Willkommen in der Mainzer Buchwissenschaft

Computationelle Methoden und Theorien A

Dozent:innen: Dr. Wei Ding
Kurzname: 05.610.23_060
Kurs-Nr.: 05.610.23_060
Kurstyp: Seminar

Voraussetzungen / Organisatorisches

Der Kurs findet digital statt.

Digitale Lehre

Course participants will be emailed an invitation link before the start of the course.
"Frequently asked questions about Microsoft Teams":
https://www.zdv.uni-mainz.de/haeufige-fragen-zu-microsoft-teams-an-der-jgu/

Empfohlene Literatur

Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text. 2015 https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/

Text analysis via Voyant tools (http://voyant-tools.org)

Montfort, Nick. Exploratory programming for the arts and humanities. MIT Press, 2021.

Sweigart, Al. Automate the boring stuff with Python: practical programming for total beginners. No Starch Press, 2019.

Inhalt

This course offers an introduction to text analysis tools applied in Digital Humanities research and Python programming for data analysis and visualization.

Through a series of exercises and discussions, students will gain a solid understanding of the fundamental concepts and differences between unstructured, semi-structured, and structured data. They will develop familiarity with a variety of data formats and digital tools to create, organize, compare, and explore data. Furthermore, course participants will learn how to analyze and visualize datasets using Python programming language. By the end of the course, students will be equipped with the skills to apply these tools to their own projects.

This course is suitable for students interested in Digital Humanities, data analysis, and visualization.

Zusätzliche Informationen

Seminar findet auf Englisch statt.

Termine

Datum (Wochentag) Zeit Ort
22.04.2024 (Montag) 12:15 - 15:45 findet digital statt
29.04.2024 (Montag) 12:15 - 15:45 findet digital statt
06.05.2024 (Montag) 12:15 - 15:45 findet digital statt
13.05.2024 (Montag) 12:15 - 15:45 findet digital statt
27.05.2024 (Montag) 12:15 - 15:45 findet digital statt
03.06.2024 (Montag) 12:15 - 15:45 findet digital statt
Veröffentlicht am | Veröffentlicht in Allgemein

Ilon Wikland erhält Goldenen Pinsel 2024

Computationelle Methoden und Theorien A

Dozent:innen: Dr. Wei Ding
Kurzname: 05.610.23_060
Kurs-Nr.: 05.610.23_060
Kurstyp: Seminar

Voraussetzungen / Organisatorisches

Der Kurs findet digital statt.

Digitale Lehre

Course participants will be emailed an invitation link before the start of the course.
"Frequently asked questions about Microsoft Teams":
https://www.zdv.uni-mainz.de/haeufige-fragen-zu-microsoft-teams-an-der-jgu/

Empfohlene Literatur

Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text. 2015 https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/

Text analysis via Voyant tools (http://voyant-tools.org)

Montfort, Nick. Exploratory programming for the arts and humanities. MIT Press, 2021.

Sweigart, Al. Automate the boring stuff with Python: practical programming for total beginners. No Starch Press, 2019.

Inhalt

This course offers an introduction to text analysis tools applied in Digital Humanities research and Python programming for data analysis and visualization.

Through a series of exercises and discussions, students will gain a solid understanding of the fundamental concepts and differences between unstructured, semi-structured, and structured data. They will develop familiarity with a variety of data formats and digital tools to create, organize, compare, and explore data. Furthermore, course participants will learn how to analyze and visualize datasets using Python programming language. By the end of the course, students will be equipped with the skills to apply these tools to their own projects.

This course is suitable for students interested in Digital Humanities, data analysis, and visualization.

Zusätzliche Informationen

Seminar findet auf Englisch statt.

Termine

Datum (Wochentag) Zeit Ort
22.04.2024 (Montag) 12:15 - 15:45 findet digital statt
29.04.2024 (Montag) 12:15 - 15:45 findet digital statt
06.05.2024 (Montag) 12:15 - 15:45 findet digital statt
13.05.2024 (Montag) 12:15 - 15:45 findet digital statt
27.05.2024 (Montag) 12:15 - 15:45 findet digital statt
03.06.2024 (Montag) 12:15 - 15:45 findet digital statt

Wichtig für Bewerber:innen WS 2024/25 im KJL-Master

Computationelle Methoden und Theorien A

Dozent:innen: Dr. Wei Ding
Kurzname: 05.610.23_060
Kurs-Nr.: 05.610.23_060
Kurstyp: Seminar

Voraussetzungen / Organisatorisches

Der Kurs findet digital statt.

Digitale Lehre

Course participants will be emailed an invitation link before the start of the course.
"Frequently asked questions about Microsoft Teams":
https://www.zdv.uni-mainz.de/haeufige-fragen-zu-microsoft-teams-an-der-jgu/

Empfohlene Literatur

Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text. 2015 https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/

Text analysis via Voyant tools (http://voyant-tools.org)

Montfort, Nick. Exploratory programming for the arts and humanities. MIT Press, 2021.

Sweigart, Al. Automate the boring stuff with Python: practical programming for total beginners. No Starch Press, 2019.

Inhalt

This course offers an introduction to text analysis tools applied in Digital Humanities research and Python programming for data analysis and visualization.

