This course will explore the historical perspectives, current applications, and future directions of biotechnology. The course will consist of informal lectures and interactive discussions led by Agricultural and Medical Biotechnology faculty and visiting professionals. The course will also orient students to the educational/career opportunities in Biotechnology and assist them in developing a focus for their degree programs.
An experiential education internship focusing on introducing students to the culture and activities of a science lab without the pressure or expectation of research productivity. Students will gain experience and confidence with important laboratory activities such as (but not limited to) maintaining clean equipment, media preparation, biological organism maintenance, and data organization and analysis.
This course introduces data management and mining concepts and practices. relational databases, structured query language (SQL), and data analytics tools incorporated to introduce data structure, database design, data queries and data manipulation.
This course is an introduction to the use of analytical modeling for supporting decision making in accounting, taxation, and auditing. It explores the use of analytical models and technologies including data mining and descriptive, predictive, and prescriptive modeling.
This course introduces principles and applications of business data management. Data management principles and applications will include harvesting and cleaning data, relational databases, and structured query language (SQL). It includes a semester project that requires harvesting, cleaning, and presenting insights from a large data set.
In this course we will examine the early peopling of South America, the collector strategies of the coast, lowlands and highlands, and the origins of pottery production, food production and agricultural technologies. Some of the objectives of the course are to explain the rise of ceremonial centers such as Chavin; the development of chiefdoms in the llanos of Venezuela, on Marajo Island at the mouth of the Amazon River, and the northern Andes and lowlands such as San Agustin, Muisca, and Sinu, and the formation process of Andean states such as Moche, Chimu, Huari, Tiawanaku and the Inka.
BIO 399, Internship in Biology, allows Biology majors to perform internships related to their major at various community organizations. This controlled enrollment, pass/fail course may be taken for 1-3 credits at a time, with a maximum of 3 credits counting as upper-level Biology electives. To enroll in BIO 399, students must identify an appropriate internship and complete a contract with a faculty sponsor in Biology.
This course focuses on the application of quantitative sustainable design to engineering infrastructure and technologies. Quantitative sustainable design is a process of mechanistically linking design and operational decisions to sustainability indicators to inform decision- making. This process enables navigation of trade-offs across dimensions of sustainability (e.g., environmental, economic, social) so that design and operation can be informed by sustainability metrics.
This course is designed to provide a consistent framework of education and knowledge about Public Participation (PP) process design and execution. Participants will emerge from the course with a theoretical and practical information framework that will assist them in building and managing PP processes that better match the needs of the public goods problems they are addressing. This in turn will improve the quality and value of those outcomes, providing greater value to the public for their tax dollars.
An internship experience in chemistry instruction. Offered as pass/fail only. CHE 399 credit cannot be utilized as Electives or Major Field Options in B.A. and B.S Chemistry degrees. May be repeated to a maximum of 12 credits.
