Timeroom: Spring 2023

Displaying 231 - 240 of 392 Results for: Attributes = EUNH

LSK 920 (3LH) - Legal Analysis and Writing 2

Legal Analysis & Writing 2

Online Course Delivery Method: Scheduled meeting time, Immersion Attendance Required, EUNH
Credits: 3.0
Term: Spring 2023 - Law Hybrid (01/17/2023 - 05/12/2023)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 54450
This course builds upon and reinforces the goals of Legal Analysis and Writing I, adding persuasive writing and speaking. Lawyers need to be persuasive in their written words and when speaking with others. In addition to practicing and achieving higher proficiency in the six goals for Legal Analysis and Writing I, in successfully completing this course, students learn how to: 1) Organize coherent persuasive analysis using conventional legal structure and format; and 2) Prepare and present an oral argument. In this course, students write a persuasive memo to a trial court, completing a graded outline, first draft, and final brief. Students then prepare and present an oral argument to outside judges in a courtroom setting. This course cannot be taken for an S/U grade.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): LSK 919
Only listed majors in section: LAW: JD HYBRID
Instructors: Sarah Landres
Start Date End Date Days Time Location
1/17/2023 5/12/2023 M 8:00pm - 10:00pm TBA

LSK 920 (4LH) - Legal Analysis and Writing 2

Legal Analysis & Writing 2

Online Course Delivery Method: Scheduled meeting time, Immersion Attendance Required, EUNH
Credits: 3.0
Term: Spring 2023 - Law Hybrid (01/17/2023 - 05/12/2023)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 54451
This course builds upon and reinforces the goals of Legal Analysis and Writing I, adding persuasive writing and speaking. Lawyers need to be persuasive in their written words and when speaking with others. In addition to practicing and achieving higher proficiency in the six goals for Legal Analysis and Writing I, in successfully completing this course, students learn how to: 1) Organize coherent persuasive analysis using conventional legal structure and format; and 2) Prepare and present an oral argument. In this course, students write a persuasive memo to a trial court, completing a graded outline, first draft, and final brief. Students then prepare and present an oral argument to outside judges in a courtroom setting. This course cannot be taken for an S/U grade.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): LSK 919
Only listed majors in section: LAW: JD HYBRID
Instructors: Jennifer Davis
Start Date End Date Days Time Location
1/17/2023 5/12/2023 M 8:00pm - 10:00pm TBA

LSK 920 (5LH) - Legal Analysis and Writing 2

Legal Analysis & Writing 2

Online Course Delivery Method: Scheduled meeting time, Immersion Attendance Required, EUNH
Credits: 3.0
Term: Spring 2023 - Law Hybrid (01/17/2023 - 05/12/2023)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 55350
This course builds upon and reinforces the goals of Legal Analysis and Writing I, adding persuasive writing and speaking. Lawyers need to be persuasive in their written words and when speaking with others. In addition to practicing and achieving higher proficiency in the six goals for Legal Analysis and Writing I, in successfully completing this course, students learn how to: 1) Organize coherent persuasive analysis using conventional legal structure and format; and 2) Prepare and present an oral argument. In this course, students write a persuasive memo to a trial court, completing a graded outline, first draft, and final brief. Students then prepare and present an oral argument to outside judges in a courtroom setting. This course cannot be taken for an S/U grade.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): LSK 919
Only listed majors in section: LAW: JD HYBRID
Instructors: Angelina Spilios
Start Date End Date Days Time Location
1/17/2023 5/12/2023 T 8:00pm - 10:00pm ONLINE

LSK 924 (1LH) - Negotiations Workshop

Negotiations Workshop

Online Course Delivery Method: Scheduled meeting time, Immersion Attendance Required, EUNH
Credits: 2.0
Term: Spring 2023 - Law Hybrid (01/17/2023 - 05/12/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 55921
In this interactive workshop, students will identify and learn different theories and types of negotiations. Negotiating effectively is important in any profession, but it is critical for attorneys to sharpen and hone these skills for the benefit of clients. Negotiations occur at all levels of an attorney's practice, whether that practice is in a small firm environment, in litigation, in a corporate setting, or working with a governmental entity. Students will apply their negotiation skills to a variety of situations. Class time will be divided between discussion of selected readings, interactive negotiations, and guest attorneys who will discuss some of their own negotiated agreements. Class attendance and participation is mandatory Course enrollment is typically limited due to the nature of simulations.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Only listed majors in section: LAW: JD HYBRID
Instructors: Jay Finkelstein, Walter Bardenwerper
Start Date End Date Days Time Location
3/23/2023 3/27/2023 MRFSU Hours Arranged TBA
3/23/2023 5/12/2023 Hours Arranged ONLINE

