Timeroom: Spring 2022

Displaying 261 - 270 of 420 Results for: Attributes = EUNH
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

LCR 923 (1ON) - International Legal Research

International Legal Research

Credits: 2.0
Term: Spring 2022 - Law (01/18/2022 - 05/13/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52368
Students learn the standard sources used in foreign and international law as well as tools and strategies needed to effectively research a relevant topic in this online, asynchronous class. Weekly modules include an introduction coupled with weekly hands-on exploration of international law using subscription electronic sources and free internet tools. Research strategy is discussed and used to create research plans (living documents for tracking and evaluating your research progress). A research guide on an international legal topic is the capstone project that allows students to practice and solidify the process and method of foreign and international legal research. Students report on research process and discuss obstacles and strategies.
Only the following students: Graduate Law - Online
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 5/13/2022 Hours Arranged ONLINE
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

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

Internatl Criminal Law Survey

Credits: 3.0
Term: Spring 2022 - Law (01/18/2022 - 05/13/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 57168
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.
Only the following students: Graduate Law - Online
Attributes: Online (no campus visits), Law Upper Level Writing, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 5/13/2022 Hours Arranged ONLINE
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

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

Intrn'l Crim Court &Spec Trib

Credits: 3.0
Term: Spring 2022 - Law (01/18/2022 - 05/13/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52405
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.
Only the following students: Graduate Law - Online
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 5/13/2022 Hours Arranged ONLINE
Law   Franklin Pierce School of Law :: Criminal Law (LAW)

LCR 929 (1ON) - Capstone Research Project

Capstone Research Project

Credits: 3.0
Term: Spring 2022 - Law (01/18/2022 - 05/13/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 52404
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. The emphasis will be on a product reflective of a significant analytical effort rather than a merely broad descriptive one.
Only the following students: Graduate Law - Online
Attributes: Online (no campus visits), Law Experiential Learning, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 5/13/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 732 (1ON) - Introduction to the R Software

Intro to the R Software

Credits: 1.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Credit/Fail Grading
Class Size:   15  
CRN: 56488
This course provides a basic introduction to the open-sources statistical software R for students who have never used this software or have never formally learned the basics of it. Topics include: Numeric calculations, simple and advanced graphics, object management and work-flow, RStudio, user-contributed packages, basic programming, writing of functions, statistical modeling and related graphs, distributed computing, reproducible research and document production via markup language. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): MATH 759
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 736 (1SY) - Advanced Statistical Modeling

Advanced Statistical Modeling

Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 54828
This is a course on statistical models behind normal linear model. Topics covered in this course include generalized linear model, linear mixed model, generalized additive model, generalized linear mixed model, generalized additive mixed model, and smoothing methods if time allows. Prereq: MATH 739.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

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

Data Mining & Pred Analytics

Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52825
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 case 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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : IT 630
Classes not allowed in section: Freshman, Sophomore
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MW 12:40pm - 2:00pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (1ON) - Design of Experiments I

Design of Experiments I

Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   75  
CRN: 51844
Course in design of experiments with applications to quality improvement in industrial manufacturing, engineering research and development, or research in physical and biological sciences. Experimental factor identification, statistical analysis and modeling of experimental results, randomization and blocking, full factorial designs, random and mixed effects models, replication and sub-sampling strategies, fractional factorial designs, response surface methods, mixture designs, and screening designs. Focuses on various treatment structures for designed experimentation and the associated statistical analyses. Use of statistical software. Prereq: MATH 539 (or 644); or permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Classes not allowed in section: Freshman
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (H01) - Design of Experiments I

Design of Experiments I\Honors

Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 57664
Course in design of experiments with applications to quality improvement in industrial manufacturing, engineering research and development, or research in physical and biological sciences. Experimental factor identification, statistical analysis and modeling of experimental results, randomization and blocking, full factorial designs, random and mixed effects models, replication and sub-sampling strategies, fractional factorial designs, response surface methods, mixture designs, and screening designs. Focuses on various treatment structures for designed experimentation and the associated statistical analyses. Use of statistical software. Prereq: MATH 539 (or 644); or permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), Honors course, EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 741 (1SY) - Survival Analysis

Survival Analysis

Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56498
Explorations of models and data-analytic methods used in medical, biological, and reliability studies. Event-time data, censored data, reliability models and methods, Kaplan-Meier estimator, proportional hazards, Poisson models, loglinear models. The use of statistical software, such as SAS, JMP, or R, is fully integrated into the course. Prereq: MATH 739. (Offered in alternate years in the spring semester.)
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MWF 9:40am - 11:00am ONLINE