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 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | |||||||||
FMAB65 | 7.5 | G1 | - | S | Calculus in One Variable B1 | KS KE U W T | 50 | 30 | 0 | 0 | 120 | |||||||||||||||||
FMAB20 | 6 | G1 | - | S | Linear Algebra | KS KE U W T | 40 | 16 | 0 | 0 | 106 | |||||||||||||||||
FMAB55 | 5 | G1 | - | S | Mathematical Communication | KS KE U W T | 10 | 8 | 0 | 1 | 17 | 10 | 2 | 0 | 1 | 18 | 4 | 6 | 0 | 4 | 45 | |||||||
FMAB70 | 7.5 | G1 | - | S | Calculus in One Variable B2 | KS KE U W T | 50 | 30 | 0 | 0 | 120 | |||||||||||||||||
EDAA55 | 9 | G1 | - | S | Programming, First Course | KS KE U W T | 30 | 0 | 22 | 0 | 98 | 22 | 0 | 10 | 0 | 62 | ||||||||||||
FMEA35 | 6 | G1 | - | S | Engineering Mechanics I | KS KE U W T | 36 | 28 | 0 | 0 | 96 | |||||||||||||||||
FMAB35 | 7.5 | G1 | - | S | Calculus in Several Variables | KS KE U W T | 38 | 14 | 2 | 0 | 79 | 14 | 8 | 0 | 0 | 45 | ||||||||||||
FMAB40 | 4 | G1 | - | S | Mathematical Modelling | X | KS KE U W T | 6 | 0 | 0 | 3 | 98 | ||||||||||||||||
FAFF40 | 7.5 | G2 | - | S | Waves and Optics | KS KE U T | 40 | 28 | 16 | 0 | 120 |
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 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | |||||||||
FMAF01 | 7 | G2 | - | E1 | Mathematics - Analytic Functions | KS KE U W T | 42 | 24 | 0 | 1 | 128 | |||||||||||||||||
FMSF80 | 9 | G2 | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 2 | 2 | 85 | ||||||||||||
EDAA01 | 7.5 | G1 | - | S | Programming - Second Course | KS KE U W T | 14 | 0 | 6 | 0 | 72 | 14 | 0 | 8 | 0 | 86 | ||||||||||||
FMAF05 | 7 | G2 | - | E1 | Mathematics - Systems and Transforms | KS KE U W T | 40 | 16 | 0 | 1 | 130 | |||||||||||||||||
FRTF05 | 7.5 | G2 | - | S | Automatic Control, Basic Course | KS KE U W T | 30 | 30 | 12 | 0 | 128 | |||||||||||||||||
MIOA12 | 6 | G1 | - | S | Managerial Economics, Basic Course | KS KE U W T | 50 | 12 | 5 | 0 | 93 | |||||||||||||||||
FMAN55 | 7.5 | A | - | S | Applied Mathematics | KS KE U W T | 24 | 12 | 2 | 0 | 62 | 22 | 14 | 2 | 0 | 62 | ||||||||||||
FMAF25 | 3 | G2 | - | S | Mathematical Modelling with Statistical Applications, Project | KS KE U W T | 18 | 0 | 0 | 3 | 59 | |||||||||||||||||
EITG10 | 6 | G2 | - | E1 | Systems, Signals and Discrete Transforms | KS KE U W T | 28 | 28 | 8 | 0 | 96 |
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 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | |||||||||
ETEF01 | 7 | G2 | - | S | Electromagnetic Field Theory | KS KE U W T | 34 | 32 | 0 | 0 | 110 | |||||||||||||||||
FMSF10 | 7.5 | G2 | X | E | Stationary Stochastic Processes | X | KS KE U W T | 22 | 16 | 6 | 0 | 145 | ||||||||||||||||
FMAN70 | 6 | A | X | E1 | Matrix Theory | KS KE U W T | 18 | 10 | 0 | 1 | 56 | 12 | 4 | 0 | 1 | 58 | ||||||||||||
FMNN10 | 8 | A | X | E1 | Numerical Methods for Differential Equations | KS KE U W T | 48 | 0 | 0 | 3 | 160 | |||||||||||||||||
FMIF10 | 6 | G2 | - | S | Environmental Systems Studies and Sustainable Development | KS KE U T | 32 | 6 | 0 | 0 | 68 | 2 | 3 | 0 | 2 | 46 | ||||||||||||
FRTN45 | 4.5 | A | - | S | Mathematical Modelling, Advanced Course | KS KE U W T | 4 | 0 | 0 | 6 | 100 | |||||||||||||||||
FMAN65 | 6 | A | - | S | Mathematical Structures | KS KE U W T | 28 | 14 | 0 | 0 | 118 | |||||||||||||||||
EDAF05 | 5 | G2 | X | S | Algorithms, Data Structures and Complexity | KS KE U W T | 20 | 0 | 12 | 0 | 100 | |||||||||||||||||
