Welcome to Time Series Modeling and Analytics (2021)

Description: The course will cover concepts, methods, algorithms and tools for time series management, including modeling, representation, mining, and analytics. First, the course will cover time series representation, e.g., sampling, approximation, symbolic representations such as piece-wise constant models, principal component analysis (PCA), and perceptually important points (PIP).  Second, the course will cover time series analytics, e.g., pattern discovery/mining, rule discovery, time series classification, motif discovery, and time series summarization.

Organizer: Professor Torben Bach Pedersen 

Lecturers: Professor Themis Palpanis

ECTS: 2.0

Time: September 15, 17, 22 & 29. All days from 10-1pm

Place: Aalborg University

Zip code: 

City: Aalborg

Number of seats: 20

Deadline: August 18

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.