CIS 3715 - Vaporjawn/Temple-University-Computer-Science-Resources GitHub Wiki

CIS 3715. PRINCIPLES OF DATA SCIENCE. 4 CREDIT HOURS. This course is typically offered in Spring. Introduction to the practice of data science. Students will leave the class with a broad set of practical data analytic skills based on building real analytic applications on real data. Skills include collecting, accessing, and transferring data, applying methods from machine learning and data mining to analyze data, and visualization and presentation of results. The students will gain experience in processing "big data" which are too big to fit in the computer's memory. NOTE: For Computer Science and Information Science and Technology Majors.

Repeatability: This course may not be repeated for additional credits.

Pre-requisites: (CIS 2166|Minimum Grade of C-|May not be taken concurrently OR MATH 2101|Minimum Grade of C-|May not be taken concurrently OR MATH 2103|Minimum Grade of C-|May not be taken concurrently OR ENGR 2011|Minimum Grade of C-|May not be taken concurrently) AND (CIS 1051|Minimum Grade of C-|May not be taken concurrently OR CIS 1057|Minimum Grade of C-|May not be taken concurrently OR CIS 1068|Minimum Grade of C-|May not be taken concurrently OR CIS 1968|Minimum Grade of C-|May not be taken concurrently)