BSOS385: Big-Data Analysis on the BSOS HPC Cluster
Advanced Programming for the Social Sciences
Summer I 2018 -TuTh 3:30pm-6pm
Course Description: Social media is a primary source of information on social interaction and personal interests. High-performance computing (HPC) is employed to search for hidden patterns and unknown correlations using advanced machine-learning algorithms available in python and R packages. The main steps of Natural Language Processing and big-data analysis are being worked out, from examining random samples to analyzing large data sets via in-memory Monte-Carlo applications and neural networks. The courses will be offered in a non-standard format with 10 hours of instruction per week and four hours per week of online and/or supervised coursework. Open to all BSOS majors. 2-credits.
Course Description: Social media is a primary source of information on social interaction and personal interests. High-performance computing (HPC) is employed to search for hidden patterns and unknown correlations using advanced machine-learning algorithms available in python and R packages. The main steps of Natural Language Processing and big-data analysis are being worked out, from examining random samples to analyzing large data sets via in-memory Monte-Carlo applications and neural networks. The courses will be offered in a non-standard format with 10 hours of instruction per week and four hours per week of online and/or supervised coursework. Open to all BSOS majors. 2-credits.
**ECON-BA majors may use this course for 2 credits of their experiential learning requirement. Please contact an ECON advisor to have your audit updated and to discuss options to complete the last 1 credit of this requirement.
