✅ Manage your projects
✨

✅ Manage your projects

Oct 23, 2023·
Quan Nguyen
Quan Nguyen
· 2 min read
Image credit: Unsplash
blog

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!

Ideation

Hugo Blox supports a Markdown extension for mindmaps.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
  - Hugo Blox
  - netlify
  - netlify-cms
  - slides
```

renders as

- Hugo Modules
  - Hugo Blox
  - netlify
  - netlify-cms
  - slides

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done,    des1, 2014-01-06,2014-01-08
Active        :active,  des2, 2014-01-07, 3d
Parallel 1   :         des3, after des1, 1d
Parallel 2   :         des4, after des1, 1d
Parallel 3   :         des5, after des3, 1d
Parallel 4   :         des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
  - [x] Write diagram example
- [ ] Do something else

renders as

  • Write math example
    • Write diagram example
  • Do something else

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Quan Nguyen
Authors
Quan Nguyen
Assistant Professor of Computing Science

I am a tenure-track Assistant Professor in the Computer Science department at Thompson Rivers University. My research centers on the impact of generative AI on the learning behavior and outcome in computer science education. Before joining TRU, I was a Postdoctoral Fellow at the UBC Master of Data Science, where I developed and taught a variety of data science courses, including those on statistical inference, machine learning, and technical communication. In addition to teaching, I coordinated the capstone program, facilitating student collaborations with industry partners on real-world data science projects.

Prior to UBC, I worked as a Postdoctoral Fellow in Learning Analytics at the School of Information, University of Michigan. My research focuses on analyzing students social interactions and peer effects from spatio-temporal large scale data. My work has been recognized with competitive grants, and multiple best paper awards at prominent conferences, including LAK18 and HCI International 17.

I hold a PhD in Learning Analytics at The Open University UK, a BSc and MSc in Economics from Maastricht University, Netherlands.