Scalable Data Analytics

3 credits · Undergraduate Programs

Sources and characteristics of large scale data, i.e., "big data", large scale data analysis, benefits of large-scale data analysis to various industry domains, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large-scale data processing, application of large scale data algorithms in selected application domains, e.g., Web user behaviour analysis and text processing, analytics frameworks. Prerequisite(s): 3 units from Computer Science 319, 331 or Software Engineering for Engineers 338; and 3 units from Software Engineering 300, 301 or Software Engineering for Engineers 480. Antirequisite(s): Credit for Software Engineering 550 and 501.05 will not be allowed.