ENGINEERING AND APPLIED SCIENCE (EG) {EAS}
SM 001. Engineering Ethics Seminar. The increasing scale, complexity, and social impact of technology have forced
the engineering community to reexamine issues of professional ethics and responsibility. In these seminars
students will participate in discussions oriented
around a series of real-world case studies involving
a wide range of contemporary controversies, including
the Challenger disaster, software liability, and
intellectual property issues. The goal is to provide
students with tools for thinking about the complex
ethical issues that they were likely to encounter
in their own academic and professional careers.
SM 009. Writing About Science and Engineering. (A) Using the approaches of such computer scientists as Donald A Norman (The Design
of Everyday Things) and Alan Cooper, the father of
Visual Basic, this writing seminar will explore issues
and ideas related to the creative process and end
results of how everyday objects are designed and
used, from light switches and telephones to computer
software. This seminar is intended for anyone who
is interested in thinking about everyday life and
its objects and learning about what goes into the
design process. We will explore design failures and
successes, and learn how attention to the objects
in our everday lives and how these were designed
changes our perspective toward not only the objects
that surround us, but our very lives and culture.
Along with readings from Norman and Cooper, readings
will also likely be drawn from journals, magazines,
newspapers. Students will be expected to write and
revise 3 four-to-six page papers, one-page responses,
in-class writings and a reading and idea journal.
This is a writing seminar--and as such fulfills the entire Writing Requirement
for students in all four undergraduate schools. The
seminar contents vary from semester to semester;
for a current description, please see the Writing
Program web site: www.english.upenn.edu/Writing.
099. Independent Study. (C) Prerequisite(s): Permission via application process. An opportunity for the
student to apply the theoretical ideas and tools
learned from other courses through self study of
a particular topic supervised by a sponsoring facutly
member. To request approval for an independent study
course, the student must submit a detailed proposal, signed by the supervising professor,
the student's assigned Faculty Advisor, and departmental
Undergraduate Chair, to the Office of Academic Programs
two weeks prior to the start of the term.
101. Introduction to Engineering. (C) This course is intended to introduce students to the field of engineering. It
will expose students to the engineering disciplines
through hands-on laboratory experiences. In addition,
the course will provide tutorials on how to use important
software packages as well as a "Professional
Preparation" module through studies of communication
(writing and speaking skills), ethics, leadership
and teamwork. This course is ideal for any freshman
interested in exploring the possibility of studying
engineering at Penn. The course counts as as a engineering
requirement in SEAS.
L/L 105. Introduction to Scientific Computing. (A) This course will provide an introduction to computation and data analysis using
MATLAB - an industry standard programming and visualization
environment. The course will cover the fundamentals
of computing including: variables, functions, flow
control, iteration and recursion. These concepts
will be illustrated through examples and assignments
which show how computing is applied to various scientific
and engineering problems. Examples will be drawn
from the simulation of physical and chemical systems,
the analysis of experimental data, Monte Carlo numerical
experiments, image and audio processing, and control
of sensors and actuators. This course does not assume
any prior programming experience but will make use
of basic concepts from calculus and Newtonian physics.
125. (CIS 125) Technology and Policy. (C) Have you ever wondered why sharing music and video generates such political
and legal controversies? Is information on your PC
safe and should law enforcement be able to access
information you enter on the Web? Will new devices
allow tracking of your every move and every purchase?
CIS 125 is focused on developing an understanding
of existing and emerging technologies, along with
the political, societal and economic impacts of those
technologies. The technologies are spread across
a number of engineering areas and each of them raise
issues that are of current concern or are likely
to be a future issue.
L/R 205. Applications of Scientific Computing. (C) Prerequisite(s): Prior exposure to computing via courses such as EAS 105, CIS 110, or ESE 112. Math 114, Sophomore standing. This course will discuss a number of canonical problems and show how numerical
methods are used to solve them. Lectures will introduce the underlying theory and the relevant numerical methods.
Students will be expected to implement solutions to the problems using MATLAB. The course will use the visualization
capabilities of MATLAB to provide students with a
geometric interpretation of the key ideas underlying
the numerical methods. Topics to be covered will
include: The solution of systems of linear systems
equations with application to problems such as force
balance analysis and global illumination computation.
Representing and computing coordinate transformations
with applications to problems in graphics, vision
and robotics. Transform Coding with applications
to the analysis of audio signals and image compression.
