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Course Criteria
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2.00 Credits
Health education, immunizations, and medications pertinent to the traveler compose a distinct area of medical knowledge that has not been addressed in the curriculum. The medical student taking this course will be reviewing the major infectious illnesses of concern for each travel area. They will be responsible for the medical knowledge base and patient education needs about the mode of transmission and typical presentation of these illnesses, available behavioral intervention prevention methods, available vaccine prevention, options of chemical prophylaxis, and treatment if prevention is not successful. Students that took this course as a 2 week selective cannot take this course as a 4 week elective. Enrollment max: 1. Contact: Jody Crabtree at jody.crabtree@duke.edu for permission. Dr. Melanie Trost will be the contact person for this elective. She can be reached at 919-681-9355. 8:30am will be the start time unless otherwise instructed by Dr. Trost and you will need to meet at the Student Health Center, Duke South. Melanie Trost, MD
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4.00 Credits
This elective introduces students to the concepts and practice of community and population-based health care. Population-based care is becoming increasingly important in addressing the health needs of this nation. This elective helps students understand how Duke serves communities through collaborative, innovative, interdisciplinary clinical services, educational programs, and applied research. By allowing students to participate in actual programs, role modeling and experiential learning are used to supplement and apply what is learned in the required text-based materials of the course. Because the specific course activities depend upon the student's particular interests and the community health activities ongoing at the time of the elective, each student's experience will be individually designed. To participate in this course, students must contact Dr. Tran, via email at anh.tran@duke.edu at least six weeks prior to the start of the course. At that time, Dr. Tran and the student, along with appropriate community programming faculty and staff, will plan the specific activities that will be undertaken by that student, and the requirements for the student's successful completion of the course. Students may contact the Coordinator of Medical Student programs at 681-3066 for more information. Credit: 4; Enrollment max: 2. Ahn Tran
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4.00 Credits
This elective is designed to introduce students to the concepts and practice of primary care sports medicine. Over recent years there has been increased focus on physical fitness. More people are engaging in regular physical activity and the average life expectancy has increased. This increase in activity has also resulted in an increased number of musculoskeletal injuries. In order to provide good care to these patients physicians need to be well versed in treatment of musculoskeletal problems as well as the common medical problems that physically active people face. During this month-long elective, students will become familiar with the diagnosis, treatment, and prevention of musculoskeletal injuries as well as treatment of primary care issues such as HTN, hypertrophic cardiomyopathy, asthma, and mononucleosis. During this rotation students see patients in the Sports Medicine and Family Medicine clinics. Students also participate in the care of college and high school athletes. To participate in this rotation students must contact the Medical Student Program Coordinator, 681-3066, at least 6 weeks prior to the course. Credit: 4. Enrollment Max: 1 per month. Jeff Bytomski, MD and Blake Boggess, MD
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4.00 Credits
This elective provides students with an opportunity to explore the integration of medicine and information technologies in an experiential manner by working on an ongoing or self-initiated medical IT project. In doing so, students will gain an understanding of the field of clinical informatics and the role it plays in the national effort to improve quality of care and eliminate medical errors. Additionally, students will be exposed to these topics : Electronic medical systems (e.g. EMR, CPOE, eRx, PHR, CDS); Role of health IT in patient safety; Health information standardization (e.g. HL7); and Medical Information Terminologies/Taxonomies (e.g. SNOMED). Permission of the instructor is required. Enrollment: 1 (spring 2010; 2 spring 2011) Credit: 4. David Lobach, MD/PhD; Guilherme del Fiol, MD/PhD; Ken Kawamoto, MD/PhD; and Ed Hammond, PhD
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1.00 Credits
An overview for students not intending to major in computer science. Computer programming, algorithms, symbolic and numeric computation, computer systems, basic theoretical foundations, and the effects of computer and information technology on society. Not open to students having credit for Computer Science 6 or higher. Instructors: Forbes
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1.00 Credits
A continuation of Computer Science 6. Object-oriented design and programming using a language like Java emphasizing abstract data types and their lower-level implementations. Advanced data structures including balanced trees, hash tables, graphs. Intuitive and rigorous analysis of algorithms. Prerequisite: Computer Science 6. Instructor: Astrachan, Duvall, Forbes, or Rodger
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1.00 Credits
Same as Computer Science 100, for students who have taken Engineering 53. Overview of advanced data structures and analysis of algorithms, data abstraction and abstract data types, object-oriented programming, proofs of correctness, complexity, and computability. Instructor: Astrachan, Duvall, Forbes, or Rodger
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1.00 Credits
Mathematical notations, logic, and proof; linear and matrix algebra; graphs, digraphs, trees, representations, and algorithms; counting, permutations, combinations, discrete probability, Markov models; advanced topics from algebraic structures, geometric structures, combinatorial optimization, number theory. Prerequisites: Mathematics 31 and 32; Computer Science 6. Instructor: Agarwal, Edelsbrunner, Forbes, Reif, or Tomasi
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1.00 Credits
Computer structure, machine language, instruction execution, addressing techniques, and digital representation of data. Computer systems organization, logic design, microprogramming, and interpreters. Symbolic coding and assembly systems. Prerequisite: Computer Science 100 or consent of instructor. Instructor: Kedem or Lebeck
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1.00 Credits
Techniques for design and construction of reliable, maintainable and useful software systems. Programming paradigms and tools for medium to large projects: revision control, UNIX tools, performance analysis, GUI, software engineering, testing, documentation. Prerequisite: Computer Science 100. Instructor: Astrachan or Duvall
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