Lecture, four hours. Recommended preparation: undergraduate calculus, linear algebra, probability. Overview of most important and beautiful algorithms in numerical analysis, statistics, bioinformatics, and computer science. Emphasis on mathematical derivation, practical complexity analysis, significant applications, and coding in Julia programming language. Big data applications particularly stressed. Letter grading.