Special topics are experimental courses announced as offered. Variable credit.

Special topics are experimental courses offered per semester.

This course introduces statistical methods of extracting meaning from data, and basic inferential statistics. Topics covered include data and data integrity, exploratory data analysis, data visualization, numeric summary measures, the normal distribution, sampling distributions, confidence intervals, and hypothesis testing. The emphasis of the course is on statistical thinking rather than computation. Statistical software is used.

This course introduces students to the fundamentals of static web design using xhtml, style sheets, and web graphics. After completing this course students will be able to comprehend appropriate application of manual code, gather and organize web content, construct their own xhtml, analyze markup language, critique existing site designs, and use CSS, frames, tables, slices, and FTP to solve spatial, visual, and data problems. Students will utilize Adobe Dreamweaver, or other web development software, and will learn the basic techniques, tools, and processes used to construct a well-designed and effective web site while keeping the site's users in mind.

This course offers exposure to and experience with electronic and traditional resources for information generation. Student assignments include fact-finding assignments and culminate in an extended research project of the student’s choice. Students use problem-solving strategies, assess project requirements, collect data, report periodically on their progress, and formally present their results. A variety of research methodologies are introduced, including accessing digital databases, interviewing skills, developing and using questionnaires, and review and use of literature.