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Course Criteria
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3.00 Credits
This course focuses on the quantitative tools utilized in operational excellence. Tools include check sheets, Pareto charts, cause and effect diagrams, run charts, histograms, scatter diagrams, control charts, etc. Students review measures of quality and the implementation of quality improvement techniques. Students also devote a large measure of time to operational excellence problem techniques. Prerequisite: Statistics I or permission of instructor. Offered Fall semester. Three credits.
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3.00 Credits
This is the capstone course for all business majors and as such covers aspects of the McKenna school curriculum. The class covers the field of strategic management. This course utilizes a multiperformance approach. Each student participates in a simulation where teams operate and control every aspect of a corporation. Each corporation then competes in this virtual reality, utilizing every business course they have taken in various decisions that are required. Students are not only expected to understand the role various levels of management play in strategic planning and control, but are required to demonstrate the abilities throughout the simulation. The course also utilizes case studies to give reallife examples of strategic situations. Students must be able to conduct an internal and external analyses (SWOT, 5 Forces, etc) of the company, which includes an analysis of cultural and political issues. Students must be adept at creating and presenting business applications, cases, etc. on PowerPoint technology. Students must demonstrate a fluid facility with major presentation technology, including overhead CD rom, VCR, DVD, Internet, Microsoft PowerPoint and Excel, Blackboard, and Smart Board technology. Prerequisite: Senior status. Every semester. Three credits.
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3.00 Credits
This course provides a largely principle-based exploration of issues related to Operational Excellence. Although drawing on a variety of sources, major emphasis is on "Lean," in the mannerpracticed by Toyota, and its applicability to many types of operational problems in diverse organizations. Using a combination of lectures, Harvard and other case studies, and class discussion the course aims to equip students with the ability and confidence to more clearly and deeply assess problems and develop solutions that aspire to highest standards. Prerequisite: BA 492 or equivalent work experience. Offered Fall semester. Three credits.
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3.00 Credits
This course presents a theoretical and applied treatment of a pervasive and challenging task of leading in the new global economy- continuously and successfully dealing with the issues of constant improvement within a framework of ethical leadership. Students will learn the leadership theories, concepts, and applications that will allow them to successfully initiate, analyze, and implement various types of organizational changes. BA 497 is the capstone class for the operational excellence minor. Offered Fall semester. Three credits.
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3.00 Credits
May be repeated. Offered every semester. Variable credit.
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2.00 Credits
Spend your Spring break in a city abroad. The curriculum varies according to the city visited, but focuses on the various business and cultural themes. Offered Spring semester. Pass/Fail. Two credits.
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6.00 Credits
This course pertains to Business Administration Internships where work experience is utilized to extend the student's learning experience. Students are employed in an area related to their academic endeavor. The purpose of the program is to integrate academic studies and employment activities. Offered every semester. McKenna School students have an upward limit of six credits for internships. Pass/fail optional only. Variable credit up to three credits.
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3.00 Credits
An introduction to various techniques used in bioinformatics, including the algorithms and statistical concepts upon which they are based. The focus is on comparison and analysis of DNA and protein sequences. Students will learn about the types of biological questions that can be addressed using computational methods, and develop a deeper understanding of the computational tools available to address these questions. This understanding will be demonstrated in an end-of-semester project. Topics covered will include pairwise sequence alignment, sequence database searching, multiple sequence alignment, genome analysis, protein structure modeling, and an introduction to proteomics. Students majoring in any of the natural sciences, computing and information science, or mathematics are welcome to take the course. Offered Fall semester. Three credits.
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3.00 Credits
An introduction to a variety of data types, databases, and data structures used in bioinformatics. The focus is on relational databases and integration of diverse data types in a biomedical context. Students will learn how existing database tools, such as Microsoft Access and MySQL, can be used in biomedical informatics using data from authentic clinical trials as an example. Topics covered will include relational databases, data modeling, and integration of biological data. Also covered will be introductions to various biomedical assays (e.g. flow cytometry, microarrays, Enzyme-linked immunosorbent assays) and the types of data they produce. Students majoring in any of the natural sciences, computing and information science, or mathematics are welcome to take the course. Offered Spring semester. Three credits.
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3.00 Credits
The student will pursue a faculty directed course of study. Variable credit. May be repeated.
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