Analysis of variance and the search for low dimensional
representations for high dimensional data sets egs.
Google's PageRank algorithm. Least Squares model
fitting with applications to data analysis. Analysis
of linear dynamical systems with applications to
understanding the modes of vibration of mechanical
systems. The analysis of stochastic systems governed
by state transition matrices.
210. Introduction to Nanotechnology. (A)
280. (BE 280) Bioengineering in the World. (C) Open to all majors at Penn, this course explores the wide-range of bioengineering
applications 'in the world' and then takes these
concepts 'into the world' by teaching them to a small
group of students at the high school level. Students
will learn fundamental concepts behind bioengineering
applications such as Gene Therapy, Stem Cells, Neuroengineering,
Tissue Engineering, Biomechanics, Imaging, and Medical
Devices. They will also develop effective methods
for teaching technical concepts. At the high school,
the Penn students will perform hands-on activities
with the high school students, discuss ethical questions
related to each topic, and explore career options.
281. Multimedia Tools and Technology. (C)
285. Teaching Computer Science Basics. (C) Faculty.
L/R 303. (BE 303) Ethics, Social, and Professional Responsibility for Engineers.
(A) Provides an overview of the ethical, social, and professional responsibilities
of engineers, as engineering professionals, as members
of engineering organizations and as investigators
in research. The course will make extensvie use of
student group presentations and in the analysis of
cases based on real-world problems with ethical dimensions,
many drawn from current news. The case studies will
vary from year to year, but will be chosen to be
relevant to studens interested in different careers
in engineering, including research.
349. Ideas to Assets. (M) Prerequisite(s): Sophomore or higher standing. Not every idea leads to a great
product. The process of "crystallizing" a
clever idea into a saleable asset demands a mix of
creativity, systems thinking, sound business instincts,
and the courage to do things differently. Students
in this project-centered course will gain the necessary
skills and experience from concentrated work on early-stage
inventions drawn from Penn's technology portfolio.
Is the invention feasible? Patentable? How should
it be designed and produced? What will it cost? Is
there a market? Does the payoff justify the investment?
These and similar questions will be answered through
a multifaceted process including analysis, experimentation,
design, and/or market research. The projects are
not "case studies", but rather involve
real, current intellectual property of potential
value to the University. Inventors and specialists
from the Center for Technology Transfer will be available
to collaborate with the student teams. Project work will be complemented by lectures and exercises dealing
with the patent process, cost and market estimation,
project planning, economic analysis, and the systems
approach to new product design.
400. (EAS 500) Technical Communication in Engineering Practice. (C) Prerequisite(s): SEAS undergraduates must have already fulfilled their SEAS Writing Requirement. Students will learn methods and approaches for written technical communication
within the engineering environment. These include strategies for maximum effectiveness in writing technical documentation,
reports, instructions, and proposals. Assignments will include self-editing and peer editing techniques,
as well as strategies to effectively mentor other writers.
401.(EAS 501) Energy and Its Impacts. (C) Any university student interested in energy and its impacts, preferably at the upper level undergraduate and non-engineering graduate level
of maturity. Students taking the course as EAS 501 will be given assignments commensurate with graduate standing. The objective is to introduce students to one of the most dominating and compelling
areas of human existence and endeavor: energy, with its foundations in technology, association to economics,
and impacts on ecology and society. This introduction is intended both for general education and awareness and for
preparation for careers related to this field. The course spans from basic principles to applications. A review of energy
consumption, use, and resources; ecological impacts, sustainability and design of sustainable energy systems;
methods of energy analysis; forecasting; electricity generation systems (steam and gas turbine based power plants, fuel
cells), energy for transportation (cars, aircraft, and ships); nuclear energy and wastes; renewable energy use: solar,
wind, hydroelectric, geothermal, biomass; prospects for future energy systems: fusion power, power generation in space.
402.(EAS 502) Renewable Energy and It's Impact. (C) Prerequisite(s): Any undergraduate and graduate university student interested
in renewable energy and its impacts, preferably
at the upper level undergraduate and non-engineering
graduate level of maturity.
The objective is to introduce students to the major aspects of renewable energy,
with its foundations in technology, association to
economics, and impacts on ecology and society. This
introduction is intended both for general education
and awareness and for preparation for careers related
to this field. The course spans from basic principles
to applications. A review of solar, wind, biomass,
hydroelectric, geothermal energy, and prospects for
future energy systems such as renewable power generation
in space.
