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; Lecture
 
; Lecture
: Wednesday 9:50, M-IX
+
:  
 
; Excercises
 
; Excercises
: Monday 17:20, I-H3
+
:  
  
 
=== Grading ===
 
=== Grading ===
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----
 
----
 
== Lectures ==
 
== Lectures ==
 
+
<!---
 
[http://www.sccg.sk/~madaras/students.html CG slides ]
 
[http://www.sccg.sk/~madaras/students.html CG slides ]
 
*3.11. Snimanie [https://docs.google.com/presentation/d/1mxQZt2V2fwaNZlZ2c4QVOXlJunyBBbGRfIv68yjBZXQ/edit?usp=sharing slides]
 
*3.11. Snimanie [https://docs.google.com/presentation/d/1mxQZt2V2fwaNZlZ2c4QVOXlJunyBBbGRfIv68yjBZXQ/edit?usp=sharing slides]
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*8.12. Deep learning for computer vision, online cez Teams [https://docs.google.com/presentation/d/1aZ0iLF1DM8TtB_J6rGyWVRGHP7EhJiTeQeWlV3z7pVE/edit?usp=sharing slides]
 
*8.12. Deep learning for computer vision, online cez Teams [https://docs.google.com/presentation/d/1aZ0iLF1DM8TtB_J6rGyWVRGHP7EhJiTeQeWlV3z7pVE/edit?usp=sharing slides]
 
*15.12. Exam, online cez Teams
 
*15.12. Exam, online cez Teams
 
+
--->
 
== Labs ==
 
== Labs ==
 +
<!---
 +
* Slides & project assignment: [https://github.com/danasko/zpgso GitHub]
  
* Slides & project assignment: [https://github.com/danasko/zpgso GitHub]
 
<!---
 
 
Guide: Adam Riečický
 
Guide: Adam Riečický
  

Revision as of 10:32, 9 September 2022

Fundamentals of Computer Graphics and Image Processing 1-AIN-301

Course information sheet >

Lecture
Excercises

Grading

You can get 100 points (p) during semester, where 1pt = 1% of final grade

  • Final writen exam: 50p
  • Excercises: 50p (with minimum of 30p)
    • 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part)
    • Attendance: 10x1p

Materials



Lectures

Labs