Courses

The listing of a course description here does not guarantee a course’s being offered in a particular term. Please refer to the published schedule of classes on the MyBU Student Portal for confirmation a class is actually being taught and for specific course meeting dates and times.

• ENG BE 801: Teaching Practicum
  Undergraduate Prerequisites: Students must be in the BME PhD program. - This course cannot be used to meet the structured course requirements. Practical teaching experience for an assigned course, includes some combination of running discussion sections, managing laboratory sections, providing some lectures, preparing homework and solution sets, exams, and grading. Attend lectures/seminars on best teaching practices.
• ENG BE 802: Teaching Practicum 2
  Graduate Prerequisites: BE PhD program - Practical teaching experience.
• ENG BE 810: PhD Internship in Biomedical Engineering
  Graduate Prerequisites: Permission of advisor and an approved, full-time internship offer; nee d to have completed at least 12 months in the BME PhD program. - This course provides BME PhD students the opportunity to include a full-time (30-40 hours/week, for at least 12 weeks) paid internship experience as part of their professional training. The internship must be related to the student's area of study. International students require CPT authorization. Written summary required. Graded P/F. Prerequisite: Permission of advisor and an approved, full- time internship offer; at least two complete semesters in the BME PhD program.
• ENG BE 811: Part-Time PhD Internship in Biomedical Engineering
  Graduate Prerequisites: Permission of advisor and an approved, full-time internship offer; nee d to have completed at least 12 months in the BME PhD program. - This course provides BME PhD Students the opportunity to include a part-time (15-20 hours/week, for at least 12 weeks) paid internship experience as part of their professional training. The internship must be related to the student's area of study. International students require CPT authorization. Written summary required. Graded P/F. Prerequisite: Permission of advisor and an approved, part-time internship offer, at least two complete semesters in the BME PhD program.
• ENG BE 900: PhD Research
  Graduate Prerequisites: BE PhD program - Prerequisite: restricted to pre-prospectus PhD students. Participation in a research project under the direction of a faculty advisor leading to the preparation and defense of a PhD prospectus.
• ENG BE 951: Independent Study
  Undergraduate Prerequisites: By petition only. - A course of reading under the direction of a faculty advisor covering subject matter not available in a lecture course. Final report or examination normally required.
• ENG BE 952: Mentored Project
  Undergraduate Prerequisites: Enrollment in the BME MS program. - Students who are pursuing a project to satisfy their practicum requirement for the MS degree will register for up to 4 credits of this course. The course may be taken more than once for up to four credits (ex. two credits in Fall, two credits in Spring). Students will select a suitable project with a mentor that can be completed in 4 credits. The BME Graduate Committee must approve all proposed projects. Each student must write a project report and/or deliver a formal presentation at the end of the course that will be graded by their project mentor. All reports and presentation materials must be received by the BME Graduate Committee.
• ENG BE 954: MS Thesis
  Graduate Prerequisites: BE MS program - Participation in a research project under the direction of a faculty advisor leading to the preparation of an original MS thesis. For students pursuing an MS thesis to satisfy the practicum requirement for the MS degree.
• ENG BE 991: PhD Dissertation
  Graduate Prerequisites: BE PhD program - Participation in a research project under the direction of a faculty advisor leading to the preparation and defense of an original PhD dissertation.
• ENG EC 311: Introduction to Logic Design
  Undergraduate Prerequisites: Sophomore standing. - Introduction to hardware building blocks used in digital computers. Boolean algebra, combinatorial and sequential circuits: analysis and design. Adders, multipliers, decoders, encoders, multiplexors. Programmable logic devices: read- only memory, programmable arrays, Verilog. Counters and registers. Includes lab.
