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Block schedule »   Permissible substitutions »   Study programme syllabus »  | Year:  1  2 
Study programme for  
MPCAS - COMPLEX ADAPTIVE SYSTEMS, MSC PROGR Academic year: 2021/2022
KOMPLEXA ADAPTIVA SYSTEM, MASTERPROGRAM
The Study programme is adopted 2019-02-20 by Dean of Education
First Year
Explanations
Dept Course code Module
code		 Note Block Course name, Module type Extent/
period		 Regular
exam		 Re-sit examination
Oct -21 up to Aug -22
AUTUMN TERM
Study period 1
Compulsory courses
30 FFR105 0199 E D Stochastic optimization algorithms, Examination 7,5 27/10-2021 pm J 03/01-2022 am J 25/08-2022 am J
16 FFR135 0100 E B+ Artificial neural networks, Examination 7,5 25/10-2021 am L 04/01-2022 pm J 18/08-2022 pm J
Elective courses
28 KMG060 0107 S 1) 2)  C Systems biology, Examination 7,5 23/10-2021 am J 05/03-2022 am J 23/08-2022 pm J
70 RRY025 0107 E 1) 2)  C+ Image processing, Examination 7,5 28/10-2021 pm J 04/01-2022 pm J 19/08-2022 pm J
30 TIF160 0107 E 1) 2)  C+ Humanoid robotics, Project 7,5
16 TIF290 0119 E 1) 2)  B Quantum mechanics, Examination 4,5 Contact examiner Contact examiner Contact examiner
16 TIF295 0119 E 1) 2)  A Experimental methods in modern physics, Project 3,0
37 TIN093 0114 E 1) 2)  A Algorithms, Examination 7,5 23/10-2021 pm L 25/08-2022 pm J
11 TMA881 0101 E 1) 2)  High performance computing, Examination 7,5 Contact examiner Contact examiner Contact examiner
11 TMA947 0103  1) 2)  Nonlinear optimisation, Laboratory 1,5
11 TMA947 0203 S 1) 2)  Nonlinear optimisation, Examination 6,0 28/10-2021 am J 04/01-2022 am J Change 16/08-2022 am J Change
11 TMS165 0104 E 1) 2)  Stochastic calculus, Examination 7,5 26/10-2021 am J 04/01-2022 pm J Change 19/08-2022 am J Change
Study period 2
Compulsory courses
16 FFR120 0199 E D+ Simulation of complex systems, Project 7,5
16 TIF155 0107 E B Dynamical systems, Examination 7,5 10/01-2022 am J 13/04-2022 pm J 17/08-2022 am J
Elective courses
70 ENM140 0114 E 1) 2)  A Game theory and rationality, Project 7,5
16 FKA121 0199 E 1) 2)  D Computational physics, Examination 7,5 Contact examiner Contact examiner Contact examiner
30 MTF073 0120  1) 2)  D Computational fluid dynamics (CFD), part A, Written and oral assignments 1,5
30 MTF073 0220  1) 2)  D Computational fluid dynamics (CFD), part B, Written and oral assignments 1,5
30 MTF073 0320  1) 2)  D Computational fluid dynamics (CFD), part C, Written and oral assignments 1,5
30 MTF073 0420 S 1) 2)  D Computational fluid dynamics (CFD), Examination 3,0 14/01-2022 am J 13/04-2022 pm J 15/08-2022 pm J
11 MVE095 0106 E 1) 2)  Options and mathematics, Examination 7,5 13/01-2022 am J 13/04-2022 am J Change 23/08-2022 am J Change
37 TDA251 0107 E 1) 2)  C Algorithms, advanced course, Project 7,5
37 TDA507 0113 E 1) 2)  A Computational methods in bioinformatics, Written and oral assignments 7,5
16 TIF181 0118 E 1) 2)  B Science, innovation and entrepreneurship, Project 7,5
 
SPRING TERM
Study period 3
Compulsory courses
16 FFR110 0199 E C Computational biology, Examination 7,5 17/03-2022 pm J 10/06-2022 am J 24/08-2022 am J
Elective courses
11 MVE155 0107 E 1)  Statistical inference, Examination 7,5 15/03-2022 pm J 09/06-2022 am J Change 16/08-2022 pm J Change
37 TDA206 0101 E A Discrete optimization, Examination 7,5 16/03-2022 am J Contact examiner
37 TDA233 0120  B Algorithms for machine learning and inference, Written and oral assignments 3,0
37 TDA233 0220 S B Algorithms for machine learning and inference, Examination 4,5 15/03-2022 pm J 10/06-2022 am J 24/08-2022 am J
70 TIF150 0107 E 1)  B+ Information theory for complex systems, Examination 7,5 18/03-2022 pm J Contact examiner 18/08-2022 am J
16 TIF320 0119 E 1)  C Computational materials and molecular physics, Project 7,5
11 TMA285 0101 E 1)  Financial derivatives and partial differential equations, Examination 7,5 15/03-2022 am J 10/06-2022 pm J Change 26/08-2022 pm J Change
30 TME286 0121 E 1)  Intelligent agents, Project 7,5
Study period 4
Elective courses
30 MTF271 0120  1)  C Turbulence modeling, part A, Written and oral assignments 1,5
30 MTF271 0220  1)  C Turbulence modeling, part B, Written and oral assignments 1,5
30 MTF271 0320 S 1)  C Turbulence modeling, Examination 4,5 31/05-2022 am J 08/10-2021 pm J Change 16/08-2022 am J
11 MVE165 0107 S 1)  Linear and integer optimization with applications, Examination 7,5 02/06-2022 am J 03/01-2022 am J Change 25/08-2022 pm J Change
11 MVE220 0108 E Financial risk, Examination 7,5 30/05-2022 pm J 04/01-2022 am J Change 19/08-2022 pm J Change
11 MVE441 0120  1)  Statistical learning for big data, Project 1,5
11 MVE441 0220 S 1)  Statistical learning for big data, Take-home examination 6,0
16 TIF106 0111 E 1)  D Non-equilibrium processes in physics, chemistry and biology, Examination 7,5 31/05-2022 pm J 08/10-2021 am J Change 22/08-2022 am J
16 TIF360 0120 E 1)  D Advanced machine learning with neural networks, Project 7,5
30 TME290 0116 E 1)  B Autonomous robots, Examination 7,5 Contact examiner Contact examiner Contact examiner
11 TMS016 0101 S 1)  Spatial statistics and image analysis, Examination 7,5 01/06-2022 pm J Contact examiner 24/08-2022 pm J Change
11 TMS088 0117 E 1)  Financial time series, Examination 7,5 03/06-2022 pm J 03/01-2022 am J Change 22/08-2022 am J Change
1) Compulsory elective: - (ENM140, FKA121, KMG060, MTF073, MTF271, MVE095, MVE155, MVE165, MVE441, RRY025, TDA251, TDA507, TIF106, TIF150, TIF160, TIF181, TIF290, TIF295, TIF320, TIF360, TIN093, TMA285, TMA881, TMA947, TME286, TME290, TMS016, TMS088, TMS165): 22.5 c of stated courses are required for the degree
2) Recommendation: The course is normally followed during the second year of the Masters programme (ENM140, FKA121, KMG060, MTF073, MVE095, RRY025, TDA251, TDA507, TIF160, TIF181, TIF290, TIF295, TIN093, TMA881, TMA947, TMS165)
* Element includes education in another quarter
S Final grade. All module grades are reported before the final grade for the course can be reported.
E The only module in the course. Module grade and grade for the course are reported at the same time.
DIG Digital examination is a examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser
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