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Class Guide for Graduate Seminar of Dr. Alina Lazar: Finding Books

General Information for graduate student at Computer Science for their study and research.

Finding Books in Catalogs

You can use Online Catalog to locate books and materials in library. In the Catalog search engine, you can search by Author, Title, Keyword, or Subject Heading. Click on a title to access the detail record for the item. The items can be requested and checked out with your YSU ID. See detail information on Borrowing Privileges & Loan Periods.

Finding Books in Maag Library: MaagNET


Use MaagNET, the online library catalog,to locate books and materials available in Maag Library.Click on a title to access the record for an item, where you will see the item’s Location, Call Number, and Status. This information helps you determine if the book is available and where it is located in the library. 


Reference materials are available for in-library use only and are shelved alphabetically by call number in the Reference Room on the main floor of the library.
Ready Reference materials are held at the Reference Desk.  

Maag Stacks materials are shelved alphabetically by call number on floors 3-6A. Oversize materials are located on the first bank(s) of shelves on each floor. To determine on which floor of the library your item is shelved, use the Building Guide online or signs posted in the Reference Room and by the elevators.

Also, if you scroll down in the item’s record, you will find the Library of Congress Subject Headings under which that book has been classified. By clicking on the listed subject headings, you can find other materials on the same or similar topics.


Finding Books in OhioLINK

Use the OhioLINK Library Catalog to locate items available through other OhioLINK institutions. Available items may be requested and delivered to Maag Library for checkout (allow 3-5 business days delivery time).

Once you have located a book that you would like to request, check the Status column under Library Holdings. You may have to click on Display Holdings of OhioLINK Libraries. As long as one of the libraries lists the book as AVAILABLE, you may request it:

• Click on green Request button.
• Select Youngstown State from dropdown list of institutions and Submit.
• Enter your name.
• Enter your YSU ID# (“Y” number found on your YSU ID).
• Click on green Submit button.

You will see a confirmation screen that tells you if your transaction has been successful. Delivery time is approximately 3 to 5 business days. When your items arrive, an email will be sent to your YSU email account.

To check the status of your request, go to your Library Account and log in using your name and YSU ID#. A request will have one of three statuses: REQUESTED, IN TRANSIT or OHIOLINK RECVD. OHIOLINK RECVD indicates the item is ready for checkout at the Circulation Desk.
Be sure to bring your YSU ID for pickup and checkout.


 Finding Books in SearchOhio (From Ohio Public Libraries)

Use the SearchOhio Catalog to locate items available through the public libraries in Ohio. Available items may be requested and delivered to Maag Library for checkout (allow 3-5 business days delivery time).

As long as one of the libraries lists the book as AVAILABLE, you may request it:

• Click on green Request button.
• Select Youngstown State from dropdown list of institutions and Submit.
• Enter your last name.
• Enter your YSU ID# (“Y” number found on your YSU ID).
• Click on green Submit button.

Finding Electronic Books and Vidio Courses

YSU students, faculty & staff have access to thousands of electronic books through the databases listed below.

O'Reilly Safari Learning Platform(Safari Online Books)
Provides electronic books and Video Courses in computer science, information technology, business, and related fields from O’Reilly, Pearson, and other IT and business publishers. You can download the books, videos into your Apps.

  • To access this database, you need to follow this instruction:
  • Under "Select Your Institution,"
  • Choose "Not Listed?
  • Click Here." Enter your YSU email and click on "
  • Let's Go."**

LinkendIn Learning

LinkedIN an outstanding resource for video-based, online learning. Deep training in software, creative, and business skills.

YSU faculty, staff and student can access all of the courses in any where.You also can download the videos into your Apps and watch it later.

You need a LinkedIn account for LinkedIn Learning. To set up an account, click Join now.
♦ Enter as the email and click Continue.
♦ Click Sign in with Single Sign-On.
♦ Sign in to YSU portal with YSU username & password.

Electronic Book Center
OhioLINK EBC contains the full texts of thousands of scholarly and reference e-books from several publishers, covering many subject areas.

EBSCO Ebook Collection

Includes thousands of titles purchased by OhioLINK, plus thousands of public-domain e-books. Preview an e-book online, peruse a page, read each page in depth, jump to specific chapters or pages, or use links in the Table of Contents or Index to go directly to specific chapters of interest. Every word in every book is searchable. Operates on the library check-out model, where readers check out e-books for a specified amount of time.

Button: SpringerLink
Access to millions of scientific documents from journals, books, series, protocols & reference works.


Wiley Online Library
Multidisciplinary collection of online resources covering life, health and physical sciences, social science, and the humanities. It delivers seamless integrated access to over 4 million articles from 1500 journals, over 11,500 online books, and hundreds of reference works, laboratory protocols and databases.



New Books

  • Foundations of Machine Learning (2ed) Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar
  • Reinforcement Learning (2ed)   ichard S. Sutton and Andrew G. Barto
  • Machine Learning for Data Streams        Albert Bifet, Ricard Gavaldà, Geoff Holmes and Bernhard Pfahringer
  • Elements of Causal Inference: Foundations and Learning Algorithms      Jonas Peters, Dominik Janzing and Bernhard Schölkopf
  • Deep Learning   Ian Goodfellow, Yoshua Bengio and Aaron Courville
  • Introduction to Machine Learning (3ed) Ethem Alpaydin
  • Machine Learning: A Probabilistic Perspective   Kevin P. Murphy
  • Foundations of Machine Learning            Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar
  • Boosting: Foundations and Algorithms  Robert E. Schapire and Yoav Freund
  • Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation Masashi Sugiyama and Motoaki Kawanabe
  • Introduction to Machine Learning, Second Edition            Ethem Alpaydin
  • Probabilistic Graphical Models: Principles and Techniques          Daphne Koller and Nir Friedman
  • Introduction to Statistical Relational Learning    Lise Getoor and Ben Taskar
  • The Minimum Description Length Principle         Peter D. Grünwald
  • Semi-Supervised Learning           Olivier Chapelle, Bernhard Schölkopf and Alexander Zien
  • Gaussian Processes for Machine Learning            Carl Edward Rasmussen and Christopher K. I. Williams
  • Learning Kernel Classifiers: Theory and Algorithms          Ralf Herbrich
  • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond       Bernhard Schölkopf and Alexander J. Smola
  • Principles of Data Mining             David J. Hand, Heikki Mannila and Padhraic Smyth
  • Bioinformatics, Second Edition: The Machine Learning Approach              Pierre Baldi and Søren Brunak
  • Causation, Prediction, and Search, Second Edition            Peter Spirtes, Clark Glymour and Richard Scheines
  • Learning in Graphical Models    Michael I. Jordan
  • Graphical Models for Machine Learning and Digital Communication       Brendan J. Frey
  • Ad Hoc and Sensor Networks: Theory and Applications (2nd ed.)              Carlos de Morais Cordeiro & Dharma Prakash Agrawal
  • An Elementary Approach to Design and Analysis of Algorithms  Lekh Raj & Shalini Vermani
  • An Introduction to Component-Based Software Development   Kung-Kiu Lau & Simone di Cola
  • An Introduction to the Analysis of Algorithms (3rd ed.) Michael Soltys
  • Artificial Intelligence: A Modern Approach (3rd Edition) Stuart Russell et al.
  • Computer Architecture: Digital Circuits to Microprocessors         Guilherme Arroz, Jose Monteiro & Arlindo Oliveira
  • Deep Learning   Ian Goodfellow et al.
  • Deep Learning with R 1st Edition              Francois Chollet
  • Deep-Learning Neural Networks:  Design and Case Studies          Daniel Graupe
  • Dynamic Vision:  From Images to Face Recognition          Shaogang Gong, Stephen J. McKenna, & Alexandra Psarrou
  • Exploring Big Historical Data:  The Historian's Macroscope           Shawn Graham, Ian Milligan, & Scott Weingart
  • Fuzzy Logic Theory and Applications Part 1 and Part 2    Lotfi A Zadeh & Rafik A. Aliev
  • Hands-On Computer Vision        Marc Pomplun
  • Image Processing and Analysis - A Primer             Georgy Gimel'farb & Patrica Delmas
  • Introduction to Evolutionary Informatics              Robert J. Marks II, William A. Dembski, & Winston Ewert
  • Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches Menahem Friedman & Abraham Kandel
  • Logic and Language Models for Computer Science (3rd ed.)         Dana Richards & Henry Hamburger
  • Make Your Own Neural Network             Tariq Rashid
  • Optimization Theory:  A Concise Introduction    Jiongmin Yong
  • Python Machine Learning, 1st Edition     Sebastian Raschka
  • TensorFlow in 1 Day: Make your own Neural Network   Krishna Rungt
  • The Nature of Computation        Cristopher Moore
  • Compilers: Principles, Techniques, and Tools       Alfred V. Aho