The Co-Founder of Ladies Learning Code and Canada Learning Code talks about strides in Canadian computer science education, AI, the future of coding, and more. Companies use many legacy processes to empower their employees, and that's just one of the many barriers employees face in the workplace. Organizations that prioritize
Hello from Women in Analytics (WIA)! We're featuring SAS' incredibly talented 2023 intern class, featuring 43 interns representing 26 universities, with the majority of these interns working in R&D. WIA has decided to learn more about a couple of the women in this program making big strides this summer– per glowing
More than 100 volunteers from the SAS Young Professionals Network (YPN) led sessions at Wake Forest Elementary school for the annual week-long Hour of Code initiative during Computer Science Education Week (CSEdWeek) to teach kids to code. Students were challenged to work in groups and navigate a Sphero robot through
When students hear the word data, they may envision measurements that scientists collect, or perhaps it has something to do with the social media platforms they love. Many students struggle to understand where data comes from and how it can help us make decisions and better understand our world! They may not make a connection with computer science either. Just as
SAS® CodeSnaps is an easy, affordable, and engaging tool. All you need is one iPad, the free CodeSnaps app, one Sphero robot, and a problem to solve. Students work collaboratively in teams to generate the code required to move the Sphero; they build a program using the printable coding blocks, scan it with the app, and execute the program to check their logic. CodeSnaps is accessible and appropriate for all learners across all disciplines. Get creative and challenge your students to navigate an obstacle course, find members of a word family, explore the digestive system, or travel the Oregon Trail. Your imagination is your only limitation.
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
Ed wants to make sure that the next generation of technology is accessible, and the best way to do that is to ensure the next generation of computer scientists understand the needs of users with disabilities. So, he and I get out of the office on a regular basis to
STEM skills are essential for many of the fastest-growing and most lucrative occupations. And SAS programmers are in high demand in all fields. A number of reports have documented a critical talent shortage, especially for graduates with advanced degrees in math, computer science or computer engineering. (See Running on Empty, Report to
