Mathematics and its application: Specialization Mathematics of Artificial Intelligence
Mathematical Sciences
Mathematics and its application: Specialization Mathematics of Artificial Intelligence
Description
If
you feel as if you are in a warm bubble bath when you are dealing with numbers,
if you are inspired by data the bigger and more complex they are, and if your
friends have repeatedly praised you for your impeccable logic, then this study
programme is designed just for you. Here, you will learn various methods of
mathematical analysis, delve into number and probability theories, optimise,
visualise, and assess risk, and otherwise juggle data and formulas. These
skills and knowledge will enable you to develop solutions that enhance the processes
of various organisations in the fields of business, finance, industry, and
energy. But that's not all - your innovative application of mathematics will
have the potential to make a real impact on millions of people worldwide: from
constructing profitable stock portfolios to assisting doctors in selecting
medicines. And knowledge of the fundamentals of Artificial Intelligence
Mathematics will open up numerous opportunities. But we'll let you in on a
little secret: mathematicians have their own Nobel - the Abel Prize. Maybe
it'll be you who becomes the first Lithuanian winner?
Keywords
#MathematicalModelling #DataScience #R #ArtificialIntelligence #CriticalThinking #RiskAssessment #Optimisation
The application of mathematics, energy, and IT knowledge in my daily work ensures accurate and reliable results in the company's development.
Dr. Benas Jokšas, graduate, Senior Data Engineer at Vattenfall (Germany)
Studying mathematics has helped me develop analytical, critical thinking, and problem-solving skills. I can apply the knowledge I have gained not only to solve mathematical problems but also to tackle everyday challenges such as time management, project management, and risk assessment.
Gabrielė Pompel-Amilevičė, graduate, Credit Controller at UAB Tele2
Studying in the VMU Mathematics and its Applications programme made me feel like a free and respected individual. Here, the teachers treated me as an equal, fellow students became my close friends, and the subjects I studied perfectly reflected the challenges I now deal with every day in business and industry.
Milita Songailaitė, graduate, Co-founder and CEO of the startup Abstract Music
Partners
Companies offer students internships and employment opportunities and suggest topics for course papers and final theses.
Curriculum
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Geometry | Inga Šarūnienė | 6 |
| Fundamentals of Programming | Vytautas Barzdaitis | 6 |
| Mathematical Analysis I | Sigita Urbonienė | 6 |
| A group subjects | 10 |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis I | Sigita Urbonienė | 6 |
| Geometry | Inga Šarūnienė | 6 |
| Fundamentals of Programming | Vytautas Barzdaitis | 6 |
| A group subjects | 10 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Geometry | Inga Šarūnienė | 6 |
| Fundamentals of Programming | Vytautas Barzdaitis | 6 |
| Mathematical Analysis I | Sigita Urbonienė | 6 |
| A group subjects | 10 |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis I | Sigita Urbonienė | 6 |
| Geometry | Inga Šarūnienė | 6 |
| Fundamentals of Programming | Vytautas Barzdaitis | 6 |
| Pedagogy | Eglė Stasiūnaitienė | 4 |
| Development of Emotional Intelligence | Aurelija Stelmokienė | 3 |
| A group subjects | 6 |
Total ECTS credits:
28
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Software for Mathematics 1 | Tomas Rekašius | 6 |
| Mathematical Analysis II | Sigita Urbonienė | 6 |
| Algebra | Sigita Urbonienė | 6 |
| A group subjects | 14 |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis II | Sigita Urbonienė | 6 |
| Algebra | Sigita Urbonienė | 6 |
| Software for Mathematics 1 | Tomas Rekašius | 6 |
| A group subjects | 14 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis II | Sigita Urbonienė | 6 |
| Algebra | Sigita Urbonienė | 6 |
| Software for Mathematics 1 | Tomas Rekašius | 6 |
