Courses 2021/22 for Pi Programme
Engineering Mathematics ◄ 21/22
Study Year 1 (Mandatory Courses)
Course Code  Credits  Cycle  S.Ex. stud.  Language  Course Name  Footnote  Links  21/22 sp1 
21/22 sp2 
21/22 sp3 
21/22 sp4 


FMAB65  7.5  G1    S  Calculus in One Variable B1  KS KE U W T  1  
FMAB20  6  G1    S  Linear Algebra  KS KE U W T  1  
FMAB55  5  G1    S  Mathematical Communication  KS KE U W T  1  2  3  
FMAB70  7.5  G1    S  Calculus in One Variable B2  KS KE U W T  2  
EDAA55  9  G1    S  Programming, First Course  KS KE U W T  2  3  
FMEA35  6  G1    S  Engineering Mechanics I  KS KE U W T  3  
FMAB35  7.5  G1    S  Calculus in Several Variables  KS KE U W T  3  4  
FMAB40  4  G1    S  Mathematical Modelling  X  KS KE U W T  4  
FAFF40  7.5  G2    S  Waves and Optics  KS KE U T  4 
FMAB40 Mathematical Modelling: All the projects must be approved during the current academic year. Thus one may not save results on single projects till a later year.
Study Year 2 (Mandatory Courses)
Course Code  Credits  Cycle  S.Ex. stud.  Language  Course Name  Footnote  Links  21/22 sp1 
21/22 sp2 
21/22 sp3 
21/22 sp4 


FMAF01  7  G2    E1  Mathematics  Analytic Functions  KS KE U W T  1  
FMSF80  9  G2    S  Mathematical Statistics, Basic Course  KS KE U W T  1  2  
EDAA01  7.5  G1    S  Programming  Second Course  KS KE U W T  1  2  
FMAF05  7  G2    E1  Mathematics  Systems and Transforms  KS KE U W T  2  
FRTF05  7.5  G2    S  Automatic Control, Basic Course  KS KE U W T  3  
MIOA12  6  G1    S  Managerial Economics, Basic Course  KS KE U W T  3  
FMAN55  7.5  A    S  Applied Mathematics  KS KE U W T  3  4  
FMAF25  3  G2    S  Mathematical Modelling with Statistical Applications, Project  KS KE U W T  4  
EITG10  6  G2    E1  Systems, Signals and Discrete Transforms  KS KE U W T  4 
Study Year 3 (Mandatory Courses)
Course Code  Credits  Cycle  S.Ex. stud.  Language  Course Name  Footnote  Links  21/22 sp1 
21/22 sp2 
21/22 sp3 
21/22 sp4 


ETEF01  7  G2    S  Electromagnetic Field Theory  KS KE U W T  1  
FMSF10  7.5  G2  X  E  Stationary Stochastic Processes  X  KS KE U W T  1  
FMAN70  6  A  X  E1  Matrix Theory  KS KE U W T  1  2  
FMNN10  8  A  X  E1  Numerical Methods for Differential Equations  KS KE U W T  2  
FMIF10  6  G2    S  Environmental Systems Studies and Sustainable Development  KS KE U T  2  3  
FRTN45  4.5  A    S  Mathematical Modelling, Advanced Course  KS KE U W T  3  
FMAN65  6  A    S  Mathematical Structures  KS KE U W T  3  
EDAF05  5  G2  X  S  Algorithms, Data Structures and Complexity  KS KE U W T  4  
FHLF10  7.5  G2    E1  Finite Element Method and Introduction to Strength of Materials  KS KE U W T  4 
FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04
Study Year 3 (Elective Mandatory Courses)
Course Code  Credits  Cycle  S.Ex. stud.  Language  Course Name  Footnote  Links  21/22 sp1 
21/22 sp2 
21/22 sp3 
21/22 sp4 


EXTG11  4  G2  X  E1  Biological Modelling  KS KE U W T  3  4  
EXTG15  7.5  G2  X  E1  Biology, Introductory Course  KS KE U W T  3  4 
Specialisation bam  Image Analysis and Machine Intelligence
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

EDAF80  7.5  G2  V  4  4  X  E  Computer Graphics  KS KE U W T  1  
FMAN20  7.5  A  V  4  4  X  E1  Image Analysis  KS KE U W T  1  
EDAN20  7.5  A  V  4  4  X  E  Language Technology  KS KE U W T  1  
FMNN01  7.5  A  V  4  4  X  E  Numerical Linear Algebra  KS KE U W T  1  
EXTQ40  7.5  A  V  4  4    E1  Introduction to Artificial Neural Networks and Deep Learning  KS KE U W T  2  
FMSN45  7.5  A  V  4  4  X  E  Mathematical Statistics, Time Series Analysis  X  KS KE U W T  2  
FMAN30  7.5  A  V  4  4  X  E1  Medical Image Analysis  KS KE U W T  2  
FMAN61  7.5  A  V  4  4  X  E1  Optimization  KS KE U W T  2  
FMSN20  7.5  A  V  4  4  X  E  Spatial Statistics with Image Analysis  X  KS KE U W T  2  
EDAP01  7.5  A  V  4  4  X  E  Artificial Intelligence  KS KE U W T  3  
FMAN95  7.5  A  V  4  4  X  E1  Computer Vision  KS KE U W T  3  
FMSN50  7.5  A  V  4  4  X  E  Monte Carlo and Empirical Methods for Stochastic Inference  X  KS KE U W T  3  
FMSN30  7.5  A  V  4  4  X  E  Linear and Logistic Regression  KS KE U W T  4  
FMAN45  7.5  A  V  4  4    E1  Machine Learning  KS KE U W T  4 
FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.
FMSN20 Spatial Statistics with Image Analysis: The course is to be studied together with MASM25
FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.
Specialisation bem  Computational Mechanics
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

FHLN05  7.5  A  V  4  4  X  E  Computational Inelasticity  KS KE U W T  1  
FMEN21  7.5  A  V  4  4  X  E  Continuum Mechanics  KS KE U W T  1  
FHLN20  7.5  A  V  4  4  X  E  Finite Element Method for Nonlinear Systems  KS KE U W T  2  
MMVN10  7.5  A  V  4  4    S  Fluid Mechanics  KS KE U W T  2  
FMEN11  7.5  A  V  4  4  X  E  Mechanical Vibrations  KS KE U W T  2  
FMAN61  7.5  A  V  4  4  X  E1  Optimization  KS KE U W T  2  
MVKN90  7.5  A  V  4  4  X  E  Turbulence  Theory and Modelling  KS KE U W T  2  
FMEN02  7.5  A  V  4  4  X  E  Multibody Dynamics  KS KE U W T  3  
VSMN10  7.5  A  V  4  4  X  E1  Structural Dynamic Computing  KS KE U W T  3  
FHLN01  7.5  A  V  4  4  X  E  Structural Optimization  KS KE U W T  3  
FMAN25  7.5  A  V  4  4  X  E1  Calculus of Variations  KS KE U W T  3  4  
MMVN05  7.5  A  V  4  4  X  E  Numerical Fluid Dynamics and Heat Transfer  KS KE U W T  4  
MVKN70  7.5  A  V  5  4  X  E  Advanced Methods within Numerical Fluid Mechanics and Heat Transfer  KS KE U W T  1 
Specialisation biek  Biological, Ecological and Medical Modelling
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

