Inhoudsopgave 1 Faculty of Sciences 8



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subject

Software Architecture

code

400170

credits

6

period

2 and 3

lecturers

prof.dr. J.C. van Vliet; dr. P. Lago

aim

Get acquainted with the field of software and information architecture. Understand the drivers behind architectural decisions. Be able to develop and reason about an architecture of a non-trivial system.

content

Students work in groups to develop an architecture for a fictitious system. They have to develop different representations (called views) of the architecture. These different representations emphasize different concerns of people that have a stake in the system. Each group will also be asked to assess ("test") the architecture of another group for certain quality attributes.

form of tuition

Group work with a number of assignments

literature

Len Bass et al, Software Architecture in Practice second edition. Addison-Wesley, 2003.

mode of assessment

Written reports of the assignments, presentation, exam.

entry requirements

Software Engineering.

target audience

mCS, mIS

remarks

Students are required to sign up for this course at Blackboard and via TIS (https://tisvu.v.unl/tis/menu) at least 2 weeks before the course starts.

For details, see the Blackboard system http://bb.vu.nl.






subject

Software Asset Management

code

400412

credits

6

period

1 and 2

lecturers

prof.dr. C. Verhoef; dr. A.S. Klusener

aim

Gain insight in IT costs, benefits, risks, and returns on information technology.

content

In this class we treat several techniques to aid in software cost estimation. We discuss how IT migrates from cost issue to strategic asset, and how to come to grips with this important production factor. We provide insight in how to support decision making on IT investment issues. Examples from the Financial and Insurance industry, and independent software vendors are discussed. With IT benchmarks we obtain insight in the risks of IT developmtn and the operational costs of IT. We introduce the notion of an IT portfolio, and how to perform quantitative analyses with it, to aid in justifying IT investments.

form of tuition

Seminar with presentations of staff and students.

literature

Articles and chapters from books.

mode of assessment

Essay on selected topics from articles. You can do this individually or in a group of 3 persons max.

entry requirements

Software Engineering (400071), a little statistical background is helpful.

target audience

mCS, mIS, mBMI, mAI



subject

Software Configuration Management

code

400413

lecturer

dr. R.L. Krikhaar

credits

6

period

4 and 5

aim

The goal of the course is to learn the basic concepts and principles of Software Configuration Management and to learn how to select and apply them in a real-world context.

content

Software Configuration Management (SCM) is required to control evolving software systems. This course introduces the basic concepts and principles underlying software configuration management, a.o. change control, version management, build management and release management. Tools are inevitable for SCM, therefore a number of SCM tools are compared to the discussed concepts and one or two of them are practiced.
New research areas of SCM are discussed: multi-disciplined configuration management, multi-sites CM and CM for multiple products (product families). In addition, the lectures will also cover SCM experiences in industry.

form of tuition

  • lectures;

  • working lectures (article reviews);

  • practice (workshop with a commercial SCM tool).

literature

  • SCM book (to be announced before course starts);

  • articles (to be selected during course).

mode of assessment

  • review of articles (presentation);

  • SCM study in industry (paper).

entry requirements

Bachelor Informatica, especially:

  • 400071 Software Engineering;

  • 400067 Project Software Engineering.

target audience

mCS




subject

Spectroscopy, Astrophysics and the Earth's Atmosphere

code

420090

lecturers

prof.dr. W.M.G. Ubachs; prof.dr. I. Aben

credits

6

period

4 and/or 5

content

The energy-level structure of molecules will be analyzed starting from the Schroedinger equation and the Born-Oppenheimer approximation: electronic structure, vibrational structure and rotational structure; fine structure effects in open shell molecules, spin-orbit splitting, Lambda-doubling. Spectra of molecules will be treated in the uv-visible, infrared and far-infrared. Rotations and vibrations of polyatomic molecules, and tunneling phenomena. Detection of molecules in outer space (interstellar medium, comets) and the Earth's atmosphere, including retrieval methods for determining column densities in the earth's atmosphere from satellite data; radiative transfer in the atmosphere.

mode of assessment

Wrtitten examination.

target audience

mPhys, mCh

remarks

Registration for this course via https://tisvu.vu.nl/tis/menu, two weeks prior to the start. Is obligatory; particpation is not allowed without prior registration !




subject

Static and Dynamic Scattering in Condensed Matter

code

420175

lecturers

dr. R. Sprik (sprik@science.uva.nl); dr. G.H. Wegdam

credits

6

period

4 and/or 5

content

Theory and experimental aspects of static and dynamic wave scattering in condensed systems including:

  • Structure and form factors

  • Spatial fluctuations and correlation

  • Dynamic fluctuations and correlation

As used in light, X-ray, neutron and other scattering techniques.

form of tuition

Courses, simulations, homework.

literature

To be determined.

mode of assessment

Homework and written or oral assignments (depending on the number of students).

target audience

mPhys, mCh




subject

Statistical Data Analysis

code

400073

credits

6

period

1, 2 and 3

lecturer

dr. M.C.M. de Gunst

aim

The course introduces the students to several widely used statistical models and methods, and the students are taught how to apply these tools to real data while using the statistical software package R.

content

The following subjects are covered:

  • introduction to the statistical package R;

  • summarizing data;

  • investigating the distribution of data;

  • Q-Q plots;

  • robust methods;

  • non-parametric methods;

  • bootstrap;

  • two-sample problems;

  • contingency tables;

  • regression analysis.

form of tuition

Lectures, exercises with computer, discussion of exercises.

literature

Material (in Dutch): Lecture notes, and R manual.

mode of assessment

Via weekly homework assignments and extended final assignment.

entry requirements

Algemene Statistiek (400004).

target audience

3W, mMath, 3BWI, mEct

remarks

Please note: Admission is limited; enrollment is compulsory.
The statistical package R can be downloaded for free from:
http://www.r-project.org/.




subject

Statistical Data Analysis

code

420067

lecturers

dr. E. de Wolf (UvA, phone: +31 (0) 20 592 5123, e-mail: edewolf@science.uva.nl); dr. T.J. Ketel

credits

6

period

1 and 2

aim

The purpose of the course is to present the basic mathematical and computational tools needed for the statistical analysis of experimental data. The methods will be practiced by writing and running short computer programs.

content

Main topics:

  • Probability: definition and interpretation, Bayes theorem. 

