Courses

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

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  • ENG EC 782: RF/Analog IC Design - Advanced Applications
    Selected topics in advanced RF/Analog integrated circuit design based on high frequency BiCMOS technology. Topics to be covered include oversampling (Sigma Delta) A/D converters, RF phase-locked loops, low voltage RF frequency synthesizers, printed circuit board design for RF applications, antennas and signal propagation, PCB filters, and other mixed-signal topics. The course will utilize selected readings from the technical literature, as well as a number of RF measurement and RF design lab assignments.
  • ENG EC 801: Teaching Practicum I
    PhD Requirement. Assist faculty by performing teaching or teaching-related duties, such as preparing and teaching labs and discussion sections, developing teaching materials, assisting with homework preparation and grading, proctoring exams, grading exams or papers.
  • ENG EC 802: Teaching Practicum II
    PhD requirement. Assist faculty by performing teaching or teaching-related duties, such as preparing and teaching labs and discussion sections, developing teaching materials, assisting with homework preparation and grading, proctoring exams, grading exams or papers.
  • ENG EC 803: Teaching PRACT1
  • ENG EC 804: Teaching PRACT2
  • ENG EC 810: PhD Internship in Electrical and Computer Engineering
    This course is intended for students who want to do an internship in the US as part of their graduate program and would like to have internship credit listed on their transcript. International Students need to use their CPT for this course. Prerequisites: 2 full semesters in ECE
  • ENG EC 890: PhD Seminar 1
    ECE PhD First year requirement students will participate in seminars and skill development workshops on current topics in electrical and computer engineering. Students are expected to participate in discussions and read assigned material.
  • ENG EC 891: PhD Seminar 2
    ECE PhD First year requirement students will participate in seminars and skill development workshops on current topics in electrical and computer engineering. Students are expected to participate in discussions and read assigned material.
  • ENG EC 892: Seminar: Electro-Physics
    A weekly two-hour seminar on recent research topics in the area of electro-physics, including solid state materials and devices, photonics, electromagnetics, computers in physics, and other related areas. Speakers include faculty and graduate students in the area.
  • ENG EC 900: PhD Research
    Participation in a research project under the direction of a faculty advisor leading to the preparation and defense of a PhD prospectus.
  • ENG EC 901: Thesis
    By petition only. Preparation of an original MS thesis carried out under the guidance of a faculty member.
  • ENG EC 902: MS Project
    MS research project under the supervision of an ECE faculty member. Student must participate in end-of-semester ECE Research Symposium. Final report required. Student must submit proposal for ECE Graduate committee approval prior to the semester in which the MS research project is to be carried out.
  • ENG EC 951: Independent Study
    By petition only. Under faculty supervision, graduate students may study subjects not covered in a regularly scheduled course. A final report and/or written examination is required. Variable cr.
  • ENG EC 952: Directed Group Project
    A semester long engineering project with significant graduate-level design and implementation elements is carried out by a team of 1 to 4 graduate students under the supervision of an ECE faculty member. Required deliverables include a written proposal, an end-of-semester project report, and an end-of-semester oral/poster presentation. The project proposal must be approved by the faculty supervisor before project team members may register for this course.
  • ENG EC 953: MS Project
    MS research project under the supervision of an ECE faculty member. Student must participate in end-of-semester ECE Research Symposium. Final report required. Student must submit proposal for ECE Graduate committee approval prior to the semester in which the MS research project is to be carried out.
  • ENG EC 954: MS Thesis
    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 EC 991: PhD Dissertation
    Participation in a research project under the direction of a faculty advisor leading to the preparation and defense of an original PhD dissertation.
  • ENG EK 100: Freshman Advising Seminar
    This first-year experience course introduces students to Boston University,the College of Engineering, and the field of engineering. Students meet with faculty and student advisors and attend lectures to broaden their knowledge of the inner workings of the College and to gain a better understanding of engineering as a discipline and the ethical responsibilities of an engineer. Includes academic policies and special programs along with support services.
  • ENG EK 102: Introduction to Linear Algebra for Engineers
    Systems of linear equations and matrices. Vector spaces and linear transformation using matrix notation, determinants, and eigenvalues and eigenvectors. Examples drawn from engineering applications. Cannot be taken for credit in addition to CAS MA 142 or MA 242.
  • ENG EK 103: Computational Linear Algebra
    This is a course on understanding, manipulating, and applying linear systems of equations and, more broadly, linear relationships between variables. The ideas and tools you will learn are immensely useful in a wide variety of application domains, including physics, engineering, big data, data visualization, and more. You will become familiar with vectors and matrices, linear systems of equations, vector spaces, inner products, eigenvectors and eigenvalues and the more general singular values. You will also learn to interpret matrices as linear transformations and to understand the geometrical interpretation for operations such as solving linear systems of equations and least-squares fitting of data to models. Throughout the course, the tools will be related to specific applications to show how linear algebra is used to solve real-world problems. Examples include Google's PageRank algorithm, cryptography, coding theory, genetics, bioinformatics, image compression, linear programming (optimization), networks, and Markov chains. Cannot be taken for credit in addition to CAS MA 142 or CAS MA 242.

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