499. Senior Capstone Project. (C) The Senior Capstone Project is required for all BAS degree students, in lieu
of the senior design course. The Capstone Project
provides an opportunity for the student to apply
the theoretical ideas and tools learned from other
courses. The project is usually applied, rather than
theoretical, exercise, and should focus on a real
world problem related to the career goals of the
student. The one-semester project may be completed
in either the fall or sprong term of the senior year,
and must be done under the supervision of a sponsoring
faculty member. To register for this course, the
student must submit a detailed proposal, signed by
the supervising professor, and the student's faculty
advisor, to the Office of Academic Programs two weeks
prior to the start of the term.
500. (EAS 400) Technical Communication in Engineering Practice. (C) This course is not intended for nonnative speakers of English and will not address their specific language needs.
Students whose native language is not English should
register for EAS 510.
Students will learn methods and approaches for written technical communication
within the engineering environment. These include
strategies for maximum effectiveness in writing technical
documentation, reports, instructions, and proposals.
Assignments will include self-editing and peer editing
techniques, as well as strategies to effectively
mentor other writers.
502. (EAS 402) Renewable Energy and It's Impact. (C) Prerequisite(s): Any undergraduate and graduate university student interested
in renewable energy and its impacts, preferably at
the upper level undergraduate and non-engineering
graduate level of maturity.
The objective is to introduce students to the major aspects of renewable energy,
with its foundations in technology, association to
economics, and impacts on ecology and society. This
introduction is intended both for general education
and awareness and for preparation for careers related
to this field. The course spans from basic principles
to applications. A review of solar, wind, biomass,
hydroelectric, geothermal energy, and prospects for
future energy systems such as renewable power generation
in space.
510. Technical Communication and Academic Wrting for Non-native Speakers of English.
(B) Graduate students whose native language is English, but who would benefit from
a course in Technical Communication, should take
EAS 500.
Students will improve the grammar, word choice and organization of their professional
writing by completing weekly writing assignments
and a full-length research paper. Students will also
give short oral presentations and receive feedback
on pronunciation, wording, grammar and organization.
511.Engineering Entrepreneurship I. (C) Prerequisite(s): Third or Fourth year or Graduate standing. Engineers and scientists
create and lead great companies, hiring managers
when and where needed to help execute their vision.
Designed expressly for students having a keen
interest in technological innovation, this course
investigates the roles of inventors and founders
in successful technology ventures. Through case
studies and guest speakers, we introduce the
knowledge and skills needed to recognize and
seize a high-tech entrepreneurial opportunity
- be it a product or service - and then successfully
launch a startup or spin-off company. The course
studies key areas of intellectural property,
its protection and strategic value; opportunity
analysis and concept testing; shaping technology
driven inventions into customer-driven products;
constructing defensible competitive strategies;
acquiring resources in the form of capital, people
and strategic partners; and the founder's leadership
role in an emerging high-tech company. Throughout
the course emphasis is placed on decisions faced
by founders, and on the sequential risks and
determinants of success in the early growth phase of a technology venture. The course is
designed for, but not restricted to, students
of engineering and applied science and assumes
no prior business education.
520.Engineering Entrpreneurship II. (C) Prerequisite(s): EAS 445, 545. This course is the sequel to EAS 545 and focuses
on the planning process for a new technology venture.
Like its prerequisite, the course is designed
expressly for students of engineering and applied
science having a keen interest in technological
innovation. Whereas EAS 545 investigates the
sequential stages of engineering entrepreneurship
from the initial idea through the early growth phase of a startup company, EAS 546
provides hands-on experience in developing a business
plan for such a venture. Working in teams, students
prepare and present a comprehensive business plan for a high-tech opportunity. The course expands on topics from
EAS 545 with more in-depth attention to: industry
and marketplace analysis; competitive strategies
related to high-tech product/service positioning,
marketing, development and operations; and preparation
of sound financial plans. Effective written and verbal
presentation skills are emphasized throughout the
course. Ultimately, each team presents its plan to
a distinguished panel of recognized enterepreneurs,
investors and advisors from the high-tech industry.
