Description
Welcome to CPSC 310, 3 Credits - Data Mining!
Spring 2019
CPSC 310 is an introductory course in data mining. In this course, we use the Python programming language to explore the fundamental concepts and techniques of data mining, with an emphasis on introducing widely-used algorithms for classifying, clustering, and finding association rules in structured data.
[From the course catalog]
CPSC 310 - Special Topics
Credits: 3.00
College: School of Engineering/Appl Sci
Department: Computer Science
Pre-requisites: CPSC 122 Minimum Grade: D
Spring 2019
CPSC 310 is an introductory course in data mining. In this course, we use the Python programming language to explore the fundamental concepts and techniques of data mining, with an emphasis on introducing widely-used algorithms for classifying, clustering, and finding association rules in structured data.
[From the course catalog]
CPSC 310 - Special Topics
Credits: 3.00
College: School of Engineering/Appl Sci
Department: Computer Science
Pre-requisites: CPSC 122 Minimum Grade: D
General Information
Instructor
Instructor: Gina Sprint, PhD
Office: Herak 309B
Office phone number: (509) 313-3535
Email: sprint@gonzaga.edu
Office Hours: M, W, F 2:00pm-3:00pm, Tu 11:00am - 12:00pm, and by appointment
Office: Herak 309B
Office phone number: (509) 313-3535
Email: sprint@gonzaga.edu
Office Hours: M, W, F 2:00pm-3:00pm, Tu 11:00am - 12:00pm, and by appointment
Class Time and Location
Section 01: M, W, F 1:10pm - 2:00pm Herak 223
Course Materials
Course materials (lesson notes, in class code, assignments, etc.) are available in a Google Drive folder accessible from this link (no Google account required): https://goo.gl/kJPXje
The syllabus is available in the Google Drive folder, or at this link: https://goo.gl/tUYfwQ
The schedule is available in the Google Drive folder, or at this link: https://goo.gl/MaegWi
More course materials listed under the Resources tab in Piazza.
The syllabus is available in the Google Drive folder, or at this link: https://goo.gl/tUYfwQ
The schedule is available in the Google Drive folder, or at this link: https://goo.gl/MaegWi
More course materials listed under the Resources tab in Piazza.
Blackboard
Turn in assignments and view grades in Blackboard: https://learn.gonzaga.edu/
GitHub and GitHub Classroom
Turn in programming assignments via a Github repository in Github Classroom: https://classroom.github.com/classrooms/46269773-gonzagacpsc310-spring2019
Access code derived in class here: https://github.com/GonzagaCPSC310
Access the GitHub repo through nbviewer (nice for viewing Jupyter Notebooks because sometimes I use HTML tags in the Notebooks that Github doesn't render) here: https://nbviewer.jupyter.org/github/GonzagaCPSC310/?flush_cache=true
Access code derived in class here: https://github.com/GonzagaCPSC310
Access the GitHub repo through nbviewer (nice for viewing Jupyter Notebooks because sometimes I use HTML tags in the Notebooks that Github doesn't render) here: https://nbviewer.jupyter.org/github/GonzagaCPSC310/?flush_cache=true
Acknowledgements
I would like to thank Dr. Shawn Bowers for sharing his course materials with me when I was designing this course.
Staff Office Hours
Gina Sprint
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