This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Certificate Available ✔
Get Started / More Info
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will...
Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something,...
En el proyecto culminante del programa especializado Introducción a la Inteligencia Artificial, los estudiantes aplicarán conceptos adquiridos durante el programa...
A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc. How do we design these complex chips? Answer: CAD software tools. Learn how...