Winter Bootcamp
University of Auckland
10 - 14 July 2017
Code - Data - Digital Research Skills
10 - 14 July 2017
Code - Data - Digital Research Skills
Winter Bootcamp is a week long training and education event co-ordinated by the Center for eResearch where you can up-skill in a whole host of topics related to digital research practice. Workshops and seminars range from two-day intensive and hands-on Software Carpentry programmes for general audiences, through to short informational or networking sessions. Browse the menu below to see what's on and register for sessions. Places are limited so don't delay.
Workshop hosts include the Centre for eResearch, Libraries and Learning Services, CLeaR, the New Zealand eScience Infrastructure, Faculty of Science and Faculty of Medical and Health Sciences
If you have any questions about Winter Bootcamp, please contact Cameron (ca.mclean@auckland.ac.nz) or Sina (s.ansari@auckland.ac.nz) at the Centre for eResearch.
Software Carpentry's mission is to help researchers get more done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
This workshop outlines the characteristics of an effective academic poster. It also provides practical tips for designing a poster that can be entered into the annual Exposure poster competition or be displayed at an academic conference.
Introduction to research data management concepts, and the support and services at the University of Auckland. Aimed at researchers, particularly those embarking on their research career or starting a new research project. Attendees will develop strategies for capturing and organising research data, explore options around publishing, sharing and reusing data, and have an opportunity to draft a Data Management Plan.
Good data organization is the foundation of any research project. We often organize data in spreadsheets in the ways that we as humans want to work with the data, but computers require data be organized in particular ways. In order to use tools that make computation more efficient, such as programming languages like R or Python, we need to structure our data the way that computers need the data. Since this is where most research projects start, this is where we want to start too!
Preparing data for analysis is an important part of the research workflow. Some of this involves data cleaning, where errors in the data are identifed and corrected or formatting made consistent. OpenRefine is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another.
This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.
Have you ever wondered how Siri translates speech to text or how Facebook suggests your friends in a photo you upload? The answer is machine learning; specifically, deep learning. Keras is a powerful, easy-to-use library written in Python for developing and evaluating deep learning models. It wraps the efficient numerical computation libraries like Theano and TensorFlow and allows you to define and train neural network models in a few short lines of code. In this session, we will discuss how to create your first neural network model in Python using Keras.
Smartphones have changed the way we live drastically. Besides the benefits they have brought to our daily lives. Smartphones potentially can be utilised as powerful data collecting and analysing platforms in many research areas, because of their ubiquity, connectivity and mobility. In this lesson, we will introduce the fundamentals of mobile phone application development. Both Android and iPhone will be covered. In addition, several cases will be studied to show how can we use smartphones to collect research data.
Know the value of parallelising your code but not sure where to start, or maybe you're not even sure how parallelisation could help your research? OpenMP provides an API for parallelising your research on your desk-top. In this workshop we will discuss how this could help your research and start to take you through how to approach using OpenMP. Bring along your laptop and be prepared to optimise your research!
Do your computations take too long on your laptop? Do you want to offload long-running simulations to a different computer? Are there computations you cannot run on your desktop because you don't have enough memory or compute power? Find out about the University of Auckland's Research Virtual Machine Service. We'll talk about what a research virtual machine is, how you work with a virtual machine, how a virtual machine can help you with your research, and how to request one.
Now that you understand the value of parallelising your code, this session will discuss how this approach can be applied to distributed-memory machines (i.e. taking your parallel code from your desktop to an HPC system).
Learn about using multiple social media platforms to communicate your research, as well as using social media to drive your research’s economic, societal and environmental impact.
Explore reference management tools and resources available at the University of Auckland, such as RefWorks, EndNote, Zotero and Mendeley. Discover how to maximise their use when researching, reading, writing and disseminating your research. This will be a hands on session with plenty of opportunity for questions.
LaTeX is a document preparation system based on the TeX markup language. It enables high-quality typesetting of complex mathematical formulas, multi-lingual symbols, creation of graphics and wider flexibility in editing large portions of text. This workshop will introduce you to LaTeX at an elementary level, including key functionalities, templates, basic coding, style files, inserting citations and applying referencing styles.
Have you ever tried to publish information as documents on the web? Semantic publishing is profoundly changing the very nature of how knowledge is produced and shared. Join us for an introductory workshop to learn about the semantic web technologies and the copyright issues on the open web.
This is a practical workshop designed to reinforce three key points you need to understand before you enter into an agreement with a publisher.
This workshop will cover the following topics:
This workshop will cover the following topics:
Session will provide an introduction to IP, the patent process, and touch on related collaborative research and commercial issues. Find out what support is available to you.
Interested in open access? Heard of open data? Ready for a refresher on open licensing? Join Mandy Henk, the Public Lead for Creative Commons Aotearoa New Zealand to talk about what the open access movement means for you and your career. Whether you are a new researcher working on that first publication or an experienced academic, this workshop will leave you more confident in making choices about where you publish and how you manage your rights.
"So you can load your data into R. What next?" The R language is a powerful and versatile tool with which to analyse data, but learning to use it fluently can be challenging. Targeting individuals who have been introduced to R but don't know how to take the next step, this workshop aims to equip participants with the skills to easily ask questions of their data. Leveraging the power of 'tidy data' discussion will centre on the conceptual underpinnings and implementation of the dplyr and ggplot2 packages which form the core of the tidyverse suite of tools.
This workshop will introduce some commonly used processes for project management in an agile manner. Having a basic understanding of project management will allow you to manage your own projects better and also work more effectively as part of a team.
This hands-on session is an introduction to High Performance Computing (HPC) using one of the clusters provided by New Zealand eScience Infrastructure. You will learn how to access and use the cluster. You will submit computational jobs using job scheduler, learn how to transfer your data between the cluster and your storage.
The training is addressed at researchers with no prior experience with HPC. You can attend if you do not have an account on NeSI yet. We will provide you with training accounts. However, we strongly advise that you have some basic command line skills. Please check this Software Carpentry material before the workshop.
SETUP INSTRUCTIONS - This is a hands-on workshop and the participants are required to bring their own laptops to be able to follow the instruction. If you are running Windows on your laptop, please install MobaXterm before the workshop. If you are running Mac OS or Linux, you don't need to install anything.
Join us in a fun and interactive session and try out some of LaTeX ‘advanced’ features, such as applying mathematical formulas and equations, setting tables and figures, creating and formatting matrices, applying multilingual text, drawing graphics, plotting charts and more
‘UX’ – have you seen this abbreviation and wondered what it is all about? Are you planning on designing a webpage for your research that engages people? Do you want to improve an online learning experience? This is an introduction to what user experience research and design is, starting from scratch. In a 2-hour workshop we will:
Are you using an MPI application? Are you developing any MPI code? Do you want to understand the scalability issues and improve the efficiency of your jobs? Then this is the perfect session for you!
Can you practise open science and commercialise your research? There are two messages that you may be exposed to as a researcher; 1) you should identify and disclose research that could be commercialised and, 2) you should practise open science. At first glance these messages seem contradictory, for instance, commercialisation relies on the protection of intellectual property whilst open science requires making scientific research and outputs accessible to all society. This talk asks the question: can open science and commercialisation be undertaken at the same time or are they mutually exclusive?
The session will reflect on the strategies you may want to consider to develop your own digital presence, to support your professional activities. Managing your presence online and through social media gives other people the chance to know you and your work. Not everyone is comfortable to have an "online presence" and sometimes the boundaries between personal and professional are blurred. Therefore, it is important to decide for yourself how to cultivate and maintain your personal brand and reputation. Making connections with others, sharing your ideas and contributions online, can be of benefit to the wider community of practitioners and scholars.