Courses given 2012/13 by Centre of Mathematical Sciences
◄ 12/13 ►
Mathematical Statistics
Course Code | Credits | Cycle | Programme | S.Ex. stud. | Language | Course Name | Footnote | Links | 12/13 sp1 |
12/13 sp2 |
12/13 sp3 |
12/13 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 | ||||||||||
FMSF15 | 7.5 | G2 | C, D, E, F, I, Pi | X | E1 | Markov Processes | KS KE U W T | 28 | 28 | 6 | 0 | 120 | |||||||||||||||||
FMS086 | 7.5 | G2 | B, K, N | - | S | Mathematical Statistics | KS KE U W T | 28 | 22 | 18 | 1 | 120 | |||||||||||||||||
FMS140 | 7.5 | G2 | W | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 14 | 28 | 28 | 1 | 120 | |||||||||||||||||
FMSN20 | 7.5 | A | C, D, E, F, Pi | X | E1 | Spatial Statistics with Image Analysis | KS KE U W T | 28 | 0 | 21 | 4 | 120 | |||||||||||||||||
FMSF10 | 7.5 | G2 | C, D, E, F, I, L, M, MWIR | X | E1 | Stationary Stochastic Processes | X | KS KE U W T | 28 | 28 | 6 | 0 | 120 | ||||||||||||||||
FMS065 | 7.5 | G2 | C, Pi, RH | - | E2 | Statistical Methods for Safety Analysis | KS KE U W T | 28 | 14 | 12 | 0 | 120 | |||||||||||||||||
FMSN25 | 7.5 | A | F, I, Pi | X | E1 | Valuation of Derivative Assets | KS KE U W T | 28 | 28 | 6 | 1 | 120 | |||||||||||||||||
FMS012 | 9 | G2 | I | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 18 | 14 | 6 | 0 | 85 | 18 | 14 | 6 | 0 | 85 | ||||||||||||
FMS012 | C, D | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 6 | 0 | 85 | ||||||||||||||||||
FMS012 | E | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 6 | 0 | 85 | ||||||||||||||||||
FMS012 | Pi | 18 | 14 | 4 | 0 | 72 | 18 | 14 | 6 | 0 | 98 | ||||||||||||||||||
FMS012 | F | 18 | 14 | 4 | 0 | 85 | 18 | 14 | 6 | 0 | 85 | ||||||||||||||||||
FMS110 | 7.5 | A | D, F, Pi | X | E1 | Non-Linear Time Series Analysis | KS KE U W T | 16 | 4 | 8 | 0 | 60 | 16 | 4 | 8 | 3 | 60 | ||||||||||||
FMS161 | 7.5 | A | F, I, Pi | X | E1 | Financial Statistics | KS KE U W T | 28 | 14 | 14 | 5 | 120 | |||||||||||||||||
FMSF01 | 3 | G2 | V | - | S | Mathematical Statistics | X | KS KE U W T | 0 | 0 | 12 | 1 | 50 | ||||||||||||||||
FMS032 | 7.5 | G2 | L, V | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 28 | 28 | 12 | 0 | 120 | |||||||||||||||||
FMS051 | 7.5 | A | C, D, E, F, I, Pi | X | E2 | Mathematical Statistics, Time Series Analysis | KS KE U W T | 26 | 12 | 12 | 5 | 120 | |||||||||||||||||
FMSN15 | 7.5 | A | F, Pi | X | E1 | Statistical Modelling of Multivariate Extreme Values | KS KE U W T | 28 | 14 | 9 | 1 | 120 | |||||||||||||||||
