TAR754 - ARCHIVAL SOURCES and THE COMPUTER II
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| ARCHIVAL SOURCES and THE COMPUTER II | TAR754 | 2nd Semester | 3 | 0 | 3 | 10 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Demonstration | |||||
| Instructor (s) | Dr. Ramazan Acun | |||||
| Course objective | The aim of this course is to teach software methods to process data in historical documents. | |||||
| Learning outcomes |
| |||||
| Course Content | Properties of historical data; historical data-historical document distinction; advanced model development; current software methods for historical data; Content Analysis; Social Network Analysis; text analysis; Data mining; Text Mining; Practice on a sample dataset. | |||||
| References | 1. Greenstein, D.I. (1994).A Historian's Guide to Computing. Oxford: Oxford University Pres. 2. Faroqhi, Suraiya.,(1999) Approaching Ottoman History. An introduction to the sources, Cambridge. 3. Harvey, C. and J. (1996)Press, Databases in historical research: theory, methods and applications. London. 4. Şimşek, A (Ed.) (2020). Tarih İçin Metodoloji, Ankara: Pegem Akademi. 5. Türkiye Kaynakçası (www.kaynakca.info) 6. Historical Network Research (https://historicalnetworkresearch.org) | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | An overview of the data sources |
| Week 2 | Advanced data modeling, text structuring |
| Week 3 | Content Analysis |
| Week 4 | Social Network Analysis |
| Week 5 | Social Network Analysis |
| Week 6 | Text Mining |
| Week 7 | Mid-term Exam |
| Week 8 | Analize |
| Week 9 | Visualization methods I |
| Week 10 | Visualization methods II |
| Week 11 | Visualization methods III |
| Week 12 | Interpretation |
| Week 13 | Report Writing |
| Week 14 | Presentation |
| Week 15 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 1 | 25 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 25 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 2 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 1 | 60 | 60 |
| Project | 0 | 0 | 0 |
| Homework assignment | 1 | 30 | 30 |
| Midterms (Study duration) | 2 | 20 | 40 |
| Final Exam (Study duration) | 1 | 44 | 44 |
| Total Workload | 33 | 163 | 300 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Advances historical knowledge with research and creative thinking. | X | ||||
| 2. Reaches novel results in understanding the interactions between history and other social science disciplines in analyzing and evaluating new and complex ideas, arguments and developments using expert knowledge. | X | ||||
| 3. Describes and critically evaluates the essential historical sources, their language and properties and analyse the data contatined in them using various scientific methods and techniques including computer programs at the level of expertise; for this purpose develops new models, methods and applications. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest