Virksomhedskurser – Københavns Universitet

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SCIENCE > Uddannelse > Efter- og videreuddannelse > Virksomhedskurser

Skræddersy et unikt kursus til din virksomhed

Ønsker I, at give en gruppe medarbejdere et fælles løft, kan vi tilrettelægge kurser specifikt til jer.

Vi leverer skræddersyede uddannelsesforløb og -programmer, konsulentydelser og andre løsninger i tæt samarbejde med din virksomhed.

Det Natur- og Biovidenskabelige Fakultet (SCIENCE) tilrettelægger alle kurser og seminarer i tæt dialog med både vore egne forskere og deres internationale netværk. Vi tilbyder bl.a. kurser inden for:

  • Fødevarer og sundhed
  • Energi og miljø
  • Dyr, etik og velfærd
  • Bioteknologi
  • Planter og naturressourcer
  • Skov-, land- og byudvikling
  • Politik, økonomi og ulande  

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Det relevante institut på SCIENCE 

Et samarbejde med SCIENCE:

  • er et tæt samarbejde med forskere og undervisere på fakultetet
  • er undervisning baseret på den nyeste forskning
  • er undervisning, som lægger vægt på en tæt kobling mellem teori og praksis

Følgende kurser udbydes

Design of Experiments

Week 40: Wednesday to Thursday, October 5th to October 6th, 2016

Background: Proper analysis of data and efficient planning of experiment is (or should be!) a part of every scientist’s toolbox. In this short course, an outline of different terms within Design of experiments and the theory behind when to use what are given. After a reminder on the basics of statistics and populations required for experimental planning (sampling, univariate linear regression, etc.) we will look at the setup and analysis of designed experiments and statistical inference from designed data (Designs, ANOVA, etc.). Furthermore we will discuss efficient planning and performance of fixed pattern and sequential optimizations techniques useful in e.g. yield optimization in production processes or instrumental optimization in analytical chemistry procedures.

Audience: The course is intended for people handling problems where using Design of experiments can be an advantage when setting up the experiments or people who have general interest in knowing how to setup and use experimental designs. Simple mathematical and statistical terms will be used in the course and the theory will be accompanied by computer exercises.

Software: JMP (SAS) will be used during exercises (or alternatively MODDE, by Umetrics).

Teachers: Frans van den Berg.

Location: University of Copenhagen, Frederiksberg Campus.

Price: 7.000 DKK

The course is taking place from 9 AM to 4 PM both days. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English. Please note that a minimum of 8 participants must sign up for this course to take place.

Registration: Enroll to Rasmus Bro (rb@food.ku.dk) September 21th, 2016 at the latest. Please provide e-mail address of course participants so last minute details can be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged.

Image Analysis

Week 46: Wednesday, October 19th, 2016.

Background:Image analysis has widely demonstrated to be a powerful tool in the food and pharmaceutical industries. An image consists of several pixels where unique chemical, structural and distributional information can be present, revealing interesting surface properties such as distribution phenomena in sliced food products and mixing properties of the active pharmaceutical ingredient (API) in tablets. Moreover, the use of spectroscopy in hyperspectral imaging and advanced mathematical methods can provide additional quantitative and qualitative knowledge.

Audience:The course is intended for researchers interested in image analysis and those who have some experience in basic chemometrics. The application of methodologies for different purposes (segmentation, classification, etc) will be used in the course and a variety of examples will be given. Teaching material in English will be handed out at the course and consists of slides. Lectures will be in English.

Teachers: José Manuel Amigo

Location:University of Copenhagen, Frederiksberg Campus.

Price: 3.500 DKK

The course is taking place from 9 AM to 4 PM both days. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English.

Registration: Enroll to Rasmus Bro (rb@food.ku.dk) October 6th, 2016 at the latest. Please provide e-mail address of course participants so last minute details can be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged

Basic Control Theory

Week 44: Tuesday, November 1st, 2016

Background: This is a first trial for this course. We plan to discuss the basics of classical engineering control using examples. Some terms: feed-back control, feed-forward control, cascade control, Proportional Integral Differential/PID, Ziegler-Nichols tuning, sensors, actuators, system stability, Programmable Logic Controller/PLC, …

Audience: The course is intended for people who want to discuss the basic of control with e.g. colleagues or instrument vendors. The course will (most likely) not be sufficient to implement control concepts “stand alone”. Some mathematical and statistical expressions will be used in the course; no previous knowledge is required but it probably helps if you are a little bit “nerdy”.

