2022-07-11: Research and Creative Work Support with New Library Acquisitions funded by ODU Library Research Grant

                                                                                  Perry Library. Photo David B. Hollingsworth/ODU

I am very glad to announce that I have received the "ODU Library Research Grant 2022". The purpose of the grant is to support research and creative works with new library acquisitions. 

“The grant program will benefit both the Libraries and faculty, as the initiative will help identify and fill needed gaps in our collection,” shares Collection Development Coordinator James Rhoades. “It’s our hope that purchasing needed items will make the scholarly process easier and quicker for faculty.”

Both virtual and physical versions of the following list of books are available at ODU libraries now. The collection mainly includes the following topics: machine learning, mathematics for machine learning, deep learning, reinforcement learning, C++ high performance, multi-thread applications, and design patterns.

The goal of this fund is to equip ODU Computer Science and Data Science major (undergraduate and graduate level) students with the knowledge and skills required for their career success.

Book Name

Building Machine Learning Powered Applications: Going from Idea to Product

Mathematics for Machine Learning

Machine Learning: A Probabilistic Perspective, Adaptive Computation and Machine Learning series, Illustrated Edition

Deep Learning (Adaptive Computation and Machine Learning series)

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series) second edition

Neural Networks and Deep Learning: A Textbook

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

The Hundred-Page Machine Learning Book

Mastering Blockchain: A deep dive into distributed ledgers, consensus protocols, smart contracts, DApps, cryptocurrencies, Ethereum, and more, 3rd Edition

Programming Massively Parallel Processors: A Hands-on Approach 3rd Edition

Advanced Python Programming: Build high-performance, concurrent, and multi-threaded apps with Python using proven design patterns

Design Patterns: Elements of Reusable Object-Oriented Software

The Linux Programming Interface: A Linux and UNIX System Programming Handbook

Multicore Application Programming: for Windows, Linux, and Oracle Solaris

Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition

Linux Kernel Development 3rd Edition

CUDA by Example: An Introduction to General-Purpose GPU Programming

C++ High Performance: Master the art of optimizing the functioning of your C++ code, 2nd Edition

Writing for Computer Science by Justin Zobel

Genetics for Dummies 3rd Edition

Interaction Design: Beyond Human-Computer Interaction 5th edition

Data Science from Scratch: First Principles with Python

These books will enrich the book collection in the ODU library with the most current and up-to-date resources needed for our CS students to be successful in their major studies, and future careers. Based on my experience teaching and doing research with the students, I perceived the need for some resources that can facilitate and speed up the students’ understanding of the Computer Science field. Students often ask me about extra resources they can use to master their courses or research in the machine learning field. I find it very valuable to provide a few hard copy books available for the students in the ODU library in addition to the online versions. These books will be used as references for extra credit activities in my courses and as resources for the students conducting research. I highly encourage all our Computer Science and Data Science students to check out these resources.

Thanks to Libraries’ Collection Development Committee and Head of Libraries’ Engagement, Dr. Jennifer Hoyt. The grant money will assist in developing work within fields of expertise and will encourage the exploration of topics through the lens of scholarly research and creativity.

 

Faryaneh Poursardar (@Faryane)