  • Distributions of random variables: random variables, probability density functions, expectation values, (co)variances, normalized distribution, Chebychev-inequality, transformation of variables, matrix-formalism, error propagation.

  • Examples of probability functions: binomial, multinomial, Poisson, uniform, exponential, Gaussian, chi-square, Cauchy; the law of large numbers, the central limit theorem.

  • The Monte Carlo method: generators for the uniform distribution; methods for non-uniform distributions.

  • Parameter estimation (general concepts): samples, properties of good estimators; estimators for mean and variance.

  • The method of maximum likelihood: the likelihood function, ML estimators for parameters of Gaussian and exponential distributions; variance of ML estimators, the information inequality; extended ML, ML with binned data; analytical and numerical methods.

  • The method of least square (LS): relation to ML, linear and non-linear LS-fit, LS with binned data, combining measurements with LS; analytical and numerical methods.

  • Testing the goodness-of-fit: the chi-squared distribution, degrees of freedom.

  • Least squares fitting with constraints: method of Lagrange multipliers.

form of tuition

Lectures and exercises.

literature

Course notes. S. Brandt, G. Gowan: Data Analysis, Statistical and Computational Methods for Scientists and Engineers, Springer Verlag, 1998. It is not required to acquire the book.

target audience

mPhys.

remarks

Registration via http://studieweb.student.uva.nl three weeks prior to the start of the course. Course registration includes registration for the examination. Registration is also possible at the Education Office, phone: +31 (0) 20 525 7100, e-mail: ondwns@science.uva.nl. For the course schedules consult the separate schedule guide or see http://www.student.uva.nl/




subject

Statistical Genetics

code

400296

credits

6

period

1 and 2

lecturer

prof.dr. A.W. van der Vaart

content

Probability and statistics play an important role in genetics. The mechanism of "meiosis", the forming of sperm or egg cells, is thought to be probabilistic in nature, as is the process of mating in large populations. The relationship between "genotypes" (DNA-sequence) and "phenotypes" (observable traits or diseases) can be modelled by probability distributions. The analysis of genetic determinants is based on random samples from a population, often biased, and various statistical methods are necessary to analyse such data. This course provides an introduction to stochastic models and methods used in genetics, directed at students in mathematics. We do assume a good working knowledge of probability and statistics (e.g. likelihood and Bayes inference, asymptotics, testing), but do not assume prior knowledge of genetics. In particular, the jargon in this description will be explained.
Statistical genetics is a classical branch of applied probability and statistics, which has recently gained much new interest, due to the signicifant breakthroughs in genetics, both experimentally and theoretically. With modern techniques and significantly increased data it is hoped to link diseases and other traits to genes (pieces of DNA) that can be precisely located on the genome in an unprecedented manner. A second line of interest is the study of evolution. This course incorporates parts of many different areas of statistics and probability.
Of course we start with Mendel's laws of "segregation", which stipulate that each parent passes a randomly chosen gene on to his/her offspring from each pair of genes, independently across genes. The latter independence was later found out to be untrue, and replaced by "linkage models", which stipulate positive dependence between genes sitting close together on the genome. The most popular model is based on a Poisson process model for "crossovers" during meiosis. The resulting models combined with "penetrance models" (conditional distributions for phenotypes given genotopyes) allow to write likelihoods for the observed phenotypes in families (or "pedigrees"), and thus to estimate the dependence of phenotypic traits on genetic factors. Because a full likelihood analysis requires the specification of many probability densities and is computationally intensive, other methods with the same aim are based on reduced data, in particular "IBD" (identity by descent) status. "Association" studies are based on the idea that individuals that share an affection or trait are likely to have all inherited a piece of chromosome from a common ancestor that is responsible for the affection, and hence are genetically more similar near the causal gene than the general population.  "Biometric analysis" is directed at decomposing phenotypic variation into genetic and environmental parts. Finally, probabilistic models explaining ancestry relations and mutations ("Kingman's coalescent") are used to study evolution and association.

literature

  • Lecture Notes.

  • Pak Sham, Statistics in Human Genetics.

  • Kenneth Lange, Mathematical and Statistical Methods for Genetic Analysis.

  • Elizabeth Thompson, Statistical Inference from Genetic Data on Pedigrees.

entry requirements

At least two courses in probability, two courses in statistics and general mathematical training.

target audience

mMath

remarks

http://www.math.vu.nl/sto/onderwijs/statisticalgenetics/




subject

Statistical Models

code

400418

lecturer

dr.ir. G. Jongbloed

credits

6

period

1 and 2

aim

Introduction to several frequently used statistical models and their application.

content

Analysis of variance, generalized linear models, non-linear models and time series.

form of tuition

Course of lectures as well as data analysis exercises with the computer (R).

literature

Lecture notes.

mode of assessment

Written exam plus exercises.

entry requirements

Algemene Statistiek (400004), Statistische Data Analysis (400073). A sufficient mark for the exercises is required for participation to the written exam.

target audience

mMath, mBMI, mEct




subject

Statistical Physics and Condensed Matter 1 Extension

code

420183

credits

2

period

3




subject

Statistical Physics and Condensed Matter Theory I

code

420083

 

This course can be extended with 2 credit points in period 3.

lecturer

prof.dr. B. Nienhuis (UvA, phone: +31 (0) 20 525 5749, e-mail: nienhuis@science.uva.nl)

credits

6

period

1 and 2

aim

To make the student familiar with more advanced methods and techniques of statistical physics, condensed matter physics and integrable systems.

content

Various subjects in statistical physics and theoretical condensed matter physics will be treated; the precise content of the course will be announced on the website http://www.science.uva.nl/~nienhuis/SPCMT1

form of tuition

Lectures and exercises.

literature

To be announced on the website.

mode of assessment

Examination in consultation with the students.

target audience

mPhys.

