Web Intelligence
2023/2024
Content, progress and pedagogy of the module
Learning objectives
Knowledge
The student must acquire knowledge and skills in web intelligence techniques, for example:
- applications of web intelligence techniques
- web agents and web services
- web information retrieval
- web navigation support
- recommender systems
- intelligence for social web
- knowledge representation
- user modeling, adaptation and personalization
Skills
- demonstrate knowledge of web intelligence methods and techniques
- be able to select relevant concepts and techniques for a given problem within web systems
- be able to use correct notation and terminology within web intelligence
Competences
- be able to apply web intelligence methods and techniques including in the design and implementation of web systems
Type of instruction
The teaching is organized in accordance with the general teaching methods for the education, cf. section 17.
Extent and expected workload
The student is expected to spend 30 hours per ECTS, which for this activity means 150 hours.
Exam
Exams
| Name of exam | Web Intelligence |
| Type of exam | Written or oral exam |
| ECTS | 5 |
| Assessment | 7-point grading scale |
| Type of grading | Internal examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Additional information
Contact: Study Board for Computer Science via cs-sn@cs.aau.dk or 9940 8854
Facts about the module
| Danish title | Web Intelligence |
| Module code | DSNSWCK112 |
| Module type | Course |
| Duration | 1 semester |
| Semester | Autumn
|
| ECTS | 5 |
| Language of instruction | English |
| Empty-place Scheme | Yes |
| Location of the lecture | Campus Copenhagen |
| Responsible for the module |
Organisation
| Education owner | Master of Science (MSc) in Engineering (Software) |
| Study Board | Study Board of Computer Science |
| Department | Department of Computer Science |
| Faculty | The Technical Faculty of IT and Design |