898. CPT Research Practicum. (C)
ENGINEERING MATHEMATICS (ENM)
220. Discrete Dynamical Systems and Chaos. (C) Prerequisite(s): MATH 103, MATH 104 and MATH 114 (Calculus of a Single Variable and some knowledge of Comples Numbers). This
course will cover the mathematics behind the dynamics
of discrete systems and difference equations. Topics
include: Real function iteration, Converging and
Diverging sequences, Periodic and chaotic sequences,
Fixed-point, periodic-point and critical-point theories,
Bifurcations and period-doubling transitions to chaos,
Symbolic dynamics, Sarkovskii's theorem, Fractals,
Complex function iterations, Julia and Mandelbrot
sets. In the past, mathematics was learned only through
theoretical means. In today's computer age, students
are now able to enjoy mathematics through experimental
means. Using numerous computer projects, the student
will discover many properties of discrete dynamical
systems. In addition, the student will also get to
understand the mathematics behind the beautiful images
created by fractals. Throughout the course, applications
to: Finance, Population Growth, Finding roots, Differential
Equations, Controls, Game and Graph Problems, Networks,
Counting Problems and other real-world systems will
be addressed.
321. Engineering Statistics. (C) This course covers the topics in probability and statistics with an emphasize
on the application of probability theories and statistical
techniques to practical engineering problems. Mathematical
derivations of theorems will be presented whenever
it is necessary to illustrate the concepts involved,
however.
L/R 402. (ENM 502) Numerical Methods and Modeling. (B) Sinno. Prerequisite(s): Knowledge of a computer language, Math 240 and 241; ENM 510 is highly recommended; or their equivalents. Numerical modeling using effective algorithms with applications to problems
in engineering, science, and mathematics, and is intended for graduate and advanced undergraduate students in these areas.
Interpolation and curve fitting, numerical integration, solution of ordinary and partial differential equations
by finite difference, and finite element methods. Includes use of representative numerical software packages such as
MATLAB PDE Toolbox.
427. (MEAM527) Finite Elements and Applications. (C) Prerequisite(s): MATH 241 and PHYS 151. The objective of this course is to
equip students with the background needed to carry
out finite elements-based simulations of various
engineering problems. The first part of the course
will outline the theory of finite elements. The second
part of the course will address the solution of classical
equations of mathematical physics such as Laplace,
Poisson, Helmholtz, the wave and the Heat equations.
The third part of the course will consist of case
studies taken from various areas of engineering and the sciences on topics that require or
can benefit from finite element modeling. The students
will gain hand-on experience with the multi-physics,
finite element package FemLab.
L/R 502. (ENM 402) Numerical Methods and Modeling. (B) Sinno. Prerequisite(s): Knowledge of a computer language, Math 240 and 241; ENM 510 is highly recommended; or their equivalents. Numerical modeling using effective algorithms with applications to problems
in engineering, science, and mathematics, and is intended for graduate and advanced undergraduate students in these areas.
Interpolation and curve fitting, numerical integration, solution of ordinary and partial differential equations
by finite difference, and finite element methods. Includes use of representative numerical software packages such as
MATLAB PDE Toolbox.
503. Introduction to Probability and Statistics. (A) Prerequisite(s): MATH 240 or equivalent. Introduction to probability. Expectation. Variance. Covariance. Joint probability.
Moment generating functions. Stochastic models and applications. Markov chains. Renewal processes. Queuing
models. Statistical inference. Linear regression. Computational probability. Discrete-event simulation.
510. Foundations of Engineering Mathematics - I. (A) Prerequisite(s): MATH 240, MATH 241 or equivalent. This is the first course of a two semester sequence, but each course is self
contained. Over the two semesters topics are drawn from various branches of applied mathematics that are relevant to engineering
and applied science. These include: Linear Algebra and Vector Spaces, Hilbert spaces, Higher-Dimensional
Calculus, Vector Analysis, Differential Geometry, Tensor Analysis, Optimization and Variational Calculus,
Ordinary and Partial Differential Equations, Initial-Value and Boundary-Value Problems, Green's Functions, Special
Functions, Fourier Analysis, Integral Transforms and Numerical Analysis. The fall course emphasizes the study
of Hilbert spaces, ordinary and partial differential
equations, the initial-value, boundary-value problem,
and related topics.