remarks

Registration via http://studieweb.student.uva.nl three weeks prior to the start of the course. Course registration includes registration for the examination. Registration is also possible at the Education Office, phone: +31 (0) 20 525 7100, e-mail: ondwns@science.uva.nl. For the course schedules consult the separate schedule guide or see http://www.student.uva.nl/




subject

Statistical Physics and Condensed Matter Theory II

code

420100

lecturer

prof.dr. A.M.M. Pruisken (UvA, phone: +31 (0) 20 525 5746, e-mail: pruisken@science.uva.nl)

credits

6

period

4 and 5

aim

To make the student familiar with modern techniques in condensed matter physics, in particular with applications of path integral techniques.

content

In this course we study the effects of interactions and disorder on the behaviour of electrons. In the first part we introduce general concepts like Fermi liquid theory, spin and charge ordering, the metal-insulator transition, superconductivity, the Kondo effect, Anderson localization, the quantum Hall effect etc. The second and main part of this course deals with the Renormalization Group, the fermionic path integral and their applications to the correlated electron gas.

form of tuition

Lectures and exercises.

literature

Will be announced.

mode of assessment

In consultation with the students written or oral examination.

target audience

mPhys.

remarks

Registration via http://studieweb.student.uva.nl three weeks prior to the start of the course. Course registration includes registration for the examination. Registration is also possible at the Education Office, phone: +31 (0) 20 525 7100, e-mail: ondwns@science.uva.nl. For the course schedules consult the separate schedule guide or see http://www.student.uva.nl/




subject

Statistics and Probability Seminar

code

400135

credits

4

lecturers

dr. M.C.M. de Gunst; dr.ir. G. Jongbloed; prof.dr. R.W.J. Meester; prof.dr. A.W. van der Vaart

period

not fixed

content

The subject will be chosen in consultation with the students. Possibilities include bootstrap methods, statistics for point processes, survival analysis, statistics for genetics, hidden Markov models, Markov chain Monte Carlo methods.

form of tuition

Participants will present chapters from books or articles. The style will be informal. Presentation and global understanding will be the main focus. This seminar is meant specifically for students; one or more docents will guide the seminar.

mode of assessment

None.

entry requirements

General Statistics (400004). Interested students are requested to contact one of the docents ample time before they wish to start.

target audience

3W, mMath

remarks

Registration for this course is compulsory via https://tisvu.vu.nl/tis/menu, two weeks prior to the start.




subject

Stochastic Differential Equations

code

400454

credits

6

period

4 and 5

target audience

mMath

remarks

This course is part of the joint national master programme in mathematics.
For schedules, course locations and course descriptions see http://www.mastermath.nl.
Registration required via http://www.mastermath.nl.




subject

Stochastic Integration

code

400297

credits

6

lecturer

dr. P.J.C. Spreij (Phone: +31 (0) 20 525 6070, e-mail: spreij@science.uva.nl)

period

Semester 2

aim

Making students familiar with the principles of stochastic analysis, stochastic integrals and stochastic differential equations.

content

Stochastic calculus is an indispensable tool in modern financial mathematics. In this course we present this mathematical theory and apply it to the problem of pricing and hedging of financial derivatives. We treat the following topics from martingale theory and stochastic calculus: martingales in discrete and continuous time, construction and properties of the stochastic integral, Ito's formula, Girsanov's theorem, stochastic differential equations. As an application, we explain how stochastic differential equations are typically used to model financial markets and we discuss the problem of the pricing of derivatives such as stock options.

form of tuition

Lectures.

literature

Lecture notes.

mode of assessment

Exercises and oral examination. Extension with 2 points to 8 cp (code 400470) is possible through an oral exam on additional material.

entry requirements

Measure theoretic probability.

target audience

mSFM

remarks

Registration via http://studieweb.student.uva.nl   4 weeks prior to the start of the course. Course registration includes registration for the examination. Registration is also possible at the Education Office, phone: 525 7100, e-mail: ondwns@science.uva.nl

Consult the schedules at http://www.student.uva.nl or contact the coordinator.



Location: UvA.




subject

Stochastic Optimization

code

400336

credits

6

period

1 and 2

lecturer

dr. S. Bhulai

content

Theory and algorithms for stochastic optimization are treated and applied to controlled queueing systems. We will discuss aspects of semi-Markov decision theory and their applications in certain queueing systems. In a programming assignment the students implement optimization algorithms and experiment with them. Experience with the more theoretical subjects is obtained through homework.

literature

Lecture notes (will be handed out during lectures).

mode of assessment

Programming and written exercises, final examination.

entry requirements

Stochastische Methoden (400391) or equivalent and a programming language.

target audience

mBMI, mMath, mSFM and exchange students.

remarks

This course is given in English.




subject

Stochastic Processes

code

400339

credits

8

period

4 and 5

target audience

mSFM, mMath

remarks

This course is part of the joint national master programme in mathematics.
For schedules, course locations and course descriptions see http://www.mastermath.nl.
Registration required via http://www.mastermath.nl.




subject

Stochastic Processes for Finance

code

400352

lecturer

dr. J.H. van Zanten

credits

6

period

1 and 2

content

Financial institutions trade in risk, and it is therefore essential to measure and control such risks. Financial instruments such as options, swaps, forwards, caps and floors, etc. play an important role in risk management, and to handle them one needs to be able to price them. This course gives an introduction to the mathematical tools and theory behind risk management.
A "stochastic process" is a collection of random variables, indexed by a set T. In financial applications the elements of T model time, and T is the set of natural numbers (discrete time), or an interval in the positive real line (continuous time). "Martingales" are processes whose increments over an interval in the future have zero expectation given knowledge of the past history of the process. They play an important role in financial calculus, because the price of an option (on a stock or an interest rate) can be expressed as an expectation under a so-called martingale measure. In this course we develop this theory in discrete and continuous time, with an emphasis on the second. Most models for financial processes in continuous time are based on a special Gaussian process, called Brownian motion. We discuss some properties of this process and introduce "stochastic integrals" with Brownian motion as the integrator. Financial processes can next be modeled as solutions to "stochastic differential equations".
After developing these mathematical tools we turn to finance by applying the concepts and results to the pricing of derivative instruments, by studying models for the "term structure of interest rates", and to risk measurement and management. Foremost, we develop the theory of no-arbitrage pricing of derivatives, which are basic tools for risk management.

literature

  • Lecture notes.