FMSN10 | 7.5 | A | F, Pi | X | E1 | Survival Analysis | KS KE U W T | 28 | 14 | 8 | 1 | 100 | |||||||||||||||||
FMSN30 | 7.5 | A | D, F, L, M, Pi | X | E1 | Linear and Logistic Regression | KS KE U W T | 28 | 14 | 14 | 2 | 120 | |||||||||||||||||
FMS091 | 7.5 | A | D, F, I, Pi | X | E2 | Monte Carlo and Empirical Methods for Stochastic Inference | KS KE U W T | 26 | 0 | 14 | 5 | 120 | |||||||||||||||||
FMSF05 | 7.5 | G2 | F, I, Pi | X | E2 | Probability Theory | KS KE U W T | 22 | 14 | 0 | 0 | 160 | |||||||||||||||||
FMSN35 | 7.5 | A | C, D, E, F, I, Pi | X | E2 | Stationary and Non-stationary Spectral Analysis | KS KE U W T | 18 | 6 | 6 | 5 | 120 | |||||||||||||||||
FMS072 | 7.5 | G2 | D, E, F, MLIV, MWIR, N, Pi, W | X | E2 | Design of Experiments | KS KE U W T | 14 | 14 | 0 | 14 | 150 | |||||||||||||||||
FMSN05 | 3 | A | Pi | X | E | International Project Course-Mathematical Modelling | X | KS KE U W T | 0 | 0 | 0 | 10 | 40 | ||||||||||||||||
FMS035 | 7.5 | G2 | M | - | S | Mathematical Statistics, Basic Course | KS KE U W T | 28 | 28 | 10 | 0 | 120 | |||||||||||||||||
FMS045 | 6 | G2 | C, D, F, I | - | S | Stationary Stochastic Processes | X | KS KE U W T | 28 | 28 | 4 | 0 | 80 | ||||||||||||||||
FMS045 | Pi | X | Course on hold | ||||||||||||||||||||||||||
FMS047 | 3 | A | D, I | - | S | Stationary Stochastic Processes, Project Work | X | KS KE U W T | 0 | 0 | 4 | 6 | 70 | ||||||||||||||||
FMS155 | 7.5 | A | D, F, I, Pi | X | E2 | Statistical Modelling of Extreme Values | KS KE U W T | 28 | 14 | 6 | 2 | 100 |
FMSF10 (C, D, E, F, I) Stationary Stochastic Processes: Only one of the courses FMS045 and FMSF10 may be included in a degree.
FMSN05 (Pi) International Project Course-Mathematical Modelling: Limited number of participants. Specific application procedure. The course is given in August.
FMS045 (C, D, F) Stationary Stochastic Processes: Only one of the courses FMS045 and FMSF10 may be included in a degree.
FMS045 (I) Stationary Stochastic Processes: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2010. The course is also an optional programme course. Only one of the courses FMS045 and FMSF10 may be included in a degree.
FMS045 (Pi) Stationary Stochastic Processes: The course is transferred from year 2 to year 3.
FMS045 (I) Stationary Stochastic Processes: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2010. The course is also an optional programme course. Only one of the courses FMS045 and FMSF10 may be included in a degree.
FMS045 (Pi) Stationary Stochastic Processes: The course is transferred from year 2 to year 3.
