Courses

• ENG BE 777: Computational Genomics
  A case-study approach to current topics in computational genomics. Mathematical and engineering tools for analyzing genomic data are reviewed. The relationships between sequence, structure, and function in complex biological networks are studied using quantitative modeling. Whole genome analysis is performed. Completion of a series of projects emphasizing real-life data, integrated approaches, practical applications, hands-on analysis, and collaboration. Course projects aim at improving current approaches and involve C and/or PERL programming to interface with existing software packages. The course will be offered in a computer laboratory equipped with one laptop per student.
• ENG BE 788: Soft Tissue Biomechanics
  This course will introduce students to the mechanics of soft biological tissue. In particular, the response of the heart, vasculature, and tissue scaffolds to mechanical loads from the perspective of nonlinear solid mechanics will be studied. Constitutive models for hyperelastic materials will be adapted to biomaterials to handle mechanical characteristics such as nonlinearity, viscoelasticity, and orthotropy. Basic experimental methods, and anatomy and physiology of particular tissue types will also be introduced. Emphasis is placed on integrating the basic analytical, experimental, and computational methods for a more complete understanding of the underlying mechanobiology. Meets with ENG ME788. Students may not receive credit for both. 4 cr.
• ENG BE 790: Biomedical Engineering Seminar
  Discussion of current topics in biomedical engineering. Students are expected to read assigned journal articles and to participate actively in weekly discussion meetings. Meetings organized around presentations by invited guests of their research problems, strategy, and technique.
• ENG BE 791: PhD Biomedical Engineering Laboratory Rotation System
  This course allows PhD students to take part in a laboratory rotation system. During these rotations, students become familiar with research activity within departmental laboratories that are of interest to them. These rotations help students identify the laboratory in which they will perform their dissertation research. Postbachelor's PhD students must complete three rotations: one in their first semester of matriculation, and two in their second semester. Post-master's PhD students must complete a minimum of two rotations, one of which must be in their first semester of matriculation. Normally each rotation will last up to seven weeks.
• ENG BE 792: Critical Literature Review
  Peer-reviewed publications in the area of biomedical engineering will be critically evaluated. Scientific ethics and the process of review and publication of manuscripts will be discussed. The classes will be a mix of didactic information and group discussion. Methodological issues covered will include study design, techniques used, and interpretation of research findings. Students completing this course will understand the principles underlying preparation and publication of scientific manuscripts and will be able to apply these principles as they read the scientific literature. 2 cr.
• ENG BE 801: Teaching Practicum
  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 II
  Practical teaching experience. 4 cr.
• ENG BE 900: Research
  Participation in a research project under the direction of a faculty advisor. Includes research leading to the development of an MS thesis proposal or PhD prospectus, as well as the work necessary to generate an original MS thesis or PhD dissertation.
• ENG BE 951: Independent Study
  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 BF 501: Masters Project
  
• ENG BF 502: Masters Project
  
• ENG BF 527: Applications in Bioinformatics
  The field of bioinformatics is concerned with the management and analysis of large biological datasets (such as the human genome) for the purpose of improving our understanding of complex living systems. This course introduces graduate students and upper-level undergraduate students to the core problems in bioinformatics, along with the databases and tools that have been developed to study them. Computer labs emphasize the acquisition of practical bioinformatics skills for use in students research. Familiarity with basic molecular biology is a prerequisite; no prior programming knowledge is assumed. Specific topics will include the analysis of biological sequences, structures, and networks. E-mail questions to the instructors, Joshua Campbell (camp@bu.edu) and Jignesh Parikh (jparikh@bu.edu).
• ENG BF 541: Bioinformatics Internship
  Internships provide the bridge between classroom/laboratory study and ?real-world? employment. Each student must complete an internship with a minimum of 400 hours of on-the-job experience (e.g., 10 weeks full-time work in the summer). The format is very flexible, and part-time internships running concurrently with classes or employment are acceptable. Students must consult with their academic advisor to assess the suitability of a proposed internship.
• ENG BF 690: Bioinformatics Challenge Project
  Project course for first year Bioinformatics graduate students. Open-ended problems will involve bioinformatics as a key element, typically requiring the use of large data sets and computational analysis to make predictions about molecular function, molecular interactions, regulation, etc. Projects will be proposed by the Bioinformatics program faculty and selected by student in teams of three. The end result will be a set of predictions, some of which can be validated retrospectively using data available through online sources and some of which will require experimental validation. During the last 2 months of the academic year, teams will design feasible validation experiments in consultation with the experimental faculty.
• ENG BF 752: LAW&Eth Bio Sci
  
• ENG BF 778: Physical Chemistry for Systems Biology
  This course introduces students to quantitative modeling in bioinformatics and systems biology. We begin with basic principles of statistical thermodynamics, chemical kinetics, with selected applications in biomolecular systems. Next we describe molecular driving forces in biology, and computation with biomolecular structures. Finally we discuss quantitative models of biomolecular networks, and design principles of biological circuits.
• ENG BF 810: Phd Lab Rotat'N
  
• ENG BF 820: Bioinfo Opps
  
• ENG BF 821: Bioinformatics Graduate Seminar
  TBA
• ENG BF 900: Res Bioinfo
  

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