Join us for our online, wildlife-based coding (编码) workshops! Our coding expert will lead participants through exciting data science and coding activities related to real topics in marine biology and wildlife conservation. Participants must be girls who are 9-18 years old, live in Atlantic Canada and have access to a computer and good Wi-Fi connection. No prior (先前的) knowledge is needed!
Exploring Data to Protect Sharks
Junior: ages 9-12
This workshop will introduce data and data collection using Canadian shark and skate species as an example. We’ll learn about how coding is used in research on sharks and conservation, and use our data to code simple charts and maps.
Sunday, January 26th, 9:30 am-12:00 pm, 1:30 pm-4:30 pm
Conserving Wildlife with Coding
Intermediate: ages 12-15
This workshop will focus on data science and communication in wildlife conservation, or how we study wildlife and how we share that research. We’ll learn about real applications, like dashboards and other relevant apps, and discuss a variety of careers in wildlife conservation.
Saturday, February 23rd, 9:00 am-12:00 pm, 1:00 pm-4:00 pm
Machine Learning for Marine Biologists
Advanced: ages 15-18
This workshop will introduce how machine learning is used in marine biology. We’ll learn about different applications of machine learning in marine conservation research, do some simple coding of statistics, and review a real research project that uses machine learning for species identification. We’ll also talk about careers in machine learning and marine biology.
Sunday, March 29th, 9:00 am-12:00 pm, 2:00 pm-5:00 pm
1. What is the requirement for the participants in the workshop?
A.They must know wildlife well. |
B.They must be under the age of 12. |
C.They must use a computer and Wi-Fi to work. |
D.They must have relevant experience and knowledge. |
2. What does the second workshop concentrate on?
A.Advanced communication with animals. |
B.How to create a map. |
C.Introduction of a new machine. |
D.Data science in wildlife protection. |
3. What will a participant most probably do if she is aged 18?
A.Do research on Canadian shark. |
B.Make simple ocean maps and charts. |
C.Use machine learning to identify wildlife species. |
D.Learn about different careers in wildlife conservation. |