Timeroom: Fall 2020

Displaying 211 - 220 of 1097 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 927 (01) - Software Security Analysis

Software Security Analysis

Can be taken by students who are remote.
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   15  
CRN: 16959
This course covers advanced research topics in software security. The main focus is automatic software analysis techniques, such as symbolic execution, taint analysis, and fuzz testing.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Dongpeng Xu
Start Date End Date Days Time Location
8/31/2020 12/11/2020 TR 11:10am - 12:30pm MURK G17
Durham   Engineering&Physical Sciences :: Computer Science

CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
CRN: 10716
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2020 - Full Term* (08/31/2020 - 12/11/2020)
CRN: 10386
Cr/F.
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged TBA
Durham   Graduate School :: Analytics

DATA 800 (1ON) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2020 - E-term I (08/10/2020 - 10/02/2020)
Class Size:   30  
CRN: 14879
This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
8/10/2020 10/2/2020 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 820 (1ON) - Programming for Data Science

Programming for Data Science

Course Delivery Method: Online (no campus visits), EUNH
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.
You must sign up in the Dept Office before registering through WEBCAT.
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

Course Delivery Method: Online (no campus visits), EUNH
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.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Timothy Chadwick
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

Course Delivery Method: Online (no campus visits), EUNH
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.
You must sign up in the Dept Office before registering through WEBCAT.
Mutual Exclusion : ADMN 872
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

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
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.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Eric Hangen, Sanjeev Sharma
Start Date End Date Days Time Location
8/31/2020 12/11/2020 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

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   30  
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.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged ONLINE