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Block schedule »   Study programme syllabus »  | Year:  1  2 
Study programme for  
MPDSC - DATA SCIENCE AND AI, MSC PROGR Academic year: 2021/2022
DATA SCIENCE OCH AI, MASTERPROGRAM
The Study programme is adopted 2019-02-21 by Dean of Education
Second 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
Elective courses
37 DAT246 0114  A Empirical software engineering, Written and oral assignments 2,5
37 DAT246 0214 S A Empirical software engineering, Examination 5,0 25/10-2021 pm J 05/01-2022 am L Change 23/08-2022 pm J
37 DAT465 0121 E A Causality and causal inference, Written and oral assignments 7,5
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
11 MVE187 0117  Computational methods for Bayesian statistics, Project 2,0
11 MVE187 0217 S Computational methods for Bayesian statistics, Examination 5,5 30/10-2021 am J 05/01-2022 pm J Change 25/08-2022 am J Change
70 RRY025 0107 E C+ Image processing, Examination 7,5 28/10-2021 pm J 04/01-2022 pm J 19/08-2022 pm J
32 SSY340 0117  A Deep machine learning, Project 3,0
32 SSY340 0217 S A Deep machine learning, Written and oral assignments 4,5
45 TEK650 0120 S D Strategic management of technological innovation , Examination 7,5 27/10-2021 pm J DIG Change 05/01-2022 pm L DIG Change 17/08-2022 am J DIG
37 TIN093 0114 E A Algorithms, Examination 7,5 23/10-2021 pm L 25/08-2022 pm J
11 TMA265 0101 E Numerical linear algebra, Examination 7,5 26/10-2021 pm J 03/01-2022 pm J Change Contact examiner Change
11 TMA881 0101 E High performance computing, Examination 7,5 Contact examiner Contact examiner Contact examiner
Study period 2
Elective courses
37 DAT450 0120 S A Machine learning for natural language processing, Written and oral assignments 7,5
32 EEN020 0118  C Computer vision, Project 3,0
32 EEN020 0218 S C Computer vision, Written and oral assignments 4,5
11 MVE095 0106 E Options and mathematics, Examination 7,5 13/01-2022 am J 13/04-2022 am J Change 23/08-2022 am J Change
11 MVE172 0120  Basic stochastic processes and financial applications, Laboratory 3,0
11 MVE172 0220 S Basic stochastic processes and financial applications, Examination 4,5 04/12-2021 am J 11/04-2022 am J Change 23/08-2022 pm J Change
11 MVE190 0108 E Linear statistical models, Examination 7,5 11/01-2022 pm J 12/04-2022 pm J Change 18/08-2022 pm J Change
32 SSY130 0107 S D Applied signal processing, Examination 7,5 12/01-2022 pm J 11/04-2022 pm J 23/08-2022 pm J
37 TDA251 0107 E C Algorithms, advanced course, Project 7,5
37 TDA357 0106  D+ Databases, Examination 4,5 12/01-2022 pm J 25/08-2022 pm J
37 TDA357 0206 S 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 11/01-2022 am J 12/04-2022 pm J 17/08-2022 am J
37 TDA596 0207 S C Distributed systems, Laboratory 1,5
45 TEK656 0121 E B Creating technology-based ventures, Examination 7,5 10/01-2022 am J DIG Change 11/04-2022 am J DIG Change 22/08-2022 pm J DIG
11 TMA521 0197 S Large scale optimization, Examination 7,5 14/01-2022 pm J 12/04-2022 am J Change 23/08-2022 pm J Change
 
SPRING TERM
Study period 3
Study period 4
 
DIPLOMA THESIS
37 DATX05 0108  Master's thesis in Computer science and engineering, Diploma thesis 30.0      
37 DATX60 0109  Master's thesis in Computer science and engineering, part A, Diploma thesis 30.0      
37 DATX60 0209  Master's thesis in Computer science and engineering, part B, Diploma thesis 30.0      
11 MVEX03 0108  Master's thesis in Mathematics, Diploma thesis 30.0      
11 MVEX60 0109  Master's thesis in Mathematics, part A, Diploma thesis 30.0      
11 MVEX60 0209  Master's thesis in Mathematics, part B, Diploma thesis 30.0      
* 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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