Learning to work independently and to use time management skills is important these days because of the distractions children are bound to meet up with on the Internet. Its a good idea to keep your computer in a central location where you can easily see the screen at a quick glance. An Internet connection in a childs bedroom should be closely monitored. In addition, your child should be made well aware of the dangers of the Internet. Search Strategies, you and your child should practice effective search strategies. Effective searching includes knowing where to look for the information you need. Start with a kid-safe search engine. Youve probably used Yahoo!
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Your best bet is to educate yourself and your child about the dangers of the Internet and to monitor your childs Internet time. If youre not sure what being cybersmart means, visit Cybersmart Kids Online / for information and tips. Theres a special section just for parents concerning possible risks for a child using the Internet. Youll also find child-friendly information about the Internet. Now malayalam that you know about potential online dangers and how to avoid them, youll want to monitor your childs homework. By keeping track of the research they need to do and how they are progressing at it, your child will appreciate your interest and take more pride in their work. Dont begrudge the hours of homework your child needs to complete. Think about the benefits of homework assignments. Homework not only text helps children develop good study habits, it reinforces school lessons and allows them to explore subjects further. It also gives them a chance to learn to use reference materials.
View, edit, page history last edited by, michelle bellah 7 years, 10 months ago, english Language Arts. Interdisciplinary, math, reading, research/ References, science, sites For teachers. Sites for Kids, social Studies, technology, october Internet Resources: m/24y97a. Does your daughter have a school science project due and she hasnt been able to biography find her way through all the extraneous material on the Internet? Maybe your son needs help with mathematics that youve long forgotten how to do and youd appreciate some online help? This article will show you how to zero in on the sites that provide this kind of information. Precautions, many of the reference and homework helper sites are kid-safe, though you should exercise caution before you let your children loose on the Internet, even when you are certain they are using kid-safe sites. Filtering software could reduce the chances of youngsters being exposed to potentially harmful or undesirable sites, but its not foolproof.
Makearray(NRest, V) :-!, sizeof(v, n makearrayofeach(Rest, V). when array dimensions are left unspecified. Makearrayofeach(nl, v) :- makearray(nl, v! Makearrayofeach(l, v1Rest) :- makearray(l, v1 makearrayofeach(l,rest). Sizeof t, n1) :- sizeof(t, n). Min(x,y, z) :- (nonvar(X nonvar(Y)- zmin(x,y (nonvar(X)- zx; (nonvar(Y)- zy;true). Max(x,y, father's z) :- (nonvar(X nonvar(Y)- zmax(x,y (nonvar(X)- zx; (nonvar(Y)- zy;true). Makelistfromto(n, m, nntoM) :- n 0, t (X-1 X1 T3 T*T*t, t5 T3*T*t, t7 T5*T*t, t9 T7*T*t, t11 T9*T*t, l 2 t (1/3 T3 (1/5 T5 (1/7 T7 (1/9 T9 (1/11 T11). log(X,L) :- x 0,.
Index x 11, X) :-! Index(Array, index, value) :- Index 30, index(Array, 1, Index, value). Index(x i, i, x) :-! Index t, i, n, x) :- index(t, i 1, n, x). Index(Array, index, _Value) :- detect illegal array indexing. Sizeof(Array, size index size, print Illegal Array indexing!, fail. Output(XT) :- print(X nl, output(T). Makearray(n, v) :-!, sizeof(v, n!
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CobExists name(CobExists, n name(cobexists, N1 prefix(N1, n call(B!, call(A). Conditional_constraint B) :- (call(B). Index(X 1, X) :-! Index x yourself 2, X) :-! Index x 3, X) :-! Index x 4, X) :-! Index x 5, X) :-!
