This course is designed to help second- and third-year students develop the kinds of writing, organization, critical thinking, editing and collaborative work skills essential to law practice and passing the bar. Students will work on multiple short (less than 5 pages) weekly assignments, engaging them in reading the law; conceptualizing, outlining, writing, editing, and revising legal documents; practicing writing concisely and clearly; researching and using samples, templates, and other practice-based resources; and working on related tasks. These assignments are designed to help students sharpen their ability to write any kind of legal document, using the appropriate format for the intended audience. The course will focus primarily on civil matters and will include some writing on criminal issues. The course's focus on essential skills, organization, analysis, doctrine, precision and conciseness, will transfer to writing in any legal setting.

Complex numbers, analytic functions, Cauchy-Riemann equations, conformal mapping, contour integration, Cauchy's integral formula, infinite series, residue calculus, Fourier and Laplace transforms. (Not offered for credit if credit is received for MATH 788.)

Six Sigma is a popular, data-focused methodology used worldwide by organizations to achieve continuous improvement of their existing processes, products and services or to design new ones. This course provides a thorough introduction to the Six Sigma principles, methods, and applications for continuous improvement (DMAIC process) and an overview of Design for Six Sigma (DFSS). Both manufacturing and non-manufacturing (transactional Six Sigma) applications are included. Emphasis is placed on the use of case studies to motivate the use of, as well as the proper application of, the Six Sigma methodology. Formal Six Sigma Green Belt certification from UNH may be attained by successfully completing TECH 696.

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.