Difference between revisions of "CMSC320 - Introduction to Data Science"
From CS 400 Level Course Wiki
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| − | | [http://jpdickerson.com/ John Dickerson] || style="vertical-align:top;" | 0101 || TuTh 3:30PM - 4:45PM || style="vertical-align:top;" | [http://maps.umd.edu/map/index.html?Welcome=False&MapView=Detailed&LocationType=Building&LocationName=406 CSI | + | | [http://jpdickerson.com/ John Dickerson] || style="vertical-align:top;" | 0101 || TuTh 3:30PM - 4:45PM || style="vertical-align:top;" | [http://maps.umd.edu/map/index.html?Welcome=False&MapView=Detailed&LocationType=Building&LocationName=406 CSI 3117]<br> |
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Revision as of 12:50, 12 October 2016
Specialization: Data Science
Course Information
An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of several topics including statistical data analysis, basic data mining and machine learning algorithms, large-scale data management, cloud computing, and information visualization.
| Instructor | Section | Day & Time | Location |
|---|---|---|---|
| John Dickerson | 0101 | TuTh 3:30PM - 4:45PM | CSI 3117 |
Course Prerequisite(s)
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250. Restriction: Permission of CMNS-Computer Science department.
Class Webpage
Prior Years Class Webpage.
Hours Per Week
Languages Used
Recommended Prior Experience
Projects, Exams, or other Assessments
Misc Info