Courses

  • Applying the Danish Code of Conduct for Research Integrity to your Research (2016) (AAU – 1.0ECTS)

Objective: To understand the principles of research integrity, dwell on the basic standards for conducting responsible research – from the planning phase to the dissemination of results, and also  the current administration for misconducts.

Date: 21 November, 2016

  • Introduction to the PhD Course and Good Scientific Practice (2016) (AAU – 1.0ECTS)

Objective: To understand  how the PhD education at Aalborg University is structured as well as the formal requirements related to develop study plan.

Date:  29 November, 2016.

  • Computing with Data Using R (2016) (AAU – 4.0ECTS)

Objective: To train and improve skills in  case-specific programming as well as data analysis through  the free program R as a computational environment.

Date: 30 November + 1,2,7,8 and 9 December, 2016

  • Control and Optimization (2017) (AAU –4.0ECTS)

Objective: The course has two main parts, which in headlines are: (1) Optimal Control, and (2) Optimization and Applications. In the first part of the course, we will concentrate on the foundation of optimal control with necessary and sufficient condition for optimality, and various types of constraints.  The second part of the course will be devoted to the optimization algorithms and the application of optimal control.

Date: 26 – 30 June, 2017

  • Writing and Reviewing Scientific Papers – Spring 1 (2017) (AAU – 3.75ECTS)

Objective: To improve the participants’ competence in writing and reviewing scientific papers. The course takes a practical approach and focuses on the craftsmanship needed as a scientist.

Date: 14 February and 9 May, 2017

  • Optimization Strategies and Energy Management Systems (2017) (AAU – 3.0ECTS)

Objective:  To understand how to recognise and formulate different optimization problems in planning, operation and control of energy systems, and how to solve them using existing softwares and solvers such as MATLAB, GAMS, and Excel. Different principal algorithms for linear, network, discrete, nonlinear and dynamic optimization are introduced and related methodologies together with underlying mathematical structures are described accordingly.

Date: 3 – 5 May, 2017

  • Summer school course on ICONN (2017) (AAU– 3.0ECTS)

  • Study group on stochastic dynamic and filtering theory (2016-2017) (AAU– 5.0ECTS)