Mathematics
Course Code | Credits | Cycle | Programme | S.Ex. stud. | Language | Course Name | Footnote | Links | 12/13 sp1 |
12/13 sp2 |
12/13 sp3 |
12/13 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 | ||||||||||
FMA430 | 6 | G1 | B, BI, BME, K, L, N, V | - | S | Calculus in Several Variables | KS KE U W T | 50 | 28 | 4 | 0 | 90 | |||||||||||||||||
FMA430 | C, D | 50 | 28 | 4 | 0 | 90 | |||||||||||||||||||||||
FMA430 | F, I | 50 | 28 | 4 | 0 | 90 | |||||||||||||||||||||||
FMA430 | E, M, MD, W | 50 | 28 | 4 | 0 | 90 | |||||||||||||||||||||||
FMA170 | 6 | A | C, D, E, F, L, Pi | X | E1 | Image Analysis | KS KE U W T | 28 | 14 | 8 | 1 | 120 | |||||||||||||||||
FMA661 | 7.5 | G2 | IDA | - | S | Probability Theory and Discrete Mathematics | KS KE U W T | 36 | 36 | 0 | 0 | 128 | |||||||||||||||||
FMAA05 | 15 | G1 | BI, E, F, I, L, Pi, V, W | - | S | Calculus in One Variable | KS KE U W T | 56 | 48 | 0 | 0 | 122 | 56 | 42 | 0 | 0 | 122 | ||||||||||||
FMA260 | 7.5 | A | F, Pi | X | E2 | Functional Analysis and Harmonic Analysis | KS KE U W T | 14 | 14 | 0 | 0 | 72 | 14 | 14 | 0 | 0 | 72 | ||||||||||||
FMA140 | 6 | A | D, F, Pi | X | E2 | Non-Linear Dynamical Systems | KS KE U W T | 14 | 7 | 0 | 0 | 59 | 14 | 7 | 0 | 0 | 59 | ||||||||||||
FMA645 | 13.5 | G1 | IBYA, IBYI, IBYV, IDA, IEA | - | S | Calculus | KS KE U W T | 14 | 28 | 0 | 0 | 38 | 36 | 36 | 0 | 0 | 88 | 28 | 28 | 0 | 0 | 64 | |||||||
FMAA01 | 15 | G1 | BME, C, D, M, MD | - | S | Calculus in One Variable | KS KE U W T | 34 | 36 | 0 | 0 | 81 | 42 | 28 | 0 | 0 | 81 | 42 | 28 | 0 | 0 | 81 | |||||||
FMAA01 | B, K, N | 34 | 36 | 0 | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 42 | 28 | 0 | 0 | 81 | 42 | 28 | 0 | 0 | 81 | ||||||||
FMA085 | 4.5 | G1 | Pi | - | S | Mathematical Communication | KS KE U W T | 10 | 10 | 0 | 1 | 10 | 6 | 4 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 58 | ||
FMA420 | 6 | G1 | C, F, Pi, W | - | S | Linear Algebra | KS KE U W T | 42 | 28 | 0 | 0 | 90 | |||||||||||||||||
FMA420 | B, I, K, M, MD, N | 42 | 28 | 0 | 0 | 90 | |||||||||||||||||||||||
FMA420 | BI, E, L, V | 42 | 28 | 0 | 0 | 90 | |||||||||||||||||||||||
FMA420 | BME, D | 42 | 28 | 0 | 0 | 90 | |||||||||||||||||||||||
FMAF01 | 7 | G2 | F, N, Pi | - | S | Mathematics - Analytic Functions | KS KE U W T | 42 | 28 | 4 | 0 | 130 | |||||||||||||||||
FMAF01 | C, D, E, I | X | 42 | 28 | 4 | 0 | 130 | ||||||||||||||||||||||
FMA120 | 6 | A | Pi | X | E2 | Matrix Theory | KS KE U W T | 14 | 14 | 0 | 1 | 52 | 14 | 14 | 0 | 1 | 52 | ||||||||||||
FMA120 | C, D, E, F | 20 | 20 | 0 | 1 | 64 | 8 | 8 | 0 | 1 | 40 | ||||||||||||||||||
FMA175 | 3 | A | C, D, E, F, L, Pi | X | E1 | Image Analysis, Project | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMAA10 | 3 | G1 | Pi | - | S | Mathematical Modelling | X | KS KE U W T | 18 | 0 | 0 | 2 | 60 | ||||||||||||||||
