Timeroom: Fall 2019

Displaying 91 - 100 of 307 Results for: Attributes = EUNH

CPRM 898 (M2) - Capstone: Non-Thesis Option

Capstone: Non-Thesis Option

Credits: 3.0
Term: Fall 2019 - E-term II (10/14/2019 - 12/10/2019)
Class Size:   1  
CRN: 17800
This capstone integrates all disciplines and competencies that have been learned in this degree program, plus the student's past experiences, areas of specialization, and professional goals, into a single work-based project, internship experience, or other appropriate activity. In consultation with an advisor, each student develops a project plan, establishes goals and objectives; collects and analyzes information; and prepares and delivers a final project agreed upon by the student and advisor. Prereq: CPRM 720 / CPRM 820 and CPRM 880. Pre- or Co-req: CPRM 790 / CPRM 890.
Section Comments: Scheduled appointments. Tech requirements: microphone & webcam
Instructor permission required.
Attributes: Online (no campus visits), EUNH
Instructors: Maeve Dion
Start Date End Date Days Time Location
10/14/2019 12/10/2019 Hours Arranged ONLINE
Manchester   UNH-Manchester > Analytics

DATA 557 (M1) - Introduction to Data Science and Analytics

Introduction to Analytics

Credits: 4.0
Term: Fall 2019 - UNHM Credit (15 weeks) (08/26/2019 - 12/16/2019)
Class Size:   20  
CRN: 13886
An introduction to data science and analytics. The landscape of analytics, including an overview of industries and sectors using analytics or expected to use analytics in the near future. Data generation, data management, data cleaning, and data preparation. Ethical use of data. Focus on visual and exploratory analysis. Project-based, with an emphasis on collaborative, experiential learning. Programming and statistical software will be used, but previous experience is not required.
Attributes: Online with some campus visits, EUNH, Environment,Tech&Society(Disc)
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
8/30/2019 12/13/2019 F 10:01am - 11:50am PANDRA P341
Durham   Graduate School > Analytics

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

Intro: Applied Analytic Stats

Credits: 3.0
Term: Fall 2019 - E-term I (08/12/2019 - 10/04/2019)
Class Size:   30  
CRN: 15986
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.
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
8/12/2019 10/4/2019 Hours Arranged ONLINE
Durham   Graduate School > Analytics

DATA 820 (1ON) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Fall 2019 - E-term I (08/12/2019 - 10/04/2019)
Class Size:   30  
CRN: 15985
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
8/12/2019 10/4/2019 Hours Arranged ONLINE
Durham   Graduate School > Analytics

DATA 821 (1ON) - Data Architecture

Data Architecture

Credits: 3.0
Term: Fall 2019 - E-term II (10/14/2019 - 12/10/2019)
Class Size:   30  
CRN: 15987
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
10/14/2019 12/10/2019 Hours Arranged ONLINE
Durham   Graduate School > Analytics

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

Data Mining & Pred Modeling

Credits: 3.0
Term: Fall 2019 - E-term II (10/14/2019 - 12/10/2019)
Class Size:   30  
CRN: 15984
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
10/14/2019 12/10/2019 Hours Arranged ONLINE

DPP 902 (1ON) - Economic Analysis for Development

Economic Analysis

Credits: 3.0
Term: Fall 2019 - Full Term (08/26/2019 - 12/09/2019)
Class Size:   30  
CRN: 16046
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
8/26/2019 12/9/2019 Hours Arranged ONLINE

DPP 981 (1ON) - Project Implementation

Project Implementation

Credits: 3.0
Term: Fall 2019 - Full Term (08/26/2019 - 12/09/2019)
Class Size:   20  
CRN: 12535
Students will begin implementation activities in field placement communities. Regular progress reports and online postings will be required. Prereq: Project Design.
Section Comments: 100% online; no campus visits required.
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
8/26/2019 12/9/2019 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 2019 - Full Term (08/26/2019 - 12/09/2019)
Class Size:   54  
CRN: 11092
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 633. Lab.
Equivalent(s): ECE 714H, EE 714
Attributes: Online with some campus visits, EUNH
Instructors: Wayne Smith
Start Date End Date Days Time Location
8/26/2019 12/9/2019 M 11:10am - 12:00pm KING N121
8/26/2019 12/9/2019 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences > Electrical&Comp Engineering

ECE 724 (1ON) - Ubiquitous Computing Fundamentals

Ubicomp Fundamentals

Credits: 4.0
Term: Fall 2019 - Full Term (08/26/2019 - 12/09/2019)
Class Size:   30  
CRN: 14479
Ubiquitous computing, or ubicomp, explores embedded, interconnected computing devices that are part of everyday objects and activities. This course takes an interdisciplinary look at the foundations of ubiquitous computing. Topics include software and hardware for ubicomp, human-computer interaction in ubicomp, and issues related to privacy and security in ubicomp. Students undertake a research project inspired by the material. Registration by permission only.
Attributes: Online (no campus visits), EUNH
Instructors: Andrew Kun
Start Date End Date Days Time Location
8/26/2019 12/9/2019 Hours Arranged ONLINE