Merge pull request #12 from leewujung/master

textual changes to applicants/hackweek.md, added curriculum.md

Author: amanda-tan

.jekyll-metadata

@@ -7,42 +7,37 @@ description: In the Oceanhackweek we will explore the intersection of data scien
 permalink: applicant-info.html
 image: ohw18-hacking2.JPG
 ---
-In the Oceanhackweek we will explore the intersection of data science and oceanography through tutorials and hands-on “hacking” projects. In tutorials, we will learn data science tools, cloud computing, visualization,
-and a suite of software assets to interact with the continuous flow of data from the OOI.
-In project sessions, we will immediately put these skills to use by implementing research,
-computation, or visualization ideas in a group setting. Of particular interests are data sets of
-complex temporal-spatial structures or high volume. To best benefit from the program, participants
-are expected to have some experience with Python programming and data analysis.
 
-Come back soon for application info for Oceanhackweek 2019! In the meantime, please read our FAQs to see how you can benefit from Oceanhackweek.
+**I am proficient in Matlab/R/other language but I have not used Python. It has been on my list to learn. Can I apply?**
 
+We want to build an inclusive Oceanography community regardless of people’s language of choice and programming level. Since the event is only one week long, the tutorials will be presented in one language (Python), and participants will benefit the most if they have basic familiarity with this language. We expect that you have gone through the Software Carpentry Python tutorials to get familiar with the syntax in advance of the program.
+=======
 ## FAQs
 
 ---
 
-**I am proficient in Matlab/R/other language but I have not used Python. It has been on my list to learn. Can I still apply?**
+**I do not have any programming experience, how is my application going to be successful?**
 
-We want to build an inclusive Oceanography community regardless of people’s language of choice and programming level. Since the event is only one week long, the tutorials will be presented in one language: (Python), and participants will benefit if they have a very basic familiarity with thise language. We will expect that you to have gone through the Software Carpentry Python Tutorial to get familiar with the syntax in advance of the program.
+We believe that Oceanhackweek participants will benefit the most with some prior programming experience, and might not find the hackweek the best place to learn programming. If you do not have any programming experience we encourage you to start with some local or online training. Check if your institution runs a Software Carpentry workshop, or try learning by going through online resources such as:
+ - [Software Carpentry Python tutorial for novice](http://swcarpentry.github.io/python-novice-inflammation)
+ - [Software Carpentry Python gapminder](http://swcarpentry.github.io/python-novice-gapminder)
 
+Once you have gone through some training you will have a better estimate of whether Oceanhackweek is right for you. We expect that you have basic operational knowledge of Python in advance of the program. The more experience you can obtain before the beginning of the program, the easier it will be to follow the tutorials and contribute to the projects.
 
-
-**I do not have any programming experience, what is the likely of my application being successful?**
-
-If you do not have any programming experience we encourage you to start with some local or online training. Check if your institution runs a Software Carpentry workshop. Or try learning by some of these online resources:
-
-We expect that you have gone through the [Software Carpentry Python Tutorial](http://swcarpentry.github.io/python-novice-inflammation) and have basic operational knowledge of Python in advance of the program. The more experience you can obtain before the beginning of the program, the easier it will be to follow the tutorials and contribute to the projects.
-
+---
 
 **I am an undergrad/first year grad/faculty/etc. Is this program right for me?**
 
 We welcome participants from all career stages. We strongly encourage applications from graduate students, postdocs and early career researchers. There are different ways to contribute to the event: by pitching a project, by your knowledge of data sets, by your computational skills, by your project management skills. We want you to grow/learn during the event! We expect all participants to be engaged in the team projects and focus during the week. If in doubt, simply apply and explain your motivation for participation.
 
-**I work in a ocean engineering/robotics/consulting company. Can I apply?**
+---
+
+**I work in an ocean engineering/robotics/consulting company. Can I apply?**
 
-Make sure to explain your motivation for participation in the application form!. We expect participants from the private sector to pay their own expenses. We will hold an industry panel, so please, mention if you will be interested in participating.
+Make sure to explain your motivation for participation in the application form! We expect participants from the private sector to pay for their own expenses. We will hold a career panel discussion, so please mention if you are interested in participating.
 
+---
 
 **I have strong computational skills but have not worked in oceanography?**
 
 To ensure that participants will be interested in the oceanography problems they are solving and can give back to the field later on, we require that participants have had at least some familiarity or prior experience with oceanography data.
- 

_pages/applicants.md

@@ -0,0 +1,22 @@
+---
+layout: page
+title: 2019 Curriculum
+permalink: curriculum.html
+# description: Hackweek Projects 2018.
+---
+
+Oceanhackweek curriculum consists of hands-on tutorials, visual presentations and collaborative hack projects. Tutorials and presentations will take place mostly in the mornings, with the afternoons devoted to project brainstorming and project work. This year we plan to focus on access strategies for diverse data systems and workflow for interoperating different types of ocean data and models.
+
+The tutorials will be based on the scientific Python stack, which is an ecosystem of interrelated Python packages for scientific computing and analysis. Tentative topics include:
+- Data science and collaboration tools: Git, Conda, Jupyter
+- Interoperating ocean data and models: APIs and ERDDAP servers
+- The landscape of ocean data systems and data access workflow
+- Spatial statistics and geospatial mapping tools: e.g. Rasterio, Gdal
+- Working with data efficiently using open source Python tools: e.g. Xarray, Dask
+- Data visualization tools: e.g. PyViz, Bokeh, Seaborn, Altair
+- Large-scale data analysis tools: e.g. Pangeo, cloud computing
+
+We will also have open discussion sessions on:
+- Code of conduct in collaborative research
+- Reproducible and replicable research
+- Open science challenges and ethics

_pages/curriculum.md

@@ -5,17 +5,17 @@ permalink: hackweek.html
 description: Learn about "hackweek".
 ---
 
-[The hackweek model](https://arxiv.org/abs/1711.00028) has emerged within the data
-science community as a powerful tool
-for fostering exchange of ideas in research and computation by providing training
-in modern data analysis workflows. In contrast to conventional academic conferences
-or workshops, hackweeks are intensive and interactive, facilitated by three core
-components: tutorials on state-of-the-art methodology, peer-learning, and on-site
-project work in a collaborative environment. This setup is particularly powerful for
-sciences that require not only domain-specific knowledge, but also effective computational
-workflows to foster rapid exchange of ideas and make discovery, as has been shown by
-the success of the previous *Astro-*, *Neuro-*, and *Geohackweeks*. This is an excellent match
-with the nature of oceanographic research where data are large and complex and the
-community is diverse and collaborative.
+[The hackweek model](https://arxiv.org/abs/1711.00028) has emerged in the data
+science community as a powerful tool for fostering exchange of ideas in research
+and computation by providing training in modern data analysis workflows.
+In contrast to conventional academic conferences or workshops, hackweeks are intensive
+and interactive, facilitated by three core components: tutorials on state-of-the-art
+methodologies, peer-learning, and on-site project work in a collaborative environment.
+This setup is particularly powerful for sciences that require not only domain-specific
+knowledge but also effective computational workflows to foster rapid exchange of ideas
+and make discovery. This is an excellent match with the nature of oceanographic research
+where data are large and complex and the community is diverse and collaborative.
+The hackweek model was spearheaded by the successful [*Astro-*](http://astrohackweek.org/2019/),
+[*Neuro-*](https://neurohackweek.github.io/), and [*Geohackweek*](https://geohackweek.github.io/).
 
 [See what we did in Oceanhackweek 2018](https://oceanhackweek.github.io/schedule.html).