  • Alison Etheridge, Financial Calculus.

  • Martin Baxter and Andrew Rennie, Financial Calculus: an Introduction to Derivatives Pricing.

mode of assessment

Computer assignments / Written examination.

entry requirements

Introductory probability theory and statistics, calculus.

target audience

mBMI, SFM

remarks

website: http://www.math.vu.nl/sto/onderwijs/RMT/




subject

String Theory

code

400242

lecturer

prof.dr. J. de Boer (UvA, phone: +31 (0) 20 525 5769, e-mail: jdeboer@science.uva.nl)

credits

6

period

4 and 5

aim

This course will provide a basic introduction in string theory and along the way concepts of modern physics will be studied.

content

Non-relativistic and relativistic strings; quantization and spectrum; D-branes; thermodynamics and black holes; string interactions and loop amplitudes.

form of tuition

Lectures and exercise sessions.

literature

B. Zwiebach: A First Course in String Theory, Cambridge University Press, 2004.

mode of assessment

Written examination.

entry requirements

Quantum Field Theory or equivalent.

target audience

mPhys

remarks

Registration via http://studieweb.student.uva.nl three weeks prior to the start of the course. Course registration includes registration for the examination. Registration is also possible at the Education Office, phone: +31 (0) 20 525 7100, e-mail: ondwns@science.uva.nl. For the course schedules consult the separate schedule guide or see http://www.student.uva.nl/  




subject

Supramolecular Chemistry and Nanomaterials

code

435653

lecturers

prof.dr. L. de Cola; prof.dr. J.N.H. Reek

credits

6

period

6

aim

To develop understanding of the molecular basis of the function of photonic (bio)materials).

content

Topics: non-covalent interactions; self-assembly in artifical and biological systems; synthesis and characterization of artifical supramolecular assemblies (dendrimers, molecular wires, mechanically interlocked compounds); excited states and their behavior in supramolecular systems (including artifical and biological dye aggregates); synthesis and properties of nanomaterials.

form of tuition

lectures 18 hours, tutorials 18 hours.

literature

Will be announced.

mode of assessment

Written examination.

entry requirements

BSc.

target audience

Master programmes Laser Sciences/Molecular Photoscience, master Molecular Design, Synthesis and Catalysis

remarks

  • Registration for this course: at the latest three weeks prior to the start of the course via the UvA 'studieweb': http://studieweb.student.uva.nl (`werkgroepen')

  • Registration for examination: at the latest one week prior to the date of the examination via studieweb (`tentamen'). Registration is also possible at the Education Office.

  • prof. dr. L. De Cola, Phone: +31 (0) 20 525 6459, e-mail: ldc@science.uva.nl
    For more schedule information please consult the UvA schedules or the Education Office, Phone:.+31 (0) 20 525 7049,  e-mail: svhouten@science.uva.nl




subject

Symplectic Geometry

code

400449

credits

8

period

1 and 2

target audience

mMath

remarks

This course is part of the joint national master programme in mathematics.
For schedules, course locations and course descriptions see http://www.mastermath.nl.
Registration required via http://www.mastermath.nl.




subject

Synthetic Approaches in Medicinal Chemistry

code

435685

lecturer

dr. I. de Esch (room G343a, tel. 598 7841, ideesch@few.vu.nl)

credits

6

period

4, 5 and 6

aim

To obtain detailed knowledge of important reactions and synthesis strategies.

content

This course will focus on some of the most important and generally used reactions for organic synthesis. These include, among others, alkylation of nucleophilic carbon intermediates, nucleophilic substitutions, electrophilic additions to carbon-carbon multiple bonds, reductions, oxidations, cycloadditions, aromatic substitution reactions, rearrangements and reactions involving transition metals.

form of tuition

Lectures, tutorials and self-study.

literature

F.A. Carey and R.J. Sundberg, Advanced Organic Chemistry, Parts B

mode of assessment

Oral or written examination.

entry requirements

Course Drug Design and Synthesis.

target audience

mPhar

remarks

Please contact the coordinator six weeks prior to the start of the course (e-mail: ideesch@few.vu.nl).




subject

Synthetic Organic Chemistry

code

435665

lecturers

prof.dr. H. Hiemstra (Phone: +31 (0) 20 525 5941, e-mail: hiemstra@science.uva.nl); dr. H. Maarseveen; dr.ir. R.V.A. Orru

credits

6

period

2

aim

Extension and deepening of the knowledge of organic compounds and their transformation with emphasis of synthetic possibilities and applications.

content

Formation of carbon-carbon bonds via ionic, radical and pericyclic mechanisms. Oxidations and reductions. Applications of organometallic compounds. Transition metal catalysis in organic synthesis. Enantioselective synthesis. Protective groups and retrosynthesis.

form of tuition

Lectures.

literature

Clayden, J.P., Organic Chemistry, Oxford University Press, 2001.

mode of assessment

Written examination.

entry requirements

B.Sc.

target audience

mCh

remarks

Registration for the course: via http://studieweb.student.uva.nl three weeks prior to the start of the course. Examination: one week prior to the examination date. Registration is also possible at the UvA Education Office, phone: +31 (0) 20 525 7100/7049. E-mail: ondwns@science.uva.nl (mathematics and physics students). E-mail: svhouten@scienc.uva.nl (chemistry students). For the course schedules please consult the separate UvA schedule guide or phone the Education Office.




subject

Systems and Control

code

400332

credits

6

period

1 and 2

target audience

mMath and others

remarks

This course is part of the joint national master programme in mathematics.
For schedules, course locations and course descriptions see http://www.mastermath.nl.
Registration required via http://www.mastermath.nl.




naam

Taalgebruikstheorie, 1

code

500013

coördinator

dr. H.D. van der Vliet

docent

Diverse docenten

studiepunten

5

contacturen

28 (28 college)

periode

4

doel

Door kennis te maken met wetenschappelijke benaderingen van taalgebruik ontwikkel je inzicht in hoe mensen zich talig gedragen. Je leert hoe je je tegenover je eigen taalgebruik en dat van anderen analytisch en kritisch op kunt stellen. Je zult je er daarbij van bewust worden dat waarden en normen voor taalgedrag in je eigen sociale omgeving sterk kunnen verschillen van de waarden en normen in andere maatschappelijke verbanden.

