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LTH Courses

Faculty of Engineering | Lund University

Courses 2021/22 for D Programme

Computer Science and Engineering  21/22     

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
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
sp4
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EDAA60 3 G1 - S Computer Introduction KS KE U W T 6 0 6 0 68
FMAB65 7.5 G1 - S Calculus in One Variable B1 KS KE U W T 50 30 0 0 120
EDAA45 7.5 G1 - S Introduction to Programming KS KE U W T 24 14 12 0 40 24 14 10 0 62
FMAB70 7.5 G1 - S Calculus in One Variable B2 KS KE U W T 50 30 0 0 120
EXTA65 4.5 G1 - S Cognition KS KE U W T 20 12 0 0 84
FAFA60 5 G1 - S Photonics KS KE U W T 24 12 8 0 80
EDAA01 7.5 G1 - S Programming - Second Course KS KE U W T 28 0 14 0 158
EDAA35 7 G1 - S Evaluation of Software Systems KS KE U T 14 2 12 0 14 0 4 0 6 135
EDAA40 5 G1 X E Discrete Structures in Computer Science X Can be replaced by EDAA75 Discrete Structures. KS KE U W T 18 14 10 0 91
FMAB20 6 G1 - S Linear Algebra KS KE U W T 40 16 0 0 106

EDAA40 Discrete Structures in Computer Science: Can be replaced by EDAA75 Discrete Structures.

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
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
sp4
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EDAA75 7.5 G1 X E Discrete Structures X Can replace EDAA40 Discrete Structures in Computer Science. KS KE U W T 24 14 12 0 150

EDAA75 Discrete Structures: Can replace EDAA40 Discrete Structures in Computer Science.

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
  21/22
sp1
21/22
sp2
21/22
sp3
21/22
sp4
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
FMAB30 6 G1 - S Calculus in Several Variables KS KE U W T 44 16 2 0 100
EDAF60 4.5 G2 - S Object-oriented Modelling and Design KS KE U W T 14 10 0 2 94
EITF65 9 G2 - S Design of Digital Circuits - A Systems Approach KS KE U W T 28 28 12 0 71 10 14 12 0 63
EITF45 7.5 G2 - S Computer Communication KS KE U W T 18 16 8 2 156
EDAF45 7.5 G2 - S Software Development in Teams - Project KS KE U W T 20 0 10 0 50 2 16 48 0 54
EITF70 6 G2 - S Computer Organization KS KE U W T 14 8 16 0 122
FMAF10 5 G2 - S Applied Mathematics - Linear systems X Can be replaced by FMAF01 and FMAF05 together. Only one of the courses FMAF10 and FMAF05 may be included in a degree. KS KE U W T 26 10 4 0 93
EDAF05 5 G2 X S Algorithms, Data Structures and Complexity KS KE U W T 20 0 12 0 100
EITA10 5 G1 - S Electronics KS KE U W T 28 0 8 0 97
EDAF95 5 G2 - E Basics of Functional Programming X Can be replaced by EDAN40 Functional Programming. KS KE U W T 20 6 8 0 100

FMAF10 Applied Mathematics - Linear systems: Can be replaced by FMAF01 and FMAF05 together. Only one of the courses FMAF10 and FMAF05 may be included in a degree.
EDAF95 Basics of Functional Programming: Can be replaced by EDAN40 Functional Programming.

Study Year 2 (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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
FMAF01 7 G2 - E1 Mathematics - Analytic Functions X Can together with FMAF05 replace FMAF10. Can also be taken as an elective course in the 4th or 5th year. KS KE U W T 42 24 0 1 128
EDAN40 7.5 A X E Functional Programming X Can replace EDAF95 Basics of Functional Programming. KS KE U W T 28 6 0 0 166
FMAF05 7 G2 - E1 Mathematics - Systems and Transforms X Can together with FMAF01 replace FMAF10. Only one of the courses FMAF05 and FMAF10 may be included in a degree. KS KE U W T 40 16 0 1 130

FMAF01 Mathematics - Analytic Functions: Can together with FMAF05 replace FMAF10. Can also be taken as an elective course in the 4th or 5th year.
EDAN40 Functional Programming: Can replace EDAF95 Basics of Functional Programming.
FMAF05 Mathematics - Systems and Transforms: Can together with FMAF01 replace FMAF10. Only one of the courses FMAF05 and FMAF10 may be included in a degree.

