Statistics for IB Computer Science Topic 4.1 - General Principles

Click here to take the quiz!

General Stats
Answer Stats
Score Distribution
Your Score History

General Stats

This quiz has been taken 109 times
(106 since last reset)
The average score is 5 of 27

Answer Stats

Definition	Term	% Correct
Needs attention and must be solved	Problem	84%
Series of unambiguous, finite step-by-step instructions designed to solve above	Algorithm	71%
Produced by program after process	Output	48%
What is put into program	Input	46%
Repeating series of instructions within algorithm. Examples: for/from to loop, while loop	Iteration	30%
Execution of different instructions simultaneously by multiple processors in order to achieve most efficient performance. Example: "Pasta with sauce"	{Concurrent} processing	23%
	Thinking {concurrent}ly	23%
Reduces solution to series of simple sequential steps in order to obtain desired output.	Procedure	20%
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	18%
Series of commands to solve specific sub-problem. Example: calculation of discriminant (b^2-4ac)	Sub-procedure	18%
What must be true before sub-procedure is called; starting state before algorithm	Pre-condition	16%
Used by above. Describe data/properties and behaviours/methods of real objects, facilitating code reusability and abstraction. Examples: car1 and car2	Programming objects	16%
What will be true after sub-procedure; final state after algorithm	Post-condition	14%
Performs different instructions based on Boolean test	Conditional statement	13%
Event that disrupts anticipated flow of program's execution. Can be handled by most modern programming language features.	Exception	13%
Example of above, based on principle that all everyday tasks can be considered entities.	Object-oriented programming (OOP)	11%
Planning in advance. Examples: Pre-ordering product, pre-heating oven	Pre-planning	11%
Reflecting on events, ideas, attributes, and relationships, ignoring details irrelevant to accomplish a goal.	Abstract thinking	5%
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	5%
Shows boundaries/borders of countries and states, as well as locations of cities and towns.	Political map	5%
Dividing problems or sub-problems into smaller sub-problems	Top-down design	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	4%
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	4%
Abstracts three-dimensional features of real world into smaller two-dimensional representations, paper or screen.	Topographic map	4%
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%