INFO 4120

INFO 4120

Course information provided by the 2017-2018 Catalog.

This course will introduce students to the field of Ubiquitous Computing -- a multidisciplinary research area that draws from Machine Learning, Machine Perception, Signal Processing, Human Computer Interaction, as well as psychology and sociology. Class discussions and hands on exercises will be the focus of this class with a few formal lectures. Discussions will highlight the various challenges in data collection, representation and tractability of models, and evaluation. We will brain-storm ideas on how future research can go about tackling some of these challenges. Students will be required to lead and critique papers. Everyone will take turns presenting papers and in leading discussions. Participation in discussions will be evaluated as well as mini projects assignments during the term and an end of term final project.


Prerequisites/Corequisites Prerequisite: CS 1112 or equivalent.

Permission Note Primarily for juniors, seniors, and first-year graduate students.

When Offered Spring.

Satisfies Requirement Satisfies track option requirement for INFO majors and minors.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: INFO 6120

  • 3 Credits Graded

  • 11596 INFO 4120   LEC 001

  • Instruction Mode: In Person

    Course materials fee to be determined prior to the regular enrollment period.

  • 12223 INFO 4120   LAB 401

  • Instruction Mode: In Person

  • 12224 INFO 4120   LAB 402

  • Instruction Mode: In Person