Study Year 3 (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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EDAP10 7.5 A - S Concurrent Programming KS KE U W T 28 0 12 0 160
FRTF05 7.5 G2 - S Automatic Control, Basic Course KS KE U W T 30 30 12 0 128
ETSF25 7.5 G2 - S The Business of Software KS KE U W T 20 12 0 3 165
FMSF20 7.5 G2 - S Mathematical Statistics, Basic Course KS KE U W T 26 16 8 0 140
EITA25 7.5 G1 X S Computer Security KS KE U W T 28 0 12 2 160
FMNF05 6 G2 X E1 Numerical Analysis KS KE U W T 48 12 0 3 100
FMIF45 4 G2 - S Sustainability and Resource Use with Perspectives on Information and Communication Technology KS KE U W T 24 2 0 0 26 0 8 0 1 46
EITF95 4.5 G2 X S Queuing System KS KE U W T 14 22 8 0 76
EITA50 7.5 G1 - E1 Signal Processing in Multimedia X Students admitted to the China specialisation takes this course in the autumn of year three, in China. KS KE U W T 32 24 8 0 136

EITA50 Signal Processing in Multimedia: Students admitted to the China specialisation takes this course in the autumn of year three, in China.

Specialisation bg - Images and Computer Graphics

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
FMAN20 7.5 A V 4 4 X E1 Image Analysis KS KE U W T 32 0 0 2 166
EDAF80 7.5 G2 V 4 4 X E Computer Graphics KS KE U W T 26 0 10 0 160
FMSF10 7.5 G2 V 4 4 X E Stationary Stochastic Processes X The course is to be studied together with MASC04 KS KE U W T 22 16 6 0 145
FMAN71 7.5 A V 4 4 X E1 Matrix Theory KS KE U W T 18 10 0 1 56 18 6 0 1 90
EDAN35 7.5 A V 4 4 X E High Performance Computer Graphics KS KE U W T 28 0 12 0 160
MAMN25 7.5 A V 4 4 X E1 Interaction Design KS KE U W T 30 14 0 14 142
EXTQ40 7.5 A V 4 4 - E1 Introduction to Artificial Neural Networks and Deep Learning KS KE U W T 34 10 30 0 126
FMAN40 3 A V 4 4 X E1 Project in Applied Mathematics KS KE U W T 0 0 0 10 70
EDAN95 7.5 A V 4 4 - E Applied Machine Learning KS KE U W T 28 0 14 0 156
FMAN95 7.5 A V 4 4 X E1 Computer Vision KS KE U W T 32 0 0 2 166
MAMF45 7.5 G2 V 4 4 - E Virtual Reality in Theory and Practice KS KE U W T 16 16 0 0 68 4 4 0 22 70
MAMN01 7.5 A V 4 4 - S Advanced Interaction Design KS KE U T 7 14 0 0 179
FMAN45 7.5 A V 4 4 - E1 Machine Learning KS KE U W T 28 0 0 2 170
FMAN40 3 A V 4 4 X E1 Project in Applied Mathematics KS KE U W T 0 0 0 10 70
ETIF10 7.5 G2 V 4 4 X E1 Signal Processing - Design and Implementation KS KE U W T 22 22 8 0 148
FMSN20 7.5 A V 5 4 X E Spatial Statistics with Image Analysis X The course is to be studied together with MASM25 KS KE U W T 26 0 18 5 150

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04
FMSN20 Spatial Statistics with Image Analysis: The course is to be studied together with MASM25

Specialisation hs - Hardware-Centric System Development

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EITF35 7.5 G2 V 4 4 X E Introduction to Structured VLSI Design KS KE U W T 28 0 48 0 124
EITF50 7.5 G2 V 4 4 X E An Introduction to Wireless Systems KS KE U W T 18 18 12 0 152
EIEN45 10 A V 4 4 X E1 Applied Mechatronics KS KE U W T 22 0 12 8 90 14 4 12 14 90
EITF20 7.5 G2 V 4 4 X E Computer Architecture KS KE U W T 20 0 16 0 164
EDAG01 7.5 G2 V 4 4 X S Efficient C X EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01. KS KE U W T 28 12 12 0 148
EDAP25 7.5 A V 4 4 X E Distributed Systems KS KE U T 28 8 8 0 156
ETIN45 7.5 A V 4 4 X E DSP-design KS KE U W T 28 12 8 6 140
EITN30 7.5 A V 4 4 X E1 Internet Inside KS KE U W T 10 0 28 2 160
ESSF10 5 G2 V 4 4 - S Electrical Measurements KS KE U W T 6 20 20 3 70
BMEN20 7.5 A V 4 4 X E1 Project Course in Signal Processing – from Idea to App KS KE U W T 8 0 12 8 172
FRTN01 10 A V 4 4 X E Real-Time Systems KS KE U W T 34 22 12 0 132 0 0 0 12 54
EDAN15 7.5 A V 4 4 X E Design of Embedded Systems KS KE U W T 24 4 14 0 150
BMEF10 7.5 G2 V 5 4 - S Transducer Technology KS KE U W T 42 0 12 0 146
EEMN10 7.5 A V 5 4 X E1 Computerised Measurement Systems KS KE U W T 0 28 12 60 85

EDAG01 Efficient C: EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.

Specialisation is - Embedded Systems

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EITF35 7.5 G2 V 4 4 X E Introduction to Structured VLSI Design KS KE U W T 28 0 48 0 124
EDAN65 7.5 A V 4 4 X E1 Compilers KS KE U W T 28 0 12 0 160
EIEN45 10 A V 4 4 X E1 Applied Mechatronics KS KE U W T 22 0 12 8 90 14 4 12 14 90
EITF20 7.5 G2 V 4 4 X E Computer Architecture KS KE U W T 20 0 16 0 164
EDAG01 7.5 G2 V 4 4 X S Efficient C X EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01. KS KE U W T 28 12 12 0 148
FRTN40 7.5 A V 4 4 X E Project in Automatic Control KS KE U W T 0 0 0 40 160
EITN30 7.5 A V 4 4 X E1 Internet Inside KS KE U W T 10 0 28 2 160
BMEN20 7.5 A V 4 4 X E1 Project Course in Signal Processing – from Idea to App KS KE U W T 8 0 12 8 172
FRTN01 10 A V 4 4 X E Real-Time Systems KS KE U W T 34 22 12 0 132 0 0 0 12 54
EDAN15 7.5 A V 4 4 X E Design of Embedded Systems KS KE U W T 24 4 14 0 150
EDAF35 7.5 G2 V 4 4 X E1 Operating Systems KS KE U W T 24 0 8 0 168
EDAN26 7.5 A V 5 4 - S Multicore Programming X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 24 0 12 0 150
EDAN75 7.5 A V 5 4 X S Optimising Compilers X The course is offered every other academic year and will next be offered in 2022/23. 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.

EDAG01 Efficient C: EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.
FRTN40 Project in Automatic Control:
EDAN26 Multicore Programming: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAN75 Optimising Compilers: The course is offered every other academic year and will next be offered in 2022/23.

Specialisation mai - Machine Intelligence

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EDAP20 7.5 A V 4 4 X E Intelligent Autonomous Systems KS KE U W T 24 0 30 0 144
EDAN20 7.5 A V 4 4 X E Language Technology KS KE U W T 20 0 14 0 160
FMSF10 7.5 G2 V 4 4 X E Stationary Stochastic Processes X The course is to be studied together with MASC04 KS KE U W T 22 16 6 0 145
FRTF20 7.5 G2 V 4 4 X E Applied Robotics KS KE U W T 28 22 8 20 100
FRTN65 7.5 A V 4 4 X E Modelling and Learning from Data X Replaces FRTN35 System Identification. KS KE U W T 16 10 4 0 70 14 10 8 0 68
EXTQ40 7.5 A V 4 4 - E1 Introduction to Artificial Neural Networks and Deep Learning KS KE U W T 34 10 30 0 126
FMAN61 7.5 A V 4 4 X E1 Optimization KS KE U W T 32 14 4 2 148
EDAN95 7.5 A V 4 4 - E Applied Machine Learning KS KE U W T 28 0 14 0 156
EDAP01 7.5 A V 4 4 X E Artificial Intelligence KS KE U W T 28 0 0 0 170
FMAN95 7.5 A V 4 4 X E1 Computer Vision KS KE U W T 32 0 0 2 166
FRTN75 7.5 A V 4 4 X E Learning-Based Control X Replaces FRTN15 Predictive Control. KS KE U W T 28 28 12 0 130
FMAN45 7.5 A V 4 4 - E1 Machine Learning KS KE U W T 28 0 0 2 170
FRTN50 7.5 A V 5 4 X E Optimization for Learning KS KE U W T 28 28 0 10 130
VFTN75 7.5 A V 5 4 X E Smart City Governance: AI Ethics in a Spatial Context KS KE U W T 22 24 0 4 150

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04
FRTN65 Modelling and Learning from Data: Replaces FRTN35 System Identification.
FRTN75 Learning-Based Control: Replaces FRTN15 Predictive Control.

Specialisation ns - Networks and Security

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EITN50 7.5 A V 4 4 X E Advanced Computer Security KS KE U W T 26 0 0 4 170
EITG05 7.5 G2 V 4 4 X E Digital Communications KS KE U W T 24 28 4 0 144
FMSF15 7.5 G2 V 4 4 X E Markov Processes X The course is to be studied together with MASC03. KS KE U W T 26 16 6 0 140
EITF05 4 G2 V 4 4 - S Web Security KS KE U W T 14 6 0 3 84
EITN41 7.5 A V 4 4 X E Advanced Web Security KS KE U W T 14 0 0 2 184
ETTN01 7.5 A V 4 4 X E Digital Communications, Advanced Course KS KE U W T 20 24 4 5 147
EITP10 7.5 A V 4 4 X E High Performance Fiber Networks KS KE U T 20 14 0 0 166
ETSF10 7.5 G2 V 4 4 X E Internet Protocols KS KE U W T 13 6 0 4 177
EITN30 7.5 A V 4 4 X E1 Internet Inside KS KE U W T 10 0 28 2 160
EITP20 7.5 A V 4 4 X E Secure Systems Engineering KS KE U T 26 0 0 4 170
ETSN10 7.5 A V 4 4 X E Network Architecture and Performance KS KE U W T 26 13 2 13 146
ETIN85 7.5 A V 4 4 X E Advanced Cryptography KS KE U T 28 14 0 2 156
EITN45 7.5 A V 4 4 X E Information Theory KS KE U W T 26 14 0 0 160
EITN95 7.5 A V 4 4 X E1 Simulation KS KE U W T 18 0 6 4 172
EDIN01 7.5 A V 5 4 X E1 Cryptography KS KE U W T 36 14 0 2 148

FMSF15 Markov Processes: The course is to be studied together with MASC03.

Specialisation pv - Software

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EDAN65 7.5 A V 4 4 X E1 Compilers KS KE U W T 28 0 12 0 160
EDAN70 7.5 A V 4 4 X E1 Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
EDAN20 7.5 A V 4 4 X E Language Technology KS KE U W T 20 0 14 0 160
EDAN01 7.5 A V 4 4 X E1 Constraint Programming KS KE U W T 20 0 12 0 160
FMAB75 7.5 G1 V 4 4 X E1 Discrete Mathematics KS KE U W T 54 0 0 2 144
EDAG01 7.5 G2 V 4 4 X S Efficient C X EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01. KS KE U W T 28 12 12 0 148
EDAP05 7.5 A V 4 4 X E Concepts of Programming Languages X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 28 0 12 0 160
EDAN70 7.5 A V 4 4 X E1 Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
EDAP01 7.5 A V 4 4 X E Artificial Intelligence KS KE U W T 28 0 0 0 170
FMAF35 6 G2 V 4 4 X E1 Linear and Combinatorial Optimization KS KE U W T 26 0 4 1 130
EDAN70 7.5 A V 4 4 X E1 Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
EDAF50 7.5 G2 V 4 4 X S C++ Programming KS KE U W T 24 0 8 0 100 0 0 0 0 60
EDAF75 7.5 G2 V 4 4 X S Database Technology KS KE U W T 24 2 8 0 112 0 0 0 0 50
FMAB75 7.5 G1 V 4 4 X E1 Discrete Mathematics KS KE U W T 54 0 0 2 144
EDAN70 7.5 A V 4 4 X E1 Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
EDAN26 7.5 A V 5 4 - S Multicore Programming X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 24 0 12 0 150
EDAP15 7.5 A V 4 4 X E Program Analysis X The course is offered every other academic year and will next be given in 2022/23. 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.
EDAN75 7.5 A V 5 4 X S Optimising Compilers X The course is offered every other academic year and will next be offered in 2022/23. 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.

EDAN70 Project in Computer Science: The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.
EDAG01 Efficient C: EDAA25 and EDAF15 can not be included in the degree at the same time as EDAG01.
EDAP05 Concepts of Programming Languages: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAN26 Multicore Programming: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EDAP15 Program Analysis: The course is offered every other academic year and will next be given in 2022/23.
EDAN75 Optimising Compilers: The course is offered every other academic year and will next be offered in 2022/23.

Specialisation se - Software Engineering

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
MIOA12 6 G1 V 4 4 - S Managerial Economics, Basic Course X Only one of the courses MIO012, MIOA12 and MIOA01 may be included in a degree. KS KE U W T 50 12 5 0 93
ETSN05 7.5 A V 4 4 - S Software Development for Large Systems KS KE U W T 10 8 4 10 168
EITF05 4 G2 V 4 4 - S Web Security KS KE U W T 14 6 0 3 84
EDAN01 7.5 A V 4 4 X E1 Constraint Programming KS KE U W T 20 0 12 0 160
MIOA12 6 G1 V 4 4 - S Managerial Economics, Basic Course X Only one of the courses MIO012, MIOA12 and MIOA01 may be included in a degree. KS KE U W T 50 12 5 0 93
MAMN25 7.5 A V 4 4 X E1 Interaction Design KS KE U W T 30 14 0 14 142
EDAN10 7.5 A V 4 4 X E Configuration Management KS KE U W T 28 14 12 2 144
ETSN20 7.5 A V 4 4 X E Software Testing KS KE U W T 16 3 8 1 170
EDAN80 9 A V 4 4 - S Coaching of Programming Teams KS KE U W T 14 0 0 0 26 14 16 48 4 118
EITP20 7.5 A V 4 4 X E Secure Systems Engineering KS KE U T 26 0 0 4 170
ETSN15 7.5 A V 4 4 - S Requirements Engineering KS KE U W T 16 10 8 14 150
EDAF75 7.5 G2 V 4 4 X S Database Technology KS KE U W T 24 2 8 0 112 0 0 0 0 50
MIOF21 7.5 G2 V 4 4 - S Management Organization KS KE U W T 52 0 16 1 131
MAMF50 7.5 G2 V 5 4 - S Usability Evaluation KS KE U W T 20 8 0 30 142
MAMN50 7.5 A V 5 4 X E Theoretical Perspectives in Interaction Design KS KE U W T 8 0 0 8 50 16 0 0 8 110

MIOA12 Managerial Economics, Basic Course: Only one of the courses MIO012, MIOA12 and MIOA01 may be included in a degree.

Specialisation ssr - Systems, Signals and Control

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
Mand./ Elect. The course is
O = Mandatory,
A = Elective mandatory,
V = Elective, or
E = Externally elective
in the programme and spec.
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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EITG05 7.5 G2 V 4 4 X E Digital Communications KS KE U W T 24 28 4 0 144
EITN60 7.5 A V 4 4 X E Optimum and Adaptive Signal Processing KS KE U W T 16 28 8 0 148
FRTN55 7.5 A V 4 4 X E Automatic Control, Advanced Course KS KE U W T 30 28 12 0 130
FMSF10 7.5 G2 V 4 4 X E Stationary Stochastic Processes X The course is to be studied together with MASC04 KS KE U W T 22 16 6 0 145
FMAN71 7.5 A V 4 4 X E1 Matrix Theory KS KE U W T 18 10 0 1 56 18 6 0 1 90
FRTN65 7.5 A V 4 4 X E Modelling and Learning from Data X Replaces FRTN35 System Identification. KS KE U W T 16 10 4 0 70 14 10 8 0 68
ETTN01 7.5 A V 4 4 X E Digital Communications, Advanced Course KS KE U W T 20 24 4 5 147
FMSN45 7.5 A V 4 4 X E Mathematical Statistics, Time Series Analysis X The course is to be studied together with MASM17. KS KE U W T 24 12 12 5 120
FRTN40 7.5 A V 4 4 X E Project in Automatic Control KS KE U W T 0 0 0 40 160
BMEN15 7.5 A V 4 4 X E Signal Separation - Independent Components KS KE U W T 14 28 8 0 150
FRTN75 7.5 A V 4 4 X E Learning-Based Control X Replaces FRTN15 Predictive Control. KS KE U W T 28 28 12 0 130
BMEN20 7.5 A V 4 4 X E1 Project Course in Signal Processing – from Idea to App KS KE U W T 8 0 12 8 172
FRTN01 10 A V 4 4 X E Real-Time Systems KS KE U W T 34 22 12 0 132 0 0 0 12 54
ETIF10 7.5 G2 V 4 4 X E1 Signal Processing - Design and Implementation KS KE U W T 22 22 8 0 148

FMSF10 Stationary Stochastic Processes: The course is to be studied together with MASC04
FRTN65 Modelling and Learning from Data: Replaces FRTN35 System Identification.
FMSN45 Mathematical Statistics, Time Series Analysis: The course is to be studied together with MASM17.
FRTN40 Project in Automatic Control:
FRTN75 Learning-Based Control: Replaces FRTN15 Predictive Control.

Elective Courses - D

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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
FMAA60 7.5 G1 1 1 - S Introduction to Real Analysis KS KE U W T 26 0 0 0 174
FMNN25 7.5 A 4 4 X E1 Advanced Course in Numerical Algorithms with Python/SciPy KS KE U W T 28 0 0 3 169
EDAN90 7.5 A 4 4 X E1 Advanced Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
ETIN20 7.5 A 4 4 X E Digital IC-design KS KE U W T 24 12 12 0 150
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
MAMN40 7.5 A 4 4 - S Working Environment, Project KS KE U W T 0 0 0 20 60 0 0 0 20 60
EITF80 9 G2 4 4 X E Electromagnetic Fields KS KE U W T 16 16 0 0 64 26 24 0 0 104
FMIN25 7.5 A 4 4 - S Energy Systems Analysis: Energy, Environment and Natural Resources KS KE U W T 18 6 0 0 76 18 6 0 0 76
FMAN15 7.5 A 4 4 X E Nonlinear Dynamical Systems KS KE U W T 16 6 0 0 78 14 8 0 0 78
MVKP05 7.5 A 4 4 X E1 Project - Formula Student KS KE U W T 0 0 0 25 75 0 0 0 25 75
EIEN30 7.5 A 4 4 X E1 Project in Industrial Electrical Engineering and Automation KS KE U W T 0 0 0 21 88 0 0 0 21 88
TNSF05 7.5 G2 4 4 - S Rehabilitation Engineering KS KE U W T 16 0 6 2 96 0 4 0 12 64
EDAN90 7.5 A 4 4 X E1 Advanced Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
EITP15 7.5 A 4 4 X E1 Printed Circuit Board and Prototyping KS KE U W T 6 0 4 10 180
FMAN30 7.5 A 4 4 X E1 Medical Image Analysis KS KE U W T 32 0 0 3 165
FRTN05 7.5 A 4 4 X E Non-Linear Control and Servo Systems KS KE U W T 28 28 12 0 130
FMAN35 3 A 4 4 X E1 Project in Mathematics KS KE U W T 0 0 0 10 70
TNSN01 7.5 A 4 4 X E1 Service Robotics KS KE U W T 12 6 15 15 150
FMAN10 7.5 A 4 4 X E1 Algebraic Structures KS KE U W T 28 10 0 0 162
EIEN50 7.5 A 4 4 X E1 Automation KS KE U W T 42 10 12 8 135
EDAN90 7.5 A 4 4 X E1 Advanced Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
MIOA01 9 G1 4 4 - S Managerial Economics, Basic Course X Only one of the courses MIO012, MIOA12 and MIOA01 may be included in a degree. KS KE U W T 60 12 5 1 162
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
FMAN65 6 A 4 4 - S Mathematical Structures KS KE U W T 28 14 0 0 118
FMSN50 7.5 A 4 4 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 28 0 12 5 140
ETIA10 7.5 G1 4 4 X E Patent and Intellectual Property Rights KS KE U W T 28 6 3 0 160
FRTF15 3 G2 4 4 - S Control Theory KS KE U W T 12 12 0 12 44
FMNN05 7.5 A 4 4 X E1 Simulation Tools KS KE U W T 28 0 0 3 169
FMSN35 7.5 A 4 4 X E Stationary and Non-stationary Spectral Analysis X The course is offered every other academic year and will be given in 2021/22, 2023/24. KS KE U W T 18 0 0 5 170
EXTG45 7.5 G2 4 4 - S Technology Supported Communication KS KE U W T 20 50 0 0 150
EITN85 7.5 A 4 4 X E Wireless Communication Channels KS KE U W T 28 14 0 0 158
EDAF90 7.5 G2 4 4 - S Web Programming KS KE U T 20 0 8 4 168
MAMN40 7.5 A 4 4 - S Working Environment, Project KS KE U W T 0 0 0 20 60 0 0 0 20 60
MAMF21 7.5 G2 4 4 - S Working Environment, Occupational Health and Safety KS KE U W T 10 0 0 30 65 0 0 0 30 65
FMIN20 7.5 A 4 4 - S Energy Systems Analysis: Renewable Sources of Energy KS KE U W T 28 12 0 1 92 14 4 0 1 48
ETIN35 7.5 A 4 4 X E IC-project 1 KS KE U W T 5 0 20 5 70 0 0 0 5 95
FMAN55 7.5 A 4 4 - S Applied Mathematics KS KE U W T 24 12 2 0 62 22 14 2 0 62
EIEN01 10 A 4 4 X E1 Mechatronics, Industrial Product Design KS KE U W T 0 0 0 14 120 0 0 0 14 120
MVKP05 7.5 A 4 4 X E1 Project - Formula Student KS KE U W T 0 0 0 25 75 0 0 0 25 75
EIEN30 7.5 A 4 4 X E1 Project in Industrial Electrical Engineering and Automation KS KE U W T 0 0 0 21 88 0 0 0 21 88
EITA05 4.5 G1 4 4 - S History of Technology KS KE U W T 14 3 0 0 40 16 4 0 0 40
TNSF10 7.5 G2 4 4 X E1 Universal Design, Theory and Project KS KE U W T 10 8 4 8 128 0 8 0 4 30
FMAN25 7.5 A 4 4 X E1 Calculus of Variations KS KE U W T 18 0 0 0 82 16 0 0 0 84
EIEN35 7.5 A 4 4 X E1 Automation for Complex Systems KS KE U W T 42 0 60 20 70
EDAN90 7.5 A 4 4 X E1 Advanced Project in Computer Science X The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area. KS KE U W T 2 4 0 12 182
EITN75 7.5 A 4 4 X E Wireless System Design Principles KS KE U W T 28 14 4 0 154
FMAN90 7.5 A 4 4 X E1 Advanced Course in a Selected Area of Mathematics KS KE U W T 28 0 0 1 171
FMSF65 7.5 G2 4 4 X E Design of Experiments KS KE U W T 14 14 14 1 150
MIOF25 6 G2 4 4 - S Managerial Economics, Advanced Course KS KE U W T 36 14 8 1 101
KIIF01 7.5 G2 4 4 X E1 Industrial Environmental Management KS KE U W T 28 0 0 32 80
IYT000 15 G2 4 3 - S Engineering Training Course KS KE U W 0 0 0 0 400
ESSF20 4.5 G2 4 4 - S Physics of Devices KS KE U W T 30 12 8 0 70
MAMN30 7.5 A 4 4 - S Management, Work Organisation and Project Management KS KE U W T 30 0 0 28 142
FMSN30 7.5 A 4 4 X E Linear and Logistic Regression KS KE U W T 24 0 26 2 120
BMEN01 7.5 A 4 4 X E1 Biomedical Signal Processing KS KE U W T 14 14 0 7 165
EEMN01 7.5 A 4 4 X E1 Micro Sensors X Re-examination set by agreement KS KE U W T 14 0 28 60 108
FRTN30 7.5 A 4 4 X E Network Dynamics KS KE U W T 28 28 16 0 130
FMAN35 3 A 4 4 X E1 Project in Mathematics KS KE U W T 0 0 0 10 70
FRTN70 7.5 A 4 4 X E Project in Systems, Control and Learning KS KE U W T 0 0 0 40 160
FMSN55 7.5 A 4 4 X E Statistical Modelling of Extreme Values KS KE U W T 28 14 9 1 120
EITP30 7.5 A 5 4 X E Modern Wireless Systems - 5G and Beyond KS KE U W T 28 14 6 8 144
EITN10 7.5 A 5 4 X E Multiple Antenna Systems KS KE U W T 28 14 0 0 158
EITN35 7.5 A 5 4 - E1 Advanced Course in Electrical and Information Technology X The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved. KS KE U W T 0 0 0 0 200
MION25 7.5 A 5 4 - S Technology Strategy KS KE U W T 36 8 0 3 153
ETIN40 7.5 A 5 4 X E IC-project 2 KS KE U W T 2 0 0 3 95 2 0 0 2 96
EITN21 7.5 A 5 4 X E Project in Wireless Communication KS KE U W T 10 0 0 12 78 4 0 0 24 72
EEMN05 7.5 A 5 4 X E1 EMC, Noise and Noise Reduction KS KE U W T 14 14 12 60 85
INNA01 7.5 G1 5 5 X E Entrepreneurship - how to Build a Scalable Start-up KS KE U W T 20 42 0 0 145
EITN70 7.5 A 5 4 X E Channel Coding for Reliable Communication KS KE U W T 28 14 0 2 156
MIOF15 7.5 G2 5 4 - S Marketing KS KE U W T 34 6 0 6 154
EEMF05 7.5 G2 5 4 X E1 Biomedical Measurements X Reexam date to be set by agreement. KS KE U W T 42 0 28 0 130
EITN35 7.5 A 5 4 - E1 Advanced Course in Electrical and Information Technology X The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved. KS KE U W T 0 0 0 0 200
EITN35 X The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved. 0 0 0 0 200
EEMN15 7.5 A 5 4 X E1 Ultrasound Physics and Technology X Re-examination set by agreement. KS KE U W T 28 14 28 0 66
EITN35 7.5 A 5 4 - E1 Advanced Course in Electrical and Information Technology X The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved. KS KE U W T 0 0 0 0 200
MAMN10 7.5 A 5 4 - S Interaction 1: Neuro Modelling, Cognitive Robotics and Agents X The course is offered every other academic year and will next be offered in 2022/23. 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.
MAMN15 7.5 A 5 4 - S Interaction 2: Virtuality and Cognitive Modelling X The course is offered every other academic year and will next be offered in 2022/23. 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.

EDAN90 Advanced Project in Computer Science: The course is given once per study period and is open for zero or more project areas each course instance. The prerequisites depend on the project area.
MIOA01 Managerial Economics, Basic Course: Only one of the courses MIO012, MIOA12 and MIOA01 may be included in a degree.
FMSN50 Monte Carlo and Empirical Methods for Stochastic Inference: The course is to be studied together with MASM11.
FMSN35 Stationary and Non-stationary Spectral Analysis: The course is offered every other academic year and will be given in 2021/22, 2023/24.
EEMN01 Micro Sensors: Re-examination set by agreement
FRTN70 Project in Systems, Control and Learning:
EITN35 Advanced Course in Electrical and Information Technology: The course starts only after agreement with the department. The course is not linked to any specific study period. The information on hours depends on the course running over a study period. Individual study plans are to be set up and approved.
EEMF05 Biomedical Measurements: Reexam date to be set by agreement.
EEMN15 Ultrasound Physics and Technology: Re-examination set by agreement.
MAMN10 Interaction 1: Neuro Modelling, Cognitive Robotics and Agents: The course is offered every other academic year and will next be offered in 2022/23.
MAMN15 Interaction 2: Virtuality and Cognitive Modelling: The course is offered every other academic year and will next be offered in 2022/23.

Externally Elective Courses - D

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
F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions) F Lectures h (45-minute sessions) O Exercises h (45-minute sessions) L Laboratory exercises h (45-minute sessions) H Time with supervisor for projects h (45-minute sessions) S Time for self studies h (45-minute sessions)
EXTF60 15 G2 3 3 - E Introductory Course in Chinese for Engineers, Part 2 KS KE U W T 0 0 0 0 200 0 0 0 0 200
GEMA20 7.5 G1 4 1 - E English for Engineers KS KE U W T 30 0 0 0 70 20 0 0 0 80
GEMA25 7.5 G1 4 1 - S German for Engineers KS KE U W T 0 40 0 0 60 0 40 0 0 60
GEMA20 7.5 G1 4 1 - E English for Engineers KS KE U W T 30 0 0 0 70 20 0 0 0 80
GEMA01 7.5 G1 4 1 - S French for Engineers: Language, Culture and Society, First Course KS KE U W T 0 26 0 0 74 0 26 0 0 74
GEMA70 15 G1 4 1 - S Japanese for Engineers KS KE U W T 0 34 0 0 165 0 32 0 0 165
GEMA65 7.5 G1 4 1 - S Chinese for Engineers KS KE U W T 0 20 0 0 80 0 20 0 0 80

Bachelor's Projects - D

The list contains the bachelor's projects that are included in the D 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
EDAL01 15 Bachelor Project in Computer Science KS KE U W
EITL01 15 Bachelor Project in Electrical and Information Technology KS KE U W
MAML15 15 Bachelor Project in Interaction Design KS KE U
FMAL01 15 Bachelor Project in Mathematics KS KE U
FMSL01 15 Bachelor Project in Mathematical Statistics KS KE U W
FMNL01 15 Bachelor Project in Numerical Analysis KS KE U W
FRTL01 15 Bachelor Project in Automatic Control KS KE U

Degree Projects - D

The list contains the degree project courses that are included in the D 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
EDAM05 30 Degree Project in Computer Sciences for Engineers KS KE U W
BMEM05 30 Degree Project in Electrical Measurements KS KE U W
EITM01 30 Degree Project in Electrical and Information Technology KS KE U W
PHYM01 30 Degree Project in Physics KS KE U W
EIEM01 30 Degree Project in Industrial Electrical Engineering and Automation KS KE U W
MAMM01 30 Degree Project in Interaction Design KS KE U W
FMAM05 30 Degree Project in Mathematics for Engineers KS KE U W
FMSM01 30 Degree Project in Mathematical Statistics for Engineers KS KE U W
FMNM01 30 Degree Project in Numerical Analysis KS KE U W
MIOM05 30 Degree Project in Production Management KS KE U W
FRTM01 30 Degree Project in Automatic Control KS KE U W
TNSM01 30 Degree Project in Rehabilitation Engineering KS KE U W