Lecture Abstract Information fusion is the process of aggregating knowledge from multiple data sources to produce more consistent, accurate, and useful information than any one individual source can provide. In general, there are three primary sources of data/information: humans, algorithms, and sensors. Typically, objective data—e.g., measurements—arise from sensors. Using these data sources, applications such as . . .
You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Charles Wallace on Wednesday, December 9 from 5:30 to 5:40 p.m. Wallace is associate dean for curriculum and instruction and associate professor of computer science in the College of Computing at Michigan Tech. In his informal discussion, Wallace will talk about computing at Michigan Tech, . . .
Joel LeBlanc, senior research scientist, Michigan Tech Research Institute (MTRI), will present the lecture, “Testing the Validity of Physical (Software) Models in Inverse Problems,” at 3 p.m. Friday, Read the blog post.
Computer Science graduate student Ann Ciesla will present her master’s defense on Tuesday, December 1, 2020 at 5:00 p.m. The presentation is titled, “Digital Skills Assessment: A Tool for Assessing the Digital Literacy of Older Adults.” Ciesla is advised by Associate Professor Charles Wallace, Computer Science. Attend the defense virtually here.