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EPID 714: Grant Writing/Review
3.00 Credits
University of Pennsylvania
Farrar. Prerequisite(s): EPID510, EPID520, EPID 560, and EPID 570. This course is designed to provide background, and guidance on writing and submitting NIH grants. Students will submit a mini proposal at the beginning of the term. Each proposal will be reviewed bya goupd of 3 students from the class and scores will be given. The final project will be a full NIH proposal ready for submission.
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EPID 714 - Grant Writing/Review
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EPID 752: Categorical Data Analysis II.774.Statistical Methods for Evaluating Diagnostic Tests
3.00 Credits
University of Pennsylvania
Gimotty. Prerequisite(s): BSTA 510, BSTA 630, BSTA 631 or equivalent; permission of instructor. This course will cover statistical methodology for evaluating diagnostic tests.The topics will include: estimation of ROC curves, comparing multiple diagnostic tests, developing diagnostic tests using predictive models, measurement error effects on diagnostic tests, random effects models for multi-reader studies, verification bias in dosease classification, methods for time-dependent disease classifications, study design issues, related software, and metaanalyses for diagnostic test data.
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EPID 752 - Categorical Data Analysis II.774.Statistical Methods for Evaluating Diagnostic Tests
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EPID 805: Practicum In Applied Clinical Research Methods
3.00 Credits
University of Pennsylvania
Practicum In Applied Clinical Research Methods
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EPID 805 - Practicum In Applied Clinical Research Methods
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EPID 813: Biostatistics in Practice Lab
3.00 Credits
University of Pennsylvania
Faculty.
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EPID 813 - Biostatistics in Practice Lab
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EPID 816: Economic Evaluation of Medical Therapies
3.00 Credits
University of Pennsylvania
Faculty.
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EPID 816 - Economic Evaluation of Medical Therapies
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EPID 820: Statistical Inference III
3.00 Credits
University of Pennsylvania
Faculty. Prerequisite(s): To be advised. Statistical inference including estimation, confidence intervals, hypothesis tests and non-parametric methods.
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EPID 820 - Statistical Inference III
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ESE 099: Undergraduate Research and/or Independent Study
3.00 Credits
University of Pennsylvania
A maximum of 2 c.u. of ESE 099 may be applied toward the B.A.S. or B.S.E. degree requirements. An opportunity for the student to become closely associated with a professor in (1) a research effort to develop research skills and technique and/or (2) to develop a program of independent in-depth study in a subject area in which the professor and student have a common interest. The challenge of the task undertaken must be consistent with the student's academic level. To register for this course, the student and professor jointly submit a detailed proposal to the undergraduate curriculum chairman no later than the end of the first week of the term.
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ESE 099 - Undergraduate Research and/or Independent Study
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ESE 112: Introduction to Electrical and Systems Engineering-Devices
3.00 Credits
University of Pennsylvania
This is an introduction to the ESE major placing dual emphasis on the experience of modeling and design issues arising from engineering a complex physical system along with a coordinated introduction to programming for engineers. We will use the example of a legged robotic system as the motivating complex physical system to be engineered. There are two components of this class: a recitation focused on the craft of programming, and a laboratory experience that uses the empirical world to illustrate the context in which programming craft subserves disciplinary goals. Service learning (teaching targeted concepts to local high classes in prepared settings) opportunities will be available.
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ESE 112 - Introduction to Electrical and Systems Engineering-Devices
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ESE 116: Introduction to C Programming
3.00 Credits
University of Pennsylvania
Prerequisite(s): Knowledge of algorithms and at least one high-level programming language, e.g. ESE 115 or CSE 110. Intended as a connecter course between computer programming on high-level platforms and more detailed knowledge of processer organization, reading sensors, affecting actuators and understanding how software is used to control hardware. The final programming project is to control Lego robots. Details of the C language are covered, including functions, loops, types, characters, operators, strings, arrays, storage classes, structs, and pointers. Differences between C and Java are reviewed.
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ESE 116 - Introduction to C Programming
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ESE 200: Principles of Digital Design
3.00 Credits
University of Pennsylvania
The course provides an introduction to modern logic design and digital systems. It starts with an overview of the major building blocks of a computer. It covers combinational logic including logic gates, minimization techniques, arithmetic circuits and modern logic devices such as programmable logic arrays. The next part deals with sequential circuits: flip-flops, regist memories, and state machines. Case studies of real-world applications are used to illustrate the design of sequential circuits. The use of hardware description language will be introduced. There is a companion lab-based course, ESE 201, required for EE/CTE majors.
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ESE 200 - Principles of Digital Design
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