Timeroom: Spring 2025

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Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 899 (06) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2025 - Full Term - Grad Thesis (01/21/2025 - 05/05/2025)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 51500
Master's Thesis.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Kent Chamberlin
Start Date End Date Days Time Location
1/21/2025 5/5/2025 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 899 (07) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2025 - Full Term - Grad Thesis (01/21/2025 - 05/05/2025)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 52682
Master's Thesis.
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
1/21/2025 5/5/2025 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 899 (08) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2025 - Full Term - Grad Thesis (01/21/2025 - 05/05/2025)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 53013
Master's Thesis.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Nicholas Kirsch
Start Date End Date Days Time Location
1/21/2025 5/5/2025 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 899 (09) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2025 - Full Term - Grad Thesis (01/21/2025 - 05/05/2025)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 53014
Master's Thesis.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Edward Song
Start Date End Date Days Time Location
1/21/2025 5/5/2025 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 899 (10) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2025 - Full Term - Grad Thesis (01/21/2025 - 05/05/2025)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 53064
Master's Thesis.
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
1/21/2025 5/5/2025 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 899 (11) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2025 - Full Term - Grad Thesis (01/21/2025 - 05/05/2025)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 53512
Master's Thesis.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Diliang Chen
Start Date End Date Days Time Location
1/21/2025 5/5/2025 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 941 (01) - Digital Signal Processing

Digital Signal Processing

Credits: 3.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56487
Discrete-time stochastic signals, signal modeling, parameter estimation, optimal filtering and decision making, with application to adaptive filters, echo cancellation, channel equalization and parametric spectral estimation. Requires prior coursework in discrete-time LTI systems, analysis and design of recursive and non-recursive linear digital filters, and Fournier based spectral estimation.
Instructors: Wayne Smith
Start Date End Date Days Time Location
1/21/2025 5/5/2025 MWF 11:10am - 12:00pm KING N129
Click to see:   Booklist
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 992 (01) - Advanced Topics

Advanced Topics

Credits: 1.0 to 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56488
Special course covering advanced topics in electrical and computer engineering. Refer to section description for details about the covered topics. Course may be repeated, but not in duplicate subjects.
Instructors: Edward Song
Start Date End Date Days Time Location
1/21/2025 5/5/2025 TR 2:10pm - 3:30pm KING N345
Additional Course Details: 

Title: Microelectromechanical Systems (MEMS) and their applications

Description: The objective of this course is to introduce to the students the topics of miniaturized (micro- and nanoscale) systems and devices for various applications in the areas of sensors and actuators. This course will discuss the fundamentals of micro- and nanoscale systems and how they differ from the macroscopic systems. Modeling and design challenges will be discussed from the physics, engineering and the material science perspectives. Topics covered will include semiconductor materials and devices, techniques of microfabrication and photolithography, commercial MEMS devices, microfluidics and lab-on-a-chip systems, biosensors,  microactuators, and other related topics.

Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering
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ECE 992 (02) - Advanced Topics

Advanced Topics

Online Course Delivery Method: Online Asynchronous
Credits: 1.0 to 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56490
Special course covering advanced topics in electrical and computer engineering. Refer to section description for details about the covered topics. Course may be repeated, but not in duplicate subjects.
Instructors: Andrew Kun
Start Date End Date Days Time Location
1/21/2025 5/5/2025 Hours Arranged ONLINE
Additional Course Details: 

Title: Human-Computer Interaction and the Future of Work

Description: Advances in computing technology are rapidly changing the way we work. Workers need advanced human-computer interaction (HCI) to successfully interact with emerging computing devices. This interdisciplinary course will build an understanding of how advanced HCI will support work in the future, and how it will also allow workers to balance work and wellbeing.