511. Foundations of Engineering Mathematics - II. (B) Prerequisite(s): ENM 510 or equivalent. Vector Analysis: space curves, Frenet
- Serret formulae, vector theorems, reciprocal systems,
co and contra variant components, orthogonal curvilinear
systems. Matrix theory: Gauss-Jordan elimination,
eigen values and eigen vectors, quadratic and canonical
forms, vector spaces, linear independence, Triangle
and Schwarz inequalities, n-tuple space.Variational
calculus: Euler-Lagrange equation, Finite elements,
Weak formulation, Galerkin technique, FEMLAB. Tensors:
Einstein summation, tensors of arbitrary order, dyads
and polyads, outer and inner products, quotient law, metric tensor, Euclidean and Riemannian spaces, physical components,
covariant differentiation, detailed evaluation of
Christoffel symbols, Ricci's theorem, intrinsic differentiation,
generalized acceleration, Geodesics.
520. Theory and Computation for ODE/PED-constrained optimization. (A) Prerequisite(s): Basic theory of ordinary and partial differential equations. This course introduces the basic
theory and algorithms for nonlinear optimization
for continuum systems. Emphasis will be given in
numerical algorithms that are applicable to problems
in which the constraints are ordinary or partial
differential equations. Such problems have numerous
applications in science and engineering. Lectures
and homeworks will examine examples related to control,
design, and inverse problems in vision, robotics,
computer graphics, bioengineering, fluid and solid
mechanics, molecular dynamics, and geophysics.
540. Topics In Computational Science and Engineering. Prerequisite(s): Background in ordinary and partial differential equations; proficiency in a programming language such as MATLAB,
C, or Fortran. This course is focused on techniques for numerical solutions of ordinary and
partial differential equations. The content will include: algorithms and their analysis for ODEs; finite element analysis
for elliptic, parabolic and hyperbolic PDEs; approximation theory and error estimates for FEM.
600. Functional Analysis. (A) Prerequisite(s): ENM 500, ENM 501 or ENM 510, ENM 511 or equivalent. This course teaches the fundamental concepts underlying metric spaces, normed
spaces, vector spaces, and inner- product spaces. It begins with a discussion of the ideals of convergence and
completeness in metric spaces and then uses these ideas to develop the Banach fixed-point theorem and its applications
to linear equations, differential equations and integral equations. The course moves on to a study of normed spaces,
vector spaces, and Banach spaces and operators defined on vector spaces, as well as functional defined between
vector spaces and fields. The course then moves to the study of inner product spaces, Hilbert spaces, orthogonal complements,
direct sums, and orthonormal sets. Applications include the study of Legendre, Hermite, Laguerre, and Chebyshev
polynomials, and approximation methods in normed spaces. The course then concludes with a study of eigenvalues
and eigenspaces of linear operators and spectral theory in finite-dimensional vector spaces.
601. Special Topics in Engineering Mathematics - Nonlinear Dynamics and Chaos. (B) Prerequisite(s): Permission of Instructor. Continuous Dynamical Systems: Nonlinear Equations versus Linear Equations, One-Dimensional
Flows: Flows on a Line, Fixed Points and Stability, Linear Stability Analysis, Potentials, Bifurcations,
and Flows on the Circle. Two- Dimensional Flows: Linear Systems, Eigenvalues and Eigenvectors, Classification
of Fixed Points, Phase Portraits, Conservative Systems, Reversible Systems, Index Theory, Limit Cycles, Gradient
Systems, Liaponov Functions, Poincare-Bendixson Theorem, Lienard Systems, Relaxation Oscillations, Weakly
Nonlinear Oscillators, Perturbation Theory, Saddle-Node, Transcritical and Pitchfork Bifurcations, Hopf Bifurcations,
Global Bifurcations of Cycles, Hysteresis, and Poincare Maps. Three-Dimensional Flows: The Lorenz Equations,
Strange Attractors and Chaos, The Lorenz Map.
Discrete Dynamical Systems: One-Dimensional Maps, Chaos, Fixed Points and Cobwebs,
The Liapunov Exponent, Universality and Feigenbaum's
Number, Renormalization Theory, Fractals, Countable
and Uncountable Sets, The Cantor Middle-Thirds Set,
Self-Similar Fractals and Their Dimensions, The von
Koch Curve, Box Dimension and Multifractals.
BIOTECHNOLOGY (BIOT)
700. Biotechnology Seminar. (C)
This is a seminar course where students hear different perspectives in the biotechnology
and pharmaceutical industry. Speakers will discuss
their experiences in business startups, technology
transfer, bioinformatics, pharmaceutical houses,
and academics.
899. Independent Study. (C) |
