An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.
"Introduction to Computer Science and Programming Using Python" is an engaging and comprehensive introductory course offered by MITx. This course is the first part of a two-course sequence designed to provide a solid foundation in computer science and programming for beginners. Using Python 3.5, students will embark on an exciting journey into the world of computational thinking and problem-solving.
To succeed in this course, students should have:
This course is ideal for:
The skills acquired in this course have numerous practical applications:
This course provides a solid foundation for those looking to pursue further studies in computer science or apply computational thinking to their respective fields. By mastering these skills, learners will be better equipped to tackle real-world challenges and leverage technology to create innovative solutions.
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Welcome to the self paced course, Algorithms: Design and Analysis, Part 2! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This course is an introduction to algorithms for learners with at least a little programming experience.
Learn the mathematical and computational basics for applying optimization successfully. Master the different formulations and the important concepts behind their solution methods. Learn to implement and solve optimization problems in Python through the practical exercises.
A self-contained course on the fundamentals of modern optimization with equal emphasis on theory, implementation, and application. We consider linear and nonlinear optimization problems, including network flow problems and game-theoretic models in which selfish agents compete for shared resources. We apply these models to a variety of real-world scenarios.
