Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.
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Computational Thinking for Problem Solving
Пенсильванский университетОб этом курсе
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Начальный уровень
Прибл. 18 часов на выполнение
Английский
Субтитры: Французский, Португальский (бразильский), Русский, Английский, Испанский
Приобретаемые навыки
Simple AlgorithmPython ProgrammingProblem SolvingComputation
Карьерные результаты учащихся
38%
начал новую карьеру, пройдя эти курсы
29%
получил значимые преимущества в карьере благодаря этому курсу
10%
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Сертификат, ссылками на который можно делиться с другими людьми
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Прибл. 18 часов на выполнение
Английский
Субтитры: Французский, Португальский (бразильский), Русский, Английский, Испанский
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Пенсильванский университет
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Программа курса: что вы изучите
3 ч. на завершение
Pillars of Computational Thinking
Computational thinking is an approach to solving problems using concepts and ideas from computer science, and expressing solutions to those problems so that they can be run on a computer. As computing becomes more and more prevalent in all aspects of modern society -- not just in software development and engineering, but in business, the humanities, and even everyday life -- understanding how to use computational thinking to solve real-world problems is a key skill in the 21st century.
3 ч. на завершение
6 видео ((всего 44 мин.))
6 видео
1.1 Introduction4мин
1.2 Decomposition6мин
1.3 Pattern Recognition5мин
1.4 Data Representation and Abstraction7мин
1.5 Algorithms8мин
1.6 Case Studies11мин
4 практических упражнения
1.2 Decomposition10мин
1.3 Pattern Recognition10мин
1.4 Data Representation and Abstraction15мин
1.5 Algorithms15мин
4 ч. на завершение
Expressing and Analyzing Algorithms
When we use computational thinking to solve a problem, what we’re really doing is developing an algorithm: a step-by-step series of instructions. Whether it’s a small task like scheduling meetings, or a large task like mapping the planet, the ability to develop and describe algorithms is crucial to the problem-solving process based on computational thinking. This module will introduce you to some common algorithms, as well as some general approaches to developing algorithms yourself. These approaches will be useful when you're looking not just for any answer to a problem, but the best answer. After completing this module, you will be able to evaluate an algorithm and analyze how its performance is affected by the size of the input so that you can choose the best algorithm for the problem you’re trying to solve.
4 ч. на завершение
7 видео ((всего 69 мин.))
7 видео
2.2 Linear Search5мин
2.3 Algorithmic Complexity8мин
2.4 Binary Search11мин
2.5 Brute Force Algorithms13мин
2.6 Greedy Algorithms9мин
2.7 Case Studies12мин
6 практических упражнений
2.1 Finding the Largest Value10мин
2.2 Linear Search10мин
2.3 Algorithmic Complexity10мин
2.4 Binary Search10мин
2.5 Brute Force Algorithms15мин
2.6 Greedy Algorithms10мин
4 ч. на завершение
Fundamental Operations of a Modern Computer
Computational thinking is a problem-solving process in which the last step is expressing the solution so that it can be executed on a computer. However, before we are able to write a program to implement an algorithm, we must understand what the computer is capable of doing -- in particular, how it executes instructions and how it uses data. This module describes the inner workings of a modern computer and its fundamental operations. Then it introduces you to a way of expressing algorithms known as pseudocode, which will help you implement your solution using a programming language.
4 ч. на завершение
6 видео ((всего 46 мин.))
6 видео
3.2 Intro to the von Neumann Architecture8мин
3.3 von Neumann Architecture Data6мин
3.4 von Neumann Architecture Control Flow5мин
3.5 Expressing Algorithms in Pseudocode8мин
3.6 Case Studies10мин
5 практических упражнений
3.1 A History of the Computer10мин
3.2 Intro to the von Neumann Architecture10мин
3.3 von Neumann Architecture Data10мин
3.4 von Neumann Architecture Control Flow10мин
3.5 Expressing Algorithms in Pseudocode10мин
7 ч. на завершение
Applied Computational Thinking Using Python
Writing a program is the last step of the computational thinking process. It’s the act of expressing an algorithm using a syntax that the computer can understand. This module introduces you to the Python programming language and its core features. Even if you have never written a program before -- or never even considered it -- after completing this module, you will be able to write simple Python programs that allow you to express your algorithms to a computer as part of a problem-solving process based on computational thinking.
7 ч. на завершение
9 видео ((всего 91 мин.)), 12 материалов для самостоятельного изучения, 12 тестов
9 видео
4.2 Variables13мин
4.3 Conditional Statements8мин
4.4 Lists7мин
4.5 Iteration14мин
4.6 Functions10мин
4.7 Classes and Objects9мин
4.8 Case Studies11мин
4.9 Course Conclusion8мин
12 материалов для самостоятельного изучения
Programming on the Coursera Platform10мин
Python Playground
Variables Programming Activity20мин
Solution to Variables Programming Activity10мин
Conditionals Programming Activity20мин
Solution to Conditionals Programming Activity10мин
Solution to Lists Programming Assignment5мин
Solution to Loops Programming Assignment10мин
Solution to Functions Programming Assignment10мин
Solution to Challenge Programming Assignment10мин
Solution to Classes and Objects Programming Assignment10мин
Solution to Project Part 410мин
12 практических упражнений
4.2 Variables10мин
4.3 Conditional Statements5мин
4.4 Lists10мин
Lists Programming Assignment15мин
4.5 Iteration10мин
Loops Programming Assignment30мин
4.6 Functions10мин
Functions Programming Assignment20мин
(Optional) Challenge Programming Assignment20мин
4.7 Classes and Objects10мин
Classes and Objects Programming Assignment20мин
Project Part 4: Implementing the Solution in Python25мин
Рецензии
Лучшие отзывы о курсе COMPUTATIONAL THINKING FOR PROBLEM SOLVING
от партнера J18 дек. 2018 г.
Excellent course for beginners with enough depth, programming and computational theory to increase their computer science knowledge to a higher level. It builds a good foundation of how computers work
от партнера AW3 февр. 2019 г.
The course is very well-designed and it helped me develop understand how to apply computational thinking in solving various types of problems as well as acquire basic skills of programming in Python.
от партнера DT8 июля 2020 г.
Very comprehensive course. As a chemist who is interested in doing a course in programming I was quite uncertain if I'd be able to pick it up however this course has helped me understand the basics.
от партнера JR27 июня 2019 г.
The course is great. I learned a lot. The support for the course is SUPER slow. It's hard to get any direct help for any questions or issues that you are having. Beware of assignment 4.7!
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