Summer School: Hönö Sessions in Soft Matter
For more information and registration information:
NB! Free of charge.
Doktorandkurser i farmaceutisk teknologi
(Note: this course will be held in Swedish)
” Introduktionskurs i farmaceutisk teknologi”, 3 hp
”Kurs i farmaceutisk teknologi” 7,5 hp (första delen utgörs av 3 hp kursen).
Kursernas syfte är att ge doktorander en inblick i farmaceutiska frågeställningar, principer och tillverkningsprinciper. I Introduktionskursen kommer undervisningen att växla mellan föreläsningar, laborationer och räkneövningar. Kursen avslutas med en tenta. Del två av 7.5 hp kursen består av föreläsningar, labbar, samt muntliga och skriftliga redovisningar av litteraturrapporter.
Deadline: August 1
I filerna nedan finner ni kursplaner och preliminära scheman för kurserna.
farmaceutisk_teknologi_3p.pdf 72.22 kb
Farmaceutisk_teknologi_75.pdf 77.26 kb
Undergraduate Statistics Course (also open to Master's and Graduate Students)
(NB! This course is held in Swedish) Course code: KKR031 Försöksplanering (6,0 hp) (Experimental Design)
(NB! This course is held in Swedish)
Course code: KKR031 Försöksplanering (6,0 hp) (Experimental Design)
Examiner: Claes Niklasson, firstname.lastname@example.org, phone: 7723027
Examination: Examination consists of calculation examples (3-5) and 1-2 descriptive (theory) questions.
Requirements for passing:
Textbook and course material: (can be bought at Cremona)
Douglas C. Montgomery: Design and Analysis of Experiments
Calulation examples (compendium) produced by Chemical Reaction Engineering
After the course the students must be able to:
• Plan experiments according to a proper experimental design. Choose the appropriate experimental design for different circumstances.
• Analyse and evaluate experimental results properly according to different methods (ANOVA, regression, etc.)
• Describe and apply fundamentals (in statistics and exp. design) such as hypothesis testing, degrees of freedom, factorial design, regression and so on according to course material.
• Apply and understand fundamentals in multivariate data analysis (PCA and PLS).
Douglas C. Montgomery: Design and Analysis of Experiments
Introduction experimental design
Simple comparative Experiments – Basic statistical Concepts
Analysis of variance residuals, transformations
Randomized Blocks, Latin square design
Factorial design, response curves fitting.
2k factorial design
Blocking and confounding in the 2k factorial design.
Two level Fractional Factorial Design, Fold over, Plackett-Burmans experimental design
Regression, least square, linear modelling lack of fit
Registration: Contact course examiner Claes Niklasson, email@example.com, for acceptance.
Statistical Thermodynamics (15hp)
Course leader: Prof Roland Kjellander,
Course details and schedule can be found in this pdf file:
Statistical_Thermo_08.pdf 224.05 kb
Register by contacting Roland Kjellander, tel. 031-772 28 19, firstname.lastname@example.org
Deadline for registration:
An introduction to x-ray crystallography
Dates: 21 to 25 May, 2007
The aim of the course is to introduce the basic ideas surrounding the crystallisation of proteins, recording x-ray diffraction data and processing this data. It should provide a useful insight into the most popular method for solving structures.
Register by contacting Richard Neutze: email@example.com
The course is supported by the National Research School in Genomics and Bioinformatics. Students in the research school have priority, however, the course is open to anyone!
Postgraduate Courses in the Life Sciencies
The Research School in Genomics and Bioinformatics (RSGB) has over the years mostly arranged courses that play a clear role in improving the multidisciplinary skills of students. However, the research school has now invested (as one of several financers) in a PhD course programme that is an initiative from Lund University. This Lund initiative has proven earlier to provide high-class hands-on courses on specific topics.
The course programme is open to any student in the region! However, courses are usually fully booked, and there are a limited number of seats (usually 6 - 10 students per course) so there is no guarantee that all that register can take the course. The good thing is that these courses will be given three times (the three coming years) which means that there will be new chances to apply. So, please take a look at the following web site where you will find more specific information on the content of the course, course leaders and how to register:
Postgraduate Courses at Sahlgrenska Academy
Sahlgrenska Academy offers several graduate courses in the medical, dental and health disciplines. Students from other faculties can apply, but space is not guaranteed.
Experimental design and multivariate analysis, 5 pts, lp1
For more information contact the course examiner: 9064 Claes Niklasson (CN), firstname.lastname@example.org, 7723027
Nanobio Science for Information Processing, 5 pts, lp4
The course covers specific topics from range of fields such as electronics, biology, cytology, computing science with emphasis on understanding and manipulating process responsible for information processing on nanoscales in the living cell.
For more information, see the course homepage
The National Research School in Genomics and Bioinformatics arranges the course:
BASIC STATISTICS FOR GENOMIC SCIENCE
in spring semester 2007
Main Teacher: Olle Nerman <email@example.com>
The ambition is that each block should start around 10.30 the first day and end before 16.00 the third day. We will also arrange social activities in some evenings. All teaching will be at Chalmers Campus.
The course is also open for other graduate students in genomics and bioinformatics disciplines from the collaborating universities in Göteborg/Lund/Skövde/ Halmstad, but the total number of participants is maximised to 30 and Students in the school are admitted with priority, if they apply before February 5, 2007. Course language will be ENGLISH.
Probability and Statistics for Engeneering and the Sciences, by Jay L. Devore, 6th Edition ©2004 (or earlier editions)
This book is not too advanced mathematically, and covers most topics that you will be confronted to in the course. And it can serve well as "a first help in statistics " for you after the course.
Course Plan and Schedule
Our purpose with the first block is to repeat basic probabilistic and statistical notions and ideas, that most students have met before, and also to give more substance to, and a deeper understanding of those ideas and notions to the course participants. Different parts of the stuff will naturally be new to different student groups.
In the second block we will try to dive a bit deeper into both the ideas behind statistical models and proper use of formal statistical methods in more advanced situations. Two lectures of the second block will be devoted to initiation of mini-projects suggested by the course participants (or suggested by us). Those mini-projects will be performed in group form, with e-mail assisted supervision from one of the course teachers or assitants.
Around half of the time in the two first blocks will be devoted to a series of practical computer assisted exercises. The blocks will be examined through individual take home assignments.
The third block will be a mix of final miniproject work, miniproject presentations and some further lectures of advanced topics with special emphasis on genomic applications.
Preliminary list of topics in the course:
Please do not hesitate to contact me (Olle) if you need further information, and please tell your graduate student friends that they all have a chance to learn more about fascinating and necessary scientific tools by joining the course quickly!
For registration please go to our web-site www.cmb.gu.se/research_school -> courses - > 2007.
Welcome to this course that addresses important tools in Genomics and Bioinformatics!
Last modified: July 01, 2008
Responsible for this page: Therese Johansson