COURSE UNIT TITLE

: DIGITAL HUMANITIES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TAH 3123 DIGITAL HUMANITIES ELECTIVE 2 0 0 5

Offered By

History

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR YAKUP ÖZTÜRK

Offered to

History (Evening)
History

Course Objective

This course aims to bridge the gap between classical humanities methods and modern digital tools and methods by teaching students how digital technologies can be used in the humanities; to teach the applications of digital archives, data analysis, visualisation techniques and various digital tools in the humanities.

Learning Outcomes of the Course Unit

1   Learn how to enrich their humanities research by using digital tools and software and will have the ability to use these tools effectively.
2   Have a critical mindset about the methods and techniques used in digital humanities and will be able to analyse how to apply these techniques in their own research.
3   Gain competence in analysing large data sets and presenting these data in meaningful visual formats.
4   Gain an understanding of ethical issues and data security issues in digital research and the ability to act responsibly in this context.
5   Develop their own independent research projects by applying what they have learnt in digital humanities. This will enable students to put their theoretical knowledge into practice and generate digital solutions to real-world problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction and Foundations of Digital Humanities efinition and history of digital humanities Course objectives and overview
2 Digital Tools and Software Introduction of basic digital tools and software Working with digital archives and resources
3 Text Analysis Fundamentals of text mining and text analysis
4 Visualisation Techniques Data visualisation tools and methods Working with timelines, maps and infographics
5 Big Data and Databases The concept of big data and its applications in digital humanities Techniques for working with databases
6 Digital Ethnography and Social Media Analysis Analysing social media data Digital ethnography methods
7 Ses ve Görüntü Analizi Working with sound recordings and images Audio and video analysis tools
8 Ara Sınav
9 Digital Cultural Heritage and Archaeology Digital archaeology and cultural heritage projects
10 Digital Literature and Work Analysis Examples of digital literature Digital analysis of literary works
11 Digital History and Historical GIS Digital history methods and tools Historical geographic information systems (GIS)
12 Research Methods and Ethics Methods used in digital research Ethics and data security in digital studies
13 Project Development Process Research project design and planning
14 Project Development and Implementation Working on group projects
15 Project Presentations and Evaluation Presentation of student projects
16 Final Exam

Recomended or Required Reading

Burdick, A., Drucker, J., Lunenfeld, P., Presner, T., & Schnapp, J. (2012). Digital_Humanities. MIT Press.
Schreibman, S., Siemens, R., & Unsworth, J. (Eds.). (2004). A Companion to Digital Humanities. Blackwell Publishing.
Gold, M. K. (Ed.). (2012). Debates in the Digital Humanities. University of Minnesota Press.
Warwick, C., Terras, M., & Nyhan, J. (Eds.). (2012). Digital Humanities in Practice. Facet Publishing.
Staley, D. J. (2003). Using Computers in History. Routledge.
Jockers, M. L. (2014). Text Analysis with R for Students of Literature. Springer.
Weller, M. (2011). The Digital Scholar: How Technology is Transforming Scholarly Practice. Bloomsbury Academic.

Planned Learning Activities and Teaching Methods

Students are expected to use digital tools to conduct real-time analyses, ask questions and engage in discussions and practical workshops where they will work directly with digital tools and software. Students are encouraged to explore new research methods in digital humanities and apply these methods in their own research.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE (RESIT) VZ * 0.30 + ODV * 0.30 + FN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) VZ * 0.30 + ODV * 0.30 + BUT * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

LO 1-3: It will be evaluated with the questions to be asked in the midterm and final exams.
LO 1-5: It will be evaluated with the questions to be asked in the final exam.
LO 1-5: It will be evaluated by outputs of the project.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to 70% of the courses is compulsory.

Contact Details for the Lecturer(s)

Asst. Prof. Dr. Yakup ÖZTÜRK

E-mail: yakup.ozturk@deu.edu.tr
Tel : 0232 301 8735

Office Hours

Monday: 11.00-12.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 8 2 16
Case study 4 2 8
Practice (Reflection) 2 2 4
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Web Search and Library Research 4 3 12
Preparing assignments 1 20 20
Midterm 1 1,5 2
Final 1 1,5 2
TOTAL WORKLOAD (hours) 117

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.15
LO.25
LO.355
LO.45
LO.544

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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