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Course Criteria
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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3.00 Credits
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.
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