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Elective Course: Artificial Intelligence, Deep Learning

Title
Elective Course: Artificial Intelligence, Deep Learning
Semester
E2022
Master programme in
Computer Science * / Informatics * / Mathematical Computer Modelling * / Computer Science / Digital Transformation
Type of activity

Course
Teaching language
English
Study regulation

Read about the Master Programme and find the Study Regulations at ruc.dk
REGISTRATION AND STUDY ADMINISTRATIVE
Registration

Sign up for study activities at STADS Online Student Service within the announced registration period, as you can see on the Study administration homepage. When signing up for study activities, please be aware of potential conflicts between study activities or exam dates. The planning of activities at Roskilde University is based on the recommended study programs which do not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programs, an overlap of lectures or exam dates may occur depending on which courses you choose.
Number of participants
ECTS
5
Responsible for the activity
Henning Christiansen (henning@ruc.dk)
Head of study
Henrik Bulskov (bulskov@ruc.dk)
Teachers
Study administration
IMT Studyadministration (imt-studyadministration@ruc.dk)
Exam code(s)
U60466
ACADEMIC CONTENT
Overall objective

With an elective course, the student has the opportunity to specialize in a specific subject area where the student acquires knowledge, skills and competences in order to translate theories, methods and solutions ideas into their own practice in relation to software development. Examples of elective courses: Robotics, AI, internet technologies, programming language, parallel calculation, mobile computers, etc.
Detailed description of content
Course material and Reading list
Overall plan and expected work effort
Format
Evaluation and feedback
Programme
ASSESSMENT
Overall learning outcomes

After completing this course, students will be able to:

  • know and understand a specific subject area in computer science.

  • demonstrate knowledge and understanding of the area’s techniques for designing and constructing software systems that meet specific requirements.

  • show knowledge and understanding of the general principles behind the subject area’s theory, methods, and technological solutions.

  • work on computer science related issues, both independently and in teams, and proficient in new approaches to the subject area in a critical and systematic way and thereby independently take responsibility for one’s own professional development.
Form of examination
Individual oral exam based on a written product

The character limit of the written product is maximum 48,000 characters, including spaces.
The character limits include the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices.

Time allowed for exam including time used for assessment: 20 minutes.
The assessment is an overall assessment of the written product(s) and the subsequent oral examination.

Permitted support and preparation materials for the oral exam: All.

Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Form of Re-examination
Samme som ordinær eksamen / same form as ordinary exam
Type of examination in special cases
Examination and assessment criteria
Exam code(s)
Exam code(s) : U60466
Last changed 12/09/2022

lecture list:

Show lessons for Subclass: 1 Find calendar (1) PDF for print (1)

Monday 12-09-2022 12:15 - 12-09-2022 16:00 in week 37
Artificial Intelligence, Deep Learning (COMP)

Monday 19-09-2022 12:15 - 19-09-2022 16:00 in week 38
Artificial Intelligence, Deep Learning (COMP)

Monday 26-09-2022 12:15 - 26-09-2022 16:00 in week 39
Artificial Intelligence, Deep Learning (COMP)

Monday 03-10-2022 12:15 - 03-10-2022 16:00 in week 40
Artificial Intelligence, Deep Learning (COMP)

Monday 10-10-2022 12:15 - 10-10-2022 16:00 in week 41
Artificial Intelligence, Deep Learning (COMP)

Monday 17-10-2022 12:15 - 17-10-2022 16:00 in week 42
Artificial Intelligence, Deep Learning (COMP)

Monday 24-10-2022 12:15 - 24-10-2022 16:00 in week 43
Artificial Intelligence, Deep Learning (COMP)

Monday 31-10-2022 12:15 - 31-10-2022 16:00 in week 44
Artificial Intelligence, Deep Learning (COMP)

Monday 07-11-2022 12:15 - 07-11-2022 16:00 in week 45
Artificial Intelligence, Deep Learning (COMP)

Monday 14-11-2022 12:15 - 14-11-2022 16:00 in week 46
Artificial Intelligence, Deep Learning (COMP)

Monday 21-11-2022 10:00 - 21-11-2022 10:00 in week 47
Artificial Intelligence, Deep Learning - Hand-in (COMP)

Tuesday 10-01-2023 08:15 - Wednesday 11-01-2023 18:00 in week 02
Artificial Intelligence, Deep Learning - Oral examination (COMP)

Monday 13-02-2023 10:00 - 13-02-2023 10:00 in week 07
Artificial Intelligence, Deep Learning - Reexam - Hand-in (COMP)

Monday 20-02-2023 13:00 - 20-02-2023 15:00 in week 08
Artificial Intelligence, Deep Learning - Oral reexamination (COMP)