Undergraduate Programme and Module Handbook 2022-2023 (archived)
Module COMP3517: COMPUTATIONAL MODELLING IN THE HUMANITIES AND SOCIAL SCIENCES
Department: Computer Science
COMP3517: COMPUTATIONAL MODELLING IN THE HUMANITIES AND SOCIAL SCIENCES
| Type | Open | Level | 3 | Credits | 10 | Availability | Available in 2022/23 | Module Cap | None. | Location | Durham |
|---|
Prerequisites
- (COMP2271 Data Science OR COMP2231 Software Methodologies) AND COMP2261 Artificial Intelligence
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To enable students to understand and critically evaluate the application of computational modelling to problems in the humanities and social sciences.
- To introduce students to algorithms and approaches relevant to the modelling of humanities and social science data.
Content
- Computational models of text and language
- Text and data mining
- Critical evaluation of computational models
Learning Outcomes
Subject-specific Knowledge:
- On completion of the module, students will be able to demonstrate:
- an understanding of how computational modelling can be applied to humanities and social science research
- an understanding of computational approaches to modelling text
- an understanding of data mining techniques.
Subject-specific Skills:
- On completion of the module, students will be able to demonstrate:
- an ability to apply computational modelling to humanities and social science data
- an ability to critically evaluate computational modelling approaches.
Key Skills:
- On completion of the module, students will be able to demonstrate:
- an ability to think critically
- an ability to undertake general problem solving.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures introduce the principles and techniques covered in the module, and examples of their application to practical cases
- Formative and summative assessments assess the understanding of core concepts and the application of methods and techniques.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| lectures | 20 | 2 per week | 1 hour | 20 | |
| preparation and reading | 80 | ||||
| total | 100 |
Summative Assessment
| Component: Coursework | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Summative Assignment | 100% | No | |
Formative Assessment:
Example formative exercises are given during the course.
â– Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University