Curriculum – Computer Science
The field of knowledge 12 “Information Technologies”
Specialty: Computer Science (122)
All proposals and suggestions for improving the EPP “Computer Science” for the academic year 2023/2024 should be sent to the corporate mail of the guarantor of the EPP oleh.kushnir@lnu.edu.ua
- Educational and Professional Program 2022 (in Ukrainian)
- Educational and Professional Program 2020 (in Ukrainian)
Curriculum for master’s degree in specialty 122 “Computer Science” 2022 academic year (in Ukrainian)
Curriculum for master’s degree in specialty 122 “Computer Science” 2020 academic year (in Ukrainian)
Syllabuses of the educational program “Computer Science” (in Ukrainian)
Topics of master’s theses in the 2023-24 academic year (in Ukrainian)
Regulations on the execution, design, and defense of qualification (master’s) work (in Ukrainian)
The course works in the academic year 2022-23 (in Ukrainian)
Master’s theses 2022-23 academic year (in Ukrainian)
- Sample title page of a course paper (in Ukrainian)
- Sample title page of a diploma thesis (in Ukrainian)
- Sample diary of industrial practice (in Ukrainian)
- Sample diary of industrial (undergraduate) practice (in Ukrainian)
9 semester
| Subject | Lectures | Lab. | Pract. | For a week | Reporting |
|---|---|---|---|---|---|
| Applied Information Theory | 32 | 32 | – | 2:2 | Exam |
| Selected Sections of Data Science | 32 | 48 | – | 2:3 | Exam |
| Discipline for choice 1:Adaptive information processing systems Cloud Computing and Big Data Data analytics tools and technologies |
32 | 48 | – | 2:3 | Setoff |
| Discipline for choice 2:Data architecture Digital Image Processing and Pattern Recognition Game theory |
32 | 48 | – | 2:3 | Setoff |
| Discipline for choice 3:Graphic Programming in Labview Low-level programming Modern intelligent sensors and systems |
32 | 48 | – | 2:3 | Setoff |
| Reliability of software and hardware systems | 32 | 48 | – | 2:3 | Setoff |
10 semester
| Subject | Lectures | Lab. | Pract. | For a week | Reporting |
|---|---|---|---|---|---|
| Methodology of