inhoud

Je maakt kennis met opvattingen over en inzichten in taalgebruik. De centrale gedachte is dat taalgebruikers hun taalgebruik - en daardoor hun taal - afstemmen op hun gesprekspartners: taalgebruik komt in interactie tot stand. Het college zal inzicht geven in wat taalgebruikers doen, in de wijze waarop ze handelen en in de vraag waarom ze doen wat ze doen. Je maakt kennis met begrippen die van belang zijn voor verdere studies in de taalkunde en taalbeheersing en voor het onderwijs in de taalvaardigheid. Verder maak je kennis met methodes om taalgebruik te onderzoeken. Daarvoor moet je onder andere gespreksmateriaal verzamelen en een analyse maken van enkele taalgebruiksaspecten.

werkwijze

Er zijn zeven hoorcolleges van twee uur, twee practicumcolleges van ieder twee  uur en vier werkcolleges van twee uur. De practicumcolleges moeten gevolgd worden om de opdrachten voor het werkdossier te kunnen maken.

literatuur

Theo Janssen (ed.), Taal in gebruik. Een inleiding in de taalwetenschap, Den Haag: Sdu Uitgevers, 2002

toetsing

Een schriftelijk tentamen in de laatste week van de collegeperiode (1/2 van het cijfer); een individueel werkstukdossier (1/2 van het cijfer). Het dossier bevat een uitwerking van verschillende opdrachten die op de blackboardsite te vinden zijn. Zowel voor het tentamen als voor het werkstukdossier moet een voldoende behaald worden.

doelgroep

Verplicht voor 1e jaars studenten CIW Nederlands, Duits en Taalwetenschap. Naar keuze voor studenten die geïnteresseerd zijn in menselijke communicatie.

blackboard

Ja. Toegang na inschrijving via TIS

opmerkingen

  • Dit vak vormt samen met Vlootschouw taalbeheersing (505002) of Inleiding algemene taalwetenschap (500011) een minoronderdeel

  • Inschrijven verplicht via TIS. Daarbij geeft iedere student zelf via TIS aan in welke groep hij/zij bij voorkeur ingedeeld wil worden (zie Aanmelden cursusgroep in TIS)




subject

Techniques in Molecular Biophysics

code

430055

co-ordinator

dr.ir. E.J.G. Peterman

lecturers

dr.ir. E.J.G. Peterman; dr. J.T.M. Kennis

credits

6

period

3

aim

To gain knowledge and hands-on experience in modern, widely-used techniques in molecular and cellular biophysics.

content

Theory:
Modern research in molecular and cellular biophysics takes advantage of a variety of advanced physical techniques. Subject of this course are: optical spectroscopy (absorption, fluorescence, vibrational spectroscopy, polarization, time-resolved), optical microscopy (confocal microscopy, phase contrast, single-molecule fluorescence), optical trapping, scanning-force microscopy, and NMR. These techniques will be discussed both on the fundamental physical level as on the application level.
Practicals:
Important parts of the course are lab classes to provide hands-on experience with the techniques and instrumentation.
Literature exercise:
To create a better understanding of the use and applicability of certain techniques, recent biophysical research articles will be read and discussed, with particular emphasis on the techniques used.
The course is an integral combination of lectures (16 contact hours) and lab classes (16 contact hours) and a literature exercise.

form of tuition

  • Tutorials/discussions of book material, lecture notes

  • Laboratory work

  • Self-study

literature

Notes/handouts from the lecturers.

mode of assessment

Written exam, reports of practical classes & literature exercise.

entry requirements

Bachelor Medical Natural Sciences, Physics, Chemistry, Pharmaceutical or (Medical) Biology. Some knowlegde of biophysics is an advantage.

target audience

MSc Students with Bachelor in Medical Natural Sciences, Physics, Chemistry, Pharmaceutical Sciences or (Medical) Biology.

remarks

Application for this course should reach dr. Peterman T (020) 598 7576, e-mail erwinp@nat.vu.nl by the 1st of December 2006.




naam

Tekst- en beeldontwerp

code

707115

docent

dr. L. Lagerwerf

studiepunten

6

periode

3e

doel

Het verkrijgen van inzicht en vaardigheid in de wijze waarop teksten in diverse genres worden opgebouwd.

inhoud

In verschillende communicatiewetenschappelijke vakken worden effecten van de boodschap en aspecten van de zender bestudeerd. In dit vak gaan we in op het proces dat daartussenin ligt: het ontwerpen van de boodschap, gegeven de doelstellingen van de zender en gericht op de beoogde effecten. De keuze van het tekstgenre speelt daarbij een grote rol: bepaalde conventies van het tekstgenre zijn zeer sturend voor het begrip van en het effect op de lezer. Het op de juiste wijze structureren van de inhoud is een cruciaal onderdeel van het ontwerp. Bij de uitwerking in feitelijke tekst en beeld is de wisselwerking tussen tekst en beeld van groot belang. Aan de hand van het ontwerpen van twee tekstgenres (een reclameboodschap en een website) worden het ontwerpproces, de rol van specifieke genres en de wisselwerking van tekst en beeld inzichtelijk gemaakt. Tevens oefent men zich bij het maken van de opdracht in het gericht ontwerpen en structureren van een boodschap.

werkwijze

Practicum waarin stapsgewijs twee grote opdrachten worden gemaakt. Het is mogelijk dat informatiekundestudenten deelnemen aan dit vak. Voor het vak geldt een aanwezigheidsplicht.

literatuur

  • Olij, Erwin (2004). Website megatips. Eck en Wiel: Van Duuren Media. ISBN 9059400550 (niet verplicht; circa 30 euro).

