University of North Carolina at Greensboro · Courses
IAC
4 courses with the subject IAC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
IAC 620Algorithm Analysis and Design 3
An examination of topics in algorithm design and analysis including sequential algorithm design and complexity analysis, dynamic programming, greedy algorithms, and graph algorithms. Also covers selected advanced topics from NP-completeness; approximation, randomized, parallel, number-theoretic algorithms; Fast Fourier Transform; computational geometry; and string matching.
Problem-based learning introduction to data science, including programming with data; data mining, munging, and wrangling; statistics, analytics, and visualization towards scientific, social, and environmental challenges.
Big data definitions and characteristics, computing environment for big data management and processing, machine learning models and algorithms, and scaling up machine learning (high dimensionality reduction).
IAC 689Capstone Project in Computational Analytics 3
Capstone course. Students work with local industries and nonprofit organizations to solve important data science problems under the supervision of a mentor.
