DKE-Seminar and Project
All information on this website is only preliminary due to the current virus outbreak (COVID-19). Therefore, dates may shift and course information and execution might change completely!
On this page you can find information about the scientific seminar and project/practical course "Data and Knowledge Engineering", which takes place during the summer term 2020.
During the course this page will be updated continuously.
Content and Topics
This course deals with selected topics and subdomains of the research area "Data and Knowledge Engineering". Students acquire insight in methods of user behavior analysis and modeling, knowledge discovery and visualization, data mining, adaptive retrieval systems etc. Below some of the topics for the summer term 2020 are listed:
Topics |
Image Registration using Deep Learning |
Super-resolution of 3D MR Volumes |
OBELISK for MR Image Reconstruction |
Indoor-outdoor image classification |
Traditional image registration techniques |
A Survey of Explainable AI in Information Retrieval |
Identification of Patient-Infections via Next-Generation Sequencing |
Classification Using Machine Learning Approaches – Eye State Prediction |
Autoassociative Networks for Information Retrieval |
Image Retrieval based Sub-region Similarity |
At the beginning of the course we will present the suggested topics but own ideas or suggestions are also welcome. Topics may require knowledge about Machine Learning and/or Information Retrieval and many of them require knowledge about computer vision and deep learning. To choose a topic, it is important to have the required knowledge for it. Additionally, all topics involve a certain amount of programming. Therefore knowledge in a (relevant) programming language is necessary.
Interested Persons
Please register yourself via LSF. Registrations will open on the 18th of March 2020. The seminar and project is limited to 10 participants. We apply the scheme: "First Come, First Serve" (FCFS). The topic distribution will be decided in the first dates of the course. I.e. if you have registered first and you are physically present at the first appointment, you can pick any of the presented topics. Anyone who is not present, will be skipped accordingly.
Materials
We will provide lecture slides, the choice of research topics during the course on Moodle: Link to the course
Dates and Rooms
24.04.2020: G22A-112,13:00 - 15:00, Online meeting First meeting to introduce the course, present and select the topics
28.04.2020: G22A-112, 9:00 - 11:00, Meeting to introduce scientific working and select the topics (details later).
08.05.2020: Work @ Home (read paper, write own paper, implement project)
14.05.2020: Submission for the concept presentations via E-Mail at 9:00 am!
15.05.2020: G22A-112, 13:00 - 15:00, Meeting: Concept presentations
22.05.2020: Final topic proposal via E-Mail (1 page, abstract + concept)
29.05.2020: Work @ Home (read paper, write own paper, implement project)
05.06.2020: Work @ Home (read literature, write paper, implement project)
12.06.2020: Paper draft submission at 13:00 pm (exactly 8 pages with template (plus references)) via E-Mail
17.06.2020: Get review from topic supervisor [+ Meeting with supervisor]
19.06.2020: Finalize the Paper @ Home
25.06.2020: Finalize the Paper @ Home
03.07.2020: Final Version submission at 13:00 pm (exactly 8 pages with template (plus references)) via E-Mail
10.07.2020: Paper presentation (Block Seminar 13:00-15:00)
Further information to the course are found in the E-Learning Portal (Moodle) of the OVGU. Link to the course
Teaching Staff
- ...
If you have any questions about the course, please contact us via E-Mail:
- Afra'a Ahmad Alyosef
E-Mail: afraa.ahmad-alyosef@ovgu.de - Andreas Nürnberger
E-Mail: andreas.nuernberger@ovgu.de
Materials
- Paper Template
- Presentation Template (Open Office)
- Online Sources
- Example of a very good paper
- Tips on Writing and Revising (by Katrin Krieger)