May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for electrical engineering and computer engineering graduate students who include relevant off-campus work experience as part of their approved program of study. Final report required. May not be taken for pass/fail credit or audited.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
Second part of two-term MA Thesis sequence for MRST MA Students.
M.A. Thesis Course for MARS-REERS program.
Escaping artificial intelligence has become a complicated task. Escaping the discourse about AI has become even more so. Whether we see in it a promise of progress, the vector of a dangerous regression, a fad that will eventually pass, a simple tool, discussions about AI are omnipresent. And when we ignore it, AI often affects our lives in ways we do not notice. Because AI has become integral to the discourses and the practices of contemporary societies, social scientists are being pressed to position themselves with respect to it.
The idea behind this course is that to understand what is at stake with AI, we first need to understand what AI is. It is useful to explore its origins, its history, the movements that have gone through it. It is also necessary to understand in concrete terms what a contemporary AI algorithm does. This means that we need to grasp, even intuitively, the difference between an expert system and a connectionist approach; why the Transformers architecture has allowed progress in the study of content; why neural networks are said to be “better at prediction than explanation”. Understanding what certain now-ubiquitous terms mean (such as RLHF, train/test/dev sets, AGI, zero and few-shot learning, ...) is also important for those who want to study contemporary societies.
Part two of two. In this course we will examine the normal physiological function of organ systems, the mechanisms for the maintenance of health, and the pathophysiological alterations in body function that lead to disease. Each class will focus on a specific physiologic process or organ system. We will pay particular focus to diseases that commonly occur across the lifespan, examining common etiologies, pathogenic mechanisms, clinical manifestations, and common treatments of each.
This course is designed to provide the student with a systematic approach to the delivery of health promotion and disease prevention in primary health care to individuals, families, communities, and aggregate populations.
The care coordination course is designed to provide nursing students the skills to provide patient-centered care, deliberately organize patient care activities and share information among all of the participants concerned with a patient's care to achieve safer and more effective care. Reducing high rates of errors, reducing high rates of readmission, improving satisfaction with care, addressing unmet needs in health care and reducing cost burden will also be explored.
In this course we will examine the normal physiological function of organ systems, mechanisms for the maintenance of health, pathophysiological alterations that lead to disease, and the fundamentals of pharmacological treatment of disease. We will focus on diseases that commonly occur across the lifespan, examining common etiologies, pathogenetic mechanisms, clinical manifestations, and common drug treatments of each. Basic principles of pharmacology will also be discussed, including pharmacokinetics, pharmacodynamics, and toxicities. There will be an overall focus on major pharmacologic agents used to treat the most common disease states with emphasis on relating the mechanism of action to the therapeutic use.
This graduate course is designed to provide the student with the knowledge and skills to facilitate changes in practice delivery using quality improvement strategies. Historical development for total quality management and strategies for implementing process improvement are emphasized. Students will learn how to develop a culture of appreciative inquiry to foster inquisition and innovation. Upon completion of this course, students will design a plan for implementation of a quality improvement project.
This graduate course is designed to provide the student with the knowledge and skills to facilitate changes in practice delivery using quality improvement strategies. Historical development for total quality management and strategies for implementing process improvement are emphasized. Students will learn how to develop a culture of appreciative inquiry to foster inquisition and innovation. Upon completion of this course, students will design a plan for implementation of a quality improvement project.
This course will form part of the continuing series on the development of professional skills. It is aimed at introducing the class to leadership and management skills that are as much a part of professional growth and success as technical ability. The primary focus will be on learning to recognize common lab situations that can quickly become problematic if not skillfully handled, and knowing the self-management and interpersonal skills that need to be developed in order to navigate such situations. In addition to this primary focus, there will be discussions on how these skills are transferable to many different types of work and life (the skills are applicable not just in academia).