| | | |

Computer Science

The Computer Science Department offers courses in theory and practice of software development, as well as the beginning courses for those less familiar with computers. North Hennepin’s CSci classes are taught by professionals who are experienced in the subjects they teach.  Because students have access to industry experts, they achieve the depth of knowledge expected by the job market.

Professor Tatyana Volk

Phone: 763-424-0933

Email: tvolk@nhcc.edu


Ted Volk

 Professor Ted Volk

 Phone: (763) 424-0758

 Email: tvolk2@nhcc.edu


Professor Charlie Gorrill 

Phone: (763) 424-0758

Email: cgorrill@nhcc.edu



Guntis Dombrovskis

 Professor Guntis Dombrovskis

 Phone: (763) 424-0758

 Email: gdombrovskis@nhcc.edu



Professor Jack Pope

Phone: (763) 424-0744

Email: jpopejr@nhcc.edu



Professor Matt Spitzer

Phone: 763-488-0105

Email: mspitzer@nhcc.edu




Professor Sheri Steinke

Phone:  763-424-0758

Email: ssteinke@nhcc.edu



 Professor Boris Sandler

Phone: 763-424-0758

Email: bsandler@nhcc.edu





Tutoring Center

Curious about our tutors?  Get to know them here. 




Department Details
Department: Computer Science
Building: Center for Business & Technology
Main: 763-424-0758

Dombrovskis, Guntis763-488-0430More
Gorrill, Charles763-424-0758More
Peterson, Gary763-424-0844More
Pope, Jack763-424-0744More
Sandler, Boris763-424-0758More
Spitzer, Matthew763-488-0105More
Volk, Tatyana763-424-0933More
Volk, Ted763-424-0758More



Industry News

new algorithmNew algorithm identifies data subsets that will yield the most reliable predictions


Much artificial-intelligence research addresses the problem of making predictions based on large data sets. An obvious example is the recommendation engines at retail sites like Amazon and Netflix.
Tool to better visualize, analyze human genomic data developedA new, web-based tool that enables researchers to quickly and easily visualize and compare large amounts of genomic information resulting from high-throughput sequencing experiments has been developed by researchers.
New prosthetic arm controlled by neural messagesA new prosthetic system aims to identify the memory of movement in the amputee’s brain in order to manipulate the device. Controlling a prosthetic arm by just imagining a motion may now be possible.

Want to share an interesting article??

Submit a link and a breif desription of why you think your article is great.  Send your links here.