by semester | by teacher| all | Algebra/Geometry | Probability | Analysis | Statistics

2017-2018

Schedule of courses 2017-2018

Fall year 1 Bachelor Spring year 1 Bachelor
Analyse 1
van Gaans
Caleidoscoop
Finkelnberg
Lineaire algebra 1
Edixhoven
Wiskundige structuren
Kalle
Programmeermethoden
(LIACS)

Algebra 1
van Luijk
Analyse 2
Chirilus-Bruckner
Inleiding kansrekening (Engels)
Avena
Optimalisering (B1 en B2)
Spieksma

Fall year 2 Bachelor Spring year 2 Bachelor
Algebra 2
Stevenhagen
Gewone differentiaalvergelijkingen (Analyse 3)
Rottschäfer
Inleiding statistiek
van der Pas
Lineaire algebra 2
van Luijk
Studentenseminarium presenteren en communiceren
Finkelnberg, van Gaans, de Smit
Topologie
Bruin
Random walks (y2 or 3)
Verbitskiy

Algebra 3
Bright
Complexe functietheorie (Analyse 4)
Hupkes
Introduction to Measure Theory (3EC)
Verbitskiy
Studentenseminarium presenteren en communiceren
Finkelnberg, van Gaans, de Smit
Projectieve meetkunde (y2 or 3)
Finkelnberg
Modelleren en simulatie
(Delft)
Numerieke methoden 1
(Delft)

Fall year 3 Bachelor Spring year 3 Bachelor
Besliskunde A
Spieksma
Differentiable manifolds 1
van der Veen
Introduction to algebraic topology
de Jong
Minor: Elementary practical mathematics for non-mathema
Hille
Minor: Interdisciplinary Research Training
Hille
Complex networks (BM)
den Hollander, Garlaschelli (LION), Emmerich (LIACS)
Curves over finite fields (BM)
Griffon
Diophantine approximation (BM)
Evertse
Introduction to dynamical systems (BM)
Doelman
Linear analysis (BM)
de Jeu
Mathematical statistics (BM)
Schmidt-Hieber
Measure theory (BM)
Hille
Multiscale Mathematical Biology (BM)
Merks
Probability seminar: Random Walks in a Random Environme (BM)
Avena, den Hollander

Bachelor seminarium algebra, meetkunde
de Jong, Stevenhagen, Lenstra
Bachelor seminarium analyse, stochastiek, besliskunde
de Jeu, Schmidt-Hieber
Besliskunde B
Spieksma
Bifurcation and chaos (BM)
Rottschäfer
Coupling theory (BM)
den Hollander
Differentiable manifolds 2 (BM)
Lubke
Dynamical systems seminar (BM)
Rottschäfer
Ergodic theory and fractals (BM)
Kalle, Verbitskiy
Representation Theory of Finite Groups (BM)
van der Veen

Fall master Spring master
Algebraic geometry 1 (MM)
Edixhoven, Kret (UVA)
Algebraic number theory (MM)
de Smit, Stevenhagen
Commutative Algebra (MM)
Holmes, de Jeu (VU)
Lerarenvak Fundamenten (MM)
Edixhoven, ??
Machine learning Theory (MM)
Grünwald, de Heide, Koolen (CWI)
Partial differential equations (MM)
Hupkes, Hulshof (VU)
Statistical learning
van Erven
Mathematical biology (MM)
Hille, Planque (VU)

Algebraic Geometry 2 (MM)
de Jong, Faber (UU)
Elliptic curves (MM)
Streng, Bright
Modular Forms (MM)
Bruin, Dahmen (VU)
Nonlinear waves (MM)
Chirilus-Bruckner, Doelman, Hupkes, Hulshof
Stochastic processes (MM)
Spieksma, Avena
Time series (MM)
Gugushvili
Functional analysis seminar
de Jeu, van Gaans
Information theoretic learning
Grünwald

Fall service Spring service
Statistiek 1 BFW bl.1
van Mil
Statistiek 2 BFW bl.2
van Mil
Advanced Statistics BIO bl.1
van Mil
Basic statistics for master students (3ec) bl.1
van Mil
Continue wiskunde 1 bl.1
Evertse
Lineaire algebra 1 (INF) bl.2
Holmes
Calculus 1A LST bl.1
van Gaans, van der Veen
Calculus 1B LST bl.1
- not yet this year -
Calculus 1C LST bl.1
- not yet this year -
Statistiek LST bl.1
van der Vaart
Calculus LUC bl.1
Winter
Quantitative Research Methods LUC bl.2
Schmidt-Hieber
Quantitative Research Methods LUC bl.2
Eckle
Calculus 2 MST 3EC bl.2
Bruin
Analyse 1NA
Kooman
Analyse 3NA
Chirilus-Bruckner
Lineaire algebra 1NA
Streng
Lineaire algebra 2NA
Kooman

Calculus BFW bl.4
Kooman, van Mil
General Research Skills BIO
van Mil, et al.
Continue wiskunde 2 (INF) bl.3
Evertse
Lineaire algebra 2 (INF) bl.4
Holmes
Statistics LUC bl.3
van Erven
Statistics LUC bl.3
Kpogbezan
Statistics LUC bl.3
van der Hoeven
Statistics LUC bl.3
Duisters
Statistics LUC bl.3
Munch
Statistics LUC bl.3
Lancia
Statistics LUC bl.3
Rueten-Budde
Statistics LUC bl.3
Schauer
Statistics LUC bl.3
Schwaller
Mathematical modelling LUC bl.4
Akeyr
Mathematical modelling LUC bl.4
van der Lugt
Mathematical modelling LUC bl.4
- to be found -
Mathematical modelling LUC bl.4
- to be found -
Mathematical reasoning LUC bl.4
Visse
Mathematical reasoning LUC bl.4
van Bommel
Mathematical reasoning LUC bl.4
Lyczak
Mathematical reasoning LUC bl.4
- to be found -
Mathematical reasoning LUC bl.4
- to be found -
Quantitative Research Methods LUC bl.4
Szabó
Analyse 2NA
Kooman
Statistiek AN
Szabó
Wiskundige methoden van de natuurkunde
Kooman

Fall other Spring other
Markov Decision Processes LNMB
Spieksma

Lapptop/Pre-university bl.3
Kalle

In this list mastermath courses are included only if they have an instructor from the MI

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