Practicum

Internship or other pre-professional work experience in the field of plant and soil sciences. Requires prerequisite course work in plant biology, soil science, and at least two mid-level PLNTSOIL courses.

Modern Pol Thought

Reading of selected political theorists from 16th to 19th centuries: Machiavelli, Hobbes, Locke, Rousseau, Tocqueville, Marx, and Nietzsche. Emphasis on the nature of the political world and the forms of understanding and activity appropriate to it.

Ethical Iss In Pubhl

C. Everett Koop, former Surgeon General of the Unites States famously once said "Anything we can do to stop smoking is good." The course explores the meaning of this "anything" in public health practice. A guiding question will be "what are the ethical limits in protecting the public's health?" While we won't be solving all the ethical issues that confronts practitioners, we will raise questions about ethical public health practice.

History of Economic Thought

The purpose of this course is to develop critical thinking in the study of economic theories from pre-Classical to 21st century developments in economic thought. The perspective of the course is multi-disciplinary, in line with the objectives of the integrative educational experience. Students are required to do two writing assignments that integrate prior learning into the analysis of the economic theories covered in the course and to present these projects in both poster session and PowerPoint formats.

ST-Youth, Democracy & Ent Indu

The entertainment industries are inordinately focused on young people as they represent tremendous market force. How do the imperatives of this market-driven media culture correspond with principles of democracy? Topics to be considered include commercialism & youth identity, culture jamming, global youth protests, race/class inequities, generation debt, urban youth, strategies for organizing youth resistance - all with an eye towards visioning a media system truly guided by principle of democracy.

EducDataMining&LearnerAnalytic

The primary goal of this course is for students to be comfortable with exploring educational datasets and analyzing them, finding patterns in educational data, creating models that summarize and describe data, and creating predictive models, using a variety of techniques that span machine learning, data mining, and statistics. We will work with datasets that come from educational learning technologies, tutoring and assessment software, as well as other datasets that students might be interested in (e.g.
Subscribe to