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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

Page manager Published: Thu 04 Feb 2021.