Timeroom: Spring 2017

Displaying 131 - 140 of 218 Results for: Attributes = EUNH
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

LCR 924 (1BB) - International Criminal Law and Justice Seminar

Internatl Criminal Law Survey

Credits: 3.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 54635
This is a research and writing seminar that satisfies the Upper Level Writing Requirement. This seminar is REQUIRED for all students seeking the LLM or Interdisciplinary Master's degree in International Criminal Law and Justice. Students will be required to conduct original research and writing, with multiple edits, on a topic to be agreed upon with the instructor. Students will present their research to the class. Eligibility: Open to all except 1Ls. REQUIRED for ALL students seeking the LLM or Masters in International Criminal Law and Justice. Course enrollment is limited to 14 students. Course format: writing. Grading: other (see syllabus), 100%. This course cannot be taken for an S/U grade.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

LCR 926 (1BB) - International Criminal Court and Special Tribunals

Intrn'l Crim Court &Spec Trib

Credits: 3.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 54704
The International Criminal Court (ICC) is the only permanent international mechanism for prosecuting international crimes. Though the scope of its jurisdiction is limited, it has had a powerful presence in the development of international criminal law principles. The special tribunals for the former Yugoslavia (ICTY) and for Rwanda (ICTR), both UN-created ad hoc tribunals, have played a significant role in the aftermath of two international crises. This course will ground students in the jurisdictional scope of the ICC; the substantive definition of crimes within its jurisdiction; its procedural rules and the substance and nature of its rulings. The course will also ground students in the practice, procedure of the ICTY and the ICTR.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

LCR 929 (1BB) - Capstone Research Project

Credits: 3.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54703
This course serves as the capstone to the process begun with the International Criminal Law Survey course. Students will complete a significant research and writing project on a subject of their choice under the supervision of a faculty member. The project will include a set of deadlines for outlines and drafts as well as frequent interaction with the Professor.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Intellectual Property (LAW)

LIP 913 (1BB) - International and Comparative Intellectual Property

Intl & Comparative IP

Credits: 3.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 54712
This graduate course examines select issues of intellectual property law in both an international and comparative context. The course introduces the basic contours of international principles, treaties and institutions regarding IP, including significant substantive and procedural differences between the United States and other countries (with a focus on the U.S., Europe, and Asia). The course explores why and how international and regional IP regimes have been created, and how they have been implemented, interpreted, and enforced. Students will become familiar with some of the most significant of these regimes in each area of IP. While the course assumes a general background in IP law, in-depth knowledge of IP law in the U.S. or in any other country is not required. Grading will be determined by participation in on-line discussion fora (which will require answering and discussing weekly questions), and by a final exam/paper.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Intellectual Property (LAW)

LIP 928 (1BB) - Intellectual Property Management

Intellectual Property Mgmt

Credits: 2.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 57196
Intellectual Property (IP) Management is intended for third year law students as a "capstone" course building on IP courses taken in the second and third years of law school. It is a practical, hands-on course designed to bridge academia and real-life private or corporate practice and is meant to provide the IP professional with a solid foundation in proactive counseling in the area of intellectual property. Exemplary topics include invention harvesting or extracting; invention records and disclosures; inventorship and ownership issues; laboratory notebook practice; patent searching; criteria and procedures for determining type of IP protection, particularly whether to file for patent protection or maintain as trade secret; trade secret policies and protection; IP education; IP audits and due diligence investigations; outside submissions; trademark practice (searching and clearance); international filing considerations, agreement practice, and other aspects of corporate IP management including understanding, developing, executing and/or managing IP strategies, IP committees, and IP budgets consistent with overall business objectives. Eligibility: Open to all except 1Ls. Course format: lecture. Grading: other (see syllabus), 100%. This course may be taken for an S/U grade.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Intellectual Property (LAW)

LIP 954 (1BB) - Patent Law

Credits: 3.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 54701
Patent systems and patent laws exist to promote investment in and development of technology. The recently-enacted America Invents Act (AIA) and certain U.S. Supreme Court decisions over the last 5 years have brought the most dramatic changes to U.S. patent law in more than 50 years. This course focuses on the fundamentals of U.S. patent law including patentability, infringement, inventorship, and ownership. The course will also explore some of the underlying themes in patent law as well as the purpose of and justifications for a patent system. The course reading includes the patent statute (Title 35 of the United States Code) both pre-AIA and post-AIA and selected case law primarily from the U.S. Supreme Court and U.S. Court of Appeals for the Federal Circuit. The course will generally address both the procurement and enforcement of U.S. patents. Although this course will cover the legal principles underlying patent claim drafting and patentability, this course will not focus on patent practice and procedure.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Intellectual Property (LAW)

LIP 962 (1BB) - Patent Practice and Procedure II

Patent Practice & Procedure II

Credits: 3.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 54686
Students will build on their basic claim drafting skills by learning the rules, regulations, customs, and practices for dealing with the United States Patent and Trademark Office (USPTO) when filing and prosecuting patent applications. Students will draft one complete patent specification and claims as well as responses to two USPTO Office Actions. Students may also prepare additional documents for filing with the USPTO. The course format is 2 hours per week of traditional lecture and discussion to cover theory and general principles plus regularly scheduled small group section meetings with a local practicing attorney. During the small group section meetings, the practicing attorney will discuss and provide feedback on the patent application and responses prepared for the course. Eligibility: Open to all except 1Ls. Prerequisites: PPI and Patent Law. Course format: lecture. Grading: final exam, 25%; class prep. and participation, 5%; regular submissions/quizzes, 10%; other (see syllabus), 60%. This course cannot be taken for an S/U grade.
Attributes: Online (no campus visits), Law Upper Level Writing, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Law   Franklin Pierce School of Law :: Intellectual Property (LAW)

LIP 997 (1BB) - Mining Patent Information in the Digital Age

Mining Patent Info Digital Age

Credits: 2.0
Term: Spring 2017 - Law (01/17/2017 - 04/28/2017)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54702
This course, evolving since 1993, is a unique academic offering at any U.S. law school. It is a cross platform "consumer" survey course to search, mine and manipulate patent and non-patent literature data. It teaches transferable skills consistent with the UNH School of Law Information Literacy Plan. It is taught in collaboration with patent data vendors and related guest speakers. This is a hands on course. The work product is a novelty or patent landscape report. Themes of this course include: Multiplicity of sources Types of sources Applications Multiple access points to same data Who uses patent data sources Why use patent data sources Factors to choose access points Search approach Who drives the dollar chain for searches Free, low fee and premium patent sources In house and/or outsource searches Considerations as to who performs differing types of searches What is the standard of care for patent searches How to deal with questions of lack of integrity in patent documents The evolving role of the web in patent searching Eligibility: Open to all except 1Ls. Prerequisites: Lexis and Westlaw basic training.. Course enrollment is limited to 15 students. Course format: skills training. Grading: final exam, 30%; class prep. and participation, 10%; research paper, 60%. This course may be taken for an S/U grade.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/17/2017 4/28/2017 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 736 (1SY) - Advanced Statistical Methods for Research

Adv Stat Methods for Research

Credits: 4.0
Term: Spring 2017 - Full Term (01/24/2017 - 05/08/2017)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52178
An introduction to multivariate statistical methods, including principal components, discriminant analysis, cluster analysis, factor analysis, multidimensional scaling, and MANOVA. Additional topics include generalized linear models, general additive models, depending on the interests of class participants. The use of statistical software, such as JMP, S PLUS, or R, is fully integrated into the course. Prereq: MATH 739.
Section Comments: (MATH 736.1SY) Offered online synchronously; no campus visits required.
Prerequisite(s): MATH 735
Only listed campus in section: Durham
Classes not allowed in section: Freshman, Sophomore
Attributes: Scheduled meeting time, Online with some campus visits, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/24/2017 5/8/2017 MWF 8:10am - 9:30am MUB DL
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 738 (1SY) - Data Mining and Predictive Analytics

Data Mining & Pred Analytics

Credits: 4.0
Term: Spring 2017 - Full Term (01/24/2017 - 05/08/2017)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56547
An introduction to supervised and unsupervised methods for exploring large data sets and developing predictive models. Unsupervised methods include: market basket analysis, principal components, clustering, and variables clustering. Important statistical and machine learning methods (supervised learning) include: Classification and Regression Trees (CART), Random Forests, Neural Nets, Support Vector Machines, Logistics Regression and Penalized Regression. Additional topics focus on metamodeling, validation strategies, bagging and boosting to improve prediction or classification, and ensemble prediction from a set of diverse models. Required xase studies and projects provide students with experience in applying these techniques and strategies. The course necessarily involves the use of statistical software and programming languages. Undergraduate students are required to have junior or senior status to in enroll in this course. Prereq: MATH 539 (or MATH 644); or permission.
Only listed campus in section: Durham
Classes not allowed in section: Freshman, Sophomore
Attributes: Scheduled meeting time, Online with some campus visits, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/24/2017 5/8/2017 MW 12:40pm - 2:00pm KING N129