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Srđan Lazendić

Postdoctoral Assistant and Researcher



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Academic year 2020/2021


In this academic year I am giving exercises for the following courses:




BaWi - Basic Mathematics
-first year bachelor in engineering-

WIBA

Lecturer: Hennie De Schepper


Teaching language: Dutch


Content:
The aim of this course is threefold: (1) to rehearse the fundamental mathematics knowledge for starting academic engineering studies; (2) to make clear what is the expected mathematics level in academic engineering studies; (3) to establish a uniform starting level for all students.



Calculus
-first year bachelor in architecture-

CALC

Lecturer: Hennie De Schepper


Teaching language: Dutch


Content:
The main aim is to teach the student how to reason in a critical, logical and structured way, on the appropriate level of abstraction, while paying attention also to completeness and precision.




Mathematical Analysis
-second year bachelor in architecture-

waIII

Lecturer: Hendrik De Bie


Teaching language: Dutch


Content:
The student gains insight in solution methods for ordinary and partial differential equations. The student also gains insight in the definition of line and surface integrals, the underlying theoretical results and their practical computation.






Mathematical Analysis II: Functions of Several Variables

-first year bachelor in engineering-

analii

Lecturer: Hendrik De Bie


Teaching language: Dutch


Content:
It is the aim of the course to provide insight in the basic concepts of the theory of functions of one and several real variables and the application of the corresponding analysis techniques. Moreover the students acquire skills in using these techniques and applying them, as well as in the analytic and mathematical modelling of basic problems from basic sciences.



Approximation Methods for Boundary Value Problems - BERA

-second year master in mathematics-

WIBA

Lecturer: Marián Slodička


Teaching language: Dutch


Content:
The aim of the course is to provide introduction to some important approximation methods for boundary value problems (stationary boundary value problems, evolution problems). Three large topics include finite difference methods, finite element methods and mixed finite element methods.




Artificial Intelligence - AI
-first year master in engineering-

AI

Lecturer: Aleksandra Pižurica


Teaching language: English


Content:
The course gives an overview of the principles and modern approaches in artificial intelligence. The focus is on intelligent agents, reasoning under uncertainty, and making rational decisions. It covers the following topics: knowledge representation, reasoning under uncertainty, Bayesian networks, Hidden Markov Models, belief propagation, deep learning, rational agents and rational decisions as well as visual intelligence.