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Artificial Intelligence in Computer Science
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Summary of the Profile
General Description:
Objective(s) of a study programme:
To provide comprehensive knowledge of modern artificial intelligence methods, deep and transfer learning, big data processing, optimization as well as knowledge based on computer science, systems theory and mathematics; to develop skills to independently perform research work and develop artificial intelligence and general informatics models, applying them to computer vision and speech recognition, semantic analysis of textual information, determination of its content meaning, content generation and other applications of informatics and related fields.
Learning outcomes:
Knowledge and its application:
A1 is able to explain in detail the principles of algorithms for optimization of distributed systems and models, aspects of their application in computer science and artificial intelligence;
A2 is able to explain in detail the principles of artificial intelligence and machine learning methods and their application models;
A3 is able to apply the knowledge of numerical information analysis and physical behavior modeling theory in developing IT solutions based on artificial intelligence;
A4 is able to apply artificial intelligence and machine learning (including deep) methods to signals (computer vision, speech recognition), textual information processing and content meaning determination (including semantics);
A5 is able to critically evaluate the processes of digitization and computing, the development of the field of computer science and artificial intelligence, the synergy of these fields with related fields of science.
Research skills:
B1 is able to analyze data (including large data sets), make reasonable summaries and perform informative data visualizations;
B2 is able to perform a detailed study of data quality and prepare them for the use of machine learning algorithms;
B3 is able to perform experimental research by varying the parameters of the artificial intelligence model (hyper parameters);
B4 is able to implement and verify artificial intelligence models for different purposes.
Special skills:
C1 is able to solve technological and methodological problems of application of artificial intelligence and other computer sciences by use of advanced machine learning algorithms, including deep and reinforcement learning;
C2 is able to create effective complex problem solutions by integrating artificial intelligence methods as well as parallel computing, cloud computing methods and techniques;
C3 is able to create a formal specification of the artificial intelligence system and perform system behavior verification;
C4 is able to evaluate the qualitative parameters of artificial intelligence and other information technology-based systems, optimize the hyper parameters of the artificial intelligence model and prepare an optimal solution in terms of time and objective function, determine the statistical reliability of the model results.
Social skills:
D1 is able to communicate effectively and professionally in native and at least one foreign language with various audiences;
D2 is able to work effectively in teams and lead them in accordance with the principles and rules of professional, ethical behavior and social responsibility.
Personal skills:
E1 is able to learn systematically and independently for continuous personal, professional and scientific development;
E2 is able to work independently, systematically and responsibly, taking initiative and taking personal responsibility;
E3 is able to demonstrate creativity in the application of artificial intelligence methods in problem solving
Activities of teaching and learning:
Lectures, assignments, Laboratory classes, Seminars, Tutorials, Case analysis (Case study), Engineering projects, Team project, Individual project, Chellenge-based learning, Creativity workshops, Practice.
Methods of assessment of learning achievements:
Examination, Colloquium, Control work, Laboratory examination, Laboratory notes and report, Project report, Report of practice, Final degree project.
Framework:
Study subjects (modules), practical training:
Computational Intelligence and Decision Making, Advanced Machine Learning, Distributed Systems and Algorithms, Optimization Techniques and Algorithms, Image Processing and Computer Vision, Information Technology Project Management, Scientific Internship, Applied Research Project.
Specialisations:
-
Optional courses:
During the studies the student has the opportunity to choose: 18 credits module set in an advanced field of study or a any other study field.
18 credits alternatives in Applied Research activities (Scientific Internship or Applied Research Project).
Distinctive features of a study programme:
The graduate has state-of-the-art knowledge of artificial intelligence, including deep and transfer learning, big data processing, optimization, and other basic sciences (focusing on computer science, systems theory, and mathematics); is able to independently perform research work and develop artificial intelligence and general informatics models, applying them to signal processing (eg computer vision, speech recognition), textual information processing and content meaning determination (including semantics), content generation and other applications in informatics and related fields .
Studies in English and Lithuanian languages are available.
Access to professional activity or further study:
Access to professional activity:
The graduate can design and implement applications related to artificial intelligence, machine learning, optimization, data analytics and other key areas of informatics in order to achieve new and more efficient IT solutions; to perform research, analytical work on the development and design of fundamental and applied software for signal processing (computer vision, speech recognition), textual information processing and content meaning determination (including semantics), and content generation, in scientific institutions, high-tech companies and organizations.
Access to further study:
Eligible to enter postgraduate studies.
