lunduniversity.lu.se

LTH Courses

Faculty of Engineering | Lund University

Courses 2020/21 for MMSR Programme

Master's programme in Machine Learning, Systems and Control ◄ 20/21     

Study Year 1 (Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc. Credits Cycle G1: Basic level
G2: Upper basic level
A: Advanced level 		S.Ex. stud. The course is suitable for incoming exchange students. Language Language of the course:
E: The course is given in English
E1: The course is given in English upon request
E2: The course may be given in English
S: The course is given in Swedish 		Course Name Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule 		  20/21
sp1		 20/21
sp2		 20/21
sp3		 20/21
sp4
FMAN20 7.5 A X E1 Image Analysis KS KE U W T 1 Lectures: 32 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 166 h (45-minute sessions)
FRTF25 7.5 G2 - E Introduction to Machine Learning, Systems and Control KS KE U W T 1 Lectures: 16 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 72 h (45-minute sessions) 		2 Lectures: 14 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 6 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 80 h (45-minute sessions)
FRTN65 7.5 A - E Modelling and Learning from Data KS KE U W T 1 Lectures: 16 h (45-minute sessions)
Exercises: 10 h (45-minute sessions)
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 70 h (45-minute sessions) 		2 Lectures: 14 h (45-minute sessions)
Exercises: 10 h (45-minute sessions)
Laboratory exercises: 8 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 68 h (45-minute sessions)
EXTQ40 7.5 A - E1 Introduction to Artificial Neural Networks and Deep Learning KS KE U W T 2 Lectures: 34 h (45-minute sessions)
Exercises: 10 h (45-minute sessions)
Laboratory exercises: 30 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 126 h (45-minute sessions)

Study Year 1 (Elective Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc. Credits Cycle G1: Basic level
G2: Upper basic level
A: Advanced level 		S.Ex. stud. The course is suitable for incoming exchange students. Language Language of the course:
E: The course is given in English
E1: The course is given in English upon request
E2: The course may be given in English
S: The course is given in Swedish 		Course Name Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule 		  20/21
sp1		 20/21
sp2		 20/21
sp3		 20/21
sp4
EDAP01 7.5 A X E Artificial Intelligence KS KE U W T 3 Lectures: 28 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 170 h (45-minute sessions)
FMSN50 7.5 A X E Monte Carlo and Empirical Methods for Stochastic Inference KS KE U W T 3 Lectures: 28 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 5 h (45-minute sessions)
Time for self studies: 140 h (45-minute sessions)
FRTN60 7.5 A - E Real-Time Systems KS KE U W T 3 Lectures: 34 h (45-minute sessions)
Exercises: 22 h (45-minute sessions)
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 132 h (45-minute sessions)
FMAN45 7.5 A - E1 Machine Learning KS KE U W T 4 Lectures: 28 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 170 h (45-minute sessions)
FRTN70 7.5 A X E Project in Systems, Control and Learning KS KE U W T 4 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 40 h (45-minute sessions)
Time for self studies: 160 h (45-minute sessions)

Study Year 2 (Mandatory Courses)

Course Code Link to complete information about the course; study periods, programmes etc. Credits Cycle G1: Basic level
G2: Upper basic level
A: Advanced level 		S.Ex. stud. The course is suitable for incoming exchange students. Language Language of the course:
E: The course is given in English
E1: The course is given in English upon request
E2: The course may be given in English
S: The course is given in Swedish 		Course Name Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule 		  20/21
sp1		 20/21
sp2		 20/21
sp3		 20/21
sp4
FRTN55 7.5 A X E Automatic Control, Advanced Course KS KE U W T 1 Lectures: 30 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 130 h (45-minute sessions)

