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Block schedule »   Study programme syllabus for class 2020/2021 »  | Year:  1  2 

Study programme for  
MPCAS - COMPLEX ADAPTIVE SYSTEMS, MSC PROGR Academic year: 2020/2021
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 -20 up to Aug -21
AUTUMN TERM
Study period 1
Compulsory courses
30 FFR105 0199 E D Stochastic optimization algorithms, Examination 7,5 28/10-2020 pm J 04/01-2021 am J 26/08-2021 am J
16 FFR135 0100 E B+ Artificial neural networks, Examination 7,5 26/10-2020 am L 05/01-2021 pm J 19/08-2021 pm J
Elective courses
28 KMG060 0107 S 1) 2)  C Systems biology, Examination 7,5 24/10-2020 pm J 07/01-2021 am J 24/08-2021 pm J
70 RRY025 0107 E 1) 2)  C+ Image processing, Examination 7,5 29/10-2020 pm J 05/01-2021 pm J 20/08-2021 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 24/10-2020 pm L 05/01-2021 am J 26/08-2021 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 29/10-2020 am J
11 TMS165 0104 E 1) 2)  Stochastic calculus, Examination 7,5 27/10-2020 am J
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 11/01-2021 am J 09/04-2021 pm J 18/08-2021 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 15/01-2021 am J 09/04-2021 pm J 16/08-2021 pm J
11 MVE095 0106 E 1) 2)  Options and mathematics, Examination 7,5 09/01-2021 am J
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
Elective courses
11 MVE155 0107 E 1)  Statistical inference, Examination 7,5
37 TDA206 0101 E A Discrete optimization, Examination 7,5
37 TDA233 0120  D+ Algorithms for machine learning and inference, Written and oral assignments 3,0
37 TDA233 0220 S D+ Algorithms for machine learning and inference, Examination 4,5
70 TIF150 0107 E 1)  B+ Information theory for complex systems, Examination 7,5
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
30 TME285 0116 E 1)  Intelligent agents, Examination 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 09/10-2020 pm J
11 MVE165 0107 E 1)  Linear and integer optimization with applications, Examination 7,5
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 09/10-2020 am J
16 TIF360 0120 E 1)  Advanced machine learning with neural networks, Project 7,5
30 TME290 0116 E 1)  B Autonomous robots, Examination 7,5 Contact examiner
11 TMS016 0101 S 1)  Spatial statistics and image analysis, Examination 7,5
11 TMS088 0117 E 1)  Financial time series, Examination 7,5
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, TME285, 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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Published: Mon 28 Nov 2016.