This seminar introduces students to the Python programming language and the basic principles of computational humanities research. Students will learn how to implement a variety of data-scientific methods ranging from statistical analysis to word embeddings. Through practice and provided examples, students will also learn how to preprocess texts and datasets, interpret computational evidence, and effectively incorporate data-driven analysis into humanistic arguments. No prior experience with coding is required or expected; advanced assignments will be available to those with prior experience in Python or other coding languages.

Prerequisites: Upper-division standing.

1

Units

Pass no pass

Grading

1, 2, 3

Passtime

Upper division only

Level Limit

Letters and science

College
LAMAR A
No info found

Lecture

ILP 4101
F
09:00 AM - 09:50 AM
0 / 20
INT 186AK
0 / 20 Closed
Humanities from Classroom to Career
Madeline Sorapure 4.6
M
11:00 AM - 11:50 AM
100.0% A
INT 186AI
0 / 20 Enrolled
Intergenerational Communication in the Workplace
Karen Myers 4.4
T
09:00 AM - 10:50 AM
100.0% A
INT 186AY
0 / 20 Enrolled
Transfer Exploration Seminars
Amy Jamieson 3.3
W
08:00 AM - 09:50 AM
98.0% A
INT 186AC
0 / 20 Enrolled
Transfer Exploration Seminars
Peter Huk 4.5
W
12:00 PM - 12:50 PM
95.3% A
INT 186AI
0 / 20 Enrolled
Intergenerational Communication in the Workplace
Karen Myers 4.4
T
09:00 AM - 10:50 AM
100.0% A
INT 186AY
0 / 20 Enrolled
Transfer Exploration Seminars
Amy Jamieson 3.3
W
08:00 AM - 09:50 AM
98.0% A
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