| A group subjects | 14 |
| Course | Lecturer | ECTS Credits |
| Software for Mathematics 1 | Tomas Rekašius | 6 |
| Mathematical Analysis II | Sigita Urbonienė | 6 |
| Algebra | Sigita Urbonienė | 6 |
| Health Education | Juratė Česnavičienė | 3 |
| General and Developmental Psychology | Ala Petrulytė | 3 |
| A group subjects | 6 |
Total ECTS credits:
32
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis III | Inga Šarūnienė | 6 |
| Discrete Mathematics | Simona Jokubauskienė | 6 |
| Number Theory | Roma Kačinskaitė | 6 |
| A group subjects | 14 |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis III | Inga Šarūnienė | 6 |
| Discrete Mathematics | Simona Jokubauskienė | 6 |
| Number Theory | Roma Kačinskaitė | 6 |
| A group subjects | 14 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis III | Inga Šarūnienė | 6 |
| Discrete Mathematics | Simona Jokubauskienė | 6 |
| Number Theory | Roma Kačinskaitė | 6 |
| A group subjects | 14 |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis III | Inga Šarūnienė | 6 |
| Discrete Mathematics | Simona Jokubauskienė | 6 |
| Number Theory | Roma Kačinskaitė | 6 |
| A group subjects | 10 |
Total ECTS credits:
32
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis IV | Ričardas Krikštolaitis | 5 |
| Complex Variables Function Theory | Roma Kačinskaitė | 6 |
| Probability Theory | Inga Šarūnienė | 6 |
| General Physics | Valdas Girdauskas | 4 |
| A group subjects | 8 |
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis IV | Ričardas Krikštolaitis | 5 |
| Complex Variables Function Theory | Roma Kačinskaitė | 6 |
| Probability Theory | Inga Šarūnienė | 6 |
| General Physics | Valdas Girdauskas | 4 |
| A group subjects | 8 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Mathematical Analysis IV | Ričardas Krikštolaitis | 5 |
| Complex Variables Function Theory | Roma Kačinskaitė | 6 |
| Probability Theory | Inga Šarūnienė | 6 |
| General Physics | Valdas Girdauskas | 4 |
| A group subjects | 8 |
| Course | Lecturer | ECTS Credits |
| Probability Theory | Inga Šarūnienė | 6 |
| Complex Variables Function Theory | Roma Kačinskaitė | 6 |
| Mathematics Didactics | Viktorija Sičiūnienė | 4 |
| General Physics | Valdas Girdauskas | 4 |
| Curriculum Creation and Management | Linas Jašinauskas | 3 |
| A group subjects | 8 |
Total ECTS credits:
29
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Mathematical Statistics | Tomas Rekašius | 6 |
| Differential Equations | Sigita Urbonienė | 6 |
| Numerical Methods and Optimization | Brigita Žemaitienė | 5 |
| Optimization Methods | Sigita Urbonienė | 6 |
| A group subjects | 6 |
| Course | Lecturer | ECTS Credits |
| Mathematical Statistics | Tomas Rekašius | 6 |
| Differential Equations | Sigita Urbonienė | 6 |
| Numerical Methods and Optimization | Brigita Žemaitienė | 5 |
| Fundamentals of Risk Analysis | Inga Šarūnienė | 6 |
| A group subjects | 6 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Mathematical Statistics | Tomas Rekašius | 6 |
| Differential Equations | Sigita Urbonienė | 6 |
| Numerical Methods and Optimization | Brigita Žemaitienė | 5 |
| Fundamentals of Machine Learning | Gailius Raškinis | 6 |
| A group subjects | 6 |
| Course | Lecturer | ECTS Credits |
| Mathematical Statistics | Tomas Rekašius | 6 |
| Differential Equations | Sigita Urbonienė | 6 |
| History of Mathematics | Roma Kačinskaitė | 5 |
| Elementary Mathematics 1 | Monika Grigaliūnienė | 4 |
| Inclusive Education | Agnė Brandišauskienė | 3 |
| Pedagogical Assistant Practice | Vaida Jurgilė | 6 |
Total ECTS credits:
29
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Databases and Information Systems | Rita Marčiulynienė | 4 |
| Data Analysis Methods | Ričardas Krikštolaitis | 6 |
| Software for Mathematics 2 | Tomas Rekašius | 5 |
| Financial Calculus | Eimutis Valakevičius | 6 |
| Optional courses 1 | ||
| Mathematical Logic | Arimantas Juvencijus Raškinis | 6 |
| Partial Differential Equations | Vytautas Kleiza | 6 |
| Matrix Theory | Vytautas Kleiza | 6 |
| A group subjects | 4 |
| Course | Lecturer | ECTS Credits |
| Databases and Information Systems | Rita Marčiulynienė | 4 |
| Data Analysis Methods | Ričardas Krikštolaitis | 6 |
| Software for Mathematics 2 | Tomas Rekašius | 5 |
| Mathematical Networks Models | Juozas Augutis | 6 |
| Optional courses 1 | ||
| Mathematical Logic | Arimantas Juvencijus Raškinis | 6 |
| Partial Differential Equations | Vytautas Kleiza | 6 |
| Matrix Theory | Vytautas Kleiza | 6 |
| A group subjects | 4 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Databases and Information Systems | Rita Marčiulynienė | 4 |
| Data Analysis Methods | Ričardas Krikštolaitis | 6 |
| Software for Mathematics 2 | Tomas Rekašius | 5 |
| Artificial Intelligence Applications | Gailius Raškinis | 6 |
| Optional courses 1 | ||
| Mathematical Logic | Arimantas Juvencijus Raškinis | 6 |
| Partial Differential Equations | Vytautas Kleiza | 6 |
| Matrix Theory | Vytautas Kleiza | 6 |
| A group subjects | 4 |
| Course | Lecturer | ECTS Credits |
| Software for Mathematics 2 | Tomas Rekašius | 5 |
| Elementary Mathematics 2 | Monika Grigaliūnienė | 3 |
| Teaching Practice under Supervision of Mentor | Vaida Jurgilė | 12 |
| A group subjects | 10 |
Total ECTS credits:
31
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Functional Analysis | Roma Kačinskaitė | 6 |
| Random Processes | Simona Jokubauskienė | 5 |
| Professional Language for Students of Physical Sciences | Laura Kamandulytė-Merfeldienė | 3 |
| Course Work | Roma Kačinskaitė | 3 |
| Optional courses 1 | ||
| Multivariate Statistics | Tomas Rekašius | 6 |
| Measure and Integration Theory | Roma Kačinskaitė | 6 |
| Fundamentals of Risk Analysis | Inga Šarūnienė | 6 |
| Optimization Methods | Sigita Urbonienė | 6 |
| Course | Lecturer | ECTS Credits |
| Functional Analysis | Roma Kačinskaitė | 6 |
| Random Processes | Simona Jokubauskienė | 5 |
| Professional Language for Students of Physical Sciences | Laura Kamandulytė-Merfeldienė | 3 |
| Course Work | Roma Kačinskaitė | 3 |
| Optional courses 1 | ||
| Multivariate Statistics | Tomas Rekašius | 6 |
| Measure and Integration Theory | Roma Kačinskaitė | 6 |
| Fundamentals of Risk Analysis | Inga Šarūnienė | 6 |
| Optimization Methods | Sigita Urbonienė | 6 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Functional Analysis | Roma Kačinskaitė | 6 |
| Random Processes | Simona Jokubauskienė | 5 |
| Professional Language for Students of Physical Sciences | Laura Kamandulytė-Merfeldienė | 3 |
| Course Work | Roma Kačinskaitė | 3 |
| Optional courses 1 | ||
| Multivariate Statistics | Tomas Rekašius | 6 |
| Measure and Integration Theory | Roma Kačinskaitė | 6 |
| Fundamentals of Risk Analysis | Inga Šarūnienė | 6 |
| Optimization Methods | Sigita Urbonienė | 6 |
| Course | Lecturer | ECTS Credits |
| Professional Language for Students of Physical Sciences | Laura Kamandulytė-Merfeldienė | 3 |
| Course Work | Roma Kačinskaitė | 3 |
| Numerical Methods and Optimization | 5 | |
| Independent Teaching Practice | Linas Jašinauskas | 12 |
| Foundations of STEAM Education | Asta Danilevičiūtė | 4 |
| Optional courses 1 | ||
| Multivariate Statistics | Tomas Rekašius | 6 |
| Measure and Integration Theory | Roma Kačinskaitė | 6 |
| Fundamentals of Risk Analysis | Inga Šarūnienė | 6 |
| Optimization Methods | Sigita Urbonienė | 6 |
Total ECTS credits:
29
| Course | Lecturer | ECTS Credits |
| Course | Lecturer | ECTS Credits |
| Practice | Roma Kačinskaitė | 15 |
| Bachelor Graduation Thesis | Roma Kačinskaitė | 15 |
| Course | Lecturer | ECTS Credits |
| Practice | Roma Kačinskaitė | 15 |
| Bachelor Graduation Thesis | Roma Kačinskaitė | 15 |
Artificial Intelligence Mathematics
| Course | Lecturer | ECTS Credits |
| Practice | Roma Kačinskaitė | 15 |
| Bachelor Graduation Thesis | Roma Kačinskaitė | 15 |
| Course | Lecturer | ECTS Credits |
| Solving of More Complicated and Olympiad Level Problems | Monika Grigaliūnienė | 5 |
| Bachelor Graduation Thesis | Roma Kačinskaitė | 15 |
| Data Visualization Methods | Aušra Mackutė-Varoneckienė | 4 |
| Final Thesis of Pedagogical Studies | Odeta Norkutė | 3 |
Total ECTS credits:
30