BMEN05  7.5  A  V  4  4  X  E  Biomechanics  KS KE U W T  1  
FMAN20  7.5  A  V  4  4  X  E1  Image Analysis  KS KE U W T  1  
FMAN15  7.5  A  V  4  4  X  E  Nonlinear Dynamical Systems  KS KE U W T  1  2  
FMSN45  7.5  A  V  4  4  X  E  Mathematical Statistics, Time Series Analysis  X  KS KE U W T  2  
FMAN30  7.5  A  V  4  4  X  E1  Medical Image Analysis  KS KE U W T  2  
FMSN20  7.5  A  V  4  4  X  E  Spatial Statistics with Image Analysis  X  KS KE U W T  2  
BMEN10  7.5  A  V  4  4  X  E  Tissue Biomechanics  KS KE U W T  2  
EXTQ20  7.5  A  V  4  4    E1  Biological Systems  KS KE U W T  3  
EITN65  7.5  A  V  4  4  X  E1  Measurement and Modeling of the Central Nervous System Function  KS KE U W T  3  
FMSN35  7.5  A  V  4  4  X  E  Stationary and Nonstationary Spectral Analysis  X  KS KE U W T  3  
FMAN01  7.5  A  V  4  4  X  E1  Biomathematics  KS KE U W T  3  4  
BMEN01  7.5  A  V  4  4  X  E1  Biomedical Signal Processing  KS KE U W T  4  
FMSF65  7.5  G2  V  4  4  X  E  Design of Experiments  KS KE U W T  4  
FMSN30  7.5  A  V  4  4  X  E  Linear and Logistic Regression  KS KE U W T  4  
FMSN55  7.5  A  V  4  4  X  E  Statistical Modelling of Extreme Values  KS KE U W T  4 
FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.
FMSN20 Spatial Statistics with Image Analysis: The course is to be studied together with MASM25
FMSN35 Stationary and Nonstationary Spectral Analysis: The course is offered every other academic year and will be given in 2021/22, 2023/24.
Specialisation bs  Computation and Simulation
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

FMNN25  7.5  A  V  4  4  X  E1  Advanced Course in Numerical Algorithms with Python/SciPy  KS KE U W T  1  
FMNN01  7.5  A  V  4  4  X  E  Numerical Linear Algebra  KS KE U W T  1  
FMAN80  7.5  A  V  4  4  X  E1  Functional Analysis and Harmonic Analysis  KS KE U W T  1  2  
FMAN15  7.5  A  V  4  4  X  E  Nonlinear Dynamical Systems  KS KE U W T  1  2  
FHLN20  7.5  A  V  4  4  X  E  Finite Element Method for Nonlinear Systems  KS KE U W T  2  
FMAN61  7.5  A  V  4  4  X  E1  Optimization  KS KE U W T  2  
FMAF35  6  G2  V  4  4  X  E1  Linear and Combinatorial Optimization  KS KE U W T  3  
FMSN50  7.5  A  V  4  4  X  E  Monte Carlo and Empirical Methods for Stochastic Inference  X  KS KE U W T  3  
EITN90  7.5  A  V  4  4  X  E  Radar and Remote Sensing  KS KE U W T  3  
FMNN05  7.5  A  V  4  4  X  E1  Simulation Tools  KS KE U W T  3  
FMAN25  7.5  A  V  4  4  X  E1  Calculus of Variations  KS KE U W T  3  4  
VSMN20  7.5  A  V  4  4  X  E1  Software Development for Technical Applications  KS KE U W T  4 
FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.
Specialisation fm  Financial Modelling
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

EXTF45  6  G2  O  4  4    S  Financial Management  KS KE U W T  2  
EXTP50  7.5  A  V  4  4    E  Advanced Microeconomic Analysis  KS KE U W T  1  
EDAN95  7.5  A  V  4  4    E  Applied Machine Learning  KS KE U W T  2  
EXTQ30  7.5  A  V  4  4  X  E  Economics, Empirical Finance  X  KS KE U W T  2  
FMSN60  7.5  A  V  4  4  X  E  Financial Statistics  X  KS KE U W T  2  
FMSN45  7.5  A  V  4  4  X  E  Mathematical Statistics, Time Series Analysis  X  KS KE U W T  2  
FMAN61  7.5  A  V  4  4  X  E1  Optimization  KS KE U W T  2  
FMAN40  3  A  V  4  4  X  E1  Project in Applied Mathematics  KS KE U W T  2  
EXTQ35  7.5  A  V  4  4  X  E  Financial Valuation and Risk Management  X  KS KE U W T  3  
FMSN50  7.5  A  V  4  4  X  E  Monte Carlo and Empirical Methods for Stochastic Inference  X  KS KE U W T  3  
FMAN25  7.5  A  V  4  4  X  E1  Calculus of Variations  KS KE U W T  3  4  
FMSN30  7.5  A  V  4  4  X  E  Linear and Logistic Regression  KS KE U W T  4  
FMAN40  3  A  V  4  4  X  E1  Project in Applied Mathematics  KS KE U W T  4  
FMSN55  7.5  A  V  4  4  X  E  Statistical Modelling of Extreme Values  KS KE U W T  4  
EXTQ25  7.5  A  V  5  4  X  E  Financial Economics, Advanced Course  X  KS KE U W T  1  
FMSN25  7.5  A  V  5  4  X  E  Valuation of Derivative Assets  X  KS KE U W T  1 
EXTQ30 Economics, Empirical Finance: The course is to be studied together with NEKN82, which is given by the Department of Economics. Does not follow the study period structure.
FMSN60 Financial Statistics: The course is to be studied together with MASM18
FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.
EXTQ35 Financial Valuation and Risk Management: The course is to be studied together with NEKN83, which is given by the Department of Economics. Does not follow the study period structure.
FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.
EXTQ25 Financial Economics, Advanced Course: The course is to be studied together with NEKN81, which is given by the Department of Economics. Does not follow the study period structure.
FMSN25 Valuation of Derivative Assets: The course is to be studied together with MASM24
Specialisation pv  Software
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

