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Digital Humanities: Methods, Tools, Practices (PSAE) – Thematic Units

HOU > Digital Humanities: Methods, Tools, Practices (PSAE) > Digital Humanities: Methods, Tools, Practices (PSAE) – Thematic Units

PSAE50 Introduction to Digital Humanities: Theory and practice

Module Code: PSAE50

ECTS Credits: 10

Module Type: Compulsory

Semester: First (1st)

Language: Greek

Module Outline

Aim – Description of the module: The aim of the module is to provide students with a historical, theoretical and practical introduction to Digital Humanities (DH), through a general, critical discussion of digital technology and methods in the humanities, social sciences and arts. The module first examines the historical and theoretical development of DH from the first projects to the present day, as well as the epistemological issues related to its establishment. It then focuses on the materials, processing and presentation-publication of digital works and the workflows within their context. Some preliminary applications of tools in the field of data digitization are developed and their documentation is briefly presented, with an emphasis on metadata schemas, while digital platforms and digital infrastructures and their use are also introduced. The discussion also addresses the ethical issues raised in the context of DH, the need for project sustainability and good practices and the need for collaborative work and resource sharing.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • be critical of the role of digital technology in DH and in culture and society, in general,
  • be aware of the main workflows in digital projects,
  • digitise and document data on the basis of standards and good practices,
  • know how to use digital platforms and digital infrastructures,
  • be familiar with good practices for ensuring the sustainability of digital projects,
  • be aware of the ethical issues raised by digitalisation.

Subjects Covered: 

  • Digital Humanities: Historical overview and theoretical considerations
  • Workflow in DH projects: Data collection, processing, presentation
  • Interdisciplinarity and hermeneutics: Methods, tools, practices in DH

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE51 Collection and analysis of textual data

Module Code: PSAE51

ECTS Credits: 10

Module Type: Compulsory

Semester: First (1st)

Language: Greek

Module Outline

Aim – Description of the module: The aim of the module is to introduce students to the processes of collecting textual data and analysing them in order to extract information. The module addresses issues that concern the collection of (oral and written) data, corpus design principles, searching for resources, transcribing oral texts, digitisation, cleaning and documentation, as well as the maintenance of metadata. The creation of corpora is discussed in detail. In addition, students become familiar with tools and concepts of automatic text analysis such as frequency lists, concordances, lexical clusters, keywords etc. and practice analysis with the use of related programs for textual data in Greek (e.g. AntConc, Sketch Engine etc.). Techniques for textual data visualization with a variety of methods and tools are also presented, with the aim of understanding and interpreting the information obtained from the processing of large volumes of textual data.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • be familiar with the necessary procedures for the automatic analysis of text data,
  • use the most important applications involving textual data analysis,
  • analyse and interpret data from text corpora in Greek,
  • extract and evaluate information about spoken and written texts using digital tools,
  • assess the appropriateness of using digital tools for the analysis of oral and written texts.

Subjects Covered:

  • Digitisation, cleaning and documentation of text data
  • Text corpora and corpus linguistics
  • Visualisation techniques

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE62 New technologies in language education

Module Code: PSAE62

ECTS Credits: 10

Module Type: Elective

Semester: First (1st) & Third (3rd)

Language: Greek

Module Outline

Aim – Description of the module: In this module, students focus on the basic parameters of the thinking developed in recent years about the use of digital media in teaching. Emphasis is placed on teaching subjects related to language (ancient Greek, Modern Greek, second/foreign language, literature), as well as theoretical approaches to the extent that they concern broader issues of teaching in the humanities. Although the focus is on teaching in the first and, especially, the second level of general education, the module also deals with issues of teaching and education in other forms of education (informal, adult etc.) and other levels (post-secondary, higher education). Apart from discussing theoretical concerns and the issues raised by them, the module also aims at familiarizing students with digital tools and media for language education, fostering the related functional literacy, cultivating criteria for the selection and evaluation of digital learning resources and educational environments such as the development of criteria for the evaluation and assessment of digital learning resources (e.g. websites), the implementation of teaching plans using digital media and the development of critical reflection on the practices of consolidating digital literacy, both functional and critical, in teaching.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • select and use digital tools, resources and environments for education,
  • evaluate e-learning environments, digital tools for education and digital learning resources, by using appropriate criteria,
  • organise lesson plans by using digital media,
  • explore and apply current pedagogical trends and methods and teaching practices with regard to the use of digital media and technologies in education,
  • identify the dimensions of digital literacy, both functional and critical, in teaching examples and teaching applications, critique them and revise them accordingly.

