Study programme for |
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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
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|
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
|
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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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