FHLF10 | 7.5 | G2 | - | E1 | Finite Element Method and Introduction to Strength of Materials | KS KE U W T | 32 | 28 | 2 | 0 | 140 |
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 |
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | |||||||||
EXTG11 | 4 | G2 | X | E1 | Biological Modelling | KS KE U W T | 6 | 8 | 0 | 0 | 30 | 14 | 16 | 0 | 0 | 30 | ||||||||||||
EXTG15 | 7.5 | G2 | X | E1 | Biology, Introductory Course | KS KE U W T | 16 | 8 | 0 | 0 | 65 | 27 | 20 | 0 | 0 | 65 |
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 | |||||||||||||||||
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
EDAF80 | 7.5 | G2 | V | 4 | 4 | X | E | Computer Graphics | KS KE U W T | 26 | 0 | 10 | 0 | 160 | |||||||||||||||||
FMAN20 | 7.5 | A | V | 4 | 4 | X | E1 | Image Analysis | KS KE U W T | 32 | 0 | 0 | 2 | 166 | |||||||||||||||||
EDAN20 | 7.5 | A | V | 4 | 4 | X | E | Language Technology | KS KE U W T | 20 | 0 | 14 | 0 | 160 | |||||||||||||||||
FMNN01 | 7.5 | A | V | 4 | 4 | X | E | Numerical Linear Algebra | KS KE U W T | 36 | 0 | 0 | 6 | 160 | |||||||||||||||||
EXTQ40 | 7.5 | A | V | 4 | 4 | - | E1 | Introduction to Artificial Neural Networks and Deep Learning | KS KE U W T | 34 | 10 | 30 | 0 | 126 | |||||||||||||||||
FMSN45 | 7.5 | A | V | 4 | 4 | X | E | Mathematical Statistics, Time Series Analysis | X | KS KE U W T | 24 | 12 | 12 | 5 | 120 | ||||||||||||||||
FMAN30 | 7.5 | A | V | 4 | 4 | X | E1 | Medical Image Analysis | KS KE U W T | 32 | 0 | 0 | 3 | 165 | |||||||||||||||||
FMAN61 | 7.5 | A | V | 4 | 4 | X | E1 | Optimization | KS KE U W T | 32 | 14 | 4 | 2 | 148 | |||||||||||||||||
FMSN20 | 7.5 | A | V | 4 | 4 | X | E | Spatial Statistics with Image Analysis | X | KS KE U W T | 26 | 0 | 18 | 5 | 150 | ||||||||||||||||
EDAP01 | 7.5 | A | V | 4 | 4 | X | E | Artificial Intelligence | KS KE U W T | 28 | 0 | 0 | 0 | 170 | |||||||||||||||||
FMAN95 | 7.5 | A | V | 4 | 4 | X | E1 | Computer Vision | KS KE U W T | 32 | 0 | 0 | 2 | 166 | |||||||||||||||||
FMSN50 | 7.5 | A | V | 4 | 4 | X | E | Monte Carlo and Empirical Methods for Stochastic Inference | X | KS KE U W T | 28 | 0 | 12 | 5 | 140 | ||||||||||||||||
FMSN30 | 7.5 | A | V | 4 | 4 | X | E | Linear and Logistic Regression | KS KE U W T | 24 | 0 | 26 | 2 | 120 | |||||||||||||||||
FMAN45 | 7.5 | A | V | 4 | 4 | - | E1 | Machine Learning | KS KE U W T | 28 | 0 | 0 | 2 | 170 |
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 | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
FHLN05 | 7.5 | A | V | 4 | 4 | X | E | Computational Inelasticity | KS KE U W T | 38 | 28 | 4 | 0 | 130 | |||||||||||||||||
FMEN21 | 7.5 | A | V | 4 | 4 | X | E | Continuum Mechanics | KS KE U W T | 42 | 14 | 0 | 2 | 142 | |||||||||||||||||
FHLN20 | 7.5 | A | V | 4 | 4 | X | E | Finite Element Method for Non-linear Systems | KS KE U W T | 28 | 0 | 28 | 0 | 144 | |||||||||||||||||
MMVN10 | 7.5 | A | V | 4 | 4 | - | S | Fluid Mechanics | KS KE U W T | 26 | 46 | 4 | 8 | 116 | |||||||||||||||||
FMEN11 | 7.5 | A | V | 4 | 4 | X | E | Mechanical Vibrations | KS KE U W T | 42 | 14 | 0 | 0 | 144 | |||||||||||||||||
FMAN61 | 7.5 | A | V | 4 | 4 | X | E1 | Optimization | KS KE U W T | 32 | 14 | 4 | 2 | 148 | |||||||||||||||||
MVKN90 | 7.5 | A | V | 4 | 4 | X | E | Turbulence - Theory and Modelling | KS KE U W T | 28 | 26 | 8 | 4 | 134 | |||||||||||||||||
FMEN02 | 7.5 | A | V | 4 | 4 | X | E | Multibody Dynamics | KS KE U W T | 36 | 14 | 0 | 4 | 146 | |||||||||||||||||
VSMN10 | 7.5 | A | V | 4 | 4 | X | E1 | Structural Dynamic Computing | KS KE U W T | 20 | 0 | 8 | 2 | 170 | |||||||||||||||||
FHLN01 | 7.5 | A | V | 4 | 4 | X | E | Structural Optimization | KS KE U W T | 28 | 26 | 2 | 0 | 100 | |||||||||||||||||
FMAN25 | 7.5 | A | V | 4 | 4 | X | E1 | Calculus of Variations | KS KE U W T | 18 | 0 | 0 | 0 | 82 | 16 | 0 | 0 | 0 | 84 | ||||||||||||
MMVN05 | 7.5 | A | V | 4 | 4 | X | E | Numerical Fluid Dynamics and Heat Transfer | KS KE U W T | 28 | 24 | 10 | 4 | 134 | |||||||||||||||||
MVKN70 | 7.5 | A | V | 5 | 4 | X | E | Advanced Methods within Numerical Fluid Mechanics and Heat Transfer | KS KE U W T | 28 | 24 | 10 | 4 | 134 |
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 | |||||||||||||||||
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
BMEN05 | 7.5 | A | V | 4 | 4 | X | E | Biomechanics | KS KE U W T | 32 | 8 | 0 | 10 | 110 | |||||||||||||||||
FMAN20 | 7.5 | A | V | 4 | 4 | X | E1 | Image Analysis | KS KE U W T | 32 | 0 | 0 | 2 | 166 | |||||||||||||||||
FMAN15 | 7.5 | A | V | 4 | 4 | X | E | Nonlinear Dynamical Systems | KS KE U W T | 16 | 6 | 0 | 0 | 78 | 14 | 8 | 0 | 0 | 78 | ||||||||||||
FMSN45 | 7.5 | A | V | 4 | 4 | X | E | Mathematical Statistics, Time Series Analysis | X | KS KE U W T | 24 | 12 | 12 | 5 | 120 | ||||||||||||||||
FMAN30 | 7.5 | A | V | 4 | 4 | X | E1 | Medical Image Analysis | KS KE U W T | 32 | 0 | 0 | 3 | 165 | |||||||||||||||||
FMSN20 | 7.5 | A | V | 4 | 4 | X | E | Spatial Statistics with Image Analysis | X | KS KE U W T | 26 | 0 | 18 | 5 | 150 | ||||||||||||||||
BMEN10 | 7.5 | A | V | 4 | 4 | X | E | Tissue Biomechanics | KS KE U W T | 24 | 0 | 20 | 0 | 100 | |||||||||||||||||
EXTQ20 | 7.5 | A | V | 4 | 4 | - | E1 | Biological Systems | KS KE U W T | 40 | 10 | 20 | 0 | 130 | |||||||||||||||||
EITN65 | 7.5 | A | V | 4 | 4 | X | E1 | Measurement and Modeling of the Central Nervous System Function | KS KE U W T | 24 | 0 | 0 | 6 | 170 | |||||||||||||||||
FMSN35 | 7.5 | A | V | 4 | 4 | X | E | Stationary and Non-stationary Spectral Analysis | X | KS KE U W T | 18 | 0 | 0 | 5 | 170 | ||||||||||||||||
FMAN01 | 7.5 | A | V | 4 | 4 | X | E1 | Biomathematics | KS KE U W T | 14 | 6 | 0 | 1 | 79 | 14 | 6 | 0 | 1 | 79 | ||||||||||||
BMEN01 | 7.5 | A | V | 4 | 4 | X | E1 | Biomedical Signal Processing | KS KE U W T | 14 | 14 | 0 | 7 | 165 | |||||||||||||||||
FMSF65 | 7.5 | G2 | V | 4 | 4 | X | E | Design of Experiments | KS KE U W T | 14 | 14 | 14 | 1 | 150 | |||||||||||||||||
FMSN30 | 7.5 | A | V | 4 | 4 | X | E | Linear and Logistic Regression | KS KE U W T | 24 | 0 | 26 | 2 | 120 | |||||||||||||||||
FMSN55 | 7.5 | A | V | 4 | 4 | X | E | Statistical Modelling of Extreme Values | KS KE U W T | 28 | 14 | 9 | 1 | 120 |
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 Non-stationary 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 | |||||||||||||||||
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
FMNN25 | 7.5 | A | V | 4 | 4 | X | E1 | Advanced Course in Numerical Algorithms with Python/SciPy | KS KE U W T | 28 | 0 | 0 | 3 | 169 | |||||||||||||||||
FMNN01 | 7.5 | A | V | 4 | 4 | X | E | Numerical Linear Algebra | KS KE U W T | 36 | 0 | 0 | 6 | 160 | |||||||||||||||||
FMAN80 | 7.5 | A | V | 4 | 4 | X | E1 | Functional Analysis and Harmonic Analysis | KS KE U W T | 20 | 10 | 0 | 0 | 108 | 8 | 4 | 0 | 0 | 50 | ||||||||||||
FMAN15 | 7.5 | A | V | 4 | 4 | X | E | Nonlinear Dynamical Systems | KS KE U W T | 16 | 6 | 0 | 0 | 78 | 14 | 8 | 0 | 0 | 78 | ||||||||||||
