Course Description: Introduces the fundamental principles of tissue engineering. Topics: tissue organization and dynamics, cell and tissue characterization, cell-matrix interactions, transport processes in engineered tissues, biomaterials and biological interfaces, stem cells and interacting cell fate processes and tissue engineering methods. Examples of approaches for regeneration of cartilage, bone, ligament, tendons, skin and liver are presented. Prerequisites: APMA 2130 or MATH 3250 or APMA 2501 - Differential Equations & Linear Algebra, and BME 2101, and BME 2104, or instructor permission.

Course Description: Introduces genomics and bioinformatics theory and tools to analyze large scale biological data. Specific topics covered are Introduction to Linux and R statistical programming language, computations on the high-performance computational cluster, analysis of sequencing data with applications in gene expression and protein/DNA interactions, differential expression analysis, pathway and co-expression network analysis. Prereq: (APMA 3110 or APMA 3100 or MATH 3100) and (CS 1110 or CS 1111 or CS 1112 with grade of C- or better or successfully completed CS 1110 place-out test) and BME major or minor

Course Description: A second-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests.Prerequisites: Instructor Permission

Course Description: A third-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests.Prerequisites: Instructor Permission

Course Description: This purpose of this course is to introduce and familiarize students with engineering economics. Students will apply the concepts of the time value of money to infrastructure management. Students will be able to compare cash flows using net present value, future value, and cost-benefit analysis. Students will use cost indices to complete cost estimations. Students will be able to make appropriate adjustments for depreciation and inflation.

Course Description: Study of a civil engineering problem in depth by each student using library, computer, or laboratory facilities. The project is conducted in close consultation with departmental faculty and involves survey, analysis, or project development. Progress reports and a comprehensive written report are required. May be repeated if necessary. Prerequisite: Contact individual professor for Instructor Permission.

Course Description: This course covers the practice of data science practice, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and data. Case studies will explore the impact of data science across different domains.

Course Description: Introduces the fundamental principles of tissue engineering. Topics: tissue organization and dynamics, cell and tissue characterization, cell-matrix interactions, transport processes in engineered tissues, biomaterials and biological interfaces, stem cells and interacting cell fate processes, and tissue engineering methods. Prerequisites: CHEM 1620, APMA 2130, and an introductory course in cell and molecular biology or instructor permission.

Course Description: Covers the fundamentals of building IT infrastructure on Amazon Web Services (AWS). Teaches solutions architects how to optimize the use of the AWS Cloud by understanding AWS services and how they fit into cloud-based solutions. Emphasizes best practices and recommends design patterns to help with the process of architecting optimal IT solutions on AWS. Helps students prepare for the AWS Certified Solution Architect - Associate exam.

Course Description: A survey of the art of the Dutch and Flemish Golden Age, including such artists as Rubens, Rembrandt, van Dyck, Hals and Vermeer. The course examines innovations in style and new subjects like landscape, still life and daily-life genre in relation to major historical developments, including the revolt of the Netherlands, the rise of the Dutch Republic, and the Counter-Reformation. The course includes a survey of Dutch architecture.

Course Description: A fourth-year project in MSE, under the supervision of a faculty member, is designed to give undergraduate students an application of principles learned in the classroom. The work may be experimental or computational, and the student is expected to become proficient in techniques used to process, characterize, or model materials. The project should make use of design principles in the solution of a problem. Prerequisite: Instructor permission.

Course Description: A second-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

Course Description: A third-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

Course Description: A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

Course Description: Further and deeper understanding of partial differential equations that govern physical phenomena in science and engineering. Solution of linear partial differential equations by eigenfunction expansion techniques. Green's functions for time-independent and time-dependent boundary value problems. Fourier transform methods, and Laplace transform methods. Solution of a variety of initial-value, boundary-value problems. Various physical applications. Study of complex variable theory. Functions of a complex variable, and complex integral calculus, Taylor series, Laurent series, and the residue theorem, and various applications. Serious work and efforts in the further development of analytical skills and expertise. Cross-listed as MAE 6420. Prerequisite: Graduate standing and APMA 6410 or equivalent.