IS 597 CLO - Adv Topics Data An & Data Sci - Command Line Tools
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.
Course is asynchronous, more information will be provided by the instructor, Elizabeth Wickes prior to the start of class. This class will provide an overview of the history and commonly offered command line interfaces and essential shell scripting tools. These approaches will be extended to cover common version control tools, including git and GitHub, their value, and how to appropriately organize a project within them. Pre- and Co-requisites: Some programming experience is required, either demonstrated via previous experience or having completed IS 430-Foundations of Information Processing (formerly known as IS 452-Foundations of Information Processing). Concurrent enrollment within IS 430-Foundations of Information Processing (formerly known as IS 452-Foundations of Information Processing) may be acceptable with instructor approval. Graduate student questions may be sent to firstname.lastname@example.org
Option 1Number of Required Visit(s): 0
Course Level: Graduate
Term(s): Fall , Spring , Summer