Elective Courses - MMSR

Course Code Link to complete information about the course; study periods, programmes etc. Credits Cycle G1: Basic level
G2: Upper basic level
A: Advanced level 		Year Study year the course belongs to according to normal study plan. From year Students are permitted to read the course from this year of study. S.Ex. stud. The course is suitable for incoming exchange students. Language Language of the course:
E: The course is given in English
E1: The course is given in English upon request
E2: The course may be given in English
S: The course is given in Swedish 		Course Name Foot­note Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule 		  sp1 sp2 sp3 sp4
EDAN70 7.5 A 1 1 X E1 Project in Computer Science KS KE U W T 1 Lectures: 2 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 12 h (45-minute sessions)
Time for self studies: 182 h (45-minute sessions)
EDAN70 2 Lectures: 2 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 12 h (45-minute sessions)
Time for self studies: 182 h (45-minute sessions)
FMAN95 7.5 A 1 1 X E1 Computer Vision KS KE U W T 3 Lectures: 32 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 166 h (45-minute sessions)
BMEN20 7.5 A 1 1 X E1 Project Course in Signal Processing – from Idea to App KS KE U W T 3 Lectures: 8 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 8 h (45-minute sessions)
Time for self studies: 172 h (45-minute sessions)
EDAN70 7.5 A 1 1 X E1 Project in Computer Science KS KE U W T 3 Lectures: 2 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 12 h (45-minute sessions)
Time for self studies: 182 h (45-minute sessions)
EDAN15 7.5 A 1 1 X E Design of Embedded Systems KS KE U W T 4 Lectures: 24 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 14 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 150 h (45-minute sessions)
EDAN40 7.5 A 1 1 X E Functional Programming KS KE U W T 4 Lectures: 28 h (45-minute sessions)
Exercises: 6 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 166 h (45-minute sessions)
EITN45 7.5 A 1 1 X E Information Theory KS KE U W T 4 Lectures: 26 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 160 h (45-minute sessions)
FMSN30 7.5 A 1 1 X E Linear and Logistic Regression KS KE U W T 4 Lectures: 24 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 26 h (45-minute sessions)
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 120 h (45-minute sessions)
FRTN30 7.5 A 1 1 X E Network Dynamics KS KE U W T 4 Lectures: 28 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 16 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 130 h (45-minute sessions)
EDAN70 7.5 A 1 1 X E1 Project in Computer Science KS KE U W T 4 Lectures: 2 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 12 h (45-minute sessions)
Time for self studies: 182 h (45-minute sessions)
FMNN25 7.5 A 2 2 X E1 Advanced Course in Numerical Algorithms with Python/SciPy KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 3 h (45-minute sessions)
Time for self studies: 169 h (45-minute sessions)
FRTF20 7.5 G2 2 2 X E Applied Robotics KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 22 h (45-minute sessions)
Laboratory exercises: 8 h (45-minute sessions)
Time with supervisor for projects: 20 h (45-minute sessions)
Time for self studies: 100 h (45-minute sessions)
EDAF80 7.5 G2 2 2 X E Computer Graphics KS KE U W T 1 Lectures: 26 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 10 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 160 h (45-minute sessions)
EITG05 7.5 G2 2 2 X E Digital Communications KS KE U W T 1 Lectures: 24 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 4 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 144 h (45-minute sessions)
INTN01 7.5 A 2 2 X E Innovation Engineering KS KE U W T 1 Lectures: 80 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 15 h (45-minute sessions)
Time for self studies: 100 h (45-minute sessions)
EDAP20 7.5 A 2 2 X E Intelligent Autonomous Systems KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 14 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 156 h (45-minute sessions)
EDAN20 7.5 A 2 2 X E Language Technology KS KE U W T 1 Lectures: 20 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 14 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 160 h (45-minute sessions)
FMSF15 7.5 G2 2 2 X E Markov Processes KS KE U W T 1 Lectures: 26 h (45-minute sessions)
Exercises: 16 h (45-minute sessions)
Laboratory exercises: 6 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 140 h (45-minute sessions)
