The transfer paths for engineering may include up to three campus specific courses that student should complete prior to transferring to achieve junior status.
This is an introductory course for biomedical engineering undergraduate students. It covers topics such as recombinant DNA technologies, cell and tissue engineering, stem cell and organ regeneration, 3D tissue and organ printing, the design of tissue engineered products, biomaterial and tissue scaffolding, drug delivery, biomechanics, bioinstrumentation, engineering of immunity, and bio and medical imaging, etc. The application of nano-biotechnology in developing clinical products such as tissue engineered products, drug delivery systems, etc. will be emphasized in the course. Prerequisite: WTSN 112, PHYS 131, Math 225. Co-requisite BIOL 118. Fall semester. 3 credit hours.
This is an introductory course for biomedical engineering undergraduates. It covers topics such as error propagation, linear and non-linear models of biological behavior, iterative solutions to systems of equations, finite difference methods, numerical interpolation and integration, dynamical biomedical systems modeling, ordinary and partial differential equations. Prerequisite: Math 226, BME 201. Spring semester. 3 credit hours.
This course is to provide student's introductions to engineering principles applied to processes involving cell or recombinant protein production. It illustrates the development of tools and technologies of molecular biology and their application in protein engineering. The engineering aspects of quantitative bioprocess analysis is particularly emphasized in this course. Topics include recombinant DNA technologies, cell growth and kinetics, mass transfer, bioreaction, and bioreactor engineering. Prerequisites: BME 201, CHEM 111, BIOL 118, MATH 324 or MATH 324. 3 credits. Spring semester.
This course provides an introduction to probability models and statistical methods most likely to be encountered and used by students in their careers in engineering and the natural sciences. This introduction will emphasize, from the outset, that variation is the source from which all statistical methodology flows. Discussion includes the practical aspects of data collection and descriptive statistics with an introduction to the basic concepts of probability theory and probability distributions, correlation, point estimation, confidence intervals, and test of hypothesis. Prerequisites: WTSN 104/112 or consent of department chair. Offered in the Spring semester. 4 credits.
Design-based introduction to embedded computer systems. Organization and composition of computer processors, memory, and peripherals. Introduction to assembly-language and embedded C programming. Design of hardware and software for embedded processor applications. Laboratory exercises and design projects. This course is assessed a $45 fee upon registration. Fees are refundable only within the first week of classes for students who withdraw and non-refundable thereafter. Prerequisites: CS 211 and EECE 251. Offered every spring semester. 4 credits.
Corequisite:LAB
This course provides an introduction to probability models and statistical methods most likely to be encountered and used by students in their careers in engineering and the natural sciences. This introduction will emphasize, from the outset, that variation is the source from which all statistical methodology flows. Discussion includes the practical aspects of data collection and descriptive statistics with an introduction to the basic concepts of probability theory and probability distributions, correlation, point estimation, confidence intervals, and test of hypothesis. Prerequisites: WTSN 104/112 or consent of department chair. Offered in the Spring semester. 4 credits.
Design-based introduction to embedded computer systems. Organization and composition of computer processors, memory, and peripherals. Introduction to assembly-language and embedded C programming. Design of hardware and software for embedded processor applications. Laboratory exercises and design projects. This course is assessed a $45 fee upon registration. Fees are refundable only within the first week of classes for students who withdraw and non-refundable thereafter. Prerequisites: CS 211 and EECE 251. Offered every spring semester. 4 credits.
Corequisite: LAB
Introduction to computer programming with engineering applications. Programming in the procedural language C, control structures, functions, arrays and pointers. Introduction to abstract data types and object-oriented programming using C++. Not applicable toward degree in computer science. Offered in the Fall semester. 4 credits.
Corequisite: LAB
The objectives of the course are to: demonstrate the ability to design systems for automating processes in manufacturing, demonstrate problem-solving skills in automation, and to demonstrate the skill of using the LabVIEW and MATLAB software packages. Prerequisite: WTSN 104/112 or consent of department chair. Offered in the Spring semester. 4 credits.
Corequisite: LAB
Design-based introduction to embedded computer systems. Organization and composition of computer processors, memory, and peripherals. Introduction to assembly-language and embedded C programming. Design of hardware and software for embedded processor applications. Laboratory exercises and design projects. This course is assessed a $45 fee upon registration. Fees are refundable only within the first week of classes for students who withdraw and non-refundable thereafter. Prerequisites: CS 211 and EECE 251. Offered every spring semester. 4 credits.
Corequisite: LAB
This course provides an introduction to probability models and statistical methods most likely to be encountered and used by students in their careers in engineering and the natural sciences. This introduction will emphasize, from the outset, that variation is the source from which all statistical methodology flows. Discussion includes the practical aspects of data collection and descriptive statistics with an introduction to the basic concepts of probability theory and probability distributions, correlation, point estimation, confidence intervals, and test of hypothesis. Prerequisites: WTSN 104/112 or consent of department chair. Offered in the Spring semester. 4 credits.
Thermochemistry and thermodynamics; equilibrium; chemical kinetics; electrochemistry; nuclear chemistry; descriptive inorganic, organic and biochemistry. Prerequisite: CHEM 107 or equivalent. Not open to students who have credit for CHEM 111. Credits: 4. Format: 3-hour lecture; 2-hour discussion; 3-hour laboratory per week. Offered: Spring; Summer Session II.
Corequisite: LAB
Structured programming for mechanical engineers. Engineering programming with MATLAB. Prerequisite: WTSN 112 or a beginning programming course. Offered in the Fall semester. 2 credits
Corequisite: LAB