  • Cornelis, Louise (2002). Adviseren met perspectief. Rapporten en presentaties maken. Bussum: Continho. ISBN 9062833020 (verplicht; circa 18 euro).

toetsing

Testimonium op basis van de twee opdrachten (elk 50%).

opmerkingen

Ten einde het onderwijs voor dit vak adequaat te kunnen organiseren, is het noodzakelijk dat studenten zich voor dit vak uiterlijk 18 december 2006 inschrijven via TIS. Niet of te laat inschrijven heeft als mogelijke consequentie dat men uitgesloten wordt van deelname aan het vak.




subject

Term Rewriting Systems

code

400121

credits

6

period

1 and 2

lecturer

dr. R.C. de Vrijer

content

Term rewriting systems (TRSs) provide for a natural formalism
for specifying rules of computation and investigating their properties.
TRSs are of basic importance for functional programming and for the implementation of abstract data types. Applications can also be found in theorem proving, proof checking and logic programming. Some topics that will be covered in the course are:

  • abstract reduction systems;

  • critical pairs and Knuth-Bendix completion;

  • orthogonality and reduction strategies;

  • termination (rpo's, monotone algebras);

  • combinatory logic;

  • decidability issues;

  • infinitary rewriting.

form of tuition

Lectures and practice sessions.

literature

Will be provided.

mode of assessment

Written examination.

entry requirements

Compulsory: Inleiding logica.
Advised: Algebraische specificaties, Inleiding theoretische informatica.

target audience

mCS (also an optional course for mAI, mMath)

remarks

Once every other year, not in spring 2006.




naam

Theory, Computation and Spectroscopy

code

435013

docenten

dr. L. Visscher; prof.dr. E.J. Baerends; dr. E.J. Meijer

studiepunten

6

periode

2

aim

Theoretical and computational aspects of modern chemistry and physics.

content

The theory of electronic structure of molecular and (partly) periodic systems. Specific subjects are time-independent and time-depentdent Perturbation Theory, Hartree-Fock theory and electron correlation methods, Density Functional Theory.
Application of this theory using modern quantumchemical software in a hort project in a specific field of research. The student can choose betwen three different themes:
- molecular spectroscopy
- condensed phase system
- solid state and surfaces.

form of tuition

Lectures, Exercises and Short Project

literature

Atkins and Friedman, Molecular Quantum Mechanics, 4 th ed., Oxford University Press, ISBN-13: 9780199274987
Hand-outs

mode of assessment

 Written exam and project report.

target audience

mPhys

recommended background knowledge

Quantum Mechanics




subject

Topology II

code

400079

credits

6

period

4 and 5

docent

prof.dr. J. van Mill

aim

The aim of this course is to present some basic results from dimension theory. Some of the presented results are classical. During the last decades significant contributions were made concerning the topology of so-called infinite-dimensional spaces and the topology of hereditarily indecomposable continua. We shall also present some of these results in detail.

content

Dimension theory enables us to assign to every topological space X an integer, dim X, having, among other things, the following properties: (1) if X and Y are homeomorphic spaces then dim X = dim Y, (2) dim R^n = n for every n. So dim X, the topological dimension of X, is a topological invariant of X, and by (2) it distinguishes between the euclidean spaces R^n.

literature

For the lecture notes, see http://www.cs.vu.nl/~vanmill/teaching/topologieII/notes.pdf
(we will basically cover Chapter 3 (and more) in The infinite-dimensional topology of function spaces: http://www.cs.vu.nl/~vanmill/books/book2.html).

mode of assessment

Oral examination.

entry requirements

Topologie I (400416).

target audience

3W, mMath




naam

Vakdidactiek natuurkunde

code

990123

docent

dr. G.J. Kuik (vakdidacticus natuurkunde)

studiepunten

9

periode

Het vak beslaat 2 semesters (een heel studiejaar). Startmomenten zijn aan het begin van de semesters: in september en in februari.

inhoud

De vakdidactiek natuurkunde houdt zich bezig met de inhoud van het schoolvak natuurkunde en met het lesgeven in dit schoolvak. Er is aandacht voor vakspecifieke kennis, vaardigheden en inzichten en de voor het schoolvak relevante ICT-toepassingen. In het vakdidactiekprogramma vindt eveneens een vertaling plaats van algemeen didactische thema's naar het vak. De leservaringen op school spelen hierbij een belangrijke rol. Door het samenstellen van een digitaal portfolio kan een student aantonen over de competenties te beschikken om zelfstandig les te kunnen geven.

Een belangrijk onderdeel van de vakdidactiek is de meesterproef: in het tweede semester ontwerpt de docent in opleiding als meesterproef onderwijsmateriaal volgens een aantal richtlijnen. Een meesterproef kan bestaan uit praktische opdrachten, trainingsmodules, een speciaal lessenpakket, een plan voor een excursie, etc. De docent in opleiding laat hiermee zien dat hij of zij zelfstanding vanuit eigen kennis en inzicht t.a.v. onderwijs, vak en maatschappij een uitgewerkt plan kan ontwerpen dat leerlingen in staat stelt op een bepaald gebied leerervaring op te doen.



werkwijze

werkcolleges op maandag

literatuur

Een reader wordt uitgereikt bij aanvang van de colleges.

toetsing

Er zijn twee deeltoetsmomenten: aan het eind van elk semester een mondeling naar aanleiding van het samengestelde portfolio.

entreevoorwaarden

Dit vak is alleen te volgen als onderdeel van de universitaire lerarenopleiding




naam

Vakdidactiek scheikunde

code

990122

docent

dr. E.M.M. van Rens (vakdidacticus scheikunde)

studiepunten

9

periode

Het vak beslaat 2 semesters (een heel studiejaar). Startmomenten zijn aan het begin van de semesters: in september en in februari.

inhoud

De vakdidactiek scheikunde houdt zich bezig met de inhoud van het schoolvak scheikunde en met het lesgeven in dit schoolvak. Er is aandacht voor vakspecifieke kennis, vaardigheden en inzichten en de voor het schoolvak relevante ICT-toepassingen. In het vakdidactiekprogramma vindt eveneens een vertaling plaats van algemeen didactische thema's naar het vak. De leservaringen op school spelen hierbij een belangrijke rol. Door het samenstellen van een digitaal portfolio kan een student aantonen over de competenties te beschikken om zelfstandig les te kunnen geven.

