CS 1656 INTRODUCTION TO DATA SCIENCE (CS 2056)
This course aims to expose students to different data management, data manipulation, and data analysis techniques. The class will cover all the major data management paradigms (Relational/SQL, XML/XQuery, RDF/SPARQL) including NoSQL and Data Stream Processing approaches. Going beyond traditional data management techniques, the class will expose students to information retrieval, data mining, data warehousing, network analysis, and other data analysis topics. Time-permitting, the class will include Big Data processing techniques, such as the map/reduce framework.
- Credits: 3
- Frequency: At least once a year
- CS 1501 ALGORITHM IMPLEMENTATION (COE 1501)
- Students who have completed CS 1655 are not eligible to enroll in this course.
Requirements and Grading
Programming assignments, class participation, midterm examination, and final examination.
To view the sections for a term, click on it's name below.
|29061(A)||MW||1:00 pm - 2:15 pm||SENSQ 5129||
|29066(A1)||F||9:00 am - 9:50 am||SENSQ 6110||
|29067(A2)||F||1:00 pm - 1:50 pm||SENSQ 6110||