Timeroom: Spring 2021

Displaying 261 - 270 of 1175 Results for: Level = All Graduate
Durham   Paul College of Business&Econ :: Decision Sciences

DS 898 (02) - Topics in Business Analytics

Top/E-Business

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   3  
CRN: 57098
Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: Inchan Kim
Start Date End Date Days Time Location
2/1/2021 5/11/2021 T 5:10pm - 8:00pm PCBE 115
Additional Course Details: 

Covers the concepts, tools, and strategies for understanding the challenges and exploiting the opportunities associated with e-commerce/e-business. Provides an understanding of the technology platform and its components. Additional material covers various models of e-commerce/e-business and its impacts on the firm's performance. 

Durham   Paul College of Business&Econ :: Decision Sciences

DS 898 (1SY) - Topics in Business Analytics

Top/Forecasting Analytics

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 57097
Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
2/1/2021 5/11/2021 W 5:10pm - 8:00pm ONLINE
Additional Course Details: 

The course focuses on Predictive Analytics. Businesses and organizations need to be able to forecast effectively in order to make decisions. Students learn the background necessary to develop forecasts for real-world business situations. An applied, hands-on approach is used in the course. Students learn and use SAS to analyze data and fit models. Topics include regression analysis in forecasting, model building, residual checking, analysis of seasonal and cyclical trends, and times series models. 

Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 815 (1SY) - Introduction to VLSI

Introduction to VLSI

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 56019
Principles of VLSI (Very Large Scale Integration) systems at the physical level. CMOS circuit and logic design, CAD tools, CMOS system case studies. Students exercise the whole development cycle of a VLSI chip: design and layout with the up-to-date commercial EDA tools. An IA (continuous grading) grade is given at the end of semester I.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): EE 815
Instructors: Qiaoyan Yu
Start Date End Date Days Time Location
2/1/2021 5/11/2021 TR 9:10am - 11:00am ONLINE
2/1/2021 5/11/2021 F 5:10pm - 7:00pm ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 817 (01) - Introduction to Digital Image Processing

Intro Digital Image Processing

Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 55237
Digital image representation; elements of digital processing systems; multidimensional sampling and quantization; image perception by humans, image transformations including the Fourier, the Walsh, and the Hough Transforms; image enhancement techniques including image smoothing, sharpening, histogram equalization, and pseudo color processing; image restoration fundamentals; image compression techniques, image segmentation and use of descriptors for image representation and classification. Lab.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): EE 817
Instructors: Richard Messner
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MWF 10:10am - 11:00am HORT 304
2/1/2021 5/11/2021 W 5:10pm - 7:00pm HS G34
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 872 (01) - Control Systems

Control Systems

Online Course Delivery Method: Rotational Attendance
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 50730
Development of advanced control system design concepts such as Nyquist analysis, lead-lag compensation; state feedback; parameter sensitivity; controllability; observability; introduction to non-linear and modern control. Includes interactive computer-aided design and real-time digital control. (Also offered as ME 872.) Lab.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): EE 872, ME 872
Instructors: Se Young Yoon
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MWF 11:10am - 12:00pm MCC 240
2/1/2021 5/11/2021 M 9:10am - 11:00am KING S316
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 872 (02) - Control Systems

Control Systems

Online Course Delivery Method: Rotational Attendance
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 50731
Development of advanced control system design concepts such as Nyquist analysis, lead-lag compensation; state feedback; parameter sensitivity; controllability; observability; introduction to non-linear and modern control. Includes interactive computer-aided design and real-time digital control. (Also offered as ME 872.) Lab.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): EE 872, ME 872
Instructors: Se Young Yoon
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MWF 11:10am - 12:00pm MCC 240
2/1/2021 5/11/2021 F 2:10pm - 4:00pm KING S316
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 884 (01) - Biomedical Instrumentation

Biomedical Instrumentation

Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   3  
CRN: 56021
Principles of physiological and biological instrumentation design including transducers, signal conditioning, recording equipment, and patient safety. Laboratory includes the design and use of instrumentation for monitoring of electrocardiogram, electromyogram, electroencephalogram, pulse, and temperature. Current research topics, such as biotelemetry, ultrasonic diagnosis, and computer applications. Lab.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): EE 884
Instructors: John LaCourse
Start Date End Date Days Time Location
2/1/2021 5/11/2021 W 1:10pm - 2:00pm KING S145
2/1/2021 5/11/2021 W 2:10pm - 5:00pm KING S220
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (1ON) - Master's Thesis

Master's Thesis

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 1.0 to 6.0
Term: Spring 2021 - Full Term* (02/01/2021 - 05/11/2021)
Grade Mode: Graduate Credit/Fail grading
Class Size:   50  
CRN: 50732
May be repeated up to a maximum of 6 credits. Cr/F.
Repeat Rule: May be repeated for a maximum of 6 credits.
Equivalent(s): EE 899
Instructors: Michael Carter
Start Date End Date Days Time Location
2/1/2021 5/11/2021 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (7ON) - Master's Thesis

Master's Thesis

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 1.0 to 6.0
Term: Spring 2021 - Full Term* (02/01/2021 - 05/11/2021)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 55793
May be repeated up to a maximum of 6 credits. Cr/F.
Repeat Rule: May be repeated for a maximum of 6 credits.
Equivalent(s): EE 899
Instructors: Se Young Yoon
Start Date End Date Days Time Location
2/1/2021 5/11/2021 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 899 (8ON) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2021 - Full Term* (02/01/2021 - 05/11/2021)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 57468
May be repeated up to a maximum of 6 credits. Cr/F.
Repeat Rule: May be repeated for a maximum of 6 credits.
Equivalent(s): EE 899
Instructors: Nicholas Kirsch
Start Date End Date Days Time Location
2/1/2021 5/11/2021 Hours Arranged TBA