Timeroom: Spring 2017

Displaying 61 - 70 of 219 Results for: Attributes = EUNH

COMP 830 (M1) - Object-Oriented Software Development

Object-Oriented Software Devel

Credits: 3.0
Term: Spring 2017 - UNHM Credit (15 weeks) (01/25/2017 - 05/10/2017)
Class Size:   12  
CRN: 57135
Presents an iterative methodology for developing software systems. Development activities include requirements elicitation and analysis, system and object design, implementation and testing, project and configuration management, infrastructure maintenance, and system deployment to the end user. Students work in teams, assume developer roles, build models of a real-world system, and produce proof-of-concepts, prototypes, or system upgrades.
Meets in class and online. Cross listed with COMP 730
Attributes: Online with some campus visits, EUNH
Instructors: Michael Jonas
Start Date End Date Days Time Location
1/25/2017 5/10/2017 W 5:31pm - 8:30pm Pandora Building (UNHM) P128

COMP 835 (M1) - Networking Technologies

Credits: 3.0
Term: Spring 2017 - UNHM Credit (15 weeks) (01/30/2017 - 05/15/2017)
Class Size:   12  
CRN: 57131
Introduces advanced topics in computer networks. The focus is on principles, architectures, and protocols used in modern networked systems, such as routing, quality of service, wireless and mobile networks, large-scale peer-to-peer systems, virtualization, and cloud computing. Students analyze tradeoffs in large and complex networks and design and evaluate networked systems. Concrete experiences of these learning activities are provided through lab and online exercises.
Meets in class and online. Cross listed with COMP 780
Attributes: Online with some campus visits, EUNH
Instructors: Donald Cochrane
Start Date End Date Days Time Location
1/30/2017 5/15/2017 M 6:01pm - 9:00pm Pandora Building (UNHM) P132

COMP 880 (M1) - Top/Speech Project

Credits: 3.0
Term: Spring 2017 - UNHM Credit (15 weeks) (01/25/2017 - 05/10/2017)
Class Size:   4  
CRN: 57134
This course includes topics and emerging areas in computing. Barring duplication of subject the course may be repeated for credit.
Meets in class and online. Cross listed with COMP 790.
Attributes: Online with some campus visits, EUNH
Instructors: Michael Jonas
Start Date End Date Days Time Location
1/25/2017 5/10/2017 W 2:01pm - 4:50pm Pandora Building (UNHM) P132
Durham   UNH-Manchester > Analytics

DATA 557 (01) - Introduction to Data Science and Analytics

Introduction to Analytics

Credits: 4.0
Term: Spring 2017 - UNHM Credit (15 weeks) (01/24/2017 - 05/09/2017)
Class Size:   20  
CRN: 57304
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.
Course will be broadcasted live from the UNH Manchester campus.
Only listed campus in section: Durham
Attributes: Online with some campus visits, Technology GP 3T, EUNH, Environment,Tech&Society(Disc)
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
1/24/2017 5/9/2017 T 3:40pm - 4:50pm 10 Pettee Brook Lane 216
Manchester   UNH-Manchester > Analytics

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

Introduction to Analytics

Credits: 4.0
Term: Spring 2017 - UNHM Credit (15 weeks) (01/24/2017 - 05/09/2017)
Class Size:   18  
CRN: 55691
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.
Meets in class and online. Course will be live at UNH Manchester and broadcasted in UNH Durham
Only listed campus in section: Manchester
Attributes: Online with some campus visits, Technology GP 3T, EUNH, Environment,Tech&Society(Disc)
Start Date End Date Days Time Location
1/24/2017 5/9/2017 T 3:40pm - 4:50pm Pandora Building (UNHM) P505
Durham   Graduate School > Analytics

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

Intro: Applied Analytic Stats

Credits: 3.0
Term: Spring 2017 - E-term III (01/17/2017 - 03/10/2017)
Class Size:   15  
CRN: 57428
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.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Alexander Booth
Start Date End Date Days Time Location
1/17/2017 3/10/2017 On-line course ONLINE
Durham   Graduate School > Analytics

DATA 820 (1BB) - Programming for Data Science

Credits: 3.0
Term: Spring 2017 - E-term III (01/17/2017 - 03/10/2017)
Class Size:   15  
CRN: 57424
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.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Alexander Booth
Start Date End Date Days Time Location
1/17/2017 3/10/2017 On-line course ONLINE
Durham   Graduate School > Analytics

DATA 821 (1BB) - Data Architecture

Credits: 3.0
Term: Spring 2017 - E-term IV (03/20/2017 - 05/11/2017)
Class Size:   15  
CRN: 57425
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.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Scott Valcourt
Start Date End Date Days Time Location
3/20/2017 5/11/2017 On-line course ONLINE
Durham   Graduate School > Analytics

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

Data Mining & Pred Modeling

Credits: 3.0
Term: Spring 2017 - E-term IV (03/20/2017 - 05/11/2017)
Class Size:   15  
CRN: 57426
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.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Alexander Booth
Start Date End Date Days Time Location
3/20/2017 5/11/2017 On-line course ONLINE
Durham   Graduate School > Analytics

DATA 950 (1BB) - Population Health Analytics

Credits: 3.0
Term: Spring 2017 - Full Term (01/24/2017 - 05/08/2017)
Class Size:   30  
CRN: 57194
This on-line course provides students with a foundation in population health principles, strategies and analytics. It provides a tool kit of analytic solutions that address lowering the cost of high needs patients, improving health outcomes, and sustaining population health. The instructional methodologies include brief lectures, multi-media resources, case studies, simulations, hackathons, virtual site visits, discussion forums, use cases, and a demo day.
Attributes: Online (no campus visits), EUNH
Instructors: Dwight McNeill
Start Date End Date Days Time Location
1/24/2017 5/8/2017 On-line course ONLINE