FMA145 | 3 | A | D, F, Pi | X | E1 | Non-linear Dynamical Systems, Project | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMA051 | 6 | A | D, E, F, I, Pi | X | E1 | Optimization | X | KS KE U W T | 36 | 14 | 4 | 1 | 100 | ||||||||||||||||
FMA135 | 6 | G1 | C, D, E, F, Pi | X | E2 | Geometry | KS KE U W T | 14 | 0 | 2 | 0 | 64 | 14 | 0 | 2 | 1 | 64 | ||||||||||||
FMA250 | 7.5 | A | F, Pi | X | E2 | Partial Differential Equations with Distribution Theory | KS KE U W T | 14 | 14 | 0 | 0 | 72 | 14 | 14 | 0 | 0 | 72 | ||||||||||||
FMAF05 | 7 | G2 | F, N, Pi | - | S | Mathematics - Systems and Transforms | KS KE U W T | 42 | 28 | 4 | 0 | 90 | |||||||||||||||||
FMAF05 | C, D, E, I | X | 42 | 28 | 4 | 0 | 90 | ||||||||||||||||||||||
FMA125 | 3 | A | Pi | - | E1 | Matrix Theory, Project | KS KE U T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMA125 | D, E, F | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||||||||
FMAN10 | 7.5 | A | C, D, F, Pi | X | E1 | Algebraic Structures | X | KS KE U W T | 28 | 14 | 0 | 0 | 158 | ||||||||||||||||
FMAF10 | 5 | G2 | B, C, D, K, L, M, W | - | S | Applied Mathematics - Linear systems | X | KS KE U W T | 28 | 14 | 4 | 0 | 75 | ||||||||||||||||
FMA270 | 6 | A | C, D, E, F, Pi | X | E1 | Computer Vision | KS KE U W T | 28 | 14 | 8 | 1 | 120 | |||||||||||||||||
FMA240 | 6 | G2 | D, E, F, Pi | X | E2 | Linear and Combinatorial Optimization | KS KE U W T | 28 | 0 | 4 | 1 | 132 | |||||||||||||||||
FMA111 | 6 | A | D, F, Pi | - | S | Mathematical Structures | KS KE U W T | 28 | 14 | 0 | 0 | 118 | |||||||||||||||||
FMA021 | 7.5 | A | D, E, F, M, Pi | - | S | Applied Mathematics | KS KE U W T | 24 | 12 | 2 | 0 | 60 | 24 | 14 | 6 | 0 | 60 | ||||||||||||
FMAN01 | 7.5 | A | E, F, Pi, W | X | E2 | Biomathematics | X | KS KE U T | Course on hold | ||||||||||||||||||||
FMA435 | 7.5 | G1 | Pi | - | S | Calculus in Several Variables | KS KE U W T | 50 | 28 | 4 | 0 | 90 | 10 | 10 | 0 | 0 | 20 | ||||||||||||
FMA200 | 6 | A | D, E, F, Pi | X | E2 | Calculus of Variations | KS KE U T | 14 | 0 | 0 | 0 | 66 | 14 | 0 | 0 | 0 | 66 | ||||||||||||
FMA023 | 3 | A | F, Pi | - | E1 | Applied Mathematics, Project | KS KE U W T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMA272 | 3 | A | C, D, E, F, Pi | X | E1 | Computer Vision, Project | KS KE U T | 0 | 0 | 0 | 10 | 70 | |||||||||||||||||
FMA091 | 6 | G1 | C, D, E, F, Pi | - | S | Discrete Mathematics | KS KE U W T | 36 | 28 | 0 | 0 | 104 | |||||||||||||||||
FMA656 | 4.5 | G1 | IBYA, IBYI, IBYV, IDA, IEA | - | S | Mathematics, Linear Algebra | KS KE U W T | 28 | 28 | 0 | 0 | 64 | |||||||||||||||||
FMAN05 | 6 | A | D, F, N, Pi | X | E1 | Quantum Computing | X | KS KE U W T | Course on hold |
FMAF01 (D) Mathematics - Analytic Functions: Can together with FMAF05 replace FMAF10. Also given as an elective course in the 4th year.
FMAA10 (Pi) 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.
FMA051 (I) Optimization: Compulsory course in the elective block ‘Mathematical Modelling’ for students admitted autumn 2010. The course is also an optional programme course.