Through a series of exercises and discussions, students will gain a solid understanding of the fundamental concepts and differences between unstructured, semi-structured, and structured data. They will develop familiarity with a variety of data formats and digital tools to create, organize, compare, and explore data. Furthermore, course participants will learn how to analyze and visualize datasets using Python programming language. By the end of the course, students will be equipped with the skills to apply these tools to their own projects.

This course is suitable for students interested in Digital Humanities, data analysis, and visualization.

Zusätzliche Informationen

Seminar findet auf Englisch statt.

Termine

Datum (Wochentag) Zeit Ort
22.04.2024 (Montag) 12:15 - 15:45 findet digital statt
29.04.2024 (Montag) 12:15 - 15:45 findet digital statt
06.05.2024 (Montag) 12:15 - 15:45 findet digital statt
13.05.2024 (Montag) 12:15 - 15:45 findet digital statt
27.05.2024 (Montag) 12:15 - 15:45 findet digital statt
03.06.2024 (Montag) 12:15 - 15:45 findet digital statt
Veröffentlicht am | Veröffentlicht in Allgemein

Es gibt noch freie Plätze

Computationelle Methoden und Theorien A

Dozent:innen: Dr. Wei Ding
Kurzname: 05.610.23_060
Kurs-Nr.: 05.610.23_060
Kurstyp: Seminar

Voraussetzungen / Organisatorisches

Der Kurs findet digital statt.

Digitale Lehre

Course participants will be emailed an invitation link before the start of the course.
"Frequently asked questions about Microsoft Teams":
https://www.zdv.uni-mainz.de/haeufige-fragen-zu-microsoft-teams-an-der-jgu/

Empfohlene Literatur

Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text. 2015 https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/

Text analysis via Voyant tools (http://voyant-tools.org)

Montfort, Nick. Exploratory programming for the arts and humanities. MIT Press, 2021.

Sweigart, Al. Automate the boring stuff with Python: practical programming for total beginners. No Starch Press, 2019.

Inhalt

This course offers an introduction to text analysis tools applied in Digital Humanities research and Python programming for data analysis and visualization.

Through a series of exercises and discussions, students will gain a solid understanding of the fundamental concepts and differences between unstructured, semi-structured, and structured data. They will develop familiarity with a variety of data formats and digital tools to create, organize, compare, and explore data. Furthermore, course participants will learn how to analyze and visualize datasets using Python programming language. By the end of the course, students will be equipped with the skills to apply these tools to their own projects.

This course is suitable for students interested in Digital Humanities, data analysis, and visualization.

Zusätzliche Informationen

Seminar findet auf Englisch statt.

Termine

Datum (Wochentag) Zeit Ort
22.04.2024 (Montag) 12:15 - 15:45 findet digital statt
29.04.2024 (Montag) 12:15 - 15:45 findet digital statt
06.05.2024 (Montag) 12:15 - 15:45 findet digital statt
13.05.2024 (Montag) 12:15 - 15:45 findet digital statt
27.05.2024 (Montag) 12:15 - 15:45 findet digital statt
03.06.2024 (Montag) 12:15 - 15:45 findet digital statt
Veröffentlicht am | Veröffentlicht in Allgemein

Mainzer Kolloquium am Freitag, 26. April 2024

Computationelle Methoden und Theorien A

Dozent:innen: Dr. Wei Ding
Kurzname: 05.610.23_060
Kurs-Nr.: 05.610.23_060
Kurstyp: Seminar

Voraussetzungen / Organisatorisches

Der Kurs findet digital statt.

Digitale Lehre

Course participants will be emailed an invitation link before the start of the course.
"Frequently asked questions about Microsoft Teams":
https://www.zdv.uni-mainz.de/haeufige-fragen-zu-microsoft-teams-an-der-jgu/

Empfohlene Literatur

Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text. 2015 https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/

Text analysis via Voyant tools (http://voyant-tools.org)

Montfort, Nick. Exploratory programming for the arts and humanities. MIT Press, 2021.

Sweigart, Al. Automate the boring stuff with Python: practical programming for total beginners. No Starch Press, 2019.

Inhalt

This course offers an introduction to text analysis tools applied in Digital Humanities research and Python programming for data analysis and visualization.

Through a series of exercises and discussions, students will gain a solid understanding of the fundamental concepts and differences between unstructured, semi-structured, and structured data. They will develop familiarity with a variety of data formats and digital tools to create, organize, compare, and explore data. Furthermore, course participants will learn how to analyze and visualize datasets using Python programming language. By the end of the course, students will be equipped with the skills to apply these tools to their own projects.

This course is suitable for students interested in Digital Humanities, data analysis, and visualization.

Zusätzliche Informationen

Seminar findet auf Englisch statt.

Termine

Datum (Wochentag) Zeit Ort
22.04.2024 (Montag) 12:15 - 15:45 findet digital statt
29.04.2024 (Montag) 12:15 - 15:45 findet digital statt
06.05.2024 (Montag) 12:15 - 15:45 findet digital statt
13.05.2024 (Montag) 12:15 - 15:45 findet digital statt
27.05.2024 (Montag) 12:15 - 15:45 findet digital statt
03.06.2024 (Montag) 12:15 - 15:45 findet digital statt