Syllabus#
RS6026: Open Science Practices in Remote Sensing (遙測開放科學實踐)
Whyjay Zheng (鄭懷傑), whyjz@csrsr.ncu.edu.tw
Course objectives#
Explore the open science practices that are or will be highlighted in our community.
Share our thoughts about open science and how to improve it for better science collaboration and communication.
Gain hands-on experience in open science through class discussion and term projects.
Format#
Tuesday 10:00 am - 11:50 am at R2-223-1 (for lectures and discussion)
Thursday 1:00 pm - 1:50 pm at R2-115 (mostly hands-on sessions)
The hands-on sessions (labeled 🛠️ in Weekly topics) are on Thursday and require access to a computer. You are welcome to use the computers available in R2-115 or bring your own.
As a class for open science, all written material presented in this class, including handouts, slides, and student term papers, will be available or posted online for public access. Your grade and all the sensitive information will remain private.
Code of conduct#
Diversity, Equity and Inclusion (DEI)#
We will not tolerate any forms of discrimination and harassments during the class.
We encourage conversations about inequality whenever you sense that. This include but is not limited to hidden curriculum and microaggression.
Be respectful about different ideas and perspectives during discussion, and be mindful about your choice of words.
Attribution of work#
Be careful about using the copyrighted material, and make sure you have the permission/license with proper attribution whenever using it.
Do not work with other students for the term project; it must be your sole work unless the instructor gives you permission to do so.
Weekly topics#
This is a tentative schedule; the actual content may change depending on our progress and participants’ needs.
Week 1
9/2: Checking in; course introduction; What is open science? (1)
9/4: 🛠️ Our working environment: Jupyter
Week 2
9/9: What is open science? (2); Open data and beyond (1)
9/11: 🛠️ Achieving 100% reproducibility (1)
Week 3
9/16: NO CLASS (Whyjay out of town)
9/18: NO CLASS (Whyjay out of town) | Self hands-on: 🛠️ Achieving 100% reproducibility
Week 4
9/23: Open data and beyond (2)
9/25: 🛠️ Achieving 100% reproducibility (2)
Week 5
9/30: Path to open academic publishing (1)
10/2: 🛠️ FAIRly share your data and code (1)
Week 6
10/7: Path to open academic publishing (2)
10/9: 🛠️ FAIRly share your data and code (2)
Week 7
10/14: Communicating science (1)
10/16: 🛠️ Writing narrative science
Week 8
10/21: NO CLASS (Whyjay out of town)
10/23: NO CLASS (Whyjay out of town) | Self hands-on: Self hands-on: 🛠️ Writing narrative science
Week 9
10/28: NO CLASS (Whyjay out of town) | Term project: progress write-up due
10/30: NO CLASS (Whyjay out of town)
Week 10
11/4: Term project: progress presentation; Communicating science (2)
11/6: NO CLASS (NCU Sports Day)
Week 11
11/11: NO CLASS (Typhoon)
11/13: NO CLASS (CSRSR field trip)
Week 12
11/18: Reproducing and reusing academic work
11/20: 🛠️ Explorative data visualization (1)
Week 13
11/25: Open data sets in remote sensing, Earth & environmental sciences
11/27: 🛠️ Explorative data visualization (2)
Week 14
12/2: The future of open science?
12/4: 🛠️ Getting and analyzing remotely sensed open data (1)
Week 15
12/9: Term project: final presentation
12/11: 🛠️ Getting and analyzing remotely sensed open data (2)
Week 16
12/16: NO CLASS (Whyjay out of town) | Term project: final write-up due
12/18: NO CLASS (Whyjay out of town)
Grading#
Your grade is entirely based on the class project and is divided into four components:
progress report (write-up): 10%
progress report (oral presentation): 20%
final report (oral presentation): 30%
final report (write-up): 40%
The class attendance won’t affect your final grade except for two oral presentation sessions (11/4 and 12/9; see Late work policy).
Late work policy#
Write-ups: 10% penalty will be applied for each day past the deadline.
Oral presentations: If you are absent on the date of oral presentation, we accept video recordings (shared within the class) as a make-up. However, 20% penalty will be applied for each day past the presentation date.
The policies above may be exempted under special circumstances, such as family emergency or urgent medical conditions with reasonable proof. Please inform the instructor as early as possible should this happens so we can talk about make-up plans accordingly.
Resources#
Office hours#
By appointment, in my office (R3-230).
Textbooks and other resources#
No textbook is required. Reference and other reading/technical resources will be available in the corresponding lecture pages.