Timeroom: Summer 2022

Manchester UNH-Manchester :: Computing Technology

COMP 898 (M1) - Master's Project

Master's Project

Credits: 3.0
Term: Summer 2022 - Summer Session II (05/23/2022 - 07/29/2022)
Grade Mode: Letter Grading

Class Size: 1
CRN: 71086

Guided project on a topic which has been approved as a suitable subject for a master's project. Supervision and advising by faculty in the Computing Technology program. Completion of 24 credits in the major.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Instructors: Timothy Chadwick

Start Date	End Date	Days	Time	Location
5/23/2022	7/29/2022		Hours Arranged	TBA

Manchester UNH-Manchester :: Cybersecurity Policy Risk Mgmt

CPRM 850 (M1) - Security Measures II

Security Measures II

Online Course Delivery Method: Online (no campus visits), EUNH

Can be taken by students who are remote.

Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading

Class Size: 18
CRN: 70395

This course continues surveying common technological and organizational measures for cybersecurity, with a focus on detection and organizational relationships. Topics include auditing and log records; monitoring and testing for threat detection; vulnerability scans; and the security of external services (e.g., cloud providers) and supply chains. We do not focus on how to technically implement these measures. Students assess organizational impacts and explore how best practices and standards can help manage such measures. Pre- or Co-req: CPRM 830.

Section Comments: Tech requirements: microphone & webcam. Cross listed with CPRM 750.

Department Approval Required. Contact Academic Department for permission then register through Webcat.

Only listed majors in section: CYBR SEC PRM

Instructors: Raymond Tramposch

Start Date	End Date	Days	Time	Location
5/23/2022	7/15/2022		Hours Arranged	ONLINE

Additional Course Details:

Students in other programs are welcome to request permission from CPRM program advisor Prof. Maeve Dion at maeve.dion@unh.edu.

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

Manchester UNH-Manchester :: Cybersecurity Policy Risk Mgmt

CPRM 860 (M1) - Incident Response and Investigation

Incident Response & Inv.

Online Course Delivery Method: Online (no campus visits), EUNH

Can be taken by students who are remote.

Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading

Class Size: 20
CRN: 70396

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

Department Approval Required. Contact Academic Department for permission then register through Webcat.

Only listed majors in section: CYBR SEC PRM

Instructors: Randall Magiera

Start Date	End Date	Days	Time	Location
5/23/2022	7/15/2022		Hours Arranged	ONLINE

Additional Course Details:

Students in other programs are welcome to request permission from CPRM program advisor Prof. Maeve Dion at maeve.dion@unh.edu.

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

Manchester UNH-Manchester :: Cybersecurity Policy Risk Mgmt

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

Org Change & Leadership

Online Course Delivery Method: Online (no campus visits), EUNH

Can be taken by students who are remote.

Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading

Class Size: 18
CRN: 70279

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: Tech requirements: microphone & webcam. Cross listed with CPRM 790.

Department Approval Required. Contact Academic Department for permission then register through Webcat.

Only listed majors in section: CYBR SEC PRM

Instructors: Nancy Grant

Start Date	End Date	Days	Time	Location
5/23/2022	7/15/2022		Hours Arranged	ONLINE

Additional Course Details:

Students in other programs are welcome to request permission from CPRM program advisor Prof. Maeve Dion at maeve.dion@unh.edu.

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

Durham Engineering&Physical Sciences :: Computer Science

CS 800 (01) - Internship

Internship

Credits: 1.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Graduate Credit/Fail grading

Class Size: 10
CRN: 70224

Provides an opportunity to apply academic experience in settings associated with future professional employment. A written proposal for the internship must be approved by the department chair. The proposal must specify what the student will learn from the internship, why the student is properly prepared for the internship, and what supervision will be available to the student during the internship. A mid-semester report and a final report are required. Permission required. Computer Science majors only. Cr/F.

Dean’s approval required.

Repeat Rule: May be repeated for a maximum of 3 credits.

