Optional Subjects
Course Unit: Optional Subjects
Department: Interdepartmental
No. ECTS credits: 42
Semester: 7-8
Type: Optional
Learning outcomes
For optional subjects:
- Evaluate and design the best solution for solving a problem in a given mathematics or informatics application domain, explaining the technical complications and application scope
- Select the best mathematical tools or informatics technology to solve a real-world problem and design the solution development and integration, analysing its feasibility
- Develop the best mathematical and algorithmic solution to a mathematical or informatics problem that is especially hard to solve, analysing and explaining its feasibility
- Be acquainted with one of the fields situated on the border between mathematics and informatics underlying new trends and developments
For both the practicum and international mobility:
- Learn spoken and written communicative language competencies (comprehension, expression, etc.) in national/international academic/professional environments
- Learn the techniques required to write a report on an assignment completed in a national/international socio-linguistic environment
Adapt to new national/international academic/professional environments
For the practicum:
- Gain professional experience as an engineer and of an engineer's most common responsibilities in a real business environment
Train to design the outline of a project
Train as part of a work team in any assigned positions
For international mobility:
- Gain experience in studying and working in an international context
Brief description of contents
- Application domains (Examples: Cryptography, Digital Signal Processing, Multimedia and Computer Graphics, Music, Mathematics and Informatics, Computer Perception and Robotics, etc.)
- Technologies (Examples: Information Security, Computer Networks, Human-Computer Interaction, Semantic Web, Geographical Information Systems, etc.)
- Potential Solutions (Examples: Partial Differential Equations, Fourier Analysis, Stochastic Processes, Optimization and Control, Fuzzy Systems, Game Theory, Adaptive Computing Systems, Advanced Algorithms, etc.)
- Borders and Bounds of Mathematics and Informatics (Examples: Dynamic Systems, Machine Learning, Computability Theory, Chaos and Fractals, Computational Algebra, Quantum Computing, etc.)
Recommended Reading
To be determined in each subject.