Subjects Covered: 

  • Functional and critical digital literacy in language education
  • Learning objects and resources for language and literature teaching
  • Literacy practices in language and literature teaching

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE63 Introduction to programming for non-programmers

Module Code: PSAE63

ECTS Credits: 10

Module Type: Elective

Semester: First (1st) & Third (3rd)

Language: Greek

Module Outline

Aim – Description of the module: The module aims at introducing programming in Python to students who are not familiar with the basic concepts of computational thinking and programming, so that they can process data in their digital projects in DH. The module does not assume any prior knowledge of programming and both introduces basic concepts of algorithmic thinking and training in Python at a basic level that enables a) the use of tools based on Python libraries, b) the creation of basic Python programs and c) acquaintance with the most important Python libraries used in DH, such as spacy. Python can be used in a number of fields, such as web development, machine learning and artificial intelligence applications, games development, data visualization, mass data analysis etc.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • have an understanding of basic computing concepts,
  • be able to install Python and use the command line and IDLE (Integrated Development Environment),
  • know and understand basic Python data types,
  • to write code for simple applications,
  • use on a basic level some programming libraries important for DH.

Subjects Covered: 

  • Algorithmic thinking
  • Data structures and programming in Python
  • Reading, processing and storing data, libraries and functions
  • Classification and search algorithms

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE52 Digital resources and Big Data

Module Code: PSAE52

ECTS Credits: 10

Module Type: Compulsory

Semester: Second (2nd)

Language: Greek

Module Outline

Aim – Description of the module: The aim of the module is to introduce students to the processes of collecting, analysing and presenting data in databases, in order to highlight the important information found in them. The module addresses issues of information organization, data collection and database design for use in DH projects, with particular reference to Big Data. In particular, the module presents the general principles and applications of databases for the collection and exploitation of unimodal and multimodal digital data. It introduces the Entity Relational Model and the Relational Model, as well as web databases and mySQL. Finally, the Semantic Web and RDF and XML languages are presented.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • know the procedures necessary to create a database,
  • organise information and adequately design databases to manage unimodal and multimodal data/material,
  • be familiar with relational databases and be able to use mySQL environments,
  • understand the importance of databases for storing, managing and retrieving information related to DH subject areas,
  • extract and evaluate information from a variety of databases,
  • assess the appropriateness of using databases in supporting a DH project.

Subjects Covered:

  • Data organisation and digital projects
  • Typology and management of digital resources
  • Platforms for publishing digital projects

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE53 Creation and processing of multimedia resources

Module Code: PSAE53

ECTS Credits: 10

Module Type: Compulsory

Semester: Second (2nd)

Language: Greek

Module Outline

Aim – Description of the laboratory module: The aim of the Lab module is to introduce students to the basic concepts of creating and managing digital multimedia resources, i.e. image, audio, video, animation, simulations, interactive presentations etc. as building blocks of a DH project. The module focuses in particular on the use of multimedia data processing software in combination with ways to process, store, retrieve and present data. Web-based repositories of multimedia data are also presented, along with a variety of web-based tools for creating multimedia presentations, especially for mobile devices.

Learning Outcomes:

Upon successful completion of this laboratory module, students will be able to:

  • identify and describe multimedia data and select the appropriate ones for DH projects,
  • manage, digitise, store, retrieve, recall, reconstruct, multimedia data,
  • use complex digital tools for managing images, audio, video, animation and web platforms to create digital simulations or presentations,
  • be familiar with the various sources of multimedia data and make use of current digital repositories of multimedia resources,
  • synthesise multimedia data for online use that can be used in DH projects.

