INF 385T - Special Topics in Information Science: Data Wrangling from Excel to SQL & Beyond

Spring 2017
Unique ID: 27998
Syllabus:   Syllabus
Prof:  Howison, James
Room: UTA 1.210A
Days:  Tue Thur
Time: Tues 3-4:30, Thurs 10:30-12

Graduate standing. Additional prerequisites may vary with the topic.

Study of the properties and behavior of information. Technology for information processing and management.

Three lecture hours a week for one semester.

May be repeated for credit when the topics vary.

Topic Description:
Data Wrangling from Excel to SQL & Beyond

In the enrollment system the course is restricted to iSchool students, to ensure that they can enroll. Students outside the iSchool are welcome provided there is space and should write to the instructor for permission to enroll. Before writing, please note that, for pedagogical reasons, the class is not for students with existing training or experience in programming, it is for beginners. As such I do not accept students from technical units on campus (Computer Science, Engineering, Operations Research, Statistics and Data Science among others) and will consider students from other units on an individual basis. Doctoral students from the sciences and humanities, who expect to need data skills for their research, are particularly encouraged to write.

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