The page lists the courses I've assisted over the years at the University of Zagreb. For some courses I added pdfs of the materials I wrote for it, hoping it would be useful for the students. All course materials are written in Croatian. You can find these materials here as well.
The course provides knowledge in theory and applications of digital image processing and analysis. The course main focus is on image enhancement, filtering, restoration, transformation and segmentation. Main applications are covered form field of biomedicine, industrial visual quality control, biometry and communications.
I've been serving as a TA at this course since 2006. Below are some materials I've used during that time.
The course provides knowledge in theory and applications of artificial neural networks and genetic algorithms.
I've been serving as a TA at this course since 2006. Below are some materials I've used during that time.
The course provides insights about information representation, processing, compression and security.
I've been serving as a TA at this course since 2010. Below are some materials I've used during that time.
The course provides a basic knowledge necessary in computer engineering, communication, control and electronics.
I've been serving as a TA at this course since 2009.
The course gives knowledge of the theory of random processes and applications in the systems for signal processing and analysis. The course also discusses applications in communication, automation and measurements.
I've been serving as a TA at this course in 2007 and since 2010 on.
The course insights about architecture and applications of multimedia technologies and systems, and compression, coding, modeling and analysis of (audio and visual) signals.
I've been serving as a TA at this course in spring semester 2011.
The course provides practical knowledge on information processing, through three project. The topics of projects are chosen from the following areas: digital signal processing, communication protocols, advanced algorithms and data structures, pattern recognition, stochastic systems, and video communication technologies.
I've been serving as a TA at this course since 2012.
The course provides practical knowledge about digital signal processing, analog signal processing procedures in time and frequency domain, as well as ability to realize practical circuits, modeling and simulation of synthetic and real-world random processes, design and implementation of optimum linear systems, modeling of quantization noise. The course offers an individual hands-on experience about the theoretical concepts that are taught in Digital Signal Processing, Analog and Mixed Signal Processing, Random Processes in Systems.
I've been serving as a TA at this course since 2012.