Facilities
At Humboldt, students go beyond the books and gain real-world experience using on-and off-campus facilities for lab work and research.
Math/CS Lab
BSS 313
The Mathematics and Computer Science Departments maintain a departmental lab that is connected to the campus network for authentication and access to campus and Internet resources. This lab consists of 27 workstations. The campus facilitates Google Drive storage to provide storage for both student and faculty data.
Internet Teaching Laboratory | Networking Lab
BSS 315
The Internet Teaching Laboratory (ITL) was established with a grant of four Internet Backbone routers from CAIDA in 1998. The laboratory has grown to include four racks of sophisticated communications equipment, each with a router, a switch, and a number of local hosts. This facility is connected via an internal network to a laboratory of 20 Windows workstations running Linux virtual machines. Students have root access to the operating systems in order to experiment with network configurations. This laboratory also supports coursework in computer and network security.
Math-CS Study Lounge
BSS 312
The Math-CS student study lounge on the third floor of the BSS building opened in the Spring semester of 2018. The space welcomes Humboldt students taking Math and CS courses who need a comfortable place to study. The space puts students in close enough proximity of the Math and CS faculty to ask for help, as needed, and it is set up to encourage peer-to-peer collaboration. The lounge has several large whiteboards and chalkboards, desks, chairs, textbooks and an incredible view of Humboldt Bay. Several Math faculty regularly hold office hours in the study lounge to encourage students to work there and to get to know others in the major.
NVIDIA GPUs
In addition, a grant from NVIDIA has provided high-performance GPUs (Graphics Processing Units) for student and faculty use. These are installed on a departmental server and are available for use in courses and in student and faculty research, providing the opportunity to experience programming on a powerful parallel architecture.
