Courses

Courses details for the new IPCVai program will be available shortly.
The course details found below correspond to the latest cohort. The curriculum of 2024/26 cohort will be published in August 2024.

First semester: PPKE, Budapest

Basic Image Processing Algorithms
Biomedical Signal Processing
Data Mining and Machine Learning
Design Patterns
High-level Synthesis Methods on FPGA-s
Intelligent Sensors
Multimodal Sensor Fusion and Navigation
Numerical Analysis
Parallel Computing Architectures
Signal Processing
Sports

TOTAL (offered/coursed) : 39/30

Second semester: UAM, Madrid

Applied Video Sequences Analysis
Fundamentals and Basic Tools for Deep Learning
Initiation to Research
People Detection and Biometric Recognition
Tomography and 3D Imaging applied to Biomedical Samples
Tutored Research and Development Project I
Vision for Multiple or Moving Cameras
Writing and Presentation Skills Workshop

TOTAL (offered/coursed) : 36/30

Third semester: UB, Bordeaux

Acquisition and Reconstruction
Augmented and Virtual Reality
Career Development Week
Deep Learning in Computer Vision
Inversion for Augmented Reality
Management of IT Projects
Reconstruction and Inverse Problems
Tutored Research and Development II
Variational Methods and PDEs and Optimisation for Image Processing

TOTAL (offered/coursed) : 30/30

Fourth semester

Internship at a company or research laboratory

TOTAL (offered/coursed) : 30/30

All students must validate 30 ECTS per semester.

The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.

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