Timeroom: Fall 2022

Displaying 261 - 270 of 1206 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (07) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   10  
CRN: 15067
May be repeated up to a maximum of 6 credits. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: MD Shaad Mahmud
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (08) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   10  
CRN: 15068
May be repeated up to a maximum of 6 credits. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Richard Messner
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (09) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   10  
CRN: 15069
May be repeated up to a maximum of 6 credits. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Se Young Yoon
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (10) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   10  
CRN: 15070
May be repeated up to a maximum of 6 credits. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Qiaoyan Yu
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (11) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   20  
CRN: 16105
May be repeated up to a maximum of 6 credits. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Dean Sullivan
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 900A (01) - Research and Development from Concept to Communication I

R&D Concept to Communication 1

Credits: 2.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 12883
The course will introduce students to the general tools of scientific research and technical development. The course will also introduce students to tools and practices for reading, writing and reviewing documents that describe completed or proposed scientific research and technical development, as well as tools and practices for giving oral presentations about such documents to different types of audiences. Part one of a two course sequence.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 4 credits.
Equivalent(s): ECE 900
Instructors: Qiaoyan Yu
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MWF 10:10am - 11:00am HS 126
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 915 (01) - Advanced Active Circuits

Advanced Active Circuits

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16556
Investigation of devices and techniques used in advanced circuit design using discrete solid-state devices and integrated circuits. Oscillators, phase-lock systems, low noise techniques, etc.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Wayne Smith
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MWF 2:10pm - 3:00pm KING N328
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 920 (1ON) - Wireless Communication Systems

Wireless Communication Systems

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16384
Principles of wireless communication systems including analysis of radio wave propagation and modeling, large scale and small scale signal fading, cellular communication architectures, multi-access systems, advanced modulation techniques, signal diversity systems, multiple antenna communications, cognitive radio, and software defined radio.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: Nicholas Kirsch
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged ONLINE
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