IS 597 PRO - Adv Topics Data An & Data Sci - Progr Analytics & Data Process
Variety of newly developed and advanced topics courses within the fields of Data Analytics & Data Science, intended to augment the existing Information Sciences curricula. Course Information: 2 to 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated in the same or separate semesters to a maximum of 16 hours, if topics vary.
Prerequisite: LIS/IS452- Foundations of Information Processing; or equivalent programming knowledge, w/consent of instructor. ### Building on the fundamentals introduced in LIS/IS452, this course adds skills, data structures, tools, & patterns needed for developing & modifying software to solve more complex problems & to improve code maintainability & reliability. These skills are relevant to many types of programming, but many scenarios used will involve data analysis, conversion, validation & processing pipelines. The course helps prepare students for work on larger projects with multiple developers. Includes test-driven design, more OOP design concepts, refactoring, profiling, introductory parallel processing & more. Primarily uses the Python language. Graduate student questions may be sent to firstname.lastname@example.org
Option 1Number of Required Visit(s): 0
Course Level: Graduate