Professor Vin Steponaitis
Course Description: This course is an introduction to quantitative methods that are particularly useful to archaeologists. It is not intended to be a substitute for an introductory course in basic inferential statistics. Rather, the emphasis is placed on quantitative pattern-recognition techniques such as exploratory data analysis (EDA), cluster analysis, principal components analysis, and correspondence analysis. Topics in archaeological sampling, seriation, and spatial analysis will also be covered. During the semester, students will use two software packages – MYSTAT and TFQA – to analyze both real and constructed datasets.
Course Objectives: Students who take this course will gain a working knowledge of how to analyze archaeological data using the methods enumerated above.
Course Structure: There will be two lectures per week (Tu, Th 2:00-3:15, via Zoom). Each topic will be covered in one or more lectures, after which I will assign a take-home exercise, typically be due in a week. I reserve the right to make minor adjustments to the course schedule and readings over the course of the semester, but the basic structure of the course will remain the same. Note that it is perfectly OK to collaborate on lab assignments, so long as the write-up is your own work.
Course Requirements: Besides attending class and doing the assigned readings, you are expected to spend considerable time on weekly take-home exercises (75%). There will also be a final exam (25%).
Books and Software: I have ordered two books that are available at Student Stores: William Cleveland’s The Elements of Graphing Data and M. J. Baxter’s Exploratory Multivariate Analysis in Archaeology. Stephen Shennan’s Quantifying Archaeology is available online through the UNC Library. All the necessary software is available free of charge.
Course Web Site: This web site contains not only all the information in the course syllabus, but also "downloadable" versions of all the exercises and associated datasets.
Exercise 1. Introduction to MYSTAT
Honor Code: Students are expected to adhere to UNC's Honor Code. Please note that you are encouraged to work together on exercises, to ask questions, and to refer to the readings as you are doing the analysis for each exercise. You may generate graphs, tables, and other illustrations jointly and share them freely within your working groups. However, the write-up of each exercise must be your own work. If you have any questions about this policy, please feel free to ask.
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UNC Community Standards and Guidelines: This fall semester, while we are in the midst of a global pandemic, all enrolled students are required to wear a mask covering your mouth and nose at all times in the classroom and when meeting in person. This requirement is to protect our educational community — your classmates and me — as we learn together. If you choose not to wear a mask, or wear it improperly, I will ask you to leave immediately, and I will submit a report to the Office of Student Conduct. At that point you will be disenrolled from this course for the protection of our educational community. An exemption to the mask wearing community standard will not typically be considered to be a reasonable accommodation. Individuals with a disability or health condition that prevents them from safely wearing a face mask must seek alternative accommodations through Accessibility Resources and Services (ars.unc.edu). For additional information, see Carolina Together (carolinatogether.unc.edu).