Charles Darwin University
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Communicating at University
[http://www.cdu.edu.au/cdupress/books/communicating-at-3ed.htm] This third edition of the volume aims to ensure that students in any field of higher education have a good foundation in the academic communication skills required to succeed at university and in professional settings. It explains how they should go about:? Writing in an academic style? Thinking and planning for assignments? Developing effective reading and critical evaluation techniques? Note-taking, paraphrasing and summarising? Referencing? Editing for correct grammar, punctuation and conciseness? Writing the different assignments required at university: essays, reports, annotated bibliographies and critiques? Communicating verballyThe text is written by experts in the fields of Applied Linguistics and Academic Literacy who are actively engaged in related teaching and research at Charles Darwin University. The authors have used an approach that embeds the information being taught in discussion and activities. This allows students to gain a deep understanding of what they are learning, and experience in how to put this into practice. The text is designed so that students can learn the skillstaught independently. It is also a complete resource for teachers of academic literacy.
Charles Darwin in Australia
Author: F. W. Nicholas
language: en
Publisher: Cambridge University Press
Release Date: 2002-05-06
Early in 1836 Charles Darwin spent two months in Australia as part of his voyage around the world on the Beagle. During this time he visited the town of Sydney, travelled on horseback across the Blue Mountains to Bathurst, visited Hobart in Tasmania, and called into King George Sound in Western Australia. Darwin met with several of the leading figures of the Australian colonies, including members of the King and Macarthur families in Sydney, and Alfred Stephen and George Frankland in Hobart.
Malware Analysis Using Artificial Intelligence and Deep Learning
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.