Timeroom: Fall 2020

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

Durham Graduate School > Development Policy&Practice

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

Durham Graduate School > Development Policy&Practice

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

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

Manchester UNH-Manchester > Economics-UNHM

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