Een belangrijk onderdeel van de vakdidactiek is de meesterproef: in het tweede semester ontwerpt de docent in opleiding als meesterproef onderwijsmateriaal volgens een aantal richtlijnen. Een meesterproef kan bestaan uit praktische opdrachten, trainingsmodules, een speciaal lessenpakket, een plan voor een excursie, etc. De docent in opleiding laat hiermee zien dat hij of zij zelfstanding vanuit eigen kennis en inzicht t.a.v. onderwijs, vak en maatschappij een uitgewerkt plan kan ontwerpen dat leerlingen in staat stelt op een bepaald gebied leerervaring op te doen.



werkwijze

werkcolleges op maandag

literatuur

Een reader wordt uitgereikt bij aanvang van de colleges.

toetsing

Er zijn twee deeltoetsmomenten: aan het eind van elk semester een mondeling naar aanleiding van het samengestelde portfolio.

entreevoorwaarden

Dit vak is alleen te volgen als onderdeel van de universitaire lerarenopleiding




naam

Vakdidactiek wiskunde

code

990125

docent

drs. W.S. Hoekstra (vakdidacticus wiskunde)

studiepunten

9

periode

Het vak beslaat 2 semesters (een heel studiejaar). Startmomenten zijn aan het begin van de semesters: in september en in februari.

inhoud

De vakdidactiek wiskunde houdt zich bezig met de inhoud van het schoolvak wiskunde en met het lesgeven in dit schoolvak. Er is aandacht voor vakspecifieke kennis, vaardigheden en inzichten en de voor het schoolvak relevante ICT-toepassingen. In het vakdidactiekprogramma vindt eveneens een vertaling plaats van algemeen didactische thema's naar het vak. De leservaringen op school spelen hierbij een belangrijke rol. Door het samenstellen van een digitaal portfolio kan een student aantonen over de competenties te beschikken om zelfstandig les te kunnen geven.

Een belangrijk onderdeel van de vakdidactiek is de meesterproef: in het tweede semester ontwerpt de docent in opleiding als meesterproef onderwijsmateriaal volgens een aantal richtlijnen. Een meesterproef kan bestaan uit praktische opdrachten, trainingsmodules, een speciaal lessenpakket, een plan voor een excursie, etc. De docent in opleiding laat hiermee zien dat hij of zij zelfstanding vanuit eigen kennis en inzicht t.a.v. onderwijs, vak en maatschappij een uitgewerkt plan kan ontwerpen dat leerlingen in staat stelt op een bepaald gebied leerervaring op te doen.



werkwijze

werkcolleges op maandag

literatuur

Een reader wordt uitgereikt bij aanvang van de colleges.

toetsing

Er zijn twee deeltoetsmomenten: aan het eind van elk semester een mondeling naar aanleiding van het samengestelde portfolio.

entreevoorwaarden

Dit vak is alleen te volgen als onderdeel van de universitaire lerarenopleiding




subject

Visual Design

code

400147

credits

6

period

4 and 5

lecturer

dr. A. Eliens

aim

The course aims to bring about elementary skills in visual design and some level of critical aesthetic awareness.

content

The course offers a series of basic assignments, including the design of a logo, a sign, as well as the development of a storyboard and a collage, to exercise skills in visual design, and to gain experience with relevant tools, such as photoshop. For the final assigments, students may choose to develop a house style, create an animation, or realize visual elements for a game, for example visual effects in a game space. All assignments must be presented in an online portfolio. To exercise critical skills, students are required to submit multiple peer-reviews. Students are also required to write an essay and give a presentation about a designer or artist, or another relevant topic in visual design. Guest lectureres from the area of media art or design will be invited to show their work and discuss their professional approach.

form of tuition

Lectures and series of practical assignments.

literature

Online studyguide.

mode of assessment

Portfolio with assignments, essay and presentation.

target audience

mCS-MM, 2IK

remarks

The deadlines in this course are strict. For more information, see www.cs.vu.nl/~eliens/design




naam

Voortgezette logica

code

400410

docent

drs.ing. C.A. Grabmayer

studiepunten

4

periode

4

doel

De modale logica werd al kort geintroduceerd in het vak Inleiding Logica. Doel van dit college is de verdere verdieping van inzicht en vaardigheden in de modale logica, met het oog op toepassingen in Informatica en Kunstmatige Intelligentie.

inhoud

De modale logica bestaat in verschillende gedaantes, bijvoorbeeld tijdslogica, kennislogica, dynamische logica, deontische logica, en al deze vormen hebben hun eigen specifieke toepassingen. Maar het theoretisch kader is steeds hetzelfde: Kripke-modellen met mogelijke werelden en toegankelijksheidsrelaties. Bij een specifieke vorm van modale logica, bijvoorbeeld kennislogica, horen dan wel specifieke eigenschappen van de toegankelijkheidsrelaties. Een belangrijk technisch hulpmiddel bij de bestudering van een modale logica is bisimulatie tussen Kripke-modellen. In de dynamische logica slaan de modaliteiten op het gedrag van programma's in een programmeertaal voor het samenstellen van atomaire acties.

werkwijze

2 uur per week hoorcollege en 2 uur per week werkcollege.

literatuur

Collegedictaat.

toetsing

Schriftelijk tentamen (plus facultatief twee collecties inleveropgaven waarmee 0,5 bonus punt kan worden verdiend).

doelgroep

3I, 3AI, mAI, mCS (ook geschikt als keuzevak Wiskunde)

voorkennis

Inleiding Logica (400119)




naam

Web-gebaseerde kennisrepresentatie

code

400083

studiepunten

6

periode

4 en 5

docent

dr. K.S. Schlobach

doel

Doel van dit college is om de student kennis te laten maken met de mogelijkheden voor kennis-representatie technieken op het World Wide Web, en de technieken die daarvoor momenteel ontwikkeld worden.