FMAN10  7.5  A  V  2  2  X  E1  Algebraic Structures  KS KE U W T  3  
EDAP10  7.5  A  V  4  4    S  Concurrent Programming  KS KE U W T  1  
EDAP20  7.5  A  V  4  4  X  E  Intelligent Autonomous Systems  KS KE U W T  1  
EDAN20  7.5  A  V  4  4  X  E  Language Technology  KS KE U W T  1  
EDAN26  7.5  A  V  4  4    S  Multicore Programming  X  KS KE U W T  1  
EDAN95  7.5  A  V  4  4    E  Applied Machine Learning  KS KE U W T  2  
EDAN01  7.5  A  V  4  4  X  E1  Constraint Programming  KS KE U W T  2  
EDIN01  7.5  A  V  4  4  X  E1  Cryptography  KS KE U W T  2  
EDAG01  7.5  G2  V  4  4  X  S  Efficient C  X  KS KE U W T  2  
FMAF35  6  G2  V  4  4  X  E1  Linear and Combinatorial Optimization  KS KE U W T  3  
FMNN05  7.5  A  V  4  4  X  E1  Simulation Tools  KS KE U W T  3  
EDAF75  7.5  G2  V  4  4  X  S  Database Technology  KS KE U W T  3  4  
FRTN01  10  A  V  4  4  X  E  RealTime Systems  KS KE U W T  3  4  
EDAN40  7.5  A  V  4  4  X  E  Functional Programming  KS KE U W T  4  
EDAP15  7.5  A  V  4  4  X  E  Program Analysis  X  KS KE U W T  Course on hold 
EDAN26 Multicore Programming: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAP15 Program Analysis: The course is offered every other academic year and will next be given in 2022/23.
Specialisation ssr  Systems, Signals and Control
Course Code  Credits  Cycle  Mand./ Elect.  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

FRTN55  7.5  A  V  4  4  X  E  Automatic Control, Advanced Course  KS KE U W T  1  
FMSF15  7.5  G2  V  4  4  X  E  Markov Processes  X  KS KE U W T  1  
EITN60  7.5  A  V  4  4  X  E  Optimum and Adaptive Signal Processing  KS KE U W T  1  
FMAN80  7.5  A  V  4  4  X  E1  Functional Analysis and Harmonic Analysis  KS KE U W T  1  2  
FRTN65  7.5  A  V  4  4  X  E  Modelling and Learning from Data  KS KE U W T  1  2  
FMAN15  7.5  A  V  4  4  X  E  Nonlinear Dynamical Systems  KS KE U W T  1  2  
EXTQ40  7.5  A  V  4  4    E1  Introduction to Artificial Neural Networks and Deep Learning  KS KE U W T  2  
FMSN45  7.5  A  V  4  4  X  E  Mathematical Statistics, Time Series Analysis  X  KS KE U W T  2  
FRTN05  7.5  A  V  4  4  X  E  NonLinear Control and Servo Systems  KS KE U W T  2  
FMSN20  7.5  A  V  4  4  X  E  Spatial Statistics with Image Analysis  X  KS KE U W T  2  
FRTN75  7.5  A  V  4  4  X  E  LearningBased Control  X  KS KE U W T  3  
FMSN35  7.5  A  V  4  4  X  E  Stationary and Nonstationary Spectral Analysis  X  KS KE U W T  3  
EITN45  7.5  A  V  4  4  X  E  Information Theory  KS KE U W T  4  
ETIF10  7.5  G2  V  4  4  X  E1  Signal Processing  Design and Implementation  KS KE U W T  4  
FRTN50  7.5  A  V  5  4  X  E  Optimization for Learning  KS KE U W T  1 
FMSF15 Markov Processes: The course is to be studied together with MASC03.
FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.
FMSN20 Spatial Statistics with Image Analysis: The course is to be studied together with MASM25
FMSN35 Stationary and Nonstationary Spectral Analysis: The course is offered every other academic year and will be given in 2021/22, 2023/24.
Elective Courses  Pi
Course Code  Credits  Cycle  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

FMAA60  7.5  G1  1  1    S  Introduction to Real Analysis  KS KE U W T  1  
FMAB75  7.5  G1  1  1  X  E1  Discrete Mathematics  KS KE U W T  2  
FMAB75  4  
EXTA40  6  G1  2  2    S  Introduction to Microeconomic Theory  KS KE U W T  1  
FRTF15  3  G2  2  2    S  Control Theory  KS KE U W T  3  
FMFF30  4.5  G2  2  2    S  Theory of Relativity  KS KE U W T  3  
FMAN71  7.5  A  3  3  X  E1  Matrix Theory  X  KS KE U W T  1  2  
FMAN50  3  A  3  3    E  International Project Course  Mathematical Modelling  X  KS KE U W T  4  
FRTF20  7.5  G2  4  4  X  E  Applied Robotics  KS KE U W T  1  
EDAN65  7.5  A  4  4  X  E1  Compilers  KS KE U W T  1  
EITG05  7.5  G2  4  4  X  E  Digital Communications  KS KE U W T  1  
IYT000  15  G2  4  3    S  Engineering Training Course  KS KE U W  1  
MTTF01  5  G2  4  4    S  Logistics  KS KE U W T  1  
EDAF60  4.5  G2  4  4    S  Objectoriented Modelling and Design  KS KE U W T  1  
FMEN35  7.5  A  4  4  X  E1  Project  Engineering Mechanics  KS KE U W T  1  
EDAN70  7.5  A  4  4  X  E1  Project in Computer Science  X  KS KE U W T  1  
FHLN35  7.5  A  4  4    E1  Project in Solid Mechanics  KS KE U W T  1  
EITF65  9  G2  4  4    S  Design of Digital Circuits  A Systems Approach  KS KE U W T  1  2  
MVKP05  7.5  A  4  4  X  E1  Project  Formula Student  KS KE U W T  1  2  
EDAG05  7.5  G2  4  4    E1  Agile Software Development  Project  KS KE U W T  2  
EXTA65  4.5  G1  4  4    S  Cognition  KS KE U W T  2  
EITF45  7.5  G2  4  4    S  Computer Communication  KS KE U W T  2  
EDAP05  7.5  A  4  4  X  E  Concepts of Programming Languages  X  KS KE U W T  2  
EDAN10  7.5  A  4  4  X  E  Configuration Management  KS KE U W T  2  
EXTN80  7.5  A  4  4  X  E  Economic and Financial Decisionmaking  X  KS KE U W T  2  
IYT000  15  G2  4  3    S  Engineering Training Course  KS KE U W  2  
INNA01  7.5  G1  4  4  X  E  Entrepreneurship  how to Build a Scalable Startup  KS KE U W T  2  
EDAN35  7.5  A  4  4  X  E  High Performance Computer Graphics  KS KE U W T  2  
FAFN35  7.5  A  4  4  X  E  Medical Optics  KS KE U W T  2  
FRTF01  5  G2  4  4  X  E  Physiological Models and Computations  KS KE U W T  2  
FMEN35  7.5  A  4  4  X  E1  Project  Engineering Mechanics  KS KE U W T  2  
FRTN40  7.5  A  4  4  X  E  Project in Automatic Control  KS KE U W T  2  
EDAN70  7.5  A  4  4  X  E1  Project in Computer Science  X  KS KE U W T  2  
FMAN35  3  A  4  2  X  E1  Project in Mathematics  KS KE U W T  2  
FHLN35  7.5  A  4  4    E1  Project in Solid Mechanics  KS KE U W T  2  
VRSN25  7.5  A  4  4    S  Risk Assessment in the Safety Area  KS KE U T  2  
BMEN15  7.5  A  4  4  X  E  Signal Separation  Independent Components  KS KE U W T  2  
FMSF60  7.5  G2  4  4    E1  Statistical Methods for Safety Analysis  KS KE U W T  2  
EITF70  6  G2  4  4    S  Computer Organization  KS KE U W T  3  
EDAP25  7.5  A  4  4  X  E  Distributed Systems  KS KE U T  3  
IYT000  15  G2  4  3    S  Engineering Training Course  KS KE U W  3  
BMEF20  7.5  G2  4  4  X  E  Neuroengineering  KS KE U T  3  
ETIA10  7.5  G1  4  4  X  E  Patent and Intellectual Property Rights  KS KE U W T  3  
FMSF05  7.5  G2  4  4  X  E  Probability Theory  X  KS KE U W T  3  
FMEN35  7.5  A  4  4  X  E1  Project  Engineering Mechanics  KS KE U W T  3  
BMEN20  7.5  A  4  4  X  E1  Project Course in Signal Processing – from Idea to App  KS KE U W T  3  
EDAN70  7.5  A  4  4  X  E1  Project in Computer Science  X  KS KE U W T  3  
FHLN35  7.5  A  4  4    E1  Project in Solid Mechanics  KS KE U W T  3  
MAMN35  7.5  A  4  4    S  Risk Analysis Methods for Health and Environment  KS KE U T  3  
EDAF50  7.5  G2  4  4  X  S  C++ Programming  KS KE U W T  3  4  
FMIN20  7.5  A  4  4    S  Energy Systems Analysis: Renewable Sources of Energy  KS KE U W T  3  4  
FMIN05  7.5  A  4  4  X  E  Environmental System Studies: Climate, Science and Politics  KS KE U W T  3  4  
EITA05  4.5  G1  4  4    S  History of Technology  KS KE U W T  3  4  
MVKP05  7.5  A  4  4  X  E1  Project  Formula Student  KS KE U W T  3  4  
FMAN90  7.5  A  4  4  X  E1  Advanced Course in a Selected Area of Mathematics  KS KE U W T  4  
ETIN85  7.5  A  4  1  X  E  Advanced Cryptography  KS KE U T  4  
EITF90  7.5  G2  4  4    S  Electromagnetics and Electronics  KS KE U W T  4  
IYT000  15  G2  4  3    S  Engineering Training Course  KS KE U W  4  
FHLN25  7.5  A  4  4  X  E  Fracture Mechanics, Advanced Course  KS KE U W T  4  
FMEN25  7.5  A  4  4  X  E1  Nano Mechanics and Multiscale Modelling  X  KS KE U W T  4  
FRTN30  7.5  A  4  4  X  E  Network Dynamics  KS KE U W T  4  
EDAF35  7.5  G2  4  4  X  E1  Operating Systems  KS KE U W T  4  
FMEN35  7.5  A  4  4  X  E1  Project  Engineering Mechanics  KS KE U W T  4  
EDAN70  7.5  A  4  4  X  E1  Project in Computer Science  X  KS KE U W T  4  
FMAN35  3  A  4  2  X  E1  Project in Mathematics  KS KE U W T  4  
FHLN35  7.5  A  4  4    E1  Project in Solid Mechanics  KS KE U W T  4  
FRTN70  7.5  A  4  4  X  E  Project in Systems, Control and Learning  KS KE U W T  4  
EITN95  7.5  A  4  4  X  E1  Simulation  KS KE U W T  4  
BMEN25  7.5  A  5  4  X  E1  Project in Biomedical Engineering  X  KS KE U W T  1  
BMEN25  X  2  
FMSN65  7.5  A  5  5  X  E  Quantitative Risk Management Using Copulas  X  KS KE U W T  2  
BMEN25  7.5  A  5  4  X  E1  Project in Biomedical Engineering  X  KS KE U W T  3  
BMEN25  X  4  
EDAN75  7.5  A  5  4  X  S  Optimising Compilers  X  KS KE U W T  Course on hold 
FMAN50 International Project Course  Mathematical Modelling: Specific application procedure. The course is given in August.
EDAN70 Project in Computer Science: The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.
EDAP05 Concepts of Programming Languages: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EXTN80 Economic and Financial Decisionmaking: The course is to be studied together with NEKN22, which is given by the Department of Economics. Does not follow the study period structure.
FMSF05 Probability Theory: The course is to be studied together with MASC01
FMEN25 Nano Mechanics and Multiscale Modelling: The course is offered every other academic year and will be given in 2021/22, 2023/24.
BMEN25 Project in Biomedical Engineering: The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved.
FMSN65 Quantitative Risk Management Using Copulas: The course replaces FMSN15 Statistical Modelling of Multivariate Extreme Values. The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAN75 Optimising Compilers: The course is offered every other academic year and will next be offered in 2022/23.
Externally Elective Courses  Pi
Course Code  Credits  Cycle  Year  From year  S.Ex. stud.  Language  Course Name  Footnote  Links  sp1  sp2  sp3  sp4  

