Timeroom: Fall 2024

Displaying 191 - 200 of 368 Results for: Campus = Manchester
Manchester   Coll of Professional Studies :: Cybersecurity Policy Risk Mgmt

CPRM 880 (M1) - Cybersecurity Metrics and Evaluation

Cybersec Metrics & Evaluation

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 12879
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.
Section Comments: This section is for students enrolled in MS CPRM. Tech requirements: microphone and webcam. No books to buy--this is an "open education" course, and all materials will be provided digitally (for no additional cost). This is an asynchronous online graduate course in a short, intensive 8-week format with firm deadlines. If you have problems with registration, contact program administrator Kathy Carlman at katherine.carlman@unh.edu or (603) 641-4102.
Prerequisite(s): CPRM 870 with minimum grade of B- May be taken concurrently
Cross listed with : CPRM 880.M2
Classes not allowed in section: Freshman, Junior, Sophomore, Senior
Only listed majors in section: CYBR SEC PRM
Instructors: Maeve Dion
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Cybersecurity Policy Risk Mgmt

CPRM 880 (M2) - Cybersecurity Metrics and Evaluation

Cybersec Metrics & Evaluation

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 13999
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.
Section Comments: This section is for graduate students who are enrolled in other programs (not CPRM majors). Tech requirements: microphone and webcam. No books to buy--this is an "open education" course, and all materials will be provided digitally (for no additional cost). This is an asynchronous online graduate course in a short, intensive 8-week format with firm deadlines. If you have problems with registration, contact program administrator Kathy Carlman at katherine.carlman@unh.edu or (603) 641-4102.
Prerequisite(s): CPRM 870 with minimum grade of B- May be taken concurrently
Cross listed with : CPRM 880.M1
Classes not allowed in section: Freshman, Junior, Sophomore, Senior
Majors not allowed in section: CYBR SEC PRM
Instructors: Maeve Dion
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Cybersecurity Policy Risk Mgmt

CPRM 890 (M1) - Organizations, Change Management, and Leadership

Org Change & Leadership

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 12882
This course examines both private and public institutions as systems whose effectiveness depends on how an organization adapts to opportunities, threats, and demands (external and internal). Students explore the design and leadership of ethical and socially responsible organizations. In course examples and exercises, students will apply this knowledge to their respective research interests (e.g., cybersecurity, analytics, criminal justice, public health, etc.).
Section Comments: This section is for students enrolled in MS CPRM. Tech requirements: microphone and webcam. No books to buy--this is an "open education" course, and all materials will be provided digitally (for no additional cost). This is an asynchronous online graduate course in a short, intensive 8-week format with firm deadlines. If you have problems with registration, contact program administrator Kathy Carlman at katherine.carlman@unh.edu or (603) 641-4102.
Cross listed with : CPRM 890.M2
Classes not allowed in section: Freshman, Junior, Sophomore
Only listed majors in section: CYBR SEC PRM
Instructors: Nathaniel Jensen
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Cybersecurity Policy Risk Mgmt

CPRM 890 (M2) - Organizations, Change Management, and Leadership

Org Change & Leadership

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 14000
This course examines both private and public institutions as systems whose effectiveness depends on how an organization adapts to opportunities, threats, and demands (external and internal). Students explore the design and leadership of ethical and socially responsible organizations. In course examples and exercises, students will apply this knowledge to their respective research interests (e.g., cybersecurity, analytics, criminal justice, public health, etc.).
Section Comments: This section is for graduate students who are enrolled in other programs (not CPRM majors). Tech requirements: microphone and webcam. No books to buy--this is an "open education" course, and all materials will be provided digitally (for no additional cost). This is an asynchronous online graduate course in a short, intensive 8-week format with firm deadlines. If you have problems with registration, contact program administrator Kathy Carlman at katherine.carlman@unh.edu or (603) 641-4102.
Cross listed with : CPRM 890.M1
Classes not allowed in section: Freshman, Junior, Sophomore, Senior
Majors not allowed in section: CYBR SEC PRM
Instructors: Nathaniel Jensen
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Cybersecurity Policy Risk Mgmt

CPRM 898 (M1) - Capstone Project

Capstone Project

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13752
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.
Section Comments: This section is for students enrolled in MS CPRM. Tech requirements: microphone and webcam. No books to buy--this is an "open education" course, and all materials will be provided digitally (for no additional cost). This is an asynchronous online graduate course in a short, intensive 8-week format with firm deadlines. If you have problems with registration, contact the instructor.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Prerequisite(s): (CPRM 720 with minimum grade of B- or CPRM 820 with minimum grade of B- ) and CPRM 880 with minimum grade of B- and (CPRM 790 with minimum grade of B- May be taken concurrently or CPRM 890 with minimum grade of B- May be taken concurrently)
Classes not allowed in section: Freshman, Junior, Sophomore, Senior
Only listed majors in section: CYBR SEC PRM
Instructors: Karl Grindal
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

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

Introduction to Analytics

Online Course Delivery Method: Hybrid / Blended
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 11765
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: Environment,Tech&Society(Disc)
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
8/26/2024 12/9/2024 M 1:10pm - 3:00pm PANDRA P367
8/26/2024 12/9/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13440
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, ANALYT DS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13441
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.
Prerequisite(s): DATA 800 with minimum grade of B- May be taken concurrently
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Phani Kidambi
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13442
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.
Prerequisite(s): DATA 800 with minimum grade of B- and DATA 820 with minimum grade of B-
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13443
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.
Prerequisite(s): DATA 800 with minimum grade of B- and DATA 820 with minimum grade of B- and DATA 821 with minimum grade of B- May be taken concurrently
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE