Timeroom: Summer 2023

Displaying 71 - 80 of 93 Results for: Campus = Manchester

HLS 520 (M1) - Homeland Security Law and Policy

Law and Policy

Online Course Delivery Method: Online (no campus visits), EUNH
Can be taken by students who are remote.
Credits: 4.0
Term: Summer 2023 - Summer Session II (05/22/2023 - 07/28/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 70753
This course is an overview of key legal, policy, and ethical issues in the context of Homeland Security policy and practice. Students examine legal concepts regarding constitutional rights of individuals, legal process, access to courts, the law of war, and national security principles as they relate to homeland security legislation and policy initiatives. Legal principles of due process, habeas corpus, search and seizure. Compulsory process, and international agreements are explored in greater depth. The law of war will be examined in the context of preemptive war and the current National Security Strategy, the status of combatants and detention, Elements of national security law, intelligence collection and sharing, the Patriot Act, and military-civilian relations, etc. Prereq: HLS 410 or consent of the instructor.
Instructors: Maeve Dion
Start Date End Date Days Time Location
5/22/2023 7/28/2023 Hours Arranged ONLINE

HLS 540 (M1) - Prevention and Detection of Fraud

Prevention/Detection of Fraud

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Summer 2023 - Summer Session I (05/22/2023 - 06/23/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 70754
Fraud detection and prevention are a perpetual concern for organizations, individuals and society. Course topics include fraud causes and behaviors of fraudsters, the fraud triangle, criminal and civil fraud, red flags, financial statement fraud, procurement fraud, bribery, pyramid schemes, money laundering, corporate governance, fraud risk management and responses. Real-world fraud schemes are explored and discussed. Required course for minor in Forensic Accounting. May not be repeated for credit if taken as BUS 460.
Equivalent(s): BUS 460
Instructors: Yvette Lazdowski
Start Date End Date Days Time Location
5/22/2023 6/23/2023 Hours Arranged ONLINE

HLS 650 (M1) - Intelligence Systems and Structures in Homeland Security

Intelligence Systems

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Summer 2023 - Summer Session II (05/22/2023 - 07/28/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 70755
Intelligence is a systematic process of collection, analysis, and dissemination of information in support of national, state, and/or local policy or strategy. HLS 650 will explore the varied expressions of the intelligence community as it exists in the US. In addition, students will explore the history and development of the IC in the US, major legislative acts that led to the development of intelligence as a major function of US national security strategy. Prereq: HLS 410 or permission of instructor.
Instructors: Andrew Macpherson
Start Date End Date Days Time Location
5/22/2023 7/28/2023 Hours Arranged ONLINE

HLS 770 (M1) - Internship in Homeland Security

HLS Internship

Credits: 4.0
Term: Summer 2023 - Full Term (05/22/2023 - 08/11/2023)
Grade Mode: Credit/Fail Grading
Class Size:   25  
CRN: 70264
HLS 770 represents the professional work experience required in the homeland security major. Students work in a professional setting for a minimum of 180 hours under the supervision of a site supervisor. All internships require students to identify and complete work on a specific project (s) approved by the HLS coordinator. Internships may be taken at any time after students have taken 30 credits of university coursework. Note that students who are academically or otherwise unable to enter into internship must take HLS 799 (thesis in homeland security which requires senior standing and permission from the HLS program coordinator). Prereq: HLS 410, HLS 455 and HLS 480.
Section Comments: Must have a worksite and site supervisor to register in Handshake. Minimum of 180 hours onsite is required. See "Professional Experience" requirements posted in HLS@UNH.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Terrence OSullivan
Start Date End Date Days Time Location
5/22/2023 8/11/2023 Hours Arranged OFFCMP TBD
Additional Course Details: 

Registering for academic credit does not complete your required internship approval process. Students must register and “request an experience” in the UNH online platform of Handshake once they have their internship. Visit https://unh.joinhandshake.com/experiences/new to complete your approval process.

For more information on how to complete the Handshake approval process visit, https://manchester.unh.edu/student-internships or contact the UNH Manchester Career and Professional Success (CaPS) Office with questions.