Index x 6, X) :-! Index x 7, X) :-! Index x 8, X) :-! Index x 9, X) :-! Index x 10, X) :-!
bj conditional_constraint(a, b) :- ground(B call(B!, call(A). bj: 2/17/2012 - above rule causes cc to skip when b is non-ground. have to revisit this logic later. Conditional_constraint(a, :- ground(A call(A! Changed this clause due to move to sicstus conditional_constraint(a, b) :- ground(A!, not (B). BJ(2/12/2012) conditional_constraint(a, b) :- ground(A!, naf(B).
Conditional_constraint B) :- ground(B! Conditional_constraint(a, b) :-. CobExists name(CobExists, n clpr does not have 'name must change this. Name(cobexists, N1 prefix(N1, n call(B!, call(A). CobExists name(CobExists, n name(cobexists, N1 prefix(N1, n! Conditional_constraint(a, b) :- (B).,.
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For this part of summary the assignment, your job is to write a program that runs the following tests: (1pt) For arary sizes of 10, 100, 1,000, 10,000, and 100,000 elements: (1pt) Populates an array of random elements: (1pt) make 3 identical copies of that array. Note: your sorting algorithm may perform substantially worse than rt that is okay! Try to explain way. Your Binarysearch should perform on the same order of magnitude though. Hint: The rrentTimeMillis or noTime functions may come in handy. Submission Instructions save and submit your program as ArraydersTester. This file started from the version in /projects/tambay/Cob/helper. This file contains efficient definition of index with cuts and also the first 30 indices are sort of hard coded. declarations of constant sized arrays are translated to makearray :- use_module(library(lists).
The algorithm is then repeated until the element is found or there are no more elements left to divide into a low and high side. Because half the list is eliminated after each iteration, this algorithm has at worst log(2)n operations. A graphical example with a small array size would look like this: This graph is based on a relatively small scale of 'n'. Consider if this graph continued for hundreds of thousands of elements how much faster this algorithm. In this part, your job is to implement a binary search algorithm. Part 3: Time comparisons (12pts performance is an important part of programming, so it makes sense to be good able to measure our algorithms' performance. The algorithms you just completed already exist in java (in rays). You developed your own, not just to help learn the fundamentals of sorting and searching, but also so that we can analyze how they perform compared to the algorithms developed in lecture (bubble sort and linear search and the built-in java library functions.
selectionSort, InsertionSort, etc.). Submission Instructions, save your method (and any helper methods) to your already existing. Java library (to be submitted after Part 2). Part 2: Binary search (10 points). Binary search is a search method in which either a list or array of sorted items is divided into two (hence "binary parts. The item being searched for can then be determined to be in either the low side or the high side by comparing that value against the largest element in the low side (or the smallest element of the high side).
Points will be deducted for bad coding style (up to 20 of your grade), so: use good variable/function names (self-documenting code) provide comments for complex code blocks avoid hardcoding values into the programming logic provide javadocs for each class and function. For more details regarding good coding style guidelines see the grading criteria. Part 1: Sorting (10 points sorting algorithms are an important algorithmic exercise. There are great benefits to having data that is sorted. Primarily the speed of searching those results is exponentially faster than locating an elemenet from paper an unsorted list. In this part, you will be implementing a basic sorting algorithm. You will need to include it (and any helper methods you created) in your already existing Arrayders library. (7pts) your job is to implement the following pseudocode algorithm (in this example "A" is the array, while "i" and "j" are indexes into the array for i 0 and Aj-1 aj swap Aj and Aj-1 j (2pts) This algorithm should be implemented. It produces the side-effect of modifying the original array).
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CS101 - homework 5, updates: 5,000 - 100,000 searches; class - lecture. Instructions, answer the questions stated in the following exercises by submitting plain-text or java source code (.txt and. Java extensions write respectively) as stated in the exercises through. No word (.doc/.docx/etc.) or rich-text (.rtf) files please (in your text editor do "save file as plain-text. Java programs should be just the java source code (not your. Class files or Eclipse workspaces) unless otherwise stated. In all files submitted include a documentation header using comments which include: * Description of the program * @author: your Name, netid, or email * Document any collaboration or sources used.