Timeroom: Spring 2020

Displaying 61 - 70 of 283 Results for: Attributes = EUNH

CPRM 860 (M1) - Incident Response and Investigation

Incident Response & Inv.

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Class Size:   20  
CRN: 55424
This course fosters cybersecurity incident response and investigative knowledge, from both the organizational and system perspective. Material includes laws, standards, codes of behavior and best practices for incident response, including the management of relationships (e.g., regulators, clients, vendors). Case studies are presented and discusses in light of organizational resource limitations, legal mandates, and jurisdictional boundaries. Prereq: CPRM 830. Pre- or Co-req: CPRM 850.
Section Comments: Tech requirements: microphone & webcam. Students not in the CPRM program must have permission from the CPRM Coordinator Maeve Dion
Only listed majors in section: CYBR SEC PRM
Attributes: Online (no campus visits), EUNH
Instructors: Raymond Tramposch
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Additional Course Details: 

Students not in the CPRM program must have permission from the CPRM Coordinator Maeve Dion: maeve.dion@unh.edu

Short 8-week format. Firm deadlines for assignments spread throughout the 8 weeks.

CPRM 870 (M1) - Cybersecurity Risk Management

Cybersecurity Risk Management

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Class Size:   20  
CRN: 55427
This course establishes foundations for addressing cybersecurity as a risk management concept and process, and as a component of overall risk management within an organization. Students will become familiar with theories of risk and methods of risk management, as well as frameworks/models for applying these theories and methods to cybersecurity. Prereq: CPRM 840 and CPRM 860.
Section Comments: Tech requirements: microphone & webcam. Students not in the CPRM program must have permission from the CPRM Coordinator Maeve Dion
Only listed majors in section: CYBR SEC PRM
Attributes: Online (no campus visits), EUNH
Instructors: Kathryn Condello
Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE
Additional Course Details: 

Students not in the CPRM program must have permission from the CPRM Coordinator Maeve Dion: maeve.dion@unh.edu

Short 8-week format. Firm deadlines for assignments spread throughout the 8 weeks.

CPRM 880 (M1) - Cybersecurity Metrics and Evaluation

Cybersec Metrics & Evaluation

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Class Size:   20  
CRN: 55428
This course provides an overview of analytical techniques for the documentation and evaluation of cybersecurity metrics, and the incorporation of such assessments in organizational risk management. Students will become familiar with methods for cybersecurity evaluation and the translational impacts to function and mission success of an organization (business, public administration, homeland security, etc.); as well as processes for security measurements, comparisons, and reassessments for purposes of risk management. Pre- or Co-req: CPRM 870.
Section Comments: Tech requirements: microphone & webcam. Students not in the CPRM program must have permission from the CPRM Coordinator Maeve Dion
Only listed majors in section: CYBR SEC PRM
Attributes: Online (no campus visits), EUNH
Instructors: Maeve Dion
Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE
Additional Course Details: 

Students not in the CPRM program must have permission from the CPRM Coordinator Maeve Dion: maeve.dion@unh.edu

Short 8-week format. Firm deadlines for assignments spread throughout the 8 weeks.

CPRM 898 (M1) - Capstone: Non-Thesis Option

Capstone: Non-Thesis Option

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Class Size:   1  
CRN: 56937
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: Tech requirements: microphone & webcam
Instructor permission required.
Only listed majors in section: CYBR SEC PRM
Attributes: Online (no campus visits), EUNH
Instructors: Maeve Dion
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   UNH-Manchester > Analytics

DATA 557 (1HY) - Introduction to Data Science and Analytics

Introduction to Analytics

Credits: 4.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Class Size:   20  
CRN: 54147
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: Brennan Donnell
Start Date End Date Days Time Location
1/21/2020 5/4/2020 Hours Arranged ONLINE
1/21/2020 5/4/2020 T 3:40pm - 5:40pm PBLANE 216
Durham   Graduate School > Analytics

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

Intro: Applied Analytic Stats

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Class Size:   15  
CRN: 54192
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.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   Graduate School > Analytics

DATA 820 (1ON) - Programming for Data Science

Programming for Data Science

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Class Size:   15  
CRN: 54189
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.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Phani Kidambi
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   Graduate School > Analytics

DATA 821 (1ON) - Data Architecture

Data Architecture

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Class Size:   30  
CRN: 54190
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.
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
3/16/2020 5/7/2020 Hours Arranged ONLINE
Durham   Graduate School > Analytics

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

Data Mining & Pred Modeling

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Class Size:   30  
CRN: 54191
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
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE

DPP 905 (1ON) - Fiscal Management for Development Organizations

Fiscal Management

Credits: 3.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Class Size:   15  
CRN: 55247
Budgeting, goal setting, financial planning and financial analysis for development organizations.
Attributes: Online (no campus visits), EUNH
Start Date End Date Days Time Location
1/21/2020 5/4/2020 Hours Arranged ONLINE