LSK 929 (01) - Intensive Deposition Advocacy Program

Intensive Deposition Adv Prog

Online Course Delivery Method: Online with some campus visits, EUNH
Credits: 2.0
Term: Spring 2023 - Law (01/02/2023 - 05/12/2023)
Grade Mode: Law Satisfactory/Unsatisfactry
Class Size:   16  
CRN: 54572
The Intensive Deposition Advocacy Program (IDAP) is a multi-part, full-immersion program, which will teach the skills of taking and defending a deposition. A deposition is an information gathering tool that is utilized during the course of litigation. In this ?learn by doing? course, you will have several short lectures, but the bulk of the course will be performance based. In other words, we will simulate the deposition setting and you will actually take and defend the deposition of a fact witness.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Excluding the following students: Graduate Law - Online
Instructors: Marcia Levy
Start Date End Date Days Time Location
1/9/2023 1/12/2023 MTWR 9:00am - 5:00pm UNHL 101
1/9/2023 1/12/2023 MTWR 9:00am - 5:00pm UNHL 102
1/9/2023 1/12/2023 MTWR 9:00am - 5:00pm UNHL 103
Additional Course Details: 

In-Person attendance required.

LSK 943 (1LH) - Appellate Advocacy

Appellate Advocacy

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 2.0
Term: Spring 2023 - Law Hybrid (01/17/2023 - 05/12/2023)
Grade Mode: Letter Grading
Class Size:   14  
CRN: 55354
Appellate Advocacy is a writing intensive course designed to teach the different components of appellate brief writing, as well as effective appellate oral advocacy. One or two case problems (depending upon the particular professor) are assigned throughout the semester, modeled after actual court cases. Students will be taught how to master the facts of a case, the rule of law applicable to the particular legal problem, and the policy underpinning the rule of law. Paramount goals of the course include professionalism and instructing students on clear, persuasive, organized, and strategic written and oral communication skills necessary for effective legal advocacy. While AA focuses on the appellate practice setting, the written and oral advocacy skills students will acquire are applicable to all settings of legal practice. Grading will be based on one or two appellate briefs, oral arguments, meaningful class participation and other assignments. This course cannot be taken for an S/U grade.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Prerequisite(s): (LSK 919 or LSK 919) and (LSK 920 or LSK 920) and (LSK 900 or LSK 900)
Only listed majors in section: LAW: JD HYBRID
Attributes: Law Upper Level Writing
Instructors: Elizabeth Woodcock
Start Date End Date Days Time Location
1/17/2023 5/12/2023 Hours Arranged ONLINE

LSK 945 (01) - Judicial Opinion Drafting

Judicial Opinion Drafting

Online Course Delivery Method: Online with some campus visits, EUNH
Credits: 2.0
Term: Spring 2023 - Law (01/02/2023 - 05/12/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53307
This course is designed to appeal to students planning to either participate in a legal residency with a judge or to enter the market for a judicial clerkship. Students critically discuss the theories of case resolution articulated and applied by prominent jurists, develop their own theories of case resolution, identify and consider the varying audiences for trial and appellate court orders and opinions in both the state and federal court systems, and draft and polish a well-written and principled opinion that they can use as a writing sample when applying for a legal residency position or a judicial clerkship.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Excluding the following students: Graduate Law - Online
Attributes: Law Upper Level Writing
Instructors: Heather Ward
Start Date End Date Days Time Location
1/9/2023 1/13/2023 MTWRF 9:00am - 5:00pm UNHL 274
Additional Course Details: 

In-Person attendance required.

Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 736 (1SY) - Advanced Statistical Modeling

Advanced Statistical Modeling

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 54048
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.
Classes not allowed in section: Freshman, Sophomore
Instructors: Qi Zhang
Start Date End Date Days Time Location
1/24/2023 5/8/2023 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

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

Data Mining & Pred Analytics

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52532
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.
Mutual Exclusion : IT 630
Classes not allowed in section: Freshman, Sophomore
Instructors: Philip Ramsey
Start Date End Date Days Time Location
1/24/2023 5/8/2023 MW 12:40pm - 2:00pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (1ON) - Design of Experiments I

Design of Experiments I

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   75  
CRN: 51699
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.
Classes not allowed in section: Freshman, Sophomore
Instructors: Philip Ramsey
Start Date End Date Days Time Location
1/24/2023 5/8/2023 Hours Arranged ONLINE