FHLN20 | 7.5 | A | V | 4 | 4 | X | E | Finite Element Method for Non-linear Systems | KS KE U W T | 28 | 0 | 28 | 0 | 144 | |||||||||||||||||
FMAN61 | 7.5 | A | V | 4 | 4 | X | E1 | Optimization | KS KE U W T | 32 | 14 | 4 | 2 | 148 | |||||||||||||||||
FMAF35 | 6 | G2 | V | 4 | 4 | X | E1 | Linear and Combinatorial Optimization | KS KE U W T | 26 | 0 | 4 | 1 | 130 | |||||||||||||||||
FMSN50 | 7.5 | A | V | 4 | 4 | X | E | Monte Carlo and Empirical Methods for Stochastic Inference | X | KS KE U W T | 28 | 0 | 12 | 5 | 140 | ||||||||||||||||
EITN90 | 7.5 | A | V | 4 | 4 | X | E | Radar and Remote Sensing | KS KE U W T | 28 | 8 | 12 | 5 | 147 | |||||||||||||||||
FMNN05 | 7.5 | A | V | 4 | 4 | X | E1 | Simulation Tools | KS KE U W T | 28 | 0 | 0 | 3 | 169 | |||||||||||||||||
FMAN25 | 7.5 | A | V | 4 | 4 | X | E1 | Calculus of Variations | KS KE U W T | 18 | 0 | 0 | 0 | 82 | 16 | 0 | 0 | 0 | 84 | ||||||||||||
VSMN20 | 7.5 | A | V | 4 | 4 | X | E1 | Software Development for Technical Applications | KS KE U W T | 16 | 32 | 0 | 0 | 152 |
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 | |||||||||||||||||
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
EXTF45 | 6 | G2 | O | 4 | 4 | - | S | Financial Management | KS KE U W T | 32 | 10 | 6 | 0 | 110 | |||||||||||||||||
EXTP50 | 7.5 | A | V | 4 | 4 | - | E | Advanced Microeconomic Analysis | KS KE U W T | 32 | 10 | 0 | 0 | 120 | |||||||||||||||||
EDAN95 | 7.5 | A | V | 4 | 4 | - | E | Applied Machine Learning | KS KE U W T | 28 | 0 | 14 | 0 | 156 | |||||||||||||||||
EXTQ30 | 7.5 | A | V | 4 | 4 | X | E | Economics, Empirical Finance | X | KS KE U W T | 34 | 8 | 0 | 0 | 100 | ||||||||||||||||
FMSN60 | 7.5 | A | V | 4 | 4 | X | E | Financial Statistics | X | KS KE U W T | 28 | 14 | 16 | 5 | 130 | ||||||||||||||||
FMSN45 | 7.5 | A | V | 4 | 4 | X | E | Mathematical Statistics, Time Series Analysis | X | KS KE U W T | 24 | 12 | 12 | 5 | 120 | ||||||||||||||||
FMAN61 | 7.5 | A | V | 4 | 4 | X | E1 | Optimization | KS KE U W T | 32 | 14 | 4 | 2 | 148 | |||||||||||||||||
FMAN40 | 3 | A | V | 4 | 4 | X | E1 | Project in Applied Mathematics | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
EXTQ35 | 7.5 | A | V | 4 | 4 | X | E | Financial Valuation and Risk Management | X | KS KE U W T | 40 | 0 | 4 | 0 | 150 | ||||||||||||||||
FMSN50 | 7.5 | A | V | 4 | 4 | X | E | Monte Carlo and Empirical Methods for Stochastic Inference | X | KS KE U W T | 28 | 0 | 12 | 5 | 140 | ||||||||||||||||
FMAN25 | 7.5 | A | V | 4 | 4 | X | E1 | Calculus of Variations | KS KE U W T | 18 | 0 | 0 | 0 | 82 | 16 | 0 | 0 | 0 | 84 | ||||||||||||
FMSN30 | 7.5 | A | V | 4 | 4 | X | E | Linear and Logistic Regression | KS KE U W T | 24 | 0 | 26 | 2 | 120 | |||||||||||||||||
FMAN40 | 3 | A | V | 4 | 4 | X | E1 | Project in Applied Mathematics | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMSN55 | 7.5 | A | V | 4 | 4 | X | E | Statistical Modelling of Extreme Values | KS KE U W T | 28 | 14 | 9 | 1 | 120 | |||||||||||||||||
EXTQ25 | 7.5 | A | V | 5 | 4 | X | E | Financial Economics, Advanced Course | X | KS KE U W T | 40 | 0 | 0 | 0 | 155 | ||||||||||||||||
FMSN25 | 7.5 | A | V | 5 | 4 | X | E | Valuation of Derivative Assets | X | KS KE U W T | 30 | 26 | 6 | 1 | 130 |
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 | |||||||||||||||||
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F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
FMAN10 | 7.5 | A | V | 2 | 2 | X | E1 | Algebraic Structures | KS KE U W T | 28 | 10 | 0 | 0 | 162 | |||||||||||||||||
