Ritu Raman, a postdoc in the Langer Lab at MIT, has been honored as one of five recipients of the 2017 L'Oréal USA For Women in Science Fellowship. The L'Oréal USA For Women in Science Fellowship recognizes female scientists at a critical stage in their careers and supports them with $60,000 grants to advance their postdoctoral research. The announcement was made on Oct.10 in conjunction with Ada Lovelace Day -- an annual event aimed at raising the profile of women in STEM. The fellows were chosen based on their intellectual merit, research potential, scientific excellence, and their commitment to supporting women and girls in science. As part of the honor, the recently-selected fellows have the freedom to apply their grants to enhance their postdoctoral research in any way they see fit.
Antonia Novello was the first woman and first Hispanic to serve as U.S. surgeon general. Women-led breakthroughs in science, technology, engineering and mathematics have often been lost or overlooked. Getty Images has released a set of historical images, in honor of Ada Lovelace Day, to remind viewers that these women existed -- and should be a source of inspiration. Despite recent efforts to make sure girls and women have equal access to science education and job opportunities, they are still under-represented: women make up only 29% of the workforce in science, technology, engineering and mathematical occupations, according to the 2016 Science & Indicators Report by the National Science Board.
The impact of science can continue to grow provided our scientists and science professionals are equipped with skills to create an innovative, sustainable and prosperous future. Specifically, a Future of Jobs report by the World Economic Forum indicates that, by 2020, the skills most sought after by employers will include problem solving, creative thinking, emotional intelligence and interpersonal skills. Leadership education can directly enhance the employability of science graduates, as leadership skills are often the same transferable skills sought by employers. We have recently found that science students choose to enhance their science degree with leadership education specifically to increase their employability and job opportunities outside of science.
Manifestations of robotic and AI teaching technology can already be seen in the educational sphere. While robots are unlikely to replace human educators completely -- students will still need social interaction with other humans -- Johnson believes the technology will "push us to rethink, re-evaluate and reimagine what we think a teacher's role is, who a teacher can be and how we value the work that the teacher is doing." Robin Shoop, director of Carnegie Mellon University's Robotics Academy, advocates using robotics to advance computer science, science, technology, engineering and mathematics (CS-STEM) education. "I am most proud of the alumni who have gone on to become engineers and technology teachers who are running FIRST teams of their own," says Jason Rees, a team leader of the FIRST program at Churchville-Chili Central School District in western New York.
People who create this type of technology must be able to build teams, work in teams, and integrate solutions created by other teams. The number of students taking Advanced Placement exams in computer science is growing dramatically, but the 58,000 students taking the AP Computer Science A (APCS-A) test last year still pales in comparison to the 308,000 who took the AP Calculus AB test. Few U.S. high schools now go beyond the core training necessary to prepare for the APCS-A exam, though we have a few stunning success stories -- Stuyvesant High School in New York City, Thomas Jefferson High School for Science and Technology in Alexandria, Virginia, and TAG (The School for the Talented and Gifted) in Dallas, among others. As with science and math, we need governmental standards driving K-12 computer science education, along with textbooks, courses and ultimately a highly trained national cadre of computer science teachers that are tied to those standards.
Since we will be using scientific computing and machine learning packages at some point, I suggest that you install Anaconda. This actually is a reflection of the field of machine learning, since much of what data scientists do involves using machine learning algorithms to varying degrees. Gaining an intimate understanding of machine learning algorithms is beyond the scope of this article, and generally requires substantial amounts of time investment in a more academic setting, or via intense self-study at the very least. For example, when you come across an exercise implementing a regression model below, read the appropriate regression section of Ng's notes and/or view Mitchell's regression videos at that time.
The team was chosen for its design and development of a new four-course online professional certification program called Architecture and Systems Engineering: Models and Methods to Manage Complex Systems. Nine faculty members from MIT and more than 25 industry experts from Boeing, NASA, IBM, Apple, General Electric, General Motors, and other companies developed content for the courses. To earn a certificate, students must complete four courses: Architecture of Complex Systems; Models in Engineering; Model-Based Systems Engineering: Documentation and Analysis; and Quantitative Methods in Systems Engineering. ASEE, the award sponsor, created the Excellence in Engineering Education Collaboration Awards to demonstrate best practices in collaboration that enhance engineering education.
To transfer to California State University, community college students generally must show evidence of completing an approved, quantitative reasoning course with "an explicit intermediate algebra prerequisite." In 2009, the California Community Colleges system raised its elementary algebra minimum and also began requiring demonstrated math competency at the level "typically known as Intermediate Algebra ... or another mathematics course at the same level, with the same rigor." Some schools, like Pierce College and College of the Canyons, have experimented with programs such as the Carnegie Foundation's Statway and those developed by the California Acceleration Project -- courses in statistics and data analysis designed for majors not in math or science as a way to reach college-level quantitative reasoning without getting stuck in non-credit remedial courses or completing a traditional intermediate algebra course. Cal State administrators have been open to exploring alternative pathways for some majors: As a pilot, the system has accepted some transfers who completed the Statway program, and a few campuses are currently piloting the statistics approach for their own remedial math students.
A new program called Project Icarus is teaching kids how to build drones, while at the same time helping them grow in STEM fields, which focus in science, technology, engineering and mathematics. Seven-year-old Ava builds her drone at a Project Icarus workshop. Dani Dias' seven-year-old daughter Ava participated in a Project Icarus workshop. The drone program helped Ava grow, her mother said.
A smart machine made by a company in Chengdu, Sichuan province, took the math test of the national college entrance examination, or gaokao, on Wednesday. AI-MATHS is an artificial intelligence program developed in 2014, based on cutting-edge big data technology, artificial intelligence and natural language recognition from Tsinghua University. Before Wednesday's test, the developer had the machine answer 12,000 math questions to improve its logical reasoning and computer algorithms. In February, AI-MATHS took a math test with Grade 3 students at Chengdu Shishi Tianfu High School and scored 93, slightly higher than the passing grade of 90.