Think Like an Engineer: Use systematic thinking to solve everyday challenges & unlock the inherent values in them

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Is it guaranteed to terminate? Yes. The input is of finite length, so after accepting the user’s number of words to enter and any characters typed on the keyboard, even if it is not a ‘word’ per say, the algorithm will stop.

Evaluate computational algorithms for exactness, correctness, termination, generalizability and understandability.In high school, Aggarwal enrolled in a magnet program focused on medicine because she thought she wanted to be a doctor. Through the program she did rotations at Houston’s Anderson Cancer Center, and realized that she didn’t want to be a doctor — she wanted to build devices that doctors could use. Conceptualizing, not programming. Computer science is not only computer programming. Thinking like a computer scientist means more than being able to program a computer. It requires thinking at multiple levels of abstraction;

However, “algorithm” is a technical term with a more specific meaning than “recipe”, and calling something an algorithm means that the following properties are all true: Write about a process in your life (e.g. driving to the mall, walking to class, etc.) and estimate the number of steps necessary to complete the task. Would you consider this a complex or simple task? What happens if you scale that task (e.g. driving two states away to the mall)? Is your method the most efficient? Can you come up with a more efficient way? A program is a sequence of instructions that specifies how to perform a computation. The computation might be something mathematical, such as solving a system of mathematical equations or finding the roots of a polynomial, but it can also be a symbolic computation, such as searching and replacing text in a document or something graphical, like processing user input on an ATM device. I have long admired Engineers and if I had have been more ambitious and educated when I was younger, in an alternative Universe I might have been one. I have been saying to Michael since he was old enough to listen “become an Engineer”. He seems to have listened and has dreams of becoming an Aeronautical Engineer. I read this book imagining one day in the future I will have a language to speak about his Engineering Projects with him. Dad needs to be educated too. An algorithm specifies a series of steps that perform a particular computation or task. Throughout this book we’ll examine a number of different algorithms to solve a variety of computational problems.Write an algorithm to accept a score between 0.0 and 1.0. If the score is out of range, display an error message. If the score is between 0.0 and 1.0, display a grade using the following table: Is it general for any input? Yes. Any positive integer greater than zero and any size ‘word’ will work. In software engineering, a software design pattern is a general, reusable solution to a commonly occurring problem within a given context

Madhaven believes he's been able through close analysis to reverse-engineer the engineering mindset itself. At its core lies what he describes as 'modular systems thinking', or the ability to bend different techniques and principles and apply them to a problem. Above this is 'the one-two-three punch': the ability to see structure where there's none, the ability to design within constraints, and the ability to make dynamic trade-offs between different factors. Another metaphor he likes to use is the Swiss army knife approach to problem solving, combining structured and abstract thinking, common sense and imagination whilst also cross-pollinating information from as wide a range of sources as possible.This book by its own admission is about systemic thinking based on the CDIO acronym (Conceive, Design, Implement, Operate). It later covers project management and all aspect of running a business, no matter what the business. It remains concerned with the Entrepreneurial mindset. The author repeats 33% of CEO’s are Engineers, only 10% are from Business Administration numerous times throughout the book. He believes that the Engineering mindset, is a good one for education and life. The way he argues it I find it hard to disagree. An algorithm produces a defined set of outputs. It might output the larger of the two numbers, an all-uppercase version of a word, or a sorted version of the list of names. Manually, you should step through your algorithm using each of the three test cases, making sure that the algorithm does indeed terminate and that you get your expected result. As our algorithms and programs become more complex, skilled programmers often break each test case into individual steps of the algorithm/program and indicate what the expected result of each step should be. When you write a detailed test case, you don’t necessarily need to specify the expected result for each test step if the result is obvious. So the engineer doesn’t give up when they face a problem but instead get to work on a solution. But they also go about approaching those problems in a different way, which also helps them to often overcome the perceived difficulties. With that in mind, I wanted to share some of the important things I have learned in over 10 years that can help accelerate your growth as an engineer. Establish patterns

Given five cards randomly placed in a row like the ones below write an algorithm to sort the cards. How would your algorithm change if there were 10 cards? What about 100 cards?I really liked the small major feeling of materials science, and I wanted to bring that to electrical engineering,” she says. Aggarwal decided to start Voltage, a club for undergraduate electrical engineers. Complements and combines mathematical and engineering thinking. Computer science inherently draws on mathematical thinking, given that, like all sciences, its formal foundations rest on mathematics. Computer science inherently draws on engineering thinking, given that we build systems that interact with the real world; Is it unambiguous? Yes. Each step of the algorithm consists of uncomplicated operations, and translating each step into programming code is straight forward. An algorithm expects a defined set of inputs. For example, it might require two numbers where both numbers are greater than zero. Or it might require a word, or a list customer names.