64-421 Exercises Computer Vision I

Course offering details

Instructors: Prof. Dr. Simone Frintrop; Dr. Mikko Lauri

Event type: Practical course/lab

Displayed in timetable as: CV 1 - Üb

Hours per week: 2

Language of instruction: English

Min. | Max. participants: - | 40

More information:
This course accompanies the lecture "Computer Vision".
 

Learning objectives:
Deeper understanding of the basic algorithms of computer vision which are introduced in the lecture and practical experience of how to apply such methods. Exercises will be done using Python programming language.

Didactic concept:
The assignments consist of theoretical tasks (solve tasks manually on paper) and practical programming exercises in Python programming language. Pre-knowledge in Python is not mandatory, but is helpful. There are both homework and in-class tasks to be solved.

Additional examination information:
Examination of the module takes place in form of a written exam.

The success of the assignments will be evaluated with 2 written tests during the semester. The tests will be announced in advance.

 

Small group(s)
This course is divided into the following small groups:
  • Exercises Computer Vision I (Do. 12-14 Uhr D-010)

    Prof. Dr. Simone Frintrop; Dr. Mikko Lauri

    Th, 17. Oct. 2019 [12:15]-Th, 30. Jan. 2020 [13:45]

  • Exercises Computer Vision I (Fr. 12-14 Uhr D-010)

    Prof. Dr. Simone Frintrop; Dr. Mikko Lauri

    Fri, 18. Oct. 2019 [12:15]-Fri, 31. Jan. 2020 [13:45]

Appointments
Date From To Room Instructors
There are no appointments.
Exams in context of modules
Module (start semester)/ Course Exam Date Instructors Compulsory pass
Class session overview
Instructors
Prof. Dr. Simone Frintrop
Dr. Mikko Lauri