inhoud

Het WWW biedt grote mogelijkheden voor het gebruik van bestaande en nieuwe kennisrepresentatie technieken. Een belangrijk doel hierbij is het omvormen van het huidige Web (pagina's die voor menselijke lezers bedoeld zijn) tot een Web waarin kennis expliciet is gemodelleerd, zodat deze ook voor machinaal gebruik geschikt is. Dit zal een belangrijke stap zijn naar de verwezenlijking van intelligentere zoek-machines, informatie-filters, adaptieve Web-sites, etc. In dit college behandelen we een aantal technieken die aan de basis van deze nieuwe generatie van het Web zullen staan: modelleer technieken (bijv. ontologieen), standaar web-technieken zoals XML) en kennisrepresenatie talen voor gebruik op het Web (RDF,OWL). Het college bespreekt ook een aantal toepassingsscenario's, zoals e-commerce, zoeken en navigeren, en format-onafhankelijk publiceren.

werkwijze

Hoorcollege (1x per week) in de eerste 8 weken, met bijbehorend practicum in de weken daarna. In het practicum zal een toepassing worden gerealiseerd met voornoemde markup talen en systemen.

literatuur

Antoniou, G., Harmelen, F. van, A Semantic Web Primer. MIT Press ISBN 0-262-01210-3.

toetsing

Practicumopdracht.

doelgroep

2AI, 2IK, keuzevak voor I, BWI

voorkennis

Gewenst: Kennissystemen (400126).




naam

Werkcollege terminologie, Ma

code

539619

docent

dr. H.D. van der Vliet

studiepunten

5

contacturen

14 (14 werkcollege)

periode

2

doel

Kennismaking met de praktijk van de terminologie. De student selecteert zelf een twintigtal begrippen uit een bepaald vakgebied en beschrijft deze in twee talen (in records).

inhoud

In dit college wordt een model voor de beschrijving van termen in praktijk gebracht. Voor het vervaardigen van een vocabulaire worden de volgende stappen gezet: Onderwerpen bepalen (binnen één vakgebied dat aan het begin in overleg wordt vastgesteld), bronnen verzamelen (met inbegrip van een specialist als informant), selectie begrippen en termen beschrijving hiervan op verschillende niveaus, invoeren van gegevens in database, dit alles in twee talen. Voor sommige stappen wordt nog extra literatuur bestudeerd en besproken.

literatuur

Artikelen

toetsing

Actieve deelname aan het college plus werkstuk

doelgroep

Master studenten Taalwetenschap en ICT & vertalen

opmerkingen

Inschrijven verplicht via TIS




subject

Wetenschapscommunicatie via internet

code

471033

lecturers

dr. J.F. Hoorn; drs. M. Bos

credits

6

period

27.11.2006-22.12.2006

aim

Students will:

  • Gain insight in theory and practice of science communication and education via the internet;

  • Gain insight in systematic application of text, images, multimedia and infographics;

  • Develop experience with writing and revising internet text, images, multimedia and infographics.

content

Topics:

  • Science communication and education via the internet for specific target groups;

  • Content management (for dynamic websites);

  • Internet usability;

  • Content production.

form of tuition

Lectures, seminars, training sessions and home-study. During the course students will work on a project (in groups). The aim of this project will be planning and designing a science communication/ education website. The students will write a proposal for a website, accompanied by a design of the homepage and content (images and text). They will not program/build a real website.

literature

Reader (available at start of the module).

mode of assessment

Assessment on the basis of the group project, individual products and participation during seminars.

entry requirements

Students must have completed the module Wetenschapsjournalistiek (471014).

target audience

Master's students of FALW and FEW.

remarks

Course is taught in Dutch.




subject

Wetenschapsjournalistiek (science journalism)

code

471014

lecturers

drs. A.A.M. van Lent; drs. M. Bos; prof.dr. J.T.J.M. Willems (co-ordinator); drs. L. Linsen

credits

6

period

30.10.2006-24.11.2006

aim

  • Gaining insight in popularization of the beta sciences in print media;

  • Learning how to write popular scientific articles for newspapers and magazines;

  • Learning how to write specific genres like interviews, book reviews and opinion articles.

content

This module consists of interactive lectures about practical and theoretical aspects of science journalism. Topics are writing techniques, interviewing, illustrating science and technology, communication sciences, ethical aspects of pcst and communication barriers between scientists and journalists.

These aspects are discussed during seminars (after selfstudy), by means of cases and with guest lecturers.

The afternoons (and part of the mornings) are set aside for writing exercises of at least six popular-scientific articles. These will be discussed during the meetings. The last assignment should result in an article fit for publication in a newspaper or magazine.


form of tuition

Seminars on theory and practice of journalism, writing skill training and homework (in small groups), both in the field of writing and in assessing other student's articles.

literature

Donkers, H. & Willems, J. (2002). Journalistiek schrijven. Bussum: Coutinho (2nd edition).

mode of assessment

Assessment is based on the last assignment: a popular scientific article for a newspaper or magazine.

target audience

Master's students of FALW and FEW.

remarks

Course is taught in Dutch.

This course involves a lot of homework. Part of it will fit in the study programme, but probably you will need to find time and energy to write articles outside of it as well.






subject

Yeast Genetics

code

435619

lecturer

dr. M.H. Siderius

credits

6

period

4 or 5

aim

Goal of this course is to get acquainted with the field of (yeast) Molecular Gentics. Both theoretically and practically, students gain insight in the use of Molecular Genetics to identify new components working in signal tranduction, metabolism, differentiation and more.

content

The students will learn about, and practice the molecular biological- biochemical- and genetic techniques in (yeast) cell biological research. Examples are 2-hybrid analysis, gene copy suppression screens, synthetic lethality/viability, use of reportergene constructs.  The value of yeast Molecular Genetics will be discussed on the basis of the theory, reviewing scientific papers. In the practical part of the course, different genetics screens will be demonstrated and employd. Results obtained in the practical course and the literature research will be discussed on the basis of regular presentations by the students.

literature

Handouts on the theoretical aspects of yeast molecular genetics, selected papers and a laboratory guide

mode of assessment

Presentation during the course, a written exam.

entry requirements

Mastercourse 'Chemistry of life' or 'Molecular Biology'.

remarks

Applications should reach Dr. Siderius (mh.siderius@few.vu.nl) at least three weeks before the starting date.





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