DSpace Repository

Browsing Ontario OER Collection by Subject "Technology - Computer Science"

Browsing Ontario OER Collection by Subject "Technology - Computer Science"

Sort by: Order: Results:

  • Nievergelt, Jurg; Hinrichs, Klaus (The Global Text Project, 2011)
    This is a textbook for first year Computer Science. Algorithms and Data Structures With Applications to Graphics and Geometry.
  • Arya, Ali (2023-11-23)
    As the second book in the Anyone Can Code series, Algorithmic Thinking focuses on the logic behind computer programming and software design. With a data-centred approach, it starts with simple algorithms that work on simple ...
  • Ramazi, Pouria (2023-03-03)
    The aim of the online course Bayesian and Causal Bayesian Networks is to introduce the theory and provide the necessary skills to apply these machine-learning models in practice. With the revelation of artificial intelligence ...
  • Millard, Koreen; Knudby, Anders (2022)
    This course includes advanced topics in remote sensing using open-access tools and freely-accessible data. The focus of this course is on understanding and applying concepts in “big geospatial data analysis” to large-area ...
  • Barysevich, Alena; Bowker, Lynne; Misanchuk, Melanie (eCampusOntario, 2023-10-06)
    Cette REL comprend de brèves explications du fonctionnement et de l’utilisation des grands modèles de langage (GML), tels que ChatGPT. Elle propose aussi des questions de réflexion et des ressources pour approfondir des ...
  • Monaghan, Paul (Teaching Hub, Nipissing University, 2022-02-28)
    Defining the digital humanities (DH) is an elusive task. It is an emerging interdisciplinary field that encompasses humanities scholarship, computation, analysis, and applications. DH is a vast field with many sub-areas ...
  • Carlson, Wayne E. (Ohio State UniversityOhio State University, 2017-06-20)
    This book collects together information and references that point to historical developments in the world of computer graphics. It is used in a history course at Ohio State University, so certain chapters are course-specific. ...
  • Wachowiak, Mark; Wenghofer, Richard; Monaghan, Paul; Hemsworth, Katie; Castle, Ysabel (Teaching Hub, Nipissing University, 2022-02-28)
    Defining the digital humanities (DH) is an elusive task. It is an emerging interdisciplinary field that encompasses humanities scholarship, computation, analysis, and applications. DH is a vast field with many sub-areas ...
  • AbdulHussein, Ali (University of Windsor, 2022-02-28)
    Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in ...
  • Watt, Adrienne; Eng, Nelson (BCcampus, 2014)
    This second edition of Database Design book covers the concepts used in database systems and the database design process. Topics include: The history of databases -- Characteristics and benefits of databases -- Data models ...
  • Wachowiak, Mark P. (Teaching Hub, Nipissing University, 2022-02-28)
    Defining the digital humanities (DH) is an elusive task. It is an emerging interdisciplinary field that encompasses humanities scholarship, computation, analysis, and applications. DH is a vast field with many sub-areas ...
  • Wachowiak, Mark (Teaching Hub, Nipissing University, 2022-02-28)
    Defining the digital humanities (DH) is an elusive task. It is an emerging interdisciplinary field that encompasses humanities scholarship, computation, analysis, and applications. DH is a vast field with many sub-areas ...
  • Wenghofer, Richard (Teaching Hub, Nipissing University, 2022-01-28)
    Defining the digital humanities (DH) is an elusive task. It is an emerging interdisciplinary field that encompasses humanities scholarship, computation, analysis, and applications. DH is a vast field with many sub-areas ...
  • Proctor, Carrie; Wilson, Leneque; Alkins, Samantha; West, Libby; Lowes, Vicki (2023-02-28)
    For full details about this course, please view the Instructor Guide.
  • Ruttenberg-Rozen, Robyn; DiVito, Andrew; Mamolo, Ami; Lovric, Miroslav; Bradbury, Jeremy; Hynes, Katelin (2023)
    This interactive and multi-modal e-course is designed to help instructors of university mathematics and computer science enhance and apply skills for leveraging innovative and inclusive approaches to support experiential ...
  • Sekerinski, Emil (Department of Computing and Software, McMaster University, 2022)
    This is a collection of interactive Jupyter notebooks for teaching software design and, more specifically, concurrent system design on an upper undergraduate level.
  • Wang, Harris (Athabasca University Press, 2023-09)
    This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language. ...
  • Terai, Saif (AC Press, 2023-11-01)
    A workbook to an Introduction to Database Systems, it includes an extensive set of questions to each chapter. Topics include, definitions, normalization, SQL. Examples are in Canadian context, keeping in mind the diverse ...
  • Luk, Vivienne (University of Toronto Mississauga - Forensic Science Program, 2022-02-03)
    Discipline-specific language skills can only be acquired through lessons of the very subject itself and not through general language courses. The Language of Forensics (LoF) resource is an open educational resource tool ...
  • Bigelow, Ross (2022)
    This book is intended to be a pragmatic guide to helping able citizen data scientists to utilize common frameworks and tools to create conversational artificial intelligence experiences for users.

Search DSpace


Advanced Search

Browse

My Account