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Curricular information is subject to change
This module will give students the skills and knowledge to explore collections of text and uncover new insights. Students will also learn the basics of using Python for text analysis.
Indicative Module Content:Text Analysis
Digital Humanities
Text Corpora
Python
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Laboratories | 12 |
Autonomous Student Learning | 100 |
Total | 124 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
Not yet recorded.
Name | Role |
---|---|
Marion Bartl | Lecturer / Co-Lecturer |
Rhys Jacka | Tutor |