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Data Structures (University of Puerto Rico)

About the course

This interactive textbook 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 used at the University of California, San Diego (UCSD), the University of San Diego (USD), and the University of Puerto Rico (UPR).

This textbook 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++, but the vast majority of the textbook's content is language-agnostic theory of complexity and algorithm analysis. In other words, even without C++ knowledge, the key takeaways of the textbook can still be obtained.

Instructors

  1. User picture
    Niema Moshiri
    PhD candidate in Bioinformatics and Systems Biology at UC San Diego, SD-raised
    My name is (Alexander) Niema Moshiri, and I am currently a Ph.D. candidate in the Bioinformatics and Systems Biology program at the University of California, San Diego. I work on computational biology, with a research focus on phylogenetics and phylogenomics. I am co-advised by Dr. Siavash Mirarab and Dr. Pavel Pevzner. I also place a heavy emphasis on teaching, namely on the development of online educational content, primarily Massive Adaptive Interactive Texts (MAITs).

Data Structures - Niema Moshiri and Liz Izhikevich - 2016

Expected time to complete:
13 hours
Language:
English
Certificate:
Not issuing

About the course

This interactive textbook 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 used at the University of California, San Diego (UCSD), the University of San Diego (USD), and the University of Puerto Rico (UPR).

This textbook 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++, but the vast majority of the textbook's content is language-agnostic theory of complexity and algorithm analysis. In other words, even without C++ knowledge, the key takeaways of the textbook can still be obtained.

This course is entirely free. All content is available now.