Description:

Modern laboratory equipment produces huge amounts of experimental data — spectral vectors with hundreds of wavelengths, microarrays, gene expression data, sensors, multi-channel images and many others. Even conventional measurements may end up with tens of variables. Such data represent a wealth of potential information but usually only a part of it relates to a problem of interest. This course teaches how to extract problem-dependent information from multivariate data. The practical part of the course assuming using R for calculations and visualization of results.
The course is split in to two parts. The first part (3 days, 2 ECTS) gives an introduction to descriptive and inferential statistics and R programming as well as Principal Component Analysis. The second part (3 days, 2 ECTS) is mainly devoted to supervised analysis of multivariate data, including regression and validation, preprocessing and variable selection as well as classification.
In each part lectures are supplemented with a suite of real life examples and exercises as well as assignments, with which students will try the discussed methods by solving various data analysis problems. To complete the course, participants have to work on three mini-projects and submit their results in form of reports within 2-3 month after the main part if finished.

Organizer: Associate Professor Sergey Kucheryavskiy, E-mail svk@bio.aau.dk
Lecturers: Associate Professor Sergey Kucheryavskiy
ECTS: 4 (2 + 2)
Date: November 18-20 (1st part), 23-25 (2nd part), 2020
Place: Section of Chemical Engineering, Aalborg University, campus Esbjerg, Niels Bohrs vej, 8, DK-6700, Esbjerg, Denmark
Deadline: 1.11.2020

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 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.

Description:
The relationship between composition, processing, structure, and properties is important in all areas of materials chemistry and physics. Decoding this relationship is, however, particularly challenging for disordered or partially disordered materials (e.g., glasses, gels, some of membranes, and cements) due to their lack of long-range periodic atomic arrangement. For the planned Ph.D. course, we will discuss recent advances in understanding their non-crystalline structure, emphasizing short- and medium-range order structure. We will cover various experimental techniques, with focus on x-ray and neutron scattering. We will also focus on structure analysis using computational methods such as classical molecular dynamics simulations. Several distinguished lecturers will be invited to present fundamental knowledge and their recent progress in the understanding structure of disordered materials using experimental and computational techniques. Each of the Ph.D. students will briefly present his/her research project to the whole class and communicate with both students and lecturers. The students will also read some specified literature and do some assignments from lecturers through group work.

Organizers: Professor Yuanzheng Yue, yy@bio.aau.dk
Professor MSO Morten M. Smedskjær, mos@bio.aau.dk
Associate Professor Vittorio Boffa, vb@bio.aau.dk
Lecturers: External speakers
ECTS: 3.0
Date: August 24-26, 2020
Place: Department of Chemistry and Bioscience, Aalborg University (AAU), Fredrik Bajers Vej 7H, DK-9220 Aalborg, Denmark
Registration Deadline: May 31, 2019
No. of participants: 25

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 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.

Description:
Microbial communities underpin all processes in the environment and have a direct impact on human health. However, despite their importance, only a tiny fraction of the millions of different microbes is known. This is mainly due to the immense difficulties of cultivating microbes from natural systems in the laboratory.
In this course, the participants will learn to use the Oxford Nanopore MinION DNA sequencer combined with metagenome binning techniques in order to recover individual genomes from complex metagenomes. Hence, overcoming the cultivation bias directly.
The course includes hands-on library preparation, and sequencing using the MinION platform. The obtained data is subsequently used for hands-on metagenome assembly, binning and genome annotation.

Organizers: Prof. MSO Mads Albertsen, Email: ma@bio.aau.dk.
Lecturers: Søren M. Karst, Rasmus H. Kirkegaard and Mads Albertsen
ECTS: 3.0
Date: May 5-8, 2020
Place: Department of Chemistry and Bioscience, Fredrik Bajers Vej 7H, Aalborg University, Aalborg, Denmark
Deadline: April 1st, 2019.
Max. No. of participants: The course is limited to 25 participants.

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 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.