• ENG EC 327: Introduction to Software Engineering
  Undergraduate Prerequisites: (ENGEK125) - This course aims to introduce students to software design, programming techniques, data structures, and software engineering principles. The course is structured bottom up, beginning with basic hardware followed by an understanding of machine language that controls the hardware and the assembly language that organizes that control. It then proceeds through fundamental elements of functional programming languages, using C as the case example, and continues with the principles of object-oriented programming, as principally embodied in C but also its daughter languages Java, C#, and objective C. The course will conclude with an introduction to elementary data structures and algorithmic analysis. Throughout, the course develops core competencies in software engineering, including programming style, optimization, debugging, compilation, and program management, utilizing a variety of Integrated Development Environments and operating systems.
• ENG EC 330: Applied Algorithms for Engineers
  Undergraduate Prerequisites: (ENGEC327) Recommended: CAS MA 193 - Introduction to the general concept of algorithms. Efficiency and run-time of algorithms. Graph algorithms, priority queues, search trees. Various approaches to design of algorithms and data structures, together with their applications to numerical and non-numerical problems.
• ENG EC 400: Undergraduate Special Topics in Electrical & Computer Engineering
  Coverage of a specific topic in electrical and computer engineering at the undergraduate level. Subject matter varies from semester to semester; not offered every semester.
• ENG EC 401: Signals and Systems
  Undergraduate Prerequisites: (CASMA226 & ENGEK307) - Cannot be taken for credit in addition to ENG BE 401. Continuous-time and discrete-time signals and systems. Convolution sum, convolution integral. Linearity, time-invariance, causality, and stability of systems. Frequency domain analysis of signals and systems. Filtering, sampling, and modulation. Laplace transform, z-transform, pole-zero plots. Linear feedback systems. Includes lab. Cannot be taken for credit in addition to ENG BE 403.
• ENG EC 402: Control Systems
  Undergraduate Prerequisites: (CASMA226 & ENGEK307 & ENGEC401) - Analysis of linear feedback systems, their characteristics, performance, and stability. The Routh-Hurwitz, root-locus, Bode, and Nyquist techniques. Design and compensation of feedback control systems. Cannot be taken for credit in addition to ENG ME 403, ENG ME 404, or ENG BE 404.
• ENG EC 410: Introduction to Electronics
  Undergraduate Prerequisites: (ENGEK307) - Principles of diode, BJT, and MOSFET circuits. Graphical and analytical means of analysis. Piecewise linear modeling; amplifiers; digital inverters and logic gates. Biasing and small-signal analysis, microelectronic design techniques. Time-domain and frequency domain analysis and design. Includes lab.
• ENG EC 412: Analog Electronics
  Undergraduate Prerequisites: (ENGEC410) - Continuation of ENG EC 410. Topics include detailed analysis of differential amplifiers, design and principles of operational amplifier including multistage circuit structure, BJT, MOSFET, CMOS, and BiCMOS design principles, active filters and oscillators, negative and positive feedback, and power devices. Includes lab.
• ENG EC 413: Computer Organization
  Undergraduate Prerequisites: (ENGEC311) - Introduction to the fundamentals and design of computer systems. Topics covered include computer instruction sets, assembly language programming, arithmetic circuits, CPU design (data path and control, pipelining), performance evaluation, memory devices, memory systems including caching and virtual memory, and I/O. Project using design automation tools. Includes lab.
• ENG EC 414: Introduction to Machine Learning
  Undergraduate Prerequisites: (ENGEK103 & ENGEK125 & ENGEK381) - Linear regression. Maximum likelihood and maximum a posteriori estimation. Classification techniques, including naive Bayes, k-nearest neighbors, logistic regression, and support vector machines. Data visualization and feature extraction, including principal components analysis and linear projections. Clustering. Introduction to neural networks and deep learning. Discussion of other modern analysis methods.
• ENG EC 415: Software Radios
  Undergraduate Prerequisites: (ENGEC401) equivalent - Signal analysis and transmission: amplitude modulation, angle modulation, pulse- amplitude and pulse-code modulation; amplitude shift-keying, frequency shift- keying, phase-shift keying. Case studies of practical communication systems. Includes lab.