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11/15/2020
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Fundamentals of Computing Specialization is a computer science training course offered by Rice University. This collection covers most of the topics that a freshman computer science student goes through at this university. In this course, you will learn the highest level of Python programming skills from the lowest level and you will use these acquired skills in building and completing more than 20 attractive projects. Among the topics of this course are familiarity with interactive programming in Python, familiarity with the principles of computer science and computing, and algorithm-based thinking.
The language of choice for this course is Python, which is due to its ease of learning, high level and its use in many other computer science courses. In this course, you will learn basic programming elements such as expressions, terms, functions, and more advanced elements such as lists, dictionaries, and loops, as well as building interactive graphical applications, and with different principles and infrastructures of computer science such as You will become familiar with the science of probability and combinations and concepts such as returns and assertions. Analysis of two large and real data sets with the help of graph algorithms and advanced algorithms such as division and solution and dynamic programming are other topics of this course.
Algorithms
Principles of computer programming
Dynamic and logical programming
Programming with Python and Synatx
Objective programming
Tree data structure
Graph theory and combinations
Publisher: Coursera
Instructors: John Greiner, Stephen Wong, Scott Rixner, Joe Warren, Luay Nakhleh
English language
Level of training: Beginner
Number: 7 courses
Duration of the course: with a suggested time of 4 hours per week, approximately 7 months
Knowledge of high school mathematics is required. No previous programming knowledge is required.
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