Labs/Facilities

Dedicated technology labs provide application-oriented learning experiences with “real-world equipment,” making graduates career-ready and attractive to prospective employers.

By partnering with industry, the technology laboratories are maintained at state-of-the-art levels.  The following is a list of laboratory and computing facilities and the associated tools and equipment that support instruction in the Computer Information Technology and Graphics Department:

This is a teaching laboratory. Lectures and hands-on experiments covering the topics of computer graphics, sketching, and multimedia production and editing take place in this facility. There are 32 Windows 64-bit workstations in this lab. Software installed in this lab includes:

  • 3D CAD, Rendering and Animation: 3DS Max, Maya, Mudbox, Inventor.
  • Graphic Design: Adobe Creative Cloud, GIMP, Axure.
  • Game Design: Unity, Unreal Engine.
  • Programming: Notepad ++, Python, Java Development Kit, Eclipse Oxygen.
  • Computer Forensics: FTK Forensics, Elastic Search.
  • Network Utilities: Wireshark, Putty, Cisco Packet Tracer.
  • Server Applications: SQL Server Express, SQL Management Studio, XAMPP.
  • Simulation/Machine Learning: MATLAB, Praat, Weka.

The lab is also equipped for scanning media.

This is a teaching laboratory. Lectures and hands-on experiments covering the topics of computer networking, programming, database, security, machine learning, and artificial intelligence take place in this facility. There are 30 Windows 64-bit workstations in this lab. Lab equipment includes 16 Mobile Racks (Startech 12U) containing PDU, Patch Panel, Cisco routers, Cisco switches, Cisco Firewall devices. Console cables, passthrough cables and straight through cables for lab interactions.

Lab software includes:

  • Graphic Design: Adobe Creative Cloud.
  • Programming: Visual Studio, VS Code, Python, Visio, Project.
  • Network Utilities: Wireshark, Putty, Cisco Packet Tracer. Server Applications: SQL Server Express, SQL Management Studio, XAMPP.
  • Simulation/Machine Learning: Scholar (Cloud Cluster)

 

 


Powers (PWRS) 129 serves as the primary student workspace for PNW’s National Center of Academic Excellence in Cyber Defense Education. The workspace meets the unique requirements of researching cybersecurity topics, team preparation for collegiate competitions, student research projects in partnership with CIT faculty, and industry-sponsored projects.

The layout provides work surfaces for individuals and both small & large team projects. The furniture is easily relocatable to allow the workspace to be reconfigured for multiple roles. Open floorspace in the layout is reserved for placing Industry 4.0 research equipment.

The DTech Research Workspace supports students to focus on problems that industry encounters in practice… problems for which a solution is unknown and that require a higher level of knowledge and innovation.
 
 
 
 

This is a fully configured teaching laboratory with 28 computers. The lab is equipped with Windows workstations containing the latest version of industry standard software.

Lab software includes:

  • Graphic Design: Adobe Creative Cloud.
  • Programming: Visual Studio, VS Code, Python, Visio, Project.
  • Computer Forensics: FTK Forensics, Elastic Search.
  • Network Utilities: Wireshark, Putty, Cisco Packet Tracer.
  • Server Applications: SQL Server Express, SQL Management Studio, XAMPP.
  • Simulation/Machine Learning: Scholar (Cloud Cluster).

This is a fully configured teaching laboratory with 28 workstations. This lab offers hands-on training covering the topics of Computer Forensics and System Assurance. The lab provides the opportunity to configure routers, investigate security breaches and configure network system security.
Lab software includes:

  • Graphic Design: Adobe Creative Cloud.
  • Programming: Visual Studio, VS Code, Python, Visio, Project.
  • Computer Forensics: FTK Forensics, Elastic Search.
  • Network Utilities: Wireshark, Putty, Cisco Packet Tracer.
  • Server Applications: SQL Server Express, SQL Management Studio, XAMPP.
  • Simulation/Machine Learning: Scholar (Cloud Cluster).