Aggarwal, now a senior at MIT, is still constantly up to something. She is the founder and leader of Voltage, an undergraduate electrical engineering club, part of the first group of students to graduate with a major in theater arts, and a member of sMITe, MIT’s Women’s Ultimate Frisbee team. This summer, she will start working on her MEng at MIT. Going into the fall of her sophomore year, Aggarwal was ready to declare her major in materials science and engineering. She had done research in a chemistry lab at Rice University during high school, and loved the solid state chemistry class she took during her freshman year. Aggarwal’s path to electrical engineering included a few stops along the way, as she discovered new disciplines and ways of approaching problems. Is it guaranteed to terminate? Yes. The input is of finite length, so after accepting the user’s number, even if it is negative, the algorithm will stop.

Smart, insightful, and fascinating.' Walter Isaacson, author of Steve Jobs: The Exclusive Biography Writing a correct and valid algorithm to solve a computational problem is key to writing good code. With the help of a cast of star engineers and fascinating, unexpected real world examples, Madhavan offers a framework for you to think like the best engineers – more creatively, systematically and strategically so that you can learn to make better decisions and create innovative solutions in a complex world. Is it guaranteed to terminate? Yes. The list nums_list is of finite length, so after looking at every element of the list the algorithm will stop.Believe it or not, that’s pretty much all there is to it. Every computer application you’ve ever used, no matter how complicated, is made up of constructs that look pretty much like these. So you can think of programming as the process of breaking a large, complex task into smaller and smaller subtasks until the subtasks are simple enough to be performed with one of these basic constructs. The “art” of writing a program is composing and weaving these basic elements together many times over to produce something that is useful to its users. Computational Problem Design using the Basic Programming Constructs 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. Write an algorithm that accepts a word and an integer from the user, and that prints a new encrypted word that contains the letters from the original word “rotated” by the given amount (the integer input). For example, “cheer” rotated by 7 is “jolly” and “melon” rotated by −10 is “cubed.” During her junior year, Aggarwal worked on a research project through EECS’s SuperUROP program with Rajeev Ram, professor of electrical engineering, in his Physical Optics and Electronics Group. The project she worked on was aimed at building a wearable optical health monitor. 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?

Fundamental, not rote skill. A fundamental skill is something every human being must know to function in modern society. Rote means a mechanical routine;An algorithm is guaranteed to terminate and produce a result, always stopping after a finite time. If an algorithm could potentially run forever, it wouldn’t be very useful because you might never get an answer. However, she kept thinking about an introductory electrical engineering and computer science class she had taken as a freshman. “I got to program a robot to navigate though a maze, and it was the first time that I thought about systems thinking, and how you can control a system,” she remembers. “And that’s what engineering is: It’s a way of thinking, it’s a mindset.” Doing meaningful things with data is challenging, even if we’re not dealing with millions or billions of things. In this book, we will be working with smaller sets of data. But much of what we’ll do will be applicable to very large amounts of data too. Unit Summary She directed Oscar Wilde’s "The Importance of Being Earnest" with the Dramashop during her junior fall. A year later Aggarwal directed "Now Then Again," her first full-length production, with The Experimental Theater Company, MIT’s newest student-run theater group. Voltage aims to bring students, alumni, and faculty together for interactions around research and coursework. A subcommittee of the MIT IEEE/ACM Club, Voltage started with study breaks where students could meet, find out who was in their classes, and learn about courses. Since then they have planned bigger events, including two research expos where faculty showcased their work to help students find research opportunities.

reuse Write a set of instructions once and give them a name and then reuse those instructions as needed throughout your program. Evaluate computational algorithms for exactness, correctness, termination, generalizability and understandability. It is at the right level of detail…..the person or device executing the instruction know how to accomplish the instruction without any extra information.

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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. In September 2015, FormLabs launched Form 2, the printer that Aggarwal worked on. Much of her internship focused on troubleshooting. “My biggest contribution was actually that I used what I learned in a lot of my signals and systems courses at MIT to program the heater for the printer,” she says. The details look different in different computer programming languages, but there are some low-level conceptual patterns (constructs) that we use to write all programs. These constructs are not just for Python programs, they are a part of every programming language. Computer science is the study of computation — what can be computed and how to compute it whereas computational thinking is: