lunduniversity.lu.se

LTH Courses

Faculty of Engineering | Lund University

Courses for MMSR Programme and Class H21

Master's programme in Machine Learning, Systems and Control  H21     

Study Year 1, Academic Year 2021/22 (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
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
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 X 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, Academic Year 2021/22 (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
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
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 X The course is to be studied together with MASM11. 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)

FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.

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)
FRTN75 7.5 A 1 1 X E Learning-Based Control X Replaces FRTN15 Predictive Control. KS KE U W T 3 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)
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)

FRTN75 Learning-Based Control: Replaces FRTN15 Predictive Control.