GEMA20  7.5  G1  4  1    E  English for Engineers  KS KE U W T  1  2  
GEMA25  7.5  G1  4  1    S  German for Engineers  KS KE U W T  1  2  
GEMA65  7.5  G1  4  1    S  Chinese for Engineers  KS KE U W T  3  4  
GEMA20  7.5  G1  4  1    E  English for Engineers  KS KE U W T  3  4  
GEMA01  7.5  G1  4  1    S  French for Engineers: Language, Culture and Society, First Course  KS KE U W T  3  4  
GEMA70  15  G1  4  1    S  Japanese for Engineers  KS KE U W T  3  4 
Bachelor's Projects  Pi
The list contains the bachelor's projects that are included in the Pi programme.
Course Code  Credits  Course Name  Links 

FRTL01  15  Bachelor Project in Automatic Control  KS KE U 
BMEL01  15  Bachelor Project in Biomedical Engineering  KS KE U 
EDAL01  15  Bachelor Project in Computer Science  KS KE U W 
EXTL02  15  Bachelor Project in Ecology  KS KE U 
EITL01  15  Bachelor Project in Electrical and Information Technology  KS KE U W 
FMSL01  15  Bachelor Project in Mathematical Statistics  KS KE U W 
FMAL01  15  Bachelor Project in Mathematics  KS KE U 
FMEL01  15  Bachelor Project in Mechanics  KS KE U 
FMNL01  15  Bachelor Project in Numerical Analysis  KS KE U W 
PHYL01  15  Bachelor Project in Physics  KS KE U 
FHLL01  15  Bachelor Project in Solid Mechanics  KS KE U 
VSML05  15  Bachelor Project in Structural Mechanics  KS KE U 
Degree Projects  Pi
The list contains the degree project courses that are included in the Pi programme.
Course Code  Credits  Course Name  Links 

FRTM01  30  Degree Project in Automatic Control  KS KE U W 
BMEM01  30  Degree Project in Biomedical Engineering  KS KE U W 
EDAM05  30  Degree Project in Computer Sciences for Engineers  KS KE U W 
EXTM20  30  Degree Project in Ecology  KS KE U 
EITM01  30  Degree Project in Electrical and Information Technology  KS KE U W 
FMSM01  30  Degree Project in Mathematical Statistics for Engineers  KS KE U W 
FMAM05  30  Degree Project in Mathematics for Engineers  KS KE U W 
FMEM01  30  Degree Project in Mechanics for Engineers  KS KE U W 
FMNM01  30  Degree Project in Numerical Analysis  KS KE U W 
PHYM01  30  Degree Project in Physics  KS KE U W 
FHLM01  30  Degree Project in Solid Mechanics for Engineers  KS KE U W 
VSMM05  30  Degree Project in Structural Mechanics  KS KE U 