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Block schedule »   Study programme syllabus for class 2019/2020 »  | Year:  1  2 

Study programme for  
MPDSC - DATA SCIENCE AND AI, MSC PROGR Academic year: 2019/2020
DATA SCIENCE OCH AI, MASTERPROGRAM
The Study programme is adopted 2019-02-21 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 -19 up to Aug -20

AUTUMN TERM
Study period 1
Compulsory courses
37 DAT405 0119 E Introduction to data science and AI, Written and oral assignments 7,5
11 TMA947 0103  Nonlinear optimisation, Laboratory 1,5
11 TMA947 0203 S Nonlinear optimisation, Examination 6,0 31/10-2019 am H Change 03/01-2020 am SB_MU Change 18/08-2020 am J Change
Elective courses
70 RRY025 0107 E 1) 2) 3)  C+ Image processing, Examination 7,5 31/10-2019 pm M Change 08/01-2020 pm M Change 21/08-2020 pm J
37 TIN093 0114 E 4)  A Algorithms, Examination 7,5 26/10-2019 pm L 08/01-2020 am J Change 27/08-2020 pm J
11 TMA881 0101 E 2)  High performance computing, Examination 7,5 Contact examiner Contact examiner Contact examiner

Study period 2
Compulsory courses
11 MVE550 0118  Stochastic processes and Bayesian inference, Examination 6,0 18/01-2020 pm H Change 08/04-2020 am DIST Change 17/08-2020 am J
11 MVE550 0218 S Stochastic processes and Bayesian inference, Written and oral assignments 1,5
Elective courses
37 DAT246 0114  Empirical software engineering, Written and oral assignments 2,5
37 DAT246 0214 S Empirical software engineering, Examination 5,0 13/01-2020 pm L 07/04-2020 am DIST Change 25/08-2020 am L
32 EEN020 0118  C Computer vision, Project 3,0
32 EEN020 0218 S C Computer vision, Written and oral assignments 4,5
11 MVE171 0116 E 2)  Basic stochastic processes and financial applications, Examination 7,5 07/12-2019 am SB_MU Change 06/04-2020 am DIST Change 24/08-2021 pm J Change 24/08-2021 pm J Change
11 MVE190 0108 E Linear statistical models, Examination 7,5 14/01-2020 pm SB Change 07/04-2020 pm DIST Change 18/08-2020 pm J Change
32 SSY130 0107 S D Applied signal processing, Examination 7,5 15/01-2020 pm SB_MU Change 06/04-2020 pm DIST Change 25/08-2020 pm J
37 TDA251 0107 E C Algorithms, advanced course, Project 7,5
37 TDA357 0106  4)  D+ Databases, Examination 4,5 15/01-2020 pm H Change 08/06-2020 pm J 27/08-2020 pm J
37 TDA357 0206 S 4)  D+ Databases, Laboratory 3,0
37 TDA507 0113 E A Computational methods in bioinformatics, Written and oral assignments 7,5
37 TDA596 0107  C Distributed systems, Examination 6,0 14/01-2020 am SB_MU Change 07/04-2020 pm DIST Change 19/08-2020 am J
37 TDA596 0207 S C Distributed systems, Laboratory 1,5
11 TMA521 0197 E 2)  Large scale optimization, Examination 7,5 Contact examiner Contact examiner Contact examiner

 
SPRING TERM
Study period 3
Compulsory courses
37 DAT340 0117  B Applied Machine Learning, Examination 4,0 Contact examiner Contact examiner Contact examiner
37 DAT340 0217 S B Applied Machine Learning, Written and oral assignments 3,5
37 DAT410 0119 E D Design of AI systems, Written and oral assignments 7,5
Elective courses
32 SSY098 0119  2) 3)  C Image analysis, Project 3,5
32 SSY098 0219 S 2) 3)  C Image analysis, Laboratory 4,0
37 TDA357 0106  Databases, Examination 4,5 20/03-2020 am H Change 08/06-2020 pm J 27/08-2020 pm J
37 TDA357 0206 S Databases, Laboratory 3,0
37 TIN093 0114 E A+ Algorithms, Examination 7,5 18/03-2020 am SB_MU Change 27/08-2020 pm J

Study period 4
Elective courses
37 DAT346 0119  4)  A Techniques for large-scale data, Examination 4,0 03/06-2020 am J 11/10-2019 am M Change 21/08-2020 pm J
37 DAT346 0219 S 4)  A Techniques for large-scale data, Written and oral assignments 3,5
11 MVE165 0107 E Linear and integer optimization with applications, Examination 7,5 Contact examiner Contact examiner Contact examiner
11 MVE440 0115 S 4)  Statistical learning for big data, Examination 7,5 Contact examiner Contact examiner Contact examiner
32 SSY115 0107 E B Health Informatics, Project 7,5
32 SSY315 0114 E 5)  Bayesian statistics, Project 7,5
37 TDA232 0119  2)  D+ Algorithms for machine learning and inference, Written and oral assignments 3,0
37 TDA232 0219 S 2)  D+ Algorithms for machine learning and inference, Examination 4,5 30/05-2020 pm J 12/10-2019 pm SB_MU Change 26/08-2020 am J
11 TMS016 0101 S 2)  Spatial statistics and image analysis, Examination 7,5 03/06-2020 pm J Contact examiner Change 26/08-2020 pm J Change
11 TMS088 0117 E 2)  Financial time series, Examination 7,5 05/06-2020 pm J 03/01-2020 am SB_MU Change 20/08-2020 am J Change


1) Recommendation: The course is normally followed during the second year of the Masters programme (RRY025)
2) Compulsory elective: Compulsory elective course. (MVE171, RRY025, SSY098, TDA232, TMA521, TMA881, TMS016, TMS088): 2 of stated courses are required for the degree
3) Overlap: Only one of the marked courses can be included in the degree (RRY025, SSY098)
4) Compulsory elective: Compulsory elective course. (DAT346, MVE440, TDA357, TIN093): 1 of stated courses is required for the degree
5) Is given every other year
* 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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Page manager Published: Thu 04 Feb 2021.