FMNN01 7.5 A 2 2 X E Numerical Linear Algebra KS KE U W T 1 Lectures: 36 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 6 h (45-minute sessions)
Time for self studies: 160 h (45-minute sessions)
FRTN50 7.5 A 2 2 X E Optimization for Learning KS KE U W T 1 Lectures: 28 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 10 h (45-minute sessions)
Time for self studies: 130 h (45-minute sessions)
FMSF10 7.5 G2 2 2 X E Stationary Stochastic Processes KS KE U W T 1 Lectures: 22 h (45-minute sessions)
Exercises: 16 h (45-minute sessions)
Laboratory exercises: 6 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 145 h (45-minute sessions)
FMAN80 7.5 A 2 2 X E1 Functional Analysis and Harmonic Analysis KS KE U W T 1 Lectures: 20 h (45-minute sessions)
Exercises: 10 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 108 h (45-minute sessions) 		2 Lectures: 8 h (45-minute sessions)
Exercises: 4 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 50 h (45-minute sessions)
FMAN15 7.5 A 2 2 X E Nonlinear Dynamical Systems KS KE U W T 1 Lectures: 16 h (45-minute sessions)
Exercises: 6 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 78 h (45-minute sessions) 		2 Lectures: 14 h (45-minute sessions)
Exercises: 8 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 0 h
Time for self studies: 78 h (45-minute sessions)
EDAN95 7.5 A 2 2 X E Applied Machine Learning KS KE U W T 2 Lectures: 28 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 14 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 156 h (45-minute sessions)
EITN70 7.5 A 2 2 X E Channel Coding for Reliable Communication KS KE U W T 2 Lectures: 28 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 156 h (45-minute sessions)
EDAN01 7.5 A 2 2 X E1 Constraint Programming KS KE U W T 2 Lectures: 20 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 160 h (45-minute sessions)
EDIN01 7.5 A 2 2 X E1 Cryptography KS KE U W T 2 Lectures: 36 h (45-minute sessions)
Exercises: 14 h (45-minute sessions)
Laboratory exercises: 0 h
Time with supervisor for projects: 2 h (45-minute sessions)
Time for self studies: 148 h (45-minute sessions)
FMSN45 7.5 A 2 2 X E Mathematical Statistics, Time Series Analysis KS KE U W T 2 Lectures: 24 h (45-minute sessions)
Exercises: 12 h (45-minute sessions)
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 5 h (45-minute sessions)
Time for self studies: 120 h (45-minute sessions)
FMAN30 7.5 A 2 2 X E1 Medical Image Analysis KS KE U W T 2 Lectures: 32 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 3 h (45-minute sessions)
Time for self studies: 165 h (45-minute sessions)
FRTN05 7.5 A 2 2 X E Non-Linear Control and Servo Systems KS KE U W T 2 Lectures: 28 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 12 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 130 h (45-minute sessions)
FRTN40 7.5 A 2 2 X E Project in Automatic Control KS KE U W T 2 Lectures: 0 h
Exercises: 0 h
Laboratory exercises: 0 h
Time with supervisor for projects: 40 h (45-minute sessions)
Time for self studies: 160 h (45-minute sessions)
BMEN15 7.5 A 2 2 X E Signal Separation - Independent Components KS KE U W T 2 Lectures: 14 h (45-minute sessions)
Exercises: 28 h (45-minute sessions)
Laboratory exercises: 8 h (45-minute sessions)
Time with supervisor for projects: 0 h
Time for self studies: 150 h (45-minute sessions)
FMSN20 7.5 A 2 2 X E Spatial Statistics with Image Analysis KS KE U W T 2 Lectures: 26 h (45-minute sessions)
Exercises: 0 h
Laboratory exercises: 18 h (45-minute sessions)
Time with supervisor for projects: 5 h (45-minute sessions)
Time for self studies: 150 h (45-minute sessions)
FRTN15 7.5 A 1 1 X E Predictive Control X The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22. KS KE U W T Course on hold Course on hold: The course is not given this academic year, but is planned to be given next academic year.

FRTN15 Predictive Control: The course is cancelled in the academic year 2020/21 but is planned to be given in 2021/22.

Degree Projects - MMSR

The list contains the degree project courses that are included in the MMSR programme.

Course Code Credits Course Name Links KS: Course syllabus in Swedish
KE: Course syllabus in English
U: Archive with course evaluations
W: Course Web Page
T: Examination schedule
FRTM05 30 Degree Project in Automatic Control KS KE U
EDAM01 30 Degree Project in Computer Sciences KS KE U
EITM02 30 Degree Project in Electrical and Information Technology KS KE U W
FMSM05 30 Degree Project in Mathematical Statistics KS KE U
FMAM02 30 Degree Project in Mathematics KS KE U