Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems.
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Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
- 5 stars77.90%
- 4 stars15.01%
- 3 stars3.11%
- 2 stars1.41%
- 1 star2.54%
ALGORITHMIC THINKING (PART 1)의 최상위 리뷰
Some parts was hard and some not because of my own experience, in general very good course and only hard problems forces us to think.
This is where computer science truly starts, without the excessive preliminary math that usually scares most people away. Great course!
One of the best course offered by coursera, helps you to develop very strong basics if new,.
A great course with wonderful explanations from the tutors. Looking forward to do more courses with this team
Fundamentals of Computing 특화 과정 정보
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
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