Problem Solving And Programming Concepts

In this paper, we will discuss the use of problem-solving in Computer Science, the effectiveness of using problem-solving tutors to learn programming concepts, and the pedagogical relationship between solving problems and learning to write programs.We will also present the design and results from the evaluation of one of our tutors.

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ACT Mathematics score of 22 or higher, or SAT Mathematics score of 520 or higher, or completion or current enrollment in MTH 104 or MTH 123 or MTH 125 or MTH 151 or MTH 249 or MTH 251 Computer software plays an important role in our daily lives: Our mobile phones, laptop computers, online banking, Internet applications such as You Tube, video games and movies, cars, and almost all aspects of daily life are touched by software.

These concepts are applied to create computer games and web applications.

For example, if your professor needs a cup of coffee, and asks you the single item: "Get me a cup of coffee", he has used both encapsulation and abstraction. All of this information is TOO MUCH and we would quickly be unable to funciton if we had to remember all of these details.

The number of steps required to actually get the coffee are enumerable. Thus we "abstract away" the details and only remember the few important items. Complexity hiding is the idea that most of the times details don't matter.

The core of what good programmers do is being able to define the steps necessary to accomplish a goal.

Unfortunately, a computer, only knows a very restricted and limited set of possible steps. But if you want to find the average of two numbers, this is beyond the basic capabilities of a computer.Further, there are "good ways" and "bad ways" to encode information.Good ways allow the computer to easily "compute" new information.This is prior learning (or a practical skill) that is required before enrolment on this module.While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).To find the average, you must: Computer scientists like to use the fancy word "Encapsulation" to show how smart we are.This is just a term for things we do as humans every day. Programmers must first understand how a human solves a problem, then understand how to translate this "algorithm" into something a computer can do, and finally how to "write" the specific syntax (required by a computer) to get the job done. numbers, characters, booleans, and lists (called arrays) of these items. Everything else must be "approximated" by combinations of these data types.It is sometimes the case that a machine will solve a problem in a completely different way than a human. A good programmer will "encode" all the "facts" necessary to represent a problem in variables (See Variables).By "ecapsulating" what is meant by "draw square" and "reusing" this operation over and over again, we make programming tractable.The idea behind encapsulation is to store the information necessary to a particular idea in a set of variables associated with a single "object".


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