FMAF05 (C) Mathematics - Systems and Transforms: Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAF05 (D) Mathematics - Systems and Transforms: Can together with FMAF01 replace FMAF10. Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAF05 (D) Mathematics - Systems and Transforms: Can together with FMAF01 replace FMAF10. Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAN10 (C, D, F, Pi) Algebraic Structures: In Spring 2013 the written exam will take place on the Saturday after the first week in the second study period.
FMAF10 (C) Applied Mathematics - Linear systems: Only one of the courses FMAF05 and FMAF10 may be included in a degree.
FMAF10 (D) Applied Mathematics - Linear systems: Can be replaced by FMAF01 and FMAF05 together. Only one of the courses FMAF10 and FMAF05 may be included in a degree.
FMAF10 (D) Applied Mathematics - Linear systems: Can be replaced by FMAF01 and FMAF05 together. Only one of the courses FMAF10 and FMAF05 may be included in a degree.
Numerical Analysis
Course Code | Credits | Cycle | Programme | S.Ex. stud. | Language | Course Name | Footnote | Links | 12/13 sp1 |
12/13 sp2 |
12/13 sp3 |
12/13 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 | D, E, F, Pi | X | E1 | Advanced Course in Numerical Algorithms with Python/SciPy | KS KE U W T | 28 | 14 | 0 | 3 | 155 | |||||||||||||||||
FMNN01 | 7.5 | A | Pi | X | E | Numerical Linear Algebra | KS KE U W T | 42 | 0 | 0 | 6 | 153 | |||||||||||||||||
FMNN01 | F | 42 | 0 | 0 | 6 | 152 | |||||||||||||||||||||||
FMN100 | 6 | A | C, D, E, F | X | E1 | Numerical Methods in CAGD | KS KE U W T | 28 | 12 | 0 | 4 | 120 | |||||||||||||||||
FMNN20 | 7.5 | A | F, Pi | X | E1 | Numerical Analysis for Elliptic and Parabolic Differential Equations | X | KS KE U T | Course on hold | ||||||||||||||||||||
FMNN10 | 8 | A | F, I, Pi | X | E1 | Numerical Methods for Differential Equations | KS KE U W T | 56 | 0 | 0 | 3 | 150 | |||||||||||||||||
FMNN05 | 7.5 | A | D, F, Pi | X | E1 | Simulation Tools | KS KE U W T | 28 | 14 | 0 | 3 | 155 | |||||||||||||||||
FMN140 | 6 | G2 | V | - | S | Scientific Computing | KS KE U W T | 28 | 0 | 28 | 1 | 50 | 2 | 0 | 10 | 1 | 41 | ||||||||||||
FMNN15 | 4 | A | F, Pi | X | E1 | Multigrid Methods for Differential Equations | KS KE U W T | 20 | 0 | 0 | 2 | 105 | |||||||||||||||||
FMN011 | 6 | G2 | C, D, L | X | E1 | Numerical Analysis | KS KE U W T | 56 | 14 | 0 | 3 | 90 | |||||||||||||||||
FMN050 | 6 | G2 | E, I | X | E1 | Numerical Analysis | X | KS KE U W T | 56 | 14 | 0 | 3 | 90 |
Bachelor's Projects of the Department
The list contains the bachelor's projects which are given by the department and which programme each bachelor's project is included in. The list is not necessarily complete before the academic year 2016/17.
Course Code | Credits | Programme | Course Name | Links |
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FMSL01 | 15 | C, D, E, F, I, Pi | Bachelor Project in Mathematical Statistics | KS KE U W |
Degree Projects of the Department
The list contains the degree projects which are given by the department and which programme each degree project is included in.
Course Code | Credits | Programme | Course Name | Links |
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FMS820 | 30 | BME, C, D, E, F, I, Pi, RH | Degree Project in Mathematical Statistics for Engineers | KS KE U W |
FMA820 | 30 | BME, C, D, E, F, I, M, Pi | Degree Project in Mathematics for Engineers | KS KE U W |
FMN820 | 30 | D, E, F, I, M, Pi | Degree Project in Numerical Analysis | KS KE U W |