Computer Science, Probabilistic Robotics, Second Cycle, 7,5 Credits

The course covers modern probabilistic methods for autonomous robots, with a particular focus on mapping and localisation (SLAM). By explicitly considering the probability that a robot is in a certain state or that its environment has certain properties, it is possible to develop more robust methods. In this course you will learn a number of probabilistic methods for localisation and mapping, as well as their mathematical underpinnings.

ECTS Credits

7,5 Credits

Level of education

Second cycle, has only first-cycle course/s as entry requirements (A1N)

School

School of Science and Technology

When is the course offered?

Prerequisites: First-cycle degree of 180 credits, with Computer Science as the main field of study, and at least 15 credits in mathematics (analysis and algebra). The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.

OR

First-cycle degree of 180 credits, and at least 30 credits in mathematics (analysis and algebra), as well as at least 15 credits in Computer Science or Informatics (which includes programming). The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.

Selection: Academic points

Course syllabus

Application code: V5068