EDAP10 | 7.5 | A | V | 4 | 4 | - | S | Concurrent Programming | KS KE U W T | 28 | 0 | 12 | 0 | 160 | |||||||||||||||||
EDAP20 | 7.5 | A | V | 4 | 4 | X | E | Intelligent Autonomous Systems | KS KE U W T | 24 | 0 | 30 | 0 | 144 | |||||||||||||||||
EDAN20 | 7.5 | A | V | 4 | 4 | X | E | Language Technology | KS KE U W T | 20 | 0 | 14 | 0 | 160 | |||||||||||||||||
EDAN26 | 7.5 | A | V | 4 | 4 | - | S | Multicore Programming | X | KS KE U W T | 24 | 0 | 12 | 0 | 150 | ||||||||||||||||
EDAN95 | 7.5 | A | V | 4 | 4 | - | E | Applied Machine Learning | KS KE U W T | 28 | 0 | 14 | 0 | 156 | |||||||||||||||||
EDAN01 | 7.5 | A | V | 4 | 4 | X | E1 | Constraint Programming | KS KE U W T | 20 | 0 | 12 | 0 | 160 | |||||||||||||||||
EDIN01 | 7.5 | A | V | 4 | 4 | X | E1 | Cryptography | KS KE U W T | 36 | 14 | 0 | 2 | 148 | |||||||||||||||||
EDAG01 | 7.5 | G2 | V | 4 | 4 | X | S | Efficient C | X | KS KE U W T | 28 | 12 | 12 | 0 | 148 | ||||||||||||||||
FMAF35 | 6 | G2 | V | 4 | 4 | X | E1 | Linear and Combinatorial Optimization | KS KE U W T | 26 | 0 | 4 | 1 | 130 | |||||||||||||||||
FMNN05 | 7.5 | A | V | 4 | 4 | X | E1 | Simulation Tools | KS KE U W T | 28 | 0 | 0 | 3 | 169 | |||||||||||||||||
EDAF75 | 7.5 | G2 | V | 4 | 4 | X | S | Database Technology | KS KE U W T | 24 | 2 | 8 | 0 | 112 | 0 | 0 | 0 | 0 | 50 | ||||||||||||
FRTN01 | 10 | A | V | 4 | 4 | X | E | Real-Time Systems | KS KE U W T | 34 | 22 | 12 | 0 | 132 | 0 | 0 | 0 | 12 | 54 | ||||||||||||
EDAN40 | 7.5 | A | V | 4 | 4 | X | E | Functional Programming | KS KE U W T | 28 | 6 | 0 | 0 | 166 | |||||||||||||||||
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 | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | ||||||||||||
FRTN55 | 7.5 | A | V | 4 | 4 | X | E | Automatic Control, Advanced Course | KS KE U W T | 30 | 28 | 12 | 0 | 130 | |||||||||||||||||
FMSF15 | 7.5 | G2 | V | 4 | 4 | X | E | Markov Processes | X | KS KE U W T | 26 | 16 | 6 | 0 | 140 | ||||||||||||||||
EITN60 | 7.5 | A | V | 4 | 4 | X | E | Optimum and Adaptive Signal Processing | KS KE U W T | 16 | 28 | 8 | 0 | 148 | |||||||||||||||||
FMAN80 | 7.5 | A | V | 4 | 4 | X | E1 | Functional Analysis and Harmonic Analysis | KS KE U W T | 20 | 10 | 0 | 0 | 108 | 8 | 4 | 0 | 0 | 50 | ||||||||||||
FRTN65 | 7.5 | A | V | 4 | 4 | X | E | Modelling and Learning from Data | KS KE U W T | 16 | 10 | 4 | 0 | 70 | 14 | 10 | 8 | 0 | 68 | ||||||||||||
FMAN15 | 7.5 | A | V | 4 | 4 | X | E | Nonlinear Dynamical Systems | KS KE U W T | 16 | 6 | 0 | 0 | 78 | 14 | 8 | 0 | 0 | 78 | ||||||||||||
EXTQ40 | 7.5 | A | V | 4 | 4 | - | E1 | Introduction to Artificial Neural Networks and Deep Learning | KS KE U W T | 34 | 10 | 30 | 0 | 126 | |||||||||||||||||
FMSN45 | 7.5 | A | V | 4 | 4 | X | E | Mathematical Statistics, Time Series Analysis | X | KS KE U W T | 24 | 12 | 12 | 5 | 120 | ||||||||||||||||
FRTN05 | 7.5 | A | V | 4 | 4 | X | E | Non-Linear Control and Servo Systems | KS KE U W T | 28 | 28 | 12 | 0 | 130 | |||||||||||||||||
FMSN20 | 7.5 | A | V | 4 | 4 | X | E | Spatial Statistics with Image Analysis | X | KS KE U W T | 26 | 0 | 18 | 5 | 150 | ||||||||||||||||
FRTN75 | 7.5 | A | V | 4 | 4 | X | E | Learning-Based Control | X | KS KE U W T | 28 | 28 | 12 | 0 | 130 | ||||||||||||||||
FMSN35 | 7.5 | A | V | 4 | 4 | X | E | Stationary and Non-stationary Spectral Analysis | X | KS KE U W T | 18 | 0 | 0 | 5 | 170 | ||||||||||||||||
EITN45 | 7.5 | A | V | 4 | 4 | X | E | Information Theory | KS KE U W T | 26 | 14 | 0 | 0 | 160 | |||||||||||||||||
ETIF10 | 7.5 | G2 | V | 4 | 4 | X | E1 | Signal Processing - Design and Implementation | KS KE U W T | 22 | 22 | 8 | 0 | 148 | |||||||||||||||||
FRTN50 | 7.5 | A | V | 5 | 4 | X | E | Optimization for Learning | KS KE U W T | 28 | 28 | 0 | 10 | 130 |
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 Non-stationary 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 | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | |||||||||||
FMAA60 | 7.5 | G1 | 1 | 1 | - | S | Introduction to Real Analysis | KS KE U W T | 26 | 0 | 0 | 0 | 174 | |||||||||||||||||
FMAB75 | 7.5 | G1 | 1 | 1 | X | E1 | Discrete Mathematics | KS KE U W T | 54 | 0 | 0 | 2 | 144 | |||||||||||||||||
FMAB75 | 54 | 0 | 0 | 2 | 144 | |||||||||||||||||||||||||
EXTA40 | 6 | G1 | 2 | 2 | - | S | Introduction to Microeconomic Theory | KS KE U W T | 38 | 14 | 0 | 0 | 100 | |||||||||||||||||
FRTF15 | 3 | G2 | 2 | 2 | - | S | Control Theory | KS KE U W T | 12 | 12 | 0 | 12 | 44 | |||||||||||||||||
FMFF30 | 4.5 | G2 | 2 | 2 | - | S | Theory of Relativity | KS KE U W T | 21 | 21 | 0 | 0 | 78 | |||||||||||||||||
FMAN71 | 7.5 | A | 3 | 3 | X | E1 | Matrix Theory | X | KS KE U W T | 18 | 10 | 0 | 1 | 56 | 18 | 6 | 0 | 1 | 90 | |||||||||||
FMAN50 | 3 | A | 3 | 3 | - | E | International Project Course - Mathematical Modelling | X | KS KE U W T | 0 | 0 | 0 | 10 | 40 | ||||||||||||||||
FRTF20 | 7.5 | G2 | 4 | 4 | X | E | Applied Robotics | KS KE U W T | 28 | 22 | 8 | 20 | 100 | |||||||||||||||||
EDAN65 | 7.5 | A | 4 | 4 | X | E1 | Compilers | KS KE U W T | 28 | 0 | 12 | 0 | 160 | |||||||||||||||||
EITG05 | 7.5 | G2 | 4 | 4 | X | E | Digital Communications | KS KE U W T | 24 | 28 | 4 | 0 | 144 | |||||||||||||||||
IYT000 | 15 | G2 | 4 | 3 | - | S | Engineering Training Course | KS KE U W | 0 | 0 | 0 | 0 | 400 | |||||||||||||||||
MTTF01 | 5 | G2 | 4 | 4 | - | S | Logistics | KS KE U W T | 24 | 8 | 2 | 0 | 86 | |||||||||||||||||
EDAF60 | 4.5 | G2 | 4 | 4 | - | S | Object-oriented Modelling and Design | KS KE U W T | 14 | 10 | 0 | 2 | 94 | |||||||||||||||||
FMEN35 | 7.5 | A | 4 | 4 | X | E1 | Project - Engineering Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
EDAN70 | 7.5 | A | 4 | 4 | X | E1 | Project in Computer Science | X | KS KE U W T | 2 | 4 | 0 | 12 | 182 | ||||||||||||||||
FHLN35 | 7.5 | A | 4 | 4 | - | E1 | Project in Solid Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
EITF65 | 9 | G2 | 4 | 4 | - | S | Design of Digital Circuits - A Systems Approach | KS KE U W T | 28 | 28 | 12 | 0 | 71 | 10 | 14 | 12 | 0 | 63 | ||||||||||||
MVKP05 | 7.5 | A | 4 | 4 | X | E1 | Project - Formula Student | KS KE U W T | 0 | 0 | 0 | 25 | 75 | 0 | 0 | 0 | 25 | 75 | ||||||||||||
EDAG05 | 7.5 | G2 | 4 | 4 | - | E1 | Agile Software Development - Project | KS KE U W T | 16 | 12 | 48 | 0 | 124 | |||||||||||||||||
EXTA65 | 4.5 | G1 | 4 | 4 | - | S | Cognition | KS KE U W T | 20 | 12 | 0 | 0 | 84 | |||||||||||||||||
EITF45 | 7.5 | G2 | 4 | 4 | - | S | Computer Communication | KS KE U W T | 18 | 16 | 8 | 2 | 156 | |||||||||||||||||
EDAP05 | 7.5 | A | 4 | 4 | X | E | Concepts of Programming Languages | X | KS KE U W T | 28 | 0 | 12 | 0 | 160 | ||||||||||||||||
EDAN10 | 7.5 | A | 4 | 4 | X | E | Configuration Management | KS KE U W T | 28 | 14 | 12 | 2 | 144 | |||||||||||||||||
EXTN80 | 7.5 | A | 4 | 4 | X | E | Economic and Financial Decision-making | X | KS KE U W T | 30 | 10 | 0 | 0 | 110 | ||||||||||||||||
IYT000 | 15 | G2 | 4 | 3 | - | S | Engineering Training Course | KS KE U W | 0 | 0 | 0 | 0 | 400 | |||||||||||||||||
INNA01 | 7.5 | G1 | 4 | 4 | X | E | Entrepreneurship - how to Build a Scalable Start-up | KS KE U W T | 20 | 42 | 0 | 0 | 145 | |||||||||||||||||
EDAN35 | 7.5 | A | 4 | 4 | X | E | High Performance Computer Graphics | KS KE U W T | 28 | 0 | 12 | 0 | 160 | |||||||||||||||||
FAFN35 | 7.5 | A | 4 | 4 | X | E | Medical Optics | KS KE U W T | 24 | 15 | 8 | 40 | 110 | |||||||||||||||||
FRTF01 | 5 | G2 | 4 | 4 | X | E | Physiological Models and Computations | KS KE U W T | 20 | 20 | 0 | 20 | 70 | |||||||||||||||||
FMEN35 | 7.5 | A | 4 | 4 | X | E1 | Project - Engineering Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
FRTN40 | 7.5 | A | 4 | 4 | X | E | Project in Automatic Control | KS KE U W T | 0 | 0 | 0 | 40 | 160 | |||||||||||||||||
EDAN70 | 7.5 | A | 4 | 4 | X | E1 | Project in Computer Science | X | KS KE U W T | 2 | 4 | 0 | 12 | 182 | ||||||||||||||||
FMAN35 | 3 | A | 4 | 2 | X | E1 | Project in Mathematics | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FHLN35 | 7.5 | A | 4 | 4 | - | E1 | Project in Solid Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
VRSN25 | 7.5 | A | 4 | 4 | - | S | Risk Assessment in the Safety Area | KS KE U T | 32 | 20 | 0 | 2 | 146 | |||||||||||||||||
BMEN15 | 7.5 | A | 4 | 4 | X | E | Signal Separation - Independent Components | KS KE U W T | 14 | 28 | 8 | 0 | 150 | |||||||||||||||||
FMSF60 | 7.5 | G2 | 4 | 4 | - | E1 | Statistical Methods for Safety Analysis | KS KE U W T | 28 | 14 | 12 | 0 | 120 | |||||||||||||||||
EITF70 | 6 | G2 | 4 | 4 | - | S | Computer Organization | KS KE U W T | 14 | 8 | 16 | 0 | 122 | |||||||||||||||||
EDAP25 | 7.5 | A | 4 | 4 | X | E | Distributed Systems | KS KE U T | 28 | 8 | 8 | 0 | 156 | |||||||||||||||||
IYT000 | 15 | G2 | 4 | 3 | - | S | Engineering Training Course | KS KE U W | 0 | 0 | 0 | 0 | 400 | |||||||||||||||||
BMEF20 | 7.5 | G2 | 4 | 4 | X | E | Neuroengineering | KS KE U T | 28 | 0 | 12 | 2 | 158 | |||||||||||||||||
ETIA10 | 7.5 | G1 | 4 | 4 | X | E | Patent and Intellectual Property Rights | KS KE U W T | 28 | 6 | 3 | 0 | 160 | |||||||||||||||||
FMSF05 | 7.5 | G2 | 4 | 4 | X | E | Probability Theory | X | KS KE U W T | 26 | 14 | 0 | 0 | 160 | ||||||||||||||||
FMEN35 | 7.5 | A | 4 | 4 | X | E1 | Project - Engineering Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
BMEN20 | 7.5 | A | 4 | 4 | X | E1 | Project Course in Signal Processing – from Idea to App | KS KE U W T | 8 | 0 | 12 | 8 | 172 | |||||||||||||||||
EDAN70 | 7.5 | A | 4 | 4 | X | E1 | Project in Computer Science | X | KS KE U W T | 2 | 4 | 0 | 12 | 182 | ||||||||||||||||
FHLN35 | 7.5 | A | 4 | 4 | - | E1 | Project in Solid Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
MAMN35 | 7.5 | A | 4 | 4 | - | S | Risk Analysis Methods for Health and Environment | KS KE U T | 24 | 12 | 16 | 2 | 146 | |||||||||||||||||
EDAF50 | 7.5 | G2 | 4 | 4 | X | S | C++ Programming | KS KE U W T | 24 | 0 | 8 | 0 | 100 | 0 | 0 | 0 | 0 | 60 | ||||||||||||
FMIN20 | 7.5 | A | 4 | 4 | - | S | Energy Systems Analysis: Renewable Sources of Energy | KS KE U W T | 28 | 12 | 0 | 1 | 92 | 14 | 4 | 0 | 1 | 48 | ||||||||||||
FMIN05 | 7.5 | A | 4 | 4 | X | E | Environmental System Studies: Climate, Science and Politics | KS KE U W T | 14 | 6 | 0 | 0 | 80 | 16 | 4 | 0 | 0 | 80 | ||||||||||||
EITA05 | 4.5 | G1 | 4 | 4 | - | S | History of Technology | KS KE U W T | 14 | 3 | 0 | 0 | 40 | 16 | 4 | 0 | 0 | 40 | ||||||||||||
MVKP05 | 7.5 | A | 4 | 4 | X | E1 | Project - Formula Student | KS KE U W T | 0 | 0 | 0 | 25 | 75 | 0 | 0 | 0 | 25 | 75 | ||||||||||||
FMAN90 | 7.5 | A | 4 | 4 | X | E1 | Advanced Course in a Selected Area of Mathematics | KS KE U W T | 28 | 0 | 0 | 1 | 171 | |||||||||||||||||
ETIN85 | 7.5 | A | 4 | 1 | X | E | Advanced Cryptography | KS KE U T | 28 | 14 | 0 | 2 | 156 | |||||||||||||||||
EITF90 | 7.5 | G2 | 4 | 4 | - | S | Electromagnetics and Electronics | KS KE U W T | 34 | 28 | 4 | 0 | 134 | |||||||||||||||||
IYT000 | 15 | G2 | 4 | 3 | - | S | Engineering Training Course | KS KE U W | 0 | 0 | 0 | 0 | 400 | |||||||||||||||||
FHLN25 | 7.5 | A | 4 | 4 | X | E | Fracture Mechanics, Advanced Course | KS KE U W T | 28 | 28 | 0 | 0 | 144 | |||||||||||||||||
FMEN25 | 7.5 | A | 4 | 4 | X | E1 | Nano Mechanics and Multiscale Modelling | X | KS KE U W T | 24 | 0 | 0 | 8 | 168 | ||||||||||||||||
FRTN30 | 7.5 | A | 4 | 4 | X | E | Network Dynamics | KS KE U W T | 28 | 28 | 16 | 0 | 130 | |||||||||||||||||
EDAF35 | 7.5 | G2 | 4 | 4 | X | E1 | Operating Systems | KS KE U W T | 24 | 0 | 8 | 0 | 168 | |||||||||||||||||
FMEN35 | 7.5 | A | 4 | 4 | X | E1 | Project - Engineering Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
EDAN70 | 7.5 | A | 4 | 4 | X | E1 | Project in Computer Science | X | KS KE U W T | 2 | 4 | 0 | 12 | 182 | ||||||||||||||||
FMAN35 | 3 | A | 4 | 2 | X | E1 | Project in Mathematics | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FHLN35 | 7.5 | A | 4 | 4 | - | E1 | Project in Solid Mechanics | KS KE U W T | 0 | 0 | 0 | 20 | 180 | |||||||||||||||||
FRTN70 | 7.5 | A | 4 | 4 | X | E | Project in Systems, Control and Learning | KS KE U W T | 0 | 0 | 0 | 40 | 160 | |||||||||||||||||
EITN95 | 7.5 | A | 4 | 4 | X | E1 | Simulation | KS KE U W T | 18 | 0 | 6 | 4 | 172 | |||||||||||||||||
BMEN25 | 7.5 | A | 5 | 4 | X | E1 | Project in Biomedical Engineering | X | KS KE U W T | 0 | 0 | 0 | 10 | 190 | ||||||||||||||||
BMEN25 | X | 0 | 0 | 0 | 10 | 190 | ||||||||||||||||||||||||
FMSN65 | 7.5 | A | 5 | 5 | X | E | Quantitative Risk Management Using Copulas | X | KS KE U W T | 28 | 14 | 9 | 1 | 120 | ||||||||||||||||
BMEN25 | 7.5 | A | 5 | 4 | X | E1 | Project in Biomedical Engineering | X | KS KE U W T | 0 | 0 | 0 | 10 | 190 | ||||||||||||||||
BMEN25 | X | 0 | 0 | 0 | 10 | 190 | ||||||||||||||||||||||||
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 Decision-making: 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 | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | F | O | L | H | S | |||||||||||
GEMA20 | 7.5 | G1 | 4 | 1 | - | E | English for Engineers | KS KE U W T | 30 | 0 | 0 | 0 | 70 | 20 | 0 | 0 | 0 | 80 | ||||||||||||
GEMA25 | 7.5 | G1 | 4 | 1 | - | S | German for Engineers | KS KE U W T | 0 | 40 | 0 | 0 | 60 | 0 | 40 | 0 | 0 | 60 | ||||||||||||
GEMA65 | 7.5 | G1 | 4 | 1 | - | S | Chinese for Engineers | KS KE U W T | 0 | 20 | 0 | 0 | 80 | 0 | 20 | 0 | 0 | 80 | ||||||||||||
GEMA20 | 7.5 | G1 | 4 | 1 | - | E | English for Engineers | KS KE U W T | 30 | 0 | 0 | 0 | 70 | 20 | 0 | 0 | 0 | 80 | ||||||||||||
GEMA01 | 7.5 | G1 | 4 | 1 | - | S | French for Engineers: Language, Culture and Society, First Course | KS KE U W T | 0 | 26 | 0 | 0 | 74 | 0 | 26 | 0 | 0 | 74 | ||||||||||||
GEMA70 | 15 | G1 | 4 | 1 | - | S | Japanese for Engineers | KS KE U W T | 0 | 34 | 0 | 0 | 165 | 0 | 32 | 0 | 0 | 165 |
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 |