HLS 799 (M2) - Senior Thesis in Homeland Security

Senior Thesis in HLS

Credits: 4.0
Term: Summer 2023 - Full Term (05/22/2023 - 08/11/2023)
Grade Mode: Letter Grading
Class Size:   4  
CRN: 70279
Students work under the direction of a faculty thesis advisor to plan and carry out independent research resulting in an oral presentation and a major research paper. Research projects should include the development of a research thesis/question, a literature review, analysis, and synthesis of relevant data/sources, discussion and interpretation and presentation of results. Senior Thesis can be used to substitute for Internship in HLS. Permission by HLS program coordinator required, open only to HLS seniors. Prereq: HLS 510 and HLS 515 and HLS 650 and HLS 760.
Section Comments: Zoom meetings once a week TBD
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 8 credits.
Attributes: Writing Intensive Course
Instructors: Sonic Woytonik
Start Date End Date Days Time Location
5/22/2023 8/11/2023 Hours Arranged ONLINE

HLS 799 (M4) - Senior Thesis in Homeland Security

Senior Thesis in HLS

Credits: 4.0
Term: Summer 2023 - Full Term (05/22/2023 - 08/11/2023)
Grade Mode: Letter Grading
Class Size:   4  
CRN: 70297
Students work under the direction of a faculty thesis advisor to plan and carry out independent research resulting in an oral presentation and a major research paper. Research projects should include the development of a research thesis/question, a literature review, analysis, and synthesis of relevant data/sources, discussion and interpretation and presentation of results. Senior Thesis can be used to substitute for Internship in HLS. Permission by HLS program coordinator required, open only to HLS seniors. Prereq: HLS 510 and HLS 515 and HLS 650 and HLS 760.
Section Comments: Zoom meetings once a week TBD
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 8 credits.
Attributes: Writing Intensive Course
Instructors: Anthony Schilling
Start Date End Date Days Time Location
5/22/2023 8/11/2023 Hours Arranged ONLINE
Manchester   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 425 (M1) - Calculus I

Calculus I

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Summer 2023 - Summer Session II (05/22/2023 - 07/28/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 70254
Calculus of one variable covering limits, derivatives of algebraic, trigonometric, exponential, and logarithmic functions; applications include curve sketching, max-min problems, related rates, and volume and area problems. Prereq: completing MATH 418 with a grade of C or better or qualifying with the placement evaluation. Beginning in Spring 2019 students who have taken MATH 418 may not take the placement test as a means of entry into MATH 425. (Repeat rule applies for MATH 424A and MATH 424B).
Section Comments: Asynchronous section. Work is submitted by end of each week.
Equivalent(s): MATH 424A, MATH 424B, MATH 425H
Attributes: Quantitative Reasoning(Disc)
Instructors: Donald Plante
Start Date End Date Days Time Location
5/22/2023 7/28/2023 Hours Arranged ONLINE
Manchester   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 426 (M1) - Calculus II

Calculus II

Credits: 4.0
Term: Summer 2023 - Summer Session II (05/22/2023 - 07/28/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 71010
Second course in calculus of one argument, techniques and applications of integration, polar coordinates, and series. Prereq: MATH 425.
Equivalent(s): MATH 426H
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
5/22/2023 6/23/2023 TR 1:01pm - 2:50pm PANDRA P503
6/24/2023 7/28/2023 TR 1:01pm - 2:50pm PANDRA P126

NSIA 850 (M1) - Intelligence Analysis Case Studies

Intelligence Case Studies

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Summer 2023 - E-term V (05/22/2023 - 07/14/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 70449
The evolution of intelligence analysis is examined in this class using case studies to highlight analytical approaches. Institutional and personal perspectives of the role of intelligence analysis and analysts are explored. We will define and discuss the politicization of intelligence. Both strategic and warning intelligence case studies are provided to students to read and interpret.
Classes not allowed in section: Freshman, Junior, Sophomore, Senior
Only listed majors in section: NAT SEC INT ANL
Instructors: John Borek
Start Date End Date Days Time Location
5/22/2023 7/14/2023 Hours Arranged ONLINE

NSIA 870 (M1) - National Security Quantitative Research Design and Analysis I

NATSEC Quantitative Research I

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Summer 2023 - E-term V (05/22/2023 - 07/14/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 70450
Quantitative Design and Analysis I introduces students to data and data analysis. The course provides an overview of statistical learning. Students will learn approaches for stating and refining research questions. We will employ the epicycles of analysis approach to conduct exploratory data analysis. Students will learn how to describe data and use appropriate counting techniques. Basic data visualization will be employed using R.
Classes not allowed in section: Freshman, Junior, Sophomore, Senior
Only listed majors in section: NAT SEC INT ANL
Instructors: Katharine Cunningham
Start Date End Date Days Time Location
5/22/2023 7/14/2023 Hours Arranged ONLINE