Welcome to Introduction to Multivariate Data Analysis

 

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.

This course is split in two parts: first part (2 days, 1 ECTS) gives an introduction to descriptive and inferential statistics and R programming. The second part (3 days, 3 ECTS) is mainly devoted to analysis of multivariate data, including exploratory analysis, 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 and lecturer: Associate Professor Sergey Kucheryavskiy, email: svk@bio.aau.dk

ECTS: 4

Time: 24. - 28. April 2017

Place: Section of Chemical Engineering, Aalborg University, campus Esbjerg, Niels Bohrs vej, 8

Zip code: 6700

City: Esbjerg

Number of seats: 15 (at least 5-7 from AAU)

Deadline: 3. April 2017

 

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 Analysis of Microbial Community Structure by 16S Amplicon Sequencing

 

Description: The next generation DNA sequencing technologies now allow large-scale high throughput identification of microbial diversity in any environmental sample. The most popular method, 16S rRNA amplicon sequencing, will be central in the course. It includes all steps in the analysis: sampling, DNA extraction, preparation of the sample for sequencing, sequencing (Illumina platform), and bioinformatic analysis. The course includes lectures, hands-on, group exercises/discussions and student presentations. The students can bring 3 of their own samples.

Organizer: Professor Per Halkjær Nielsen, email: phn@bio.aau.dk and Assistant Professor Mads Albertsen, email: ma@bio.aau.dk

Lecturers: Assistant Professor Mads Albertsen, Assistant Professor Søren Karst, and professor Per Halkjær Nielsen

ECTS: 3

Time: 2. - 5. May 2017

Place: Department of Chemistry and Bioscience, Fredrik Bajers Vej 7H, Aalborg University

Zip code: 9220

City: Aalborg Ø

Number of seats: The course is limited to 25 participants. Please send motivated application (max. 1 page) to Professor Per Halkjær Nielsen (phn@bio.aau.dk). Successful participants will be notified by 4. April 2017.

Deadline: 24. March 2017

 

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 Structure Dependence and Characterization of Mechanical and Rheological Properties of Inorganic Materials

Description:
The mechanical and rheological properties of inorganic solids (ceramics, glasses, cements, metals, carbon, etc.) determine their range of use and typically also the material lifetime. It is therefore important to understand the dependence of mechanical and rheological properties on composition and micro- and macro-structures. For the planned Ph.D. course, we introduce the state-of-art knowledge of the modern characterization tools (both in situ and ex situ) of mechanical and rheological properties and the structural origin of viscosity, elasticity, plasticity, and fracture. Both experimental and computational studies will be included. The similarities and differences between various types of materials systems will be highlighted by inviting several distinguished lecturers to present their recent progress. The students will do some assignments from lecturers through group work.


Organizer: Professor Yuanzheng Yue, yy@bio.aau.dk and Professor MSO Morten M. Smedskjær, mos@bio.aau.dk


Lecturers: External speakers, Yuanzheng Yue and Morten M. Smedskjær

ECTS: 2

Time: July 6-7, 2017

Place: Department of Chemistry and Bioscience, Aalborg University (AAU), Fredrik Bajers Vej 7H, DK-9220 Aalborg, Denmark

Zip code:
9220

City:
Aalborg

Number of seats: 13 (AAU) and 13 (Non-AAU)

Deadline: April 15, 2017

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.