Current D-Term 2022 Offerings
Check back as more courses are being added.
DECM 138 Loving Literature: Fiction, Fan Fiction, and Fans of Fiction
This course explores the hows and whys of literary affection: what do we mean when we say we "love" a book or writer? Why are authors like Jane Austen still beloved centuries after their deaths? We'll focus on a couple of historical examples of literary love, and students also will investigate their own affections as part of a final project on a writer or book of their choice.
DECM 141 Make it Stick: Using the Learning Sciences to Improve Memory
In this seminar, students will study findings from the learning sciences and apply them in exercises designed to enhance learning and memory. Students will use the results of these exercises to explore the success of various learning strategies and discuss how they might be applied in their other Lawrence courses.
DECM 144 The Science of Super Heroes
A seminar course that examines the good, the bad, and the indifferent approaches to science in popular super hero films (particularly the Marvel and DC Universes). No science background or prerequisites required.
DECM 148 Introduction to Tropes and Stereotypes in Theatre Film and Media: The Good, the Bad, and the Ugly
Tropes and character types have come down through the advent of western theatre and media to the present day. These characters have represented, and often embarrassed, those they portray from the earliest theatrical performances through international blockbuster films worldwide. Exploring their use and evolution of the good, the bad, and the ugly of various stereotypes will enlighten their perpetuation or suppression in future media.
DECM 224 Introduction to R and Excel for Data Analysis
Careful data analysis has become central to decision-making in areas from politics to sports to medicine. This introduction to collecting, cleaning, and manipulating messy, real-world data with R and Excel will emphasize reproducible, documented analysis. The course will also introduce graphing and programming concepts that pertain to data analysis. Familiarity with basic statistics is a plus but not required.