Timeroom: Fall 2020

Displaying 81 - 90 of 311 Results for: Attributes = EUNH
Durham   Graduate School > Analytics

DATA 820 (1ON) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Fall 2020 - E-term I (08/10/2020 - 10/02/2020)
Class Size:   30  
CRN: 14878
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.
Attributes: Online (no campus visits), EUNH
Instructors: Phani Kidambi
Start Date End Date Days Time Location
8/10/2020 10/2/2020 Hours Arranged ONLINE
Durham   Graduate School > Analytics

DATA 821 (1ON) - Data Architecture

Data Architecture

Credits: 3.0
Term: Fall 2020 - E-term II (10/13/2020 - 12/08/2020)
Class Size:   30  
CRN: 14880
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.
Attributes: Online (no campus visits), EUNH
Instructors: Scott Valcourt
Start Date End Date Days Time Location
10/13/2020 12/8/2020 Hours Arranged ONLINE
Durham   Graduate School > Analytics

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

Data Mining & Pred Modeling

Credits: 3.0
Term: Fall 2020 - E-term II (10/13/2020 - 12/08/2020)
Class Size:   30  
CRN: 14877
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.
Mutual Exclusion : ADMN 872
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
10/13/2020 12/8/2020 Hours Arranged ONLINE

DPP 902 (1ON) - Economic Analysis for Development

Economic Analysis

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/14/2020)
Class Size:   30  
CRN: 14916
This course provides the practitioner with tools of economic analysis that are necessary for effective community development practice. Drawing upon principles of macroeconomics, the course explores how markets, property rights, political institutions, government policies, environmental conditions and cultural values interact to produce development outcomes.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Attributes: Online (no campus visits), EUNH
Instructors: Eric Hangen, Sanjeev Sharma
Start Date End Date Days Time Location
8/31/2020 12/14/2020 Hours Arranged ONLINE
Additional Course Details: 

COURSE CONTEXT AND DESCRIPTION

This course provides tools and concepts from the field of economics (mostly microeconomics) that participants can apply to their work in community development.  Topics we will touch on include consumer choice theory, the theory of efficient markets, theories of market failure, behavioral economics, game theory, economic base theory, cost-benefit analysis, and economic inequality.  For each of these topics, we will examine how these concepts can inform community development practitioners as they develop and implement strategies to improve people’s lives and communities.  We will also explore various techniques for working with data and conducting empirical research to support community development strategy development.  The course is not a complete overview of the field of economics or even a complete introductory course in microeconomics or econometrics.  Rather, it seeks to show how “thinking like an economist” can yield insights to support community development practitioners in their work.  No previous coursework in economics is required, and no advanced skills in mathematics are required beyond basic high-school algebra.

Course meets over ZOOM on Wednesdays, 5:30 PM - 7:00 PM, every two weeks starting Wednesday September 9.

 

Sept 9

Sept 23

Oct 7

Oct 21

Nov 4

Nov 18

Dec 2

Dec 16

DPP 981 (1ON) - Project Design and Planning

Project Design and Planning

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/14/2020)
Class Size:   20  
CRN: 12240
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 projects. Prereq: DPP 980.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Attributes: Online (no campus visits), EUNH
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
8/31/2020 12/14/2020 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences > Electrical&Comp Engineering

ECE 714 (1HY) - Introduction to Digital Signal Processing

Intro Digital Signal Process

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/14/2020)
Class Size:   53  
CRN: 10977
Introduction to digital signal processing theory and practice, including coverage of discrete time signals and systems, frequency domain transforms and practical spectral analysis, digital filter terminology and design, and sampling and reconstruction of continuous time signals. Laboratory component providing an introduction to DSP design tools and real-time algorithm implementation. Prereq: ECE 634. Lab.
Equivalent(s): ECE 714H, EE 714
Attributes: Online with some campus visits, EUNH
Instructors: Wayne Smith
Start Date End Date Days Time Location
8/31/2020 12/14/2020 Hours Arranged ONLINE
8/31/2020 12/14/2020 T 2:10pm - 3:00pm KING S145
Durham   Engineering&Physical Sciences > Electrical&Comp Engineering

ECE 814 (1HY) - Introduction to Digital Signal Processing

Intro Digital Signal Process

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/14/2020)
Class Size:   19  
CRN: 10980
Introduction to digital signal processing theory and practice, including coverage of discrete time signals and systems, frequency domain transforms and practical spectral analysis, digital filter terminology and design, and sampling and reconstruction of continuous time signals. Laboratory component providing an introduction to DSP design tools and algorithm implementation. Lab.
Equivalent(s): EE 814
Attributes: Online with some campus visits, EUNH
Instructors: Wayne Smith
Start Date End Date Days Time Location
8/31/2020 12/14/2020 Hours Arranged ONLINE
8/31/2020 12/14/2020 T 2:10pm - 3:00pm KING S145
Durham   Engineering&Physical Sciences > Electrical&Comp Engineering

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

R&D Concept to Communication 1

Credits: 2.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/14/2020)
Class Size:   20  
CRN: 14014
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
Attributes: Online (no campus visits), EUNH
Instructors: Richard Messner
Start Date End Date Days Time Location
8/31/2020 12/14/2020 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences > Electrical&Comp Engineering

ECE 920 (1HY) - Wireless Communication Systems

Wireless Communication Systems

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/14/2020)
Class Size:   20  
CRN: 15929
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.
Attributes: Online with some campus visits, EUNH
Instructors: Nicholas Kirsch
Start Date End Date Days Time Location
8/31/2020 12/14/2020 Hours Arranged ONLINE
8/31/2020 12/14/2020 Hours Arranged TBA

ECN 411W (M1) - Introduction to Macroeconomic Principles

Intro to Macroeconomic Prin

Credits: 4.0
Term: Fall 2020 - UNHM Credit (15 weeks) (08/31/2020 - 12/14/2020)
Class Size:   25  
CRN: 13367
Studies how an economy functions. Develops measures and theories of economic performance to study such issues as unemployment, inflation, international trade and finance, and the level of national production. Examines government policies designed to correct for unemployment and inflation with close attention to the use of fiscal and monetary policies in the U.S.
Equivalent(s): ECN 411
Mutual Exclusion : ECON 401, ECON 401H
Colleges not allowed in section: Paul College of Business&Econ
Attributes: Writing Intensive Course, Social Science (Discovery), Online with some campus visits, EUNH
Instructors: Thomas Birch
Start Date End Date Days Time Location
8/31/2020 12/14/2020 MW 9:01am - 10:30am PANDRA P128