lunduniversity.lu.se

Department of Astronomy and Theoretical Physics

Faculty of Science | Lund University

Courses

 

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Introductory meetings - astronomy HT 2018

Introductory meetings - theoretical physics HT 2018

Course literature Astronomy - Note! Please always double check with course homepage

Course literature Theoretical Physics - Note! Please always double check with course homepage

Degree projects in astronomy or theoretical physics

 

 

Undergraduate courses

Astronomy  semester, period
Basic AstronomyASTA03, 7.5 hpAutumn, not given 2016, 2017 and 2018
Conditions for Life in the UniverseASTA04, 7.5 hpSpring even years, not given 2016 and 2018
The Universe and the QuarksASTA05, 7.5 hpSpring odd years, not given 2017
Galaxies and CosmologyASTA33, 7.5 hpAutumn, 2
Radiation Processes and Stellar AtmospheresASTA34, 7.5 hpSpring, 1
Introduction to AstrophysicsASTB01, 7.5 hpAutumn, 1
AstrobiologyASTC01, 7.5 hpAutumn, 2
Bachelor's Degree ProjectASTK02, 15 hpAutumn and spring
Theoretical physicssemester, period
Fluid DynamicsFYTA14, 7.5 hpSpring, 2
ElectromagnetismFYTB13, 7.5 hpAutumn, 1 and Spring, 2
Classical mechanics and special relativityFYTB14, 7.5 hpSpring, 1
Bachelor's Degree ProjectFYTK02, 15 hpAutumn and spring
The Scientific MethodSASF10/MNXA19, 7.5 hpSpring, 1

Advanced courses

Astronomysemester, period
High Energy AstrophysicsASTM12, 7.5 hpSpring, 2, odd years
Dynamical AstronomyASTM13, 7.5 hpAutumn, 2
Stellar Structure and EvolutionASTM14, 7.5 hpAutumn, 1
Laboratory AstrophysicsASTM15, 7.5 hpSpring, 2, odd years
Observational Techniques and InstrumentationASTM18, 7.5 hpSpring, 2, even years
Extragalactic AstronomyASTM19, 7.5 hpAutumn, 1, odd years
Planetary SystemsASTM20, 7.5 hpAutumn, 1, even years
Statistical Tools in Astrophysics
ASTM21, 7.5 hpAutumn, 2
Computational AstrophysicsASTM22, 7.5 hpSpring, 1
Master Degree Project ASTM31, 60 hp
Theoretical Physicssemester, period
Mathematical methods of physicsFYTN01, 7.5 hpAutumn, 1
Statistical mechanicsFYTN15, 7.5 hpAutumn, 2
Computational physicsFYTN03, 7.5 hpAutumn, 1
Theoretical particle physicsFYTN04, 7.5 hpAutumn, 2
Theoretical biophysicsFYTN05, 7.5 hp2018/19: Spring, 1 (normally Autumn, 1)
Introduction to artificial neural networks and deep learning
FYTN14, 7.5 hpAutumn, 2
General relativityFYTN08, 7.5 hpSpring, 2
Classical mechanicsFYTN09, 7.5 hpAutumn, 2, odd years
Introduction to Quantum Field TheoryFYTN10, 7.5 hpSpring, 1
Cosmology and Astroparticle PhysicsFYTN11, 7.5 hpAutumn, 2, even years
Systems Biology - Models and ComputationsFYTN12, 7.5 hpAutumn, 2, even years
Symmetries and Group TheoryFYTN13, 7.5 hpSpring, 1, odd years
Masters degree projectsFYTM03, 30 hp

Autumn and spring

FYTM04, 60 hpAutumn and spring

Courses for PhD-students

Note that these are not always given at a fixed schedule, contact the responsible teacher if you are interested.

Some are run together with master level courses.

Astronomi och Astrofysiksemester, period
Dynamics of Planetary SystemsNAAS001, 7.5hp
Physics of NebulaeNAAS002, 7.5hp
Statistical Tools in AstrophysicsNAAS003, 7.5hp
Topics in Theoretical AstrophysicsNAS001F, 7.5hp
Galactic DynamicsNAS002F, 7.5hp
Theoretical Physicssemester, period
Introduction to PhD studies in astronomy and theoretical physics
NATF001, 1.0hp
Advanced Quantum Field TheoryNATF002, 7.5hp
Particle Physics PhenomenologyNATF003, 7.5hp
Colours, Flavours and their ConsequencesNATF007, 7.5hp
Statistical MechanicsNATF008, 7.5hp
ElectrodynamicsNATF009, 7.5hp
SuperconductivityNATF010, 4.5hp
Cosmology and Astroparticle PhysicsNATF011, 7.5hp
Symmetries and Group TheoryNATF012, 7.5hp
Introduction to Quantum Field TheoryNATF013, 7.5hp
General RelativityNTF001F, 7.5hp
Theoretical Particle PhysicsNTF002F, 7.5hp
Artificial Neural Networks and Deep LearningNTF005F, 7.5hp
Introductory Molecular Biology7.5hp
Object Oriented Programming in C++4.5hp
Advanced Quantum mechanics7.5hp
COMPUTE Research Schoolsemester, period
Interdisciplinary studies in computational researchNATF004-6, 2-4hp
Computational tools and recipesNATF014, 7.5hp
Efficient Programming of Modern HPC ArchitecturesNATF015, 7.5hp
Reproducible and Interactive Data Analysis and Modeling using Jupyter notebooksNATF017, 4.0hp
Domain Decomposition MethodsNTF003F, 7.5hp
Distributed computing concepts and toolsNTF004F, 4.5hp
Information on when they run and other COMPUTE courses

Other courses of interest for postgraduate students

Pedagogical courses at the faculty

MNXA02, GEMF05, GNVB05 Gender in Science and Technology