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Class Notes for CISC 121 at Queen's University


QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 24: Complex Instruction Set Computing, Pseudocode, Linear Search

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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 22: Binary Search Algorithm, Linear Search, Complex Instruction Set Computing

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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 23: Linear Search, Binary Search Algorithm, Pseudocode

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From last lesson, we learned that a binary search accomplishes in 10 steps what a linear search would need 1000 steps to accomplish. With this establis
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 17: Jigsaw Puzzle, Linear Search, Lincoln Near-Earth Asteroid Research

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Sometimes too often the only way to find a certain item in a collection of items is to pick though them. Highly detailed puzzles often reduce this proc
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 18: Linear Search, Lincoln Near-Earth Asteroid Research, Binary Search Algorithm

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If a value that"s being looked for is the last item in the list, or is not in the list at all, every element in the list will be tested, once, against
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 16: Flash Memory, Complex Instruction Set Computing, Surface Web

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In-class coding lab thursday - we will be working in groups of two! Part 1: the importance of searching and linear searches. Much of what we do on a co
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 15: Execution tracing, choosing how to do execution tracing, pausing execution, idle's debugging tools,

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Execution tracing: tracking the course of a running program"s execution computers can execute code faster than we can think about it. Python 3 can init
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 13: Fuzz Testing, Equivalence Partitioning

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Program correctness: proving that implementations of algorithms meet the specifications set out for them. Program testing: often opted for instead of p
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 12: Benefits of top-down design, information hiding, compartmentalizing, subtasks, how functions work, locals(), call stack, popping the stack

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Reducing a large problem to a set of much smaller problems makes a large project seem less daunting. (may have psychological benefit as well as a pract
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 11: Reuse, modules as part of refinement, bottom-up design, top-down design, hybrids, example

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Be aware that acquiring a list of functions through the design process may help you spot opportunities for code reuse. It"s possible that one or more f
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 10: Program design, top-down design, stepwise refinement, functions as part of refinement, algorithms, program design versus programming language

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Program design: topic worthy of an entire university degree. A natural (or human) language decomposition of a system into successively smaller parts do
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 14: Ieee Software

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Most testing techniques fall into one of two large categories. The term came into being to differentiate it from black-box testing, but is also commonl
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 5: Empty String, Newline, English Alphabet

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Arguments of type int, float, tuple, bool, and str cannot have their values changed by the workings of a function. Arguments of type list and dict, how
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 4: Standard Streams

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That said, it"s probably more common for a program to need to determine whether or not a specific value is associated with a known key, as in. Removing
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 8: Functions, local variables, scope of variables, comments

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Only the first encountered will be executed. return true def first_is_shorter(thing1, thing2): if len(thing1) < len(thing2): else: print (first_is_shor
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 3: Associative Array, Bracket

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To determine the number of elements in a list, use same len() function used with strings len([ a", 7, 8. 2, fred"]) == 4 # is true. Regarding the len()
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 1: intro to python 3, IDEs, shells, blank lines, comments, data vs code, data types, numbers, text, booleans, literals, variables

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A python 3 program is a file that only contains text that conforms to the syntax of the python 3 programming language. Via a text editor, which is dist
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 6: Empty String

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Programming languages should give the programmer a way to specify that an action should take place in certain circumstances, when specific conditions a
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 2: Equals Sign, Style Guide

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Variables in python 3 must be named as follows. Name starts with a letter or underscore. The rest of the name may contain letters, numerals 0 through 9
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 7: Loops, range(), len(), functions, creating a function

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It is known that len(my_nums) returns the number of elements in the list my_nums, which (see example from last lesson) is: when range() is applied to 5
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 9: Newline

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Python functions can return 1+ value, in a sense. What the calling statement gets back is a tuple . Some of what we"ll cover in this course may involve
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QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 8: Functions, local variables, scope of variables, comments

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Only the first encountered will be executed. return true def first_is_shorter(thing1, thing2): if len(thing1) < len(thing2): else: print (first_is_shor
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 12: Benefits of top-down design, information hiding, compartmentalizing, subtasks, how functions work, locals(), call stack, popping the stack

OC25059475 Page
0
Reducing a large problem to a set of much smaller problems makes a large project seem less daunting. (may have psychological benefit as well as a pract
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 9: Newline

OC25059473 Page
0
Python functions can return 1+ value, in a sense. What the calling statement gets back is a tuple . Some of what we"ll cover in this course may involve
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 4: Standard Streams

OC25059473 Page
0
That said, it"s probably more common for a program to need to determine whether or not a specific value is associated with a known key, as in. Removing
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 13: Fuzz Testing, Equivalence Partitioning

OC25059473 Page
0
Program correctness: proving that implementations of algorithms meet the specifications set out for them. Program testing: often opted for instead of p
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 14: Ieee Software

OC25059473 Page
0
Most testing techniques fall into one of two large categories. The term came into being to differentiate it from black-box testing, but is also commonl
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 7: Loops, range(), len(), functions, creating a function

OC25059473 Page
0
It is known that len(my_nums) returns the number of elements in the list my_nums, which (see example from last lesson) is: when range() is applied to 5
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 1: intro to python 3, IDEs, shells, blank lines, comments, data vs code, data types, numbers, text, booleans, literals, variables

OC25059474 Page
0
A python 3 program is a file that only contains text that conforms to the syntax of the python 3 programming language. Via a text editor, which is dist
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 11: Reuse, modules as part of refinement, bottom-up design, top-down design, hybrids, example

OC25059473 Page
0
Be aware that acquiring a list of functions through the design process may help you spot opportunities for code reuse. It"s possible that one or more f
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 5: Empty String, Newline, English Alphabet

OC25059473 Page
0
Arguments of type int, float, tuple, bool, and str cannot have their values changed by the workings of a function. Arguments of type list and dict, how
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture 15: Execution tracing, choosing how to do execution tracing, pausing execution, idle's debugging tools,

OC25059473 Page
0
Execution tracing: tracking the course of a running program"s execution computers can execute code faster than we can think about it. Python 3 can init
View Document
QUEEN'SCISC 121Wendy L PowleyWinter

CISC 121 Lecture Notes - Lecture 3: Associative Array, Bracket

OC25059473 Page
0
To determine the number of elements in a list, use same len() function used with strings len([ a", 7, 8. 2, fred"]) == 4 # is true. Regarding the len()
View Document
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