculation of discriminant (b^2-4ac)	Sub-procedure	17%
What must be true before sub-procedure is called; starting state before algorithm	Pre-condition	16%
Performs different instructions based on Boolean test	Conditional statement	14%
What will be true after sub-procedure; final state after algorithm	Post-condition	14%
Used by above. Describe data/properties and behaviours/methods of real objects, facilitating code reusability and abstraction. Examples: car1 and car2	Programming objects	14%
Event that disrupts anticipated flow of program's execution. Can be handled by most modern programming language features.	Exception	11%
Planning in advance. Examples: Pre-ordering product, pre-heating oven	Pre-planning	11%
Example of above, based on principle that all everyday tasks can be considered entities.	Object-oriented programming (OOP)	10%
Data structure/Abstract Data Type consisting of data and predefined methods that operate on data, i.e. add, store, manage, retrieve, manipulate, and communicate data using predefined methods.	Collection	6%
Shows boundaries/borders of countries and states, as well as locations of cities and towns.	Political map	6%
Reflecting on events, ideas, attributes, and relationships, ignoring details irrelevant to accomplish a goal.	Abstract thinking	5%
Transferring data or instructions from memory to cache for when they are needed so that time is not wasted waiting for data from RAM.	Prefetching	5%
Dividing problems or sub-problems into smaller sub-problems	Top-down design	5%
Example of above. Consists of pre-formed elements and pre-written code, classes, procedures, methods, etc. that offer programmes additional and more efficient functionality to programs	Software library	3%
Abstracts three-dimensional features of real world into smaller two-dimensional representations, paper or screen.	Topographic map	3%
What is evaluated in order to determine whether statements in "if" statement run. Examples: a>0, a==b	Boolean condition	2%
Common sense in algorithmic thinking and programming. Examples: If it rains, wear raincoat.	Logical rules	2%
Abstraction of reality showing spatial distribution and emphasizes particular theme, such as average income distribution in georgraphic area.	Thematic map	2%

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