Course - Web Mining - DT8116
DT8116 - Web Mining
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral examination | 100/100 |
Course content
The course is given annually, next time autumn 2023. Vital challenges to be covered include: similarity search, streaming data, social network analysis, web usage mining, and recommendation systems.
Learning outcome
Knowledge: Introduction to problems, principles, mechanisms, and techniques connected to mining large datasets. Skills: Similarity search, mining streaming data, social network analysis, synopses for massive data, web usage mining, and recommendation systems. Competence: Mining massive datasets.
Learning methods and activities
Joint colloquium and self study. If the course is taken by a high number of students, the oral examination may be replaced by a written examination.
Recommended previous knowledge
Algorithms, database systems, and data mining.
Course materials
To be given at start of the semester.
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Trondheim
- Computer and Information Science
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100
-
Room Building Number of candidates - Spring ORD Oral examination 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"