Artificial Intelligence and Literature
English Language and Literature
Faculty of Arts and Scıences
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Artificial Intelligence and Literature | IDE395 | Elective | Bachelor's degree | 3 | Fall | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Murat KADİROĞLU
Research Assistant Elzem AKSU
Learning Outcomes of the Course Unit
1) Öğrenciler yapay zeka ve ilgili kavramlarına, edebi analiz ve yaratıcı yazmanın unsurlarına daha aşina olacaktır.
2) Students will engage in careful reading and critical analysis of AI and human productions in poetry, fiction and nonfiction. Thus, they will deepen their understanding of the ways AI and artists use language to communicate their readers/audience.
3) Students will be more familiar with how to use language to communicate their readers through AI.
4) Students will improve their writing skills and learn new ways of writing using AI, which will help them achieve success in their academic and personal life.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | High | High | High | High | High | High | High | |
| 2 | High | High | High | High | High | High | High | |
| 3 | High | High | High | High | High | High | High | |
| 4 | High | High | High | High | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
-
Course Contents
Artificial Intelligence, literature, literary analysis, creative writing, translation.
Weekly Schedule
1) Introduction to Artificial Intelligence2) A Brief Look at Key Concepts Machine Learning, Natural Language Processing, Prompt Engineering, Big Data, Deep Learning, Artificial Neural Networks, Text Mining; Distant Reading; Sentiment, Topic and Style Analysis etc.
3) Yapay Zeka ve Etik
4) Artificial Intelligence Tools, Software Applications and Platforms
5) Artificial Intelligence and Digital Humanities
6) Artificial Intelligence and Authorship Limitations and Possibilities Assisting Human Creations and Assisting AI Creations Plagiarism The Future of Publishing
7) Artificial Intelligence and Literary Studies: How to Do a Literary Research?
8) Midterm Projects
9) Workshop: Artificial Intelligence and Literary Studies
10) Artificial Intelligence, Creativity and Critical Reading
11) Workshop 1: Artificial Intelligence and Creative Writing in Fiction
12) Workshop 2: Artificial Intelligence and Creative Writing in Nonfiction
13) Artificial Intelligence in Literature and Film Adaptations
14) Artificial Intelligence and Translation
15) Final Student Projects
Recommended or Required Reading
1- The Cambridge Handbook of Artificial Intelligence edited by Keith Frankish and William M. Ramsey.
2- The Routledge Handbook of Literary Translation by Kelly Washbourne
3- Computational Creativity Workshop – Proceedings. University of London
4- The Norton Anthology of Theory and Criticism edited by Vincent B. Leitch.
5- The Policeman's Beard is Half Constructed: Computer Prose and Poetry by Racter.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Modelling
7) Group Study
8) Brain Storming
9) Lab / Workshop
10) Self Study
11) Problem Solving
12) Project Based Learning
Assessment Methods and Criteria
Contribution of Other(s) to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
English
Work Placement(s)
Not Required