Research in IT

Research in Information Technology

A post-graduate (level 8) Computing Systems paper and an open learning opportunity from
Assoc. Prof Michael Verhaart of the EIT Hawkes Bay, New Zealand

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edit   Facilitator(s) Dr. Michael Verhaart, Assoc. Prof, EIT Hawke's Bay, New Zealand Hi everyone. Next Semester (Semester 2, 2013) I have been assigned to take a Post graduate "Research in IT" Course. At the moment I am creating the course framework. If you are interested in being involved or have comments I would be really pleased to hear from you. I am hoping this course will involve a lot of researchers and will be able to record and use your experiences. For example, if you are "into" say design research and can do a short 5-15 min video or presentation (slideshare?) that can be included that would be fabulous. Also, it would be fantastic to get a list of researchers who would be happy to do a live stream to classes. If you want to add a quick comment or give me some feedback you can use this Google document. edit   Objectives The aim of Research in Information Technology is to provide students with a framework for applied research in IT which can be used to conduct research relating to a current strategic computing issue. Identify an applied research topic which relates to a current computing issue, develop a research proposal and communicate the proposal in an oral presentation. Conduct the research and present it as a report or academic article Communicate a summary of the research in an oral presentation edit   Microblog virtualmv Blog RSS Failed to load RSS feed from http://virtualmv.wordpress.com/feed/|short|date|max=5: Error fetching URL: Maximum (0) redirects followed Twitter RSS: vmvwiki Failed to load RSS feed from https://script.google.com/macros/s/AKfycbwL-IrX1z9h3IQBOOMJ8GnJ831l9VwU0s4nB6Pzvitet39ib89P/exec?action=search&q=vmvwiki|short|date|max=100: Error parsing XML for RSS

edit   Course materials Week 1: Overview Week 2: Research Question | Methodologies Week 3: Planning | Literature review Week 4: Data Collection & Analysis Week 5: Issues Topics Tools and techniques Academic writing Reviewing Abstract (Tiny Text) edit   Activities ? edit   Assessments ? edit   Related content ?