Advanced deep learning
Application
Application
Luleå, Normal teaching, Spring 2020
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 - Interactive Systems, semester 8
- Master Programme in Engineering Physics and Electrical Engineering - Physical Measurements and Sensor Systems, semester 8
Entry requirements
In order to meet the general entry requirements, you must hold a 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 number of credits, 180 credits, should include at least 60 hp of the courses in IT/CS/IS areas, including Introductory Programming. However, the course in Advanced Deep Learning as well requires the completion of a basic or fundamental Machine Learning course such as the below, or equivalent:
The course in Advanced Deep Learning also requires a completed basic or fundamental Machine Learning course such as D7046E Neural networks and learning machines, or equivalent
Documented skills in English language
More information about English language requirements [http://www.ltu.se/edu/bli-student/Application-process/English-language-requirements-1.109316?l=en].
Selection
The selection is based on 20-285 credits
Application
Luleå, Normal teaching, Spring 2020
Application information
Course offered in English to prospective exchange student, nominated for exchange by home university.
Entry requirements
In order to meet the general entry requirements, you must hold a 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 number of credits, 180 credits, should include at least 60 hp of the courses in IT/CS/IS areas, including Introductory Programming. However, the course in Advanced Deep Learning as well requires the completion of a basic or fundamental Machine Learning course such as the below, or equivalent:
The course in Advanced Deep Learning also requires a completed basic or fundamental Machine Learning course such as D7046E Neural networks and learning machines, or equivalent
Documented skills in English language
More information about English language requirements [http://www.ltu.se/edu/bli-student/Application-process/English-language-requirements-1.109316?l=en].
Selection
The selection is based on 20-285 credits
Do you want to know more about the course?
The course syllabus includes a description of the course and literature to be used. Within ten weeks before the course starts, a current course syllabus is published.
FAQs
Can't find the answer to your question?
[/_special-polopoly/FormArticle.htm?a=115338&l=en]
Contact
For detailed questions about the course please do not hesitate to contact us.
