Luleå University of Technology
Education
Course
Advanced deep learning

Advanced deep learning

7,5 credits, course, master's level, D7047E

Spring 2025

Application period starts 2025-09-15

For Programme students

LTU-47620

Application period starts 2025-09-15

Advanced deep learning

Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3, LuleåNormal teachingDay-time 50%Spring 2026

Period:Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-47620

Application period starts:2025-09-15

Last day for application:2025-10-15

Entry requirements:Bachelor's degree of at least 180 credits in a relevant area such as Computer Science, Engineering Physics, Electrical Engineering, Information Systems, Systems Science, or a closely related area. The studies shall have included Introductory Programming (for example D0009E Intruoduction to Programming or D0007N Objectoriented programming) and a fundamental Machine Learning course such as D7046E Neural networks and learning machines, or equivalent. Knowledge in English equivalent to English 6.

Selection:The selection is based on 30-285 credits

Application information:

Optional course within programmes. Can be applied for within the optional space of a programme.

Selectable course in the following programmes:

Master Programme in Computer Science and Engineering, DAIS, semester 8
Master Programme in Engineering Physics and Electrical Engineering, FYMS, semester 8
Master Programme in Computer Science and Engineering, DAIN, semester 8

Mandatory course in the following programmes:

Master Programme in Applied AI, semester 2
Master Programme in Applied Artificial Intelligence, semester 6

Application for Freestanding course (En)

LTU-47620

Application period starts 2025-09-15

Advanced deep learning

Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3, LuleåNormal teachingDay-time 50%Spring 2026

Period:Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-47620

Application period starts:2025-09-15

Last day for application:2025-10-15

Selection:The selection is based on 30-285 credits

Application information:

Only a few freestanding places are available. This course is part of a programme.

Application for Exchange students at LTU

LTU-47620

Application period starts 2025-09-15

Advanced deep learning

Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3, LuleåNormal teachingDay-time 50%Spring 2026

Period:Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-47620

Application period starts:2025-09-15

Last day for application:2025-10-15

Selection:The selection is based on 30-285 credits

Application information:

Course offered in English to prospective exchange student, nominated for exchange by home university.

Course syllabus

7,5 credits, course, master's level, D7047E

Spring 2025

Application period starts 2025-09-15

Course syllabus

For Programme students

LTU-47620

Application period starts 2025-09-15

Advanced deep learning

Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3, LuleåNormal teachingDay-time 50%Spring 2026

Period:Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-47620

Application period starts:2025-09-15

Last day for application:2025-10-15

Selection:The selection is based on 30-285 credits

Application information:

Optional course within programmes. Can be applied for within the optional space of a programme.

Selectable course in the following programmes:

Master Programme in Computer Science and Engineering, DAIS, semester 8
Master Programme in Engineering Physics and Electrical Engineering, FYMS, semester 8
Master Programme in Computer Science and Engineering, DAIN, semester 8

Mandatory course in the following programmes:

Master Programme in Applied AI, semester 2
Master Programme in Applied Artificial Intelligence, semester 6

Application for Freestanding course (En)

LTU-47620

Application period starts 2025-09-15

Advanced deep learning

Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3, LuleåNormal teachingDay-time 50%Spring 2026

Period:Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-47620

Application period starts:2025-09-15

Last day for application:2025-10-15

Selection:The selection is based on 30-285 credits

Application information:

Only a few freestanding places are available. This course is part of a programme.

Application for Exchange students at LTU

LTU-47620

Application period starts 2025-09-15

Advanced deep learning

Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3, LuleåNormal teachingDay-time 50%Spring 2026

Period:Period 4 - 4, v. 13 2026 - v. 23 2026, module 2+3

Location:Luleå

Form of study:Day-time 50%

Language:English

Tuition fees:Information for non-EU/EEA students

Application code:LTU-47620

Application period starts:2025-09-15

Last day for application:2025-10-15

Selection:The selection is based on 30-285 credits

Application information:

Course offered in English to prospective exchange student, nominated for exchange by home university.

Kontakt

Marcus Liwicki

Professor and Head of Subject, Deputy vice-chancellor for Artificial intelligence
0920-491006
marcus.liwicki@ltu.se
Marcus Liwicki

Updated: 21 November 2023

Start
Education
Course
Advanced deep learning

Advanced deep learning

For Programme students

Advanced deep learning

Application for Freestanding course (En)

Advanced deep learning

Application for Exchange students at LTU

Advanced deep learning

For Programme students

Advanced deep learning

Application for Freestanding course (En)

Advanced deep learning

Application for Exchange students at LTU

Advanced deep learning

Kontakt

Marcus Liwicki

Contact

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