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An ordered sequence of unambiguous and well-defined instructions that performs some task and halts in finite time Let's examine the four parts of this.

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Presentation on theme: "An ordered sequence of unambiguous and well-defined instructions that performs some task and halts in finite time Let's examine the four parts of this."— Presentation transcript:

1 An ordered sequence of unambiguous and well-defined instructions that performs some task and halts in finite time Let's examine the four parts of this definition more closely an ordered sequence means that you can number the steps (it's socks then shoes!) unambiguous and well-defined instructions means that each instruction is clear, do-able, and can be done without difficulty performs some task halts in finite time (algorithms terminate!)

2  Three Categories of Algorithmic Operations Algorithmic operations are ordered in that there is a first instruction, a second instruction etc. However, this is not enough. An algorithm must have the ability to alter the order of its instructions. An instruction that alters the order of an algorithm is called a control structure Three Categories of Algorithmic Operations: sequential operations - instructions are executed in order  conditional ("question asking") operations - a control structure that asks a true/false question and then selects the next instruction based on the answer  iterative operations (loops) - a control structure that repeats the execution of a block of instructions

3  Unfortunately not every problem or task has a "good" algorithmic solution. There are unsolvable problems - no algorithm can exist to solve the problem (Halting Problem)  "hard" (intractable) problems - algorithm takes too long to solve the problem (Traveling Salesman Problem)  problems with no known algorithmic solution

4  How to represent algorithms Use natural languages  too verbose  too "context-sensitive"- relies on experience of reader  Use formal programming languages  too low level  requires us to deal with complicated syntax of programming language  Pseudo-Code - natural language constructs modeled to look like statements available in many programming languages

5  Pseudo-Code is simply a numbered list of instructions to perform some task. In this course we will enforce three standards for good pseudo code Number each instruction. This is to enforce the notion of an ordered sequence of... operations. Furthermore we introduce a dot notation (e.g. 3.1 come after 3 but before 4) to number subordinate operations for conditional and iterative operations  Each instruction should be unambiguous (that is the computing agent, in this case the reader, is capable of carrying out the instruction) and effectively computable (do-able).  Completeness. Nothing is left out.

6  Example #1 Computing Sales Tax : Pseudo-code the task of computing the final price of an item after figuring in sales tax. Note the three types of instructions: input (get), process/calculate (=) and output (display) get price of item  get sales tax rate  sales tax = price of time times sales tax rate  final prince = price of item plus sales tax  display final price  halt  Variables: price of item, sales tax rate, sales tax, final price

7  Example #2 Computing Weekly Wages: Gross pay depends on the pay rate and the number of hours worked per week. However, if you work more than 40 hours, you get paid time-and-a- half for all hours worked over 40. Pseudo-code the task of computing gross pay given pay rate and hours worked. get hours worked  get pay rate  if hours worked ≤ 40 then  gross pay = pay rate times hours worked  else  gross pay = pay rate times 40 plus 1.5 times pay rate times (hours worked minus 40)  display gross pay  halt  variables: hours worked, ray rate, gross pay

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9  Computation/Assignment set the value of "variable" to :"arithmetic expression" or "variable" equals "expression" or "variable" = "expression"

10  Input/Output get "variable", "variable",... display "variable", "variable",...

11  Conditional (dot notation used for numbering subordinate statements) if "condition"  (subordinate) statement 1  etc...  else  (subordinate) statement 2  etc...

12  Iterative (dot notation used for numbering subordinate statements) while "condition"  (subordinate) statement 1  etc...

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14  1 Request the number of students;  2 Get the grade for each student;  3 Process the average grade for the whole school;

15  Application start;  02 Declare an integer variable numberOfStudents;  03 Declare an integer variable counter;  04 Declare an integer variable sum;  05 Declare a decimal variable average;  06  07 Set the numberOfStudents value to 0;  08 Set the counter value to 0;  09 Set the sum value to 0;  10  11 Request the number of students (numberOfStudents);  12  13 If the entered number of students is 0 then  14 Exit the application  15 Else  16 While the counter is less or equal to the number of students  17 Get the student grade  18 Add the student grade to the sum variable  19 Increment the counter by 1.  20 Get the next student information  21  22 When the student information is entered, set the average variable to the result of the division (sum divided by the number of students).  23 Show the result.  24 Application end.

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18  Get into your assigned group  As a group you will take 5 minutes and assign group members to a task.  As a group you will choose what your Algorithm will accomplish. What is your program. Take 15 min.  Task choice 1. Time Keeper: 1 person will use Microsoft Excel to create a timeline for groups completion and implement each completed task on a Power Point Presentation. 2. Designer: 2 students will create 2 flow charts in Microsoft Excel first flowchart describes each group members role and responsibility. 2 nd flowchart will consist of description of Pseudocode. 3. Coders: 2 students will create the Pseudocode and Algorithm. Friday we will present and implement code. We will view C++ and JAVA


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