Subjects Covered:

  • Methods and tools for processing multimedia resources
  • Multimedia applications
  • Digital repositories

Evaluation: Completion of written assignments during the academic semester which constitute a 50 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 50 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this Laboratory module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE54 Digital tools in language processing

Module Code: PSAE54

ECTS Credits: 10

Module Type: Compulsory

Semester: Second (2nd)

Language: Greek

Module Outline

Aim – Description of the laboratory module: This Lab module discusses new digital tools for the computational processing and analysis of linguistic data, including tokenization, lemmatization, part-of-speech recognition, morphosyntactic analysis, topic identification, text categorization, automatic summarization, statistical analysis of stylometric features, text processing applications, creation of electronic dictionaries, etc. For this purpose, the first part of the module introduces natural language processing (basic concepts, levels of language analysis, problems) and analyses issues of morphological, syntactic and semantic analysis, for which the main applications and related computational tools are presented. In the second part of the module, specific issues of language processing through digital tools such as naming entity recognition and extraction, sentiment and attitude analysis, automatic translation/interpretation, electronic lexicography, etc. are developed and the relevant tools and their theoretical and practical implications are discussed.

Learning Outcomes:

Upon successful completion of this laboratory module, students will be able to:

  • to identify the levels of language analysis and the relevance of computer language processing for each of them,
  • recognise and understand the feasibility and use of computer language processing tools,
  • evaluate language processing methods and tools in relation to specific problems,
  • plan the use of appropriate digital tools to solve problems,
  • place language processing issues in an appropriate theoretical context.

Subjects Covered:

  • Natural language processing
  • Morphological, syntactic and semantic analysis of language
  • Computational applications to language

Evaluation: Completion of written assignments during the academic semester which constitute a 50 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 50 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this Laboratory module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE60 Digital management of cultural heritage

Module Code: PSAE60

ECTS Credits: 10

Module Type: Compulsory

Semester: Third (3rd)

Language: Greek

Module Outline

Aim – Description of the module: The module addresses the stakes of digital preservation of tangible and intangible cultural heritage and its accessibility. After an introduction to the concept of culture and cultural heritage, students are introduced to the cycle of integrated management of cultural content, including digitisation and documentation, storage and management, interconnection and sharing, and promotion and reuse. Using examples from archives, libraries, galleries, museums and archaeological sites, as well as oral tradition, social practices and performing arts and with reference to digitisation and documentation practices (DH50), students are introduced to the management and programming of data capture, collection and interconnection, virtual environments and virtual and augmented reality, with emphasis on user interaction and personalised access. Students are familiarised with the creation of repositories and the use of existing ones, with tools and methods for project implementation and management, as well as good practices for their wide dissemination, promotion and preservation.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • digitise cultural content based on its specificity (e.g. scanning, 3D scanning, audio recording, video recording etc.),
  • curate and document cultural content resources,
  • organise collections on the basis of accessibility, interconnection of resources, interoperability of applications and the potential for further development of collections,
  • use applications that allow interactive and/or personalised access to cultural content,
  • be aware of good practices for the preservation of digital cultural heritage.

Subjects Covered:

  • Virtual environments and augmented reality
  • Documentation and sustainability of digital projects
  • Presentation and publication of digital projects and usage scenarios

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE61 Digital texts: Processing, editing and publishing

Module Code: PSAE61

ECTS Credits: 10

Module Type: Compulsory

Semester: Third (3rd)

Language: Greek

Module Outline

Aim – Description of the module: In this module students learn about the process of digitization of printed text and the processing of the digitized resources, from the initial stage of OCR to the final stage of electronic/web publication, as well as the processing of text that has been entirely produced electronically. In the context of the module, students have practice on the principles of TEI (Text Encoding Initiative), acquire knowledge about XML that is directly related to TEI encoding, know the importance and function of a schema in the electronic processing of text, the functional structure of text encoding and documentation (e.g. hierarchy of structural information, metadata hierarchy), tagging, and curation (checking, cleaning, reassessing the tagging system) of digital texts. The module also includes elements of digital literary publishing. The module assumes basic knowledge, concepts and terms that students get acquainted with in the context of the DH51 module.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • convert a printed text to digital format and process it with an OCR reader,
  • handle basic rules of the XML language for the electronic encoding of text,
  • document text with metadata, after chosing the appropriate schema,
  • organise the annotation information of text into hierarchies,
  • know and use the TEI (Text Encoding Initiative).

