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Course Criteria
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3.00 Credits
This course involves an investigation of various data structures, including stacks, queues, lists and trees, and searching and sorting techniques.
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3.00 Credits
Computer Architecture covers the nature and limitations of computers. The CPU is covered in detail, including processor, control, and memory design. Data path design and the ALU - both fixed and floating-point arithmetic - are covered. The course also includes pipeline and super scalar processing. Finally the I/O system is studied in some detail.
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3.00 Credits
This course provides an introduction to how artificial intelligence (AI) methods solve problems that are difficult or impractical to solve with other methods. The focus of the course is on learning how to determine when an AI approach is appropriate for a given situation, being able to select AI method, and implementing it. AI methods will be chosen from heuristic search and planning algorithms, formalisms for knowledge representation, and reasoning techniques and methods applicable to expert systems and games.
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3.00 Credits
This course introduces students to the concept of corporate social responsibility, which involves an examination of whether organizations should expand their focus from serving stockholders to also considering the impact of the firm's activities on diverse stakeholders. Practicing corporate social responsibility requires that a corporation meld business goals with societal expectations. To do so means addressing complex questions such as: What obligations do businesses have to the societies in which they operate? Can the interests of corporations and their outside stakeholders be aligned or are they in inherent conflict? This course examines these and other questions without prescribing simple solutions.
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3.00 Credits
This course introduces students to the field of clinical research and provides an overview of the environment, Food and Drug Administration (FDA) approval processes and regulations, and various elements involved in the development and conduct of clinical trials.
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3.00 Credits
This course provides students with an understanding of clinical research methods as well as current issues concerning drug and device development in the United States. Students will learn how to formulate a scientific literature search to inform their research efforts and will develop the skills that are necessary for critical evaluation of published studies. The design of clinical research will also be discussed in detail so that the student is prepared to recommend what type of study is best suited for answering a particular research question. This will include a discussion about prospective versus retrospective and cross-sectional designs, randomization and blinding methods, and parallel group versus cross-over studies. Next, students will learn about the various approaches for conducting a survey as a part of clinical research, with a discussion about the relative merits of conducting a survey versus using other sources of data. Specific study endpoints will also be discussed in detail, including economic/cost measures, health-related quality of life measures, and work productivity measures. Reliability and validity of study endpoints will be explored so that students are prepared to identify possible sources of error and bias in clinical studies. Finally, students will develop an understanding of current issues related to clinical research, including controversies surrounding the relationship between industry sponsors and researchers as well as the impact of biotechnology and the generics market on product development.
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3.00 Credits
This course provides an overview of the clinical data management process in pharmaceutical research settings. Introduction to Clinical Trials Data Management is one of four courses in the Clinical Trials Management curriculum.
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3.00 Credits
The purpose of this course is to gain a better understanding of the ethical issues and regulatory principles in clinical research. Each module has been designed to be a step-wise approach to understanding clinical research and how today's regulations impact tomorrow's drugs. Modules 1-3 take students through basics regulations. Module 1 discusses the basic of the Food and Drug Administration (FDA) by exploring the FDA's structure, history, and goals; Module 2 is an introduction to basic guidelines used when conducting clinical trials; and Module 3 talks about the primary applications that must be submitted to the FDA for drug approval. All 10 modules discuss ethics in clinical research; Modules 4-5 dig deeper into the realm of ethics by exploring early ethical guidelines, such as the Nuremberg Code and the Declaration of Helsinki; Module 5 then applies these guidelines to current practice. Modules 6-8 take the time to explore essential regulatory documents, regulatory inspections, and adverse event and safety monitoring, all essential aspects of running clinical trials. Finally, Modules 9-10 explore regulatory guidelines outside of the United States by discussing the basic regulatory guidelines in 21 other countries around the world. Each module has exercises designed to further enhance the student's drug development knowledge through reading, discussion boards, and assignments.
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3.00 Credits
Electronic Instrumentation and Control is designed to provide students with a basic understanding of the concepts related to industrial electronics and control systems. Students are exposed to industrial semiconductors, AC and DC motors, discrete and analog process control, switches and sensors, control systems, and principles of automation.
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3.00 Credits
This course studies the development of the programmable logic controllers (PLC), its components and operation, common methods of programming the PLC, and its applications in industry. The course is designed for students in a technical curriculum or occupation who have not had previous knowledge of or experience with PLCs and who need to develop the requisite background and skills in PLC programming to further their education and careers.
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