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

Fall 2015
Unique ID: 27784
Syllabus:   Syllabus
Prof:  Howison, James
Room: UTA 1.210A
Days:  Tue Thur
Time: 9:00 am - 10:30 am

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

Data Wrangling changes in in Fall 2015:

- further reduce emphasis on SQL (probably 30% of course rather
than 50%)
- increase time on Excel and python
- introduce unit on R (particularly data analyses and graphs)
- increase in discussion of data in real organizations

Since I'm de-emphasizing SQL I'll be happy to have students who have already taken one of the Database Management classes in the course. As always, however, I won't allow enrollments from computer science or software engineering: Data Wrangling will remain a "from scratch" teaching environment for all of the topics. Note that, if you have some programming experience, this means that the intro weeks for programming can be quite slow.

Old Syllabus URL:

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