Welcome to Deep Memory Technology for Modern Database Systems


Description: Managing memory efficiently is one of the core responsibilities of database systems. Memory management ranges from allocation schemes via replacement strategies to data structures to support higher-level database operators. While managing external (disk-based) memory has been the focus for many years, current developments in the context of memory hardware demand for a more fine-grained consideration of different types memory. The term “deep memory” therefore comprises a variety of different main memory techniques with different characteristics. Within the course, we will classify memory along different dimensions (performance, persistency, resilience, energy etc.) and discuss the impact on database architectures.


Organizer: Associate Professor Katja Hose, e-mail: mailto:khose@cs.aau.dk

Lecturers: Professor Wolfgang Lehner, TU Dresden, Germany

ECTS: 2

Time: 9-10 October 2018 (tentative)

Place: Aalborg University

Zip code: 9220

City: Aalborg Øst

Number of seats: 30

Deadline: 9 September 2018 (tentative)

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 5,000 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 three 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.

Welcome to Transfer Learning


Description: A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this assumption may not hold. For example, we sometimes have a classification task in one domain of interest, but we only have sufficient training data in another domain of interest, where the latter data may be in a different feature space or follow a different data distribution. In such cases, knowledge transfer, if done successfully, would greatly improve the performance of learning by avoiding much expensive data labeling efforts. In recent years, transfer learning has emerged as a new learning framework to address this problem. This course focuses on categorizing and reviewing the current progress on transfer learning for classification, regression and clustering problems. We discuss the relationship between transfer learning and other related machine learning techniques such as domain adaptation, multitask learning and sample selection bias, as well as co-variate shift. We also explore some potential future issues in transfer learning research.

 

Organizer: Associate Professor Bin Yang, e-mail: byang@cs.aau.dk

Lecturers: (TBC) Assistant Professor Sinno Jialin Pan, Nanyang Technological University

ECTS: 2

Time: Fall 2018

Place: Aalborg University

Zip code: 9220

City: Aalborg Øst

Number of seats: 30

Deadline: 20 April 2018

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 5,000 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 three 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.

Welcome to Language-based Security


Description: With the growing dependence on and use of IT in society, security continues to be a primary concern for both developers and users. In this course students will become acquainted with a number of foundational research issues in language-based security, including both state-of-the-art as well as more fundamental theories and concepts. The main focus of the course will be on secure information flow (and ways to achieve/guarantee secure information flow, e.g., through model checking, program analysis, and type  ystems), but may also cover topics such as declassification- and/or erasure-policies as well as other related topics.

Learning outcomes:

 Upon completion of this course the student will:

  • know and be able to correctly apply the relevant general terminology used within the security community
  • know the fundamental theories and structures within the topics covered in the course
  • be able to define and apply basic language-based tools and techniques to simple projects/programs
  • be able to find relevant and further study advanced literature within the language-based security field and apply it to their own research

Format: The specific format for the course session will be agreed upon with the students at the first session. Each course session will most likely last approximately half a day (4-5 hours) and, generally, be composed of a mix of lectures and discussions as well as additional course work, e.g., exercises, literature search, and/or student presentations.

In between course sessions, the students are expected to actively follow and research IT-security related news and be prepared to discuss current events within that community.

In order to pass the course, the student must participate actively in the discussions and make a short report + presentation on a topic chosen in collaboration with the course organiser(s).

Organizer: Associate Professor Rene Rydhof Hansen, e-mail: rrh@cs.aau.dk

Lecturers: Associate Professor Rydhof Hansen, Associate Professor Aslan Askarov, and possibly further guest lecturers

ECTS: 2

Time: Spring 2018

Place: Aalborg University

Zip code: 9220

City: Aalborg Øst

Number of seats: 12

Deadline: 31 Januar 2018

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 5,000 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 three 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.

Welcome to Blockchains and Databases


Description: Blockchains, also known as distributed ledgers, have become a key technology for managing distributed trust and transactions.Most famous is the virtual currency Bitcoin, which is based on blockchains. Several players have also uses blockchains to manage both physical and digital assets. Blockchains have both strengths and weaknesses, most notably performance, compared to other technologies for managing distributed data and transactions, e.g., database systems. This course will describe the key concepts, architectures, algorithms, and systems in the blockchain space and compare them with database technology.

Organizer: Professor Torben Bach Pedersen, e-mail: tbp@cs.aau.dk

Lecturers: IBM Fellow C. Mohan, IBM Research (TBC)

ECTS: 2

Time: 23-25 April 2018 (tentative)

Place: Aalborg University

Zip code: 9220

City: Aalborg Øst

Number of seats: 20

Deadline: 11 April 2018

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 5,000 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 three 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.  

Welcome to Querying, Exploring and Mining Geo-textual Data

Description: The course will cover advanced topics in the management of geo-textual data.
Massive amounts of geo-textual data with both geo-spatial and textual elements
are being generated at an unprecedented scale. Examples of such data include
geo-tagged micro-blog posts, photos with both tags and geo-locations at social
photo sharing websites, as well as points of interest (POIs) and check-ins in
location-based social networks. Such data is often associated with temporal
information. The course will cover the following topics: (1) querying static
geo-textual Data, (2) querying geo-textual data streams, (3) exploring
geo-textual data, (4) location extraction, (5) user mobility behavior modeling,
and (6) location recommendation and prediction

Organizer: Professor Christian S. Jensen, e-mail: csj@cs.aau.dk

Lecturers: Associate Professor Gao Cong, Nanyang Technological University

ECTS: 2

Time: October 4-5, 2018


Place: Aalborg University

Zip code: 9220

City: Aalborg Øst

Number of seats: 30

Deadline: August 4, 2018

 

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 5,000 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 three 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.

Welcome to The Elements of Interaction and Interactivity


Description:The course will be directed at PhD students engaging in research related to human computer interaction in any form. The course will cover:

  • The everyday reality of interaction and interactivity
  • Understanding interaction and interactivity
  • Basic elements and definitions of interaction
  • How to study interaction
  • Some new concepts: faceless interaction, complex interaction, interactivity clutter, character of things, etc.
  • Measuring interactivity
  • The future of interaction

Format: Lectures combined with group activities.

Prerequisites: The course is specifically addressing PhD students in the application of IT, information systems, and related subjects. PhD students working in other subjects are welcome, but should know that all the example material is drawn from IT studies.

Learning objectives: A fundamental understanding of interaction and interactivity and an ability to analyze how interactive devices and systems interact and influence their users and environment.

Organizer: Professor Peter Axel Nielsen, e-mail: pan@cs.aau.dk and Professor Erik Stolterman, e-mail: estolter@indiana.edu

Lecturers: Professor Erik Stolterman

ECTS: 2

Time: 15-16 March 2018, starting 9am on the 15th and ending 4:30 pm on the 16th

Place: Aalborg University, Building Cassiopeia, Selma Lagerlöfs Vej 300

Zip code: 9220

City: Aalborg Øst

Number of seats: 20

Deadline: 15 February 2018

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 5,000 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 three 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.