Engineering Core

• 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 127: Engineering Computation
  An introduction to engineering problem solving using a modern computational environment. Basic procedural programming concepts include input/output, branching, looping, functions, file input/output, and data structures such as arrays and structures. An introduction to basic linear algebra concepts such as matrix operations and solving sets of equations. Introduction to numerical methods, for example least squares solutions and their use for curve fitting. Programming projects provided by all College of Engineering departments will reinforce these concepts and introduce engineering freshmen to the various disciplines.
• ENG EK 130: Introduction to Engineering
  Introduction to engineering analysis and/or design offered by participating engineering faculty. Course presents students with key concepts and techniques relevant to an applied area of engineering. Limited to freshmen and sophomores (students with less than 64 credits toward degree requirements). 4 cr, either sem.
• ENG EK 131: Introduction to Engineering
  Introduction to engineering analysis and/or design through a sequence of two modules or minicourses chosen from a selection of modules offered by participating engineering faculty. Each module presents students with key concepts and techniques relevant to an applied area of engineering. Limited to freshmen and sophomores (students with less than 64 credits toward degree requirements). 2 cr, either sem.
• ENG EK 132: Introduction to Engineering
  Introduction to engineering analysis and/or design through a sequence of two modules or minicourses chosen from a selection of modules offered by participating engineering faculty. Each module presents students with key concepts and techniques relevant to an applied area of engineering. Limited to freshmen and sophomores (students with less than 64 credits toward degree requirements). 2 cr, either sem.
• ENG EK 156: Design and Manufacture
  Introduction to design and processing steps required in manufacturing. Specialized project involving the design, scheduling, budgeting, and building a project selected by the student with the consent of the instructor. Includes lab.
• ENG EK 280: Technology and Society
  Examination of technology as a fundamental element of and driving force in our culture. Balanced understanding of the promises, consequences, and dilemmas brought about by specific technologies. Opportunity to improve critical thinking abilities and to broaden perspectives and sense of responsibility of new professionals as they become involved in decisions related to technology. ENG EK 280 (for engineering students) meets with CAS SO 277 (for non-engineering students) and fulfills 4 credit hours of social science elective as a sociology course. The course cannot be used as a core elective.
• ENG EK 301: Engineering Mechanics I
  Fundamental statics of particles, rigid bodies, and trusses; dynamics of particles: Newton's laws of motion; energy and momentum methods. Application of vector analysis and introduction to engineering design. Includes design project. (MET EK 311 and EK 312 fulfill this requirement, however only 4 credits can be applied towards the graduation requirement.)
• ENG EK 304: Energy and Thermodynamics
  Macroscopic treatment of the fundamental concepts of thermodynamic systems. Zeroth, first, and second laws; properties of simple compressible substances; entropy; energy availability; ideal gas mixtures and psychometrics; and thermodynamic cycles. Application to engines, refrigeration systems, and energy conversion. Includes lab.
• ENG EK 307: Electric Circuit Theory
  Introduction to electric circuit analysis and design; voltage, current, and power, circuit laws and theorems; element I-V curves, linear and nonlinear circuit concepts; operational amplifier circuits; transient response of capacitor and inductor circuits, sinusoidal-steady-state response, frequency response, transfer functions; Includes design-oriented laboratory. (MET EK 317 and EK 318 fulfill this requirement; however, only 4 credits can be applied toward the graduation requirement.) 4cr.
• ENG EK 335: Environmntl ENG
  
• ENG EK 408: Int Clean Enrgy
  
• ENG EK 409: Engineering Economy
  Analysis of engineering alternatives for replacement. Present worth analysis. Cost control,budgeting, and indirect costs and their allocation. Company startups, stock ownership, and annual reports. Cost optimization, economic life, taxes,inflation, inventories, and depreciation accounting. Contract negotiations,professional ethics, and cost proposal preparation. Evaluation of public projects.
• ENG EK 420: Introduction to Parallel Computing
  Introduces fundamental methods for scientific computing in the context of massively parallel computation. Discussions are organized around important algorithmic concepts and specific applications chosen to illustrate the methods. Different parallel computation models are evaluated within the framework of specific algorithms. Students are required to observe, modify, and/or design programs suitable for running on highly parallel architectures such as the Connection Machine, and on current multiprocessor systems. In addition, students are required to develop competence with a variety of tools useful in the parallel computing environment including graphical methods to analyze large data sets, the high-level parallel language C++, and X-windows. Same as CAS CS 420. Alternates with CS 420.
• ENG EK 424: Thermodynamics and Statistical Mechanics
  Thermodynamic systems. Heat,temperature, and pressure. State variables and equations of state. First and second laws of thermodynamics. Kinetic theory. Entropy. Statistical Thermodynamics. Partition function. Thermodynamic potentials. Equilibrium. Chemical reactions. Phase transitions. Colligative Properties. electrochemical reactions. Applications to problems of biomedical interest will be emphasized.4 cr.
• ENG EK 497: Undergraduate Part-Time Co-op Experience
  Students work part-time, as defined by their employing company, while registering for 8-11 credits. Registration for 12 or more credits requires the written approval of the director. Students registered in ENG EK 497E are assessed a fee upon placement.
• ENG EK 498: Undergraduate Co-op Experience
  Students register only upon receiving a cooperative education position. The Cooperative Education Program helps students to integrate classroom theory with actual engineering experience. Under professional supervision, students learn firsthand about the engineering environment by working in a paid, full-time position in a medical or research facility, private business, industry, or governmental agency. Through seminars on topics such as self-assessment, identification of work skills, résumé writing, interview skills, and understanding the corporate world, students learn the broad career skills required to obtain co-op and permanent employment.
• ENG EK 500: Probability with Statistical Applications
  A first course in probability, random processes, and statistics for students with a level of mathematical maturity and experience comparable to that normally found in entering graduate students. Sample spaces, probability measures, random variables, expectation, applications of transform methods, stochastic convergence and limit theorems, second order statistics, introduction to random processes, estimation, filtering, and elementary hypothesis testing. May not be taken for credit in addition to ENG EC 381 or ENG ME 308. 4 cr
• ENG EK 501: Mathematical Methods I: Linear Algebra and Complex Analysis
  Introduction to basic applied mathematics for science and engineering, emphasizing practical methods and unifying geometrical concepts. Topics include linear algebra for real and complex matrices. Quadratic forms, Lagrange multipliers and elementary properties of the rotation group. Vector differential and integral calculus. Complex function theory, singularities and multi-valued functions, contour integration and series expansions. Fourier and Laplace transforms. Elementary methods for solving ordinary linear differential and systems of differential equations with applications to electrical circuits and mechanical structures.

Note that this information may change at any time.

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