Timeroom: Spring 2019

Displaying 81 - 90 of 269 Results for: Attributes = EUNH
Durham   Graduate School :: Analytics

DATA 820 (1ON) - Programming for Data Science

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   15  
CRN: 54759
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets. Pre- or Coreq: DATA 800.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Phani Kidambi
Start Date End Date Days Time Location
1/14/2019 3/8/2019 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 821 (1ON) - Data Architecture

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2019 - E-term IV (03/18/2019 - 05/09/2019)
Class Size:   30  
CRN: 54760
In this class, students will learn the foundations of databases and large datasets: upon completion, students will be able to explore out-of-ram datasets though traditional SQL databases and NoSQL databases. Students will also be introduced to distributed computing. All learning objectives are achieved through active application of these techniques to world datasets. Prereq: DATA 800; DATA 820.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Scott Valcourt
Start Date End Date Days Time Location
3/18/2019 5/9/2019 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 822 (1ON) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2019 - E-term IV (03/18/2019 - 05/09/2019)
Class Size:   30  
CRN: 54761
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
3/18/2019 5/9/2019 Hours Arranged ONLINE

DPP 905 (1ON) - Fiscal Management for Development Organizations

Fiscal Management

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   30  
CRN: 56583
Budgeting, goal setting, financial planning and financial analysis for development organizations.
Instructors: Robrecht Vanrijkel, Sanjeev Sharma
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE

DPP 982 (1ON) - Project Management

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   20  
CRN: 52510
Studies how project plan inputs are accurately gathered, integrated, documented and managed; the tools and techniques used in project management; and the outputs of a project plan to viable stakeholders. Considers the development of project scope, work breakdown structures, and the importance of quality, risk, and contingency management in planning development. Prereq: Project Design.
Section Comments: (DPP 982.1BB) This course is taught entirely online.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 704 (1ON) - Electromagnetic Fields and Waves II

Electromagnetc Fields&Waves II

Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   25  
CRN: 54976
Provides an overview of electromagnetics modeling by covering commonly-used numerical solutions to electromagnetics problems. Computational approaches to be covered include the Method of Moments (MoM) for both static and dynamic fields, iterative solutions to Laplace?s equations. Finite Element Methods, high-frequency solutions, and the Finite-Difference, Time-Domain techniques (FDTD). Prereq: ECE 603.
Equivalent(s): EE 704
Instructors: Kent Chamberlin
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 804 (1ON) - Electromagnetic Fields and Waves II

Electromagnetc Fields&Waves II

Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   9  
CRN: 54977
Provides an overview of electromagnetics modeling by covering commonly-used numerical solutions to electromagnetics problems. Computational approaches to be covered include the Method of Moments (MoM) for both static and dynamic fields, iterative solutions to Laplace?s equations, Finite Element Methods, high-frequency solutions, and the Finite-Difference, Time-Domain techniques (FDTD).
Equivalent(s): EE 804
Instructors: Kent Chamberlin
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 900A (1ON) - Research and Development from Concept to Communication I

R&D Concept to Communication 1

Course Delivery Method: Online (no campus visits), EUNH
Credits: 2.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   20  
CRN: 54644
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.
Repeat Rule: May be repeated for a maximum of 4 credits.
Equivalent(s): ECE 900
Instructors: Andrew Kun
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 900B (1ON) - Research and Development from Concept to Communication 2

R&D Concept to Communication 2

Course Delivery Method: Online (no campus visits), EUNH
Credits: 2.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   20  
CRN: 54645
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 two of a two course sequence.
Repeat Rule: May be repeated for a maximum of 4 credits.
Equivalent(s): ECE 900
Instructors: Andrew Kun
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 924 (1ON) - Ubiquitous Computing

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2019 - Full Term (01/22/2019 - 05/06/2019)
Class Size:   20  
CRN: 54149
Ubiquitous computing, or ubicomp, explores embedded, interconnected computinmg devices that are part of everday objects and activities. This course takes an interndisciplinary look at the ubiquitous computing through the review of recent research literature. Topics include the visions of ubicomp and some of its applications, software and hardware for ubicomp, human-computer interaction, context awareness, privacy, and security. Students undertake a ubicomp research project inspired by the literature review.
Instructors: Andrew Kun
Start Date End Date Days Time Location
1/22/2019 5/6/2019 Hours Arranged ONLINE