Teachers: Frans van den Berg

Location: University of Copenhagen, Frederiksberg Campus

Price: 3.500 DKK

The course is taking place from 9 AM to 4 PM. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English.

Registration: Enroll to Rasmus Bro (rb@food.ku.dk) October 18th 2018 at the latest. Please provide e-mail address so last minute details can be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged.

Processing of untargeted GC-MS data

Week 44: Wednesday, November 2nd, 2016.

Background: Complex samples analyzed with full scan untargeted GC-MS can provide a wealth of information about the samples. The aim of this course is to make the participants familiar with a number of methods that can be used to optimally extract information from the data obtained from untargeted GC-MS analysis.

During the course, the participants will be introduced to a new data processing tool (PARADISe) which can be used to extract pure spectra of co-eluting compounds as well as relative concentrations of these.

    The course will provide the participants with the necessary theoretical background knowledge to:
  • Apply PARAFAC2 for processing raw GC-MS data.
  • Evaluate GC-MS results and remove noise/uninformative compounds from the obtained dataset.

Audience: The course is of importance to scientists and technologists working e.g. in the food, biotech and pharmaceutical industry engaged in studies involving untargeted GC-MS or wishing to learn more about designing and data processing of untargeted GC-MS. The course will provide an overview of the requirements and resources needed in order to implement the demonstrated techniques.

Teachers: Rasmus Bro

Location: University of Copenhagen, Frederiksberg Campus

Price: 3.500 DKK

The course is taking place from 10 AM to 4 PM. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English.

Registration: Enroll to Rasmus Bro (rb@food.ku.dk) October 19th, 2016 at the latest. Please provide e-mail address so last minute details can be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged.

Chemometrics – Bring Your Own Data

Week 46: Monday, November 14th, 2016.

Background: On top of the introductory course in basic chemometrics and as a natural extension, Bring Your Own Data is a single day where you can bring your own data. During this day you will get an overview of your own data. Using PCA and PLS you will learn which variation sources dominate your data? Other things could be: Is there any sample grouping and how is this evaluated? How well can I predict a certain parameter? How do I select the proper variables? Is my model robust and how do I check this even further?

NOTICE there will be no theory concerning PCA and PLS, as this is covered by the two days of Basic Chemometrics.

Audience: The course is intended for participants who have already worked a bit with chemometric in practice and are now facing some more advanced problems.

Teachers: Rasmus Bro

Location: University of Copenhagen, Frederiksberg Campus

Price: 3.500 DKK

The course is taking place from 9 AM to 4 PM both days. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English.

Registration: Enroll to Rasmus Bro (rb@food.ku.dk) November 1th, 2016 at the latest. Please provide e-mail address of course participants so last minute details can be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged

Basic Chemometrics

Week 50: Tuesday to Wednesday, December 13th to December 14th, 2016.

Background: Chemometrics (or multivariate data analysis) may be used to solve problems involving large amounts of data. This is relevant within fields such as development, research, process monitoring and control, and laboratory analysis. In these fields, the use of single variables is often inadequate to describe, differentiate or classify objects/samples. Looking at more variables at a time ensures that interactions, patterns and correlations are taken into consideration. Combined with superior data visualization, chemometrics is a needed tool for proper data analysis. As participant you will be introduced to the multivariate way of thinking and learn how to explore your data properly and how to set up a multivariate calibration/regression model. The course is a mixture of lectures and exercises. In the exercises, you will use the chemometrics tools and from this be able to navigate through the raw data to interpretation of model parameters on your own. Exercises will be performed in groups of two. During this course you will NOT be able to work with your own data.

Audience: The course is intended for people handling problems where chemometrics may be applied or people who have a general interest in learning more about chemometrics and its applications. Some mathematical and statistical expressions will be used in the course and a variety of data (e.g. sensory and spectroscopic data) will be used as examples.

Software: LatentiX will be used during exercises.

Teachers: Carl Emil Eskildsen, Rasmus Bro and Marta Bevilacqua.

Location: University of Copenhagen, Frederiksberg Campus.

Price: 7.000 DKK

The course is taking place from 9 AM to 5 PM both days. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English.

Registration: Enroll to Rasmus Bro (rb@food.ku.dk) no later than Friday, December 2nd, 2016. Please provide e-mail address of course participants so last minute details may be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged.