Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

Johns Hopkins University in Baltimore, founded in 1876, is a leading research university with a global reputation for excellence across medicine, public health, engineering, the arts and sciences. The university enrolls around 32,049 students, including approximately 5,233 international scholars, and offers an extensive portfolio of programs—about 238—across undergraduate, graduate and professional levels.

Johns Hopkins emphasizes research-led education, interdisciplinary collaboration and hands-on learning through labs, clinics and community partnerships. International students can access comprehensive support services for admissions, visas, academic advising and career development, and can participate in research opportunities, internships and global exchange programs that enhance professional prospects and real-world experience.

Baltimore’s urban setting provides access to vibrant cultural life, medical centers and industry partners, making it well suited for students interested in translational research and public service. The university’s strong alumni network, career services and industry links help graduates move into competitive roles worldwide, while campus resources support wellbeing, student activities and a diverse international community.

This non-degree program in Linear Algebra is for students who want to learn about matrix algebra, determinants, and eigenvectors. It's a course that lasts several weeks and is taught in English at Johns Hopkins University. The main advantage of this program is that it helps students develop techniques to manipulate matrices algebraically.

The curriculum covers specific subjects like linear transformations, systems of linear equations, and geometry of matrix transformations. Students will develop skills in identifying properties of invertible matrices and relevant subspaces in R^n. The course also includes hands-on components, such as studying the eigenvalues and eigenvectors of matrices, and applying Markov Chains and the Google PageRank Algorithm.

After completing this program, students can pursue careers as Data Scientists, Machine Learning Engineers, Artificial Intelligence Researchers, or Mathematicians. They can work in industries like technology, finance, or academia, and can be employed by companies like Google, Microsoft, or research institutions like universities or think tanks.