Subjects Covered: 

  • Digitisation, editing, publishing of texts
  • Principles of text annotation with TEI (Text Encoding Initiative)
  • Documentation, uses, sustainability of digital text

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAE64 Emerging web technologies and digital games

Module Code: PSAE64

ECTS Credits: 10

Module Type: Elective

Semester: Third (3rd)

Language: Greek

Module Outline

Aim – Description of the module: The aim of the module is to introduce students to the basic concepts of digital storytelling and digital games. The theoretical approach of Digital Storytelling (DST), Game-Based Learning (GBL) and Gamification, on the one hand, and their practical application in DH, on the other, are examined. In the context of this module, the characteristics of DST and digital games will be presented, along with their pedagogical benefits for the development of social and linguistic competences, as well as their place as educational tools in DH. Tools and platforms suitable for the design and development of digital narratives and games will be presented and students will become familiar with their use. Finally, the need for instructional design in integrating and using these tools in a variety of DH subjects will be discussed.

Learning Outcomes:

Upon successful completion of this module, students will be able to:

  • evaluate and use Digital Games in DH,
  • apply narrative techniques in the design of complex interactive DH projects,
  • use digital tools and educational platforms to create digital games to develop social and linguistic communication skills,
  • use digital tools appropriate for developing digital narratives that can be used in DH projects (e.g. advertising, museums etc.),
  • design pedagogical scenarios based on Digital Storytelling and Gamification.

Subjects Covered:

  • Virtual and augmented reality
  • Use of gaming in digital activities
  • Learning analytics and web technology scenarios

Evaluation: Completion of written assignments during the academic semester which constitute a 40 percent of each student’s grade, if a pass is obtained in the final or repetitive examination. Final exam grades constitute a 60 percent of the students’ final course grade.

Prerequisites: There are no prerequisites for this module.

Teaching Method: Distance learning using the HOU’s E-Learning Platform and Group Counselling Meetings.

 

PSAEDE Postgraduate Diploma Thesis

Module Code: PSAEDE

ECTS Credits: 30

Module Type: Compulsory

Semester: Fourth (4th)

Language: Greek

Module Outline

Aim – Description of the module: The presentation of the Postgraduate Diploma Thesis requires the completion of nine modules. The subject of the thesis should be directly related to the topics of the programme and may include the creation of methodologies, applications and specific digital projects. The PDT on DH should be 17,000 to 20,000 words in length.

The General Regulations for Postgraduate Diploma Theses in a Master’s degree with semester-long thesis are available at: General Regulation for the Preparation of Master’s Theses in postgraduate programmes with a six-month duration.

For more information regarding the Specifications – Useful Material for writing Master’s Theses and uploading a Thesis at the H.O.U. Repository, you can go to the Digital Training Area http://courses.eap.gr and especially to the Program of Studies section.

Learning Outcomes:

After the end of the dissertation the students will be able to:

  • Design and conduct, based on specific theoretical models and specific methodologies, original research and/or projects in the areas covered by the MSc.
  • Make synthetic and applied use of the knowledge gained from the courses of the MSc.
  • Carry out bibliographic and/or archival research and to identify, select, evaluate and use a variety of printed and electronic sources in his/her work.
  • Know, adopt and strictly observe the rules governing scientific and academic ethics.
  • Establish and follow a workable timetable for the development of a thesis/project.
  • Have acquired skills in the production of scientific discourse.
  • Have acquired skills in oral presentation his/her work.

Prerequisites: The presentation of the Postgraduate Diploma Thesis takes place after the successful completion of the Programme modules.

 

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