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Summary of Key Features of Anatomedia:

  • Award winning online anatomy resource developed in conjunction with the University of Melbourne. Completed in 2018 and in use across Australia, New Zealand, Asia and Europe in medical schools and ANZ Royal College of Surgery, Royal College of Anaesthetists, Royal College of Obstetricians and Gynaecologists
  • Features Dissection on real bodies
  • Covers the body in 9 modules including General Anatomy
  • Each module of the body features four perspectives:
    • Dissection Perspective
    • Imaging Perspective
    • Regional Perspective
    • Systems Perspective
  • Includes 30,000 identification questions with instant feedback and 6,000 interpretative questions
  • Features Clinical Procedures
  • Instructor Resources and image bank of several thousand images available
  • Mobile via tablet and iPad

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Modern technology has introduced vast amounts of data that can be used to find answers to unlimited intellectual queries, and the ability to analyze data is an increasingly important skill across academic disciplines and the corporate world. The Data Science, Big Data Analytics, and Digital Methods collection covers approximately 120 hours of video covering data science methods, issues and challenges surrounding big data research, and examples and applications of computational social science research (also called social data science).

Data science is a vast field, covering a huge range of statistical techniques and methodological issues, with applications reaching far beyond the social sciences. Given the interdisciplinary nature of the fields of data science, big data analytics, and even computational social science, this video collection features academics from computer science to biology to engineering, but the main focus is on how these methods can teach us something about human behavior and systems.

Topics include:

  • Data Visualization
  • Data Management
  • Data Mining
  • Text Mining, Text Analysis & NLP
  • Digital Humanities
  • Data Curation and Publishing
  • Interdisciplinary Collaborations
  • Calculus and Linear Algebra
  • Probability Models and Methods
  • Statistical Models and Methods
  • Causal Inference
  • Databases and Interfaces
  • Big Data Analytics Tools (Hadoop, Apache Spark)
  • Programming (Python, R)
  • Algorithms
  • Atificial Intelligence, Machine Learning & Deep Learning
  • Computer Vision
  • Human Computer Interaction
  • Ethics, Privacy and Security
  • Ntworks & Social Network Analysis
  • Sensors
  • Spatial Analysis

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These electronic resources are for non-commercial use in your personal research or study only.  Users do not have permission to systematically download or copy large amounts of these resources, thereby creating their own databases; or to distribute these resources to third parties.  For further information on the terms and conditions by which users can access these electronic resources, refer to the terms and conditions information on the electronic resource itself or contact the Library.