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Data Structures: An Active Learning Approach

Data Structures: An Active Learning Approach

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(5 customer reviews)
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9.2/10 (Our Score)
Product is rated as #8 in category Data Structures and Algorithms

This interactive text used in this course was written with the intention of teaching Computer Science students about various data structures as well as the applications in which each data structure would be appropriate to use. It is currently being taught at the University of California, San Diego (UCSD), the University of San Diego (USD), and the University of Puerto Rico (UPR). This coursework utilizes the Active Learning approach to instruction, meaning it has various activities embedded throughout to help stimulate your learning and improve your understanding of the materials we will cover. You will encounter “STOP and Think” questions that will help you reflect on the material, “Exercise Breaks” that will test your knowledge and understanding of the concepts discussed, and “Code Challenges” that will allow you to actually implement some of the algorithms we will cover. Currently, all code challenges are in C++ or Python, but the vast majority of the content is language–agnostic theory of complexity and algorithm analysis. In other words, even without C++ or Python knowledge, the key takeaways can still be obtained.

Instructor Details

Niema Moshiri is a Ph.D. student in the Bioinformatics and Systems Biology program at UC San Diego, where he is co-advised by Siavash Mirarab and Pavel Pevzner. He works on computational biology, with a research focus on phylogenetics and phylogenomics. Niema is also involved with teaching, and he has authored the online interactive textbook Data Structures (Moshiri & Izhikevich 2016).

Specification: Data Structures: An Active Learning Approach

Duration

65 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

No

5 reviews for Data Structures: An Active Learning Approach

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  1. Anonymous

    Very nice and well structured course about data structures. Highly recommended as an introduction to abstract data structures, graphs and hashing. Many thanks!

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  2. Anonymous

    Great course on data structures! The learning materials, assignments, and quizzes are well written. The summaries at the end are also nice as a reference. I highly recommend it!

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  3. Jay Movaliya

    It is very good course on Data Structure. I Personally recommend every computer science students to go through to this course at least one time before your graduation. it will change your thinking about computers.

    This course will give detailed information about all data structure. Thanks to authors

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  4. Anonymous

    Excellent and concise course on Data Structures. The course focuses on the theory behind the data structures, but it includes multiple coding problems throughout.

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  5. Estefania Cass.

    This is the perfect data structures course for beginners. It is thorough, practical, fun, colorful, and it includes amazing diagrams and illustrations to help visualize data structures, their operations, and their elements.

    The explanations are extremely well written, they are beginner friendly, and they are full of interesting tips and context to help connect ideas as you build knowledge during each chapter. In this course, you will learn the pros and cons of each data structure and their individual use cases. This is awesome because it trains us to apply our knowledge to different real world scenarios, and it helps us develop the necessary skills to determine which data structures we should choose in our future projects.

    I love how the course is full of context, practice questions, and coding exercises. I’m so glad that I found this course because it’s awesome. I totally recommend taking it if you want to learn about data structures! 🙂

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    Data Structures: An Active Learning Approach
    Data Structures: An Active Learning Approach

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