Timeroom: Fall 2022

Displaying 61 - 70 of 74 Results for: Subject = ECE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 960 (01) - Computer Architecture

Computer Architecture

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16108
Advanced topics in computer organization. Parallel and pipeline processing, associative and stack computers, microprogramming, virtual memory, current topics.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Dean Sullivan
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MWF 3:10pm - 4:00pm DEM 253
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 992 (01) - Advanced Topics in Electrical Engineering

Adv Topics Electrical Engineer

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 10737
Example of a recent topic: analog VLSI design. May be repeated.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Diliang Chen
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 11:10am - 12:30pm KING N204
Additional Course Details: 

[Topics for Fall 2022

Multi-Sensor Data Fusion for Internet of Things Applications

Instructor:

Diliang Chen, Ph.D.

Office: Kingsbury W207

E-mail: diliang.chen@unh.edu

Office hour: Scheduled on request. Please send me an email to schedule office hour.

Course Description:

Multi-sensor data fusion is a technique of combining and integrating of data from multiple sensors to provide a more accurate and reliable view of data. This course aims to provide both insight understanding of theories and hands-on experiences related to multi-sensor data fusion. Lectures will provide a comprehensive introduction to effective sensor and data fusion methods that improve the probability of object tracking, target detection, classification, and identification. Hands-on projects will enhance the understanding and the application of each data fusion methods.

Credits: 3

Topics Covered:

  • Introduction on estimation theories and sensor fusion
  • Sensor and data fusion architectures
  • Kalman Filter (Linear, Extended, Unscented)
  • Bayesian Networks
  • Particle filter
  • Convolutional Neural Networks

Learning Outcomes:

After taking this course, you will be able to:

  • Understand the advantages of multi-sensor data fusion for object tracking and state estimation
  • Understand the architectures for sensor fusion
  • Be familiar with the processes of Multi-sensor data fusion
  • Identify suitable multi-sensor data fusion algorithms for practical applications
  • Implement different multi-sensor data fusion algorithms with MATLAB
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 10739
Independent theoretical and/or experimental investigation of an electrical engineering problem under the guidance of a faculty member.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA