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Bewertung und Feedback des Lernenden für Algorithmic Thinking (Part 2) von Rice University

203 Bewertungen
36 Bewertungen

Über den Kurs

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 class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. In part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Once students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems. While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language....



24. März 2018

Great class...Luay's lectures and problem sets were a great continuation to what Joe and Scott started. I suppose I will get started on Course 7 shortly.


28. Apr. 2018

Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.

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26 - 36 von 36 Bewertungen für Algorithmic Thinking (Part 2)

von Ganapathi N K

11. Nov. 2017

Fantastic course

von Paritosh P

7. Juni 2020


von Siwei L

25. Dez. 2017

Great course!!!

von Alexandrov D

24. Juli 2017

Thanks )

von Jin X

2. Mai 2016

Love it.

von Tae J Y

18. Aug. 2017


von Bhavya G

7. Juni 2020


von Todd R

4. Sep. 2016


von Nitin R

6. Juni 2020

The course is theoretically more difficult than most other Algorithms course you'd find here on Coursera. It is mathematical in nature. So, if you want a more practice-approached model, please search elsewhere. However, again, it is a wonderful course for understanding stuff in their conceptual nature.

von Martin W

3. Feb. 2017

Really like the mix of theory and practical application

von Gman

14. Juli 2022

really having a hard time understanding this professor....personally I think homeworks are much harder than projects/applications. I learned more by goolging the stuff it's teaching on my own than listening to presentations. If you are taking as part of the specialziation, bite the bullet. Otherwise, there are better algo courses.