Princeton offers free courses in analytics, cybersecurity
Princeton University joins the league of many other Ivy League universities, including Harvard and MIT to offer free online courses via online education providers such as Coursera and edX.
Through this online learning offering, students from all over the world can upskill themselves without the constraints of location and cost. The courses will be available on edX, Coursera, and Kadenze.
The free online courses by Princeton University covers topics from cryptocurrency to computer science.
Students can opt to enrol in the university’s course on Bitcoin and cryptocurrency technologies which is a course that will give students a look into how Bitcoin works and answer some of the most pressing questions on the cryptocurrency.
This course tackles the subject of Bitcoin and cryptocurrency on a technical level which will give students a sound working knowledge of Bitcoin and other cryptocurrencies.
Students who complete the course can also develop the conceptual foundations needed to engineer secure software that interacts with the Bitcoin network.
The online courses also provide educators with an opportunity for educators to expand the scope of their impact on students.
Students who are interested to develop their programming skills can opt to enrol in the university’s Computer Science: Programming with a Purpose free course.
This course is useful for students who want to learn programme within a scientific context where students will develop a proficiency in Java programming and will also learn other fundamental programming concepts.
The course will also introduce basic programming elements such as variables, conditionals, loops, arrays, and I/O. Then, they delve into functions with key concepts such as recursion, modular programming, and code reuse.
The university also offers a course on algorithms, titled Analysis of Algorithms which teaches a calculus that enables precise quantitative predictions of large combinatorial structures.
This course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.
In the first part of the course, students will learn about elementary data structures, sorting, and searching algorithms with an emphasis on the applications and scientific performance analysis of Java implementations.
The second part of the course focuses on graph- and string-processing algorithms.
The university also offers a course titled Analytic Combinatorics that teaches a calculus that enables precise quantitative predictions of large combinatorial structures.
The course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.