Social Network Analysis. 3 credits, 3 contact hours

Catalog description

Prerequisites: ( CS 100 or CS 106 or CS 101 or CS 103 or CS 104 or CS 113 or CS 115 or BME 210 or SDET 101 or BNFO 135 ) and ( MATH 105 or MATH 120 or MATH 225 or MATH 244 or MATH 279 or MATH 305 or MATH 333 or IE 331 or ECE 321 or MNET 315 or MATH 101 or MATH 107 or MATH 108 or MATH 110 or MATH 111 or MATH 112 or MATH 113 or MATH 135 or MATH 138 or MATH 238 or MGMT 116 ). In this intensive hands-on course, students will learn how to design computer programs to “grab” information from social networking systems such as Facebook, and analyze this to reveal useful but hidden information about the users and their interconnections. Since math is the only language that computers understand, the goal of this class is to build connections between the human language one finds in social network postings and profiles, and mathematical formulas. The skills and techniques utilized in the course will prepare students for advanced courses in data mining and business analytics. This course requires basic statistical knowledge and Java programming skills.