Only listed majors in section: COMP SCI EXT, COMPUTER SCIENC, COMPUTER SCIENC

Instructors: Elizabeth Varki

Start Date	End Date	Days	Time	Location
5/23/2022	8/12/2022		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 861 (01) - Programming Language Concepts and Features

Program Lang Concepts&Features

Credits: 3.0
Term: Summer 2022 - Summer Session II (05/23/2022 - 07/29/2022)
Grade Mode: Letter Grading

Class Size: 10
CRN: 70782

Explores the main features of modern, high-level, general-purpose programming languages from the user (programmer) standpoint. Students learn how specific features of programming languages can be used effectively in solving programming problems. The course is also an opportunity to use paradigms that expand on simple imperative programming, such as object-oriented, functional and concurrent programming. Prereq: Operating systems fundamentals and Computer organization, some knowledge of Java.

Department Approval Required. Contact Academic Department for permission then register through Webcat.

Instructors: Matthew Plumlee

Start Date	End Date	Days	Time	Location
5/23/2022	7/29/2022	TW	6:00pm - 8:00pm	KING N328

Durham Graduate School :: Development Policy&Practice

DPP 908 (1ON) - Policy Seminar

Policy Seminar

Online Course Delivery Method: Online (no campus visits), EUNH

Credits: 3.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Letter Grading

Class Size: 30
CRN: 70080

This seminar will reinforce the multidisciplinary breadth and trans-disciplinary perspective of the master's program, providing students with the opportunity to sharpen critical policy analysis skills. The goal of the course is to help students understand the sources of public policy, that is, why we have various public policies and how to produce professional policy analysis.

Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT

Instructors: Stacy VanDeveer

Start Date	End Date	Days	Time	Location
5/23/2022	8/12/2022		Hours Arranged	ONLINE

Durham Graduate School :: Development Policy&Practice

DPP 990 (01) - Independent Study

Independent Study

Credits: 3.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Letter Grading

Class Size: 6
CRN: 70184

Under the guidance of an MCD Faculty member, the Independent Study Course (DPP 990) provides students with the opportunity to study a unique topic in-depth that is not offered as a traditional course. Often this topic is a relevant aspect of their capstone project which they wish to explore in more depth.

Repeat Rule: May be repeated for a maximum of 6 credits.

Only listed majors in section: COM DEV PLC PRT

Instructors: Michael Swack, Sanjeev Sharma

Start Date	End Date	Days	Time	Location
5/23/2022	8/12/2022		Hours Arranged	TBA

Durham Graduate School :: Development Policy&Practice

DPP 990 (02) - Independent Study

Independent Study

Credits: 3.0
Term: Summer 2022 - Full Term (05/23/2022 - 08/12/2022)
Grade Mode: Letter Grading

Class Size: 6
CRN: 70651

Repeat Rule: May be repeated for a maximum of 6 credits.

Instructors: Michael Swack, Sanjeev Sharma

Start Date	End Date	Days	Time	Location
5/23/2022	8/12/2022		Hours Arranged	TBA

Durham Paul College of Business&Econ :: Decision Sciences

DS 898 (01) - Topics in Business Analytics

Top/Tools for Bus. Analytics

Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading

Class Size: 25
CRN: 70928

Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.

Section Comments: Topics/ Tools for Business Analytics

Department Approval Required. Contact Academic Department for permission then register through Webcat.

Repeat Rule: May be repeated for a maximum of 12 credits.

Instructors: Demirhan Yenigun

Start Date	End Date	Days	Time	Location
5/23/2022	7/15/2022	T	5:40pm - 9:15pm	PBLANE 216

Additional Course Details:

The goal of this course is to expose students to popular software tools used in all stages of data analytics in business, to create actionable insights. The course will cover and introduce tools for the three key areas of data analytics: a) Data Preparation & Blending (e.g., Alteryx, Tableau Prep) b) Data Analysis & Visualization (e.g., Tableau, Power BI, Amazon Quicksight) c) Model Building (Statistical & Machine Learning) for Predictive Analytics (e.g., Blue Sky (GUI for R), DataRobot). Students will learn about the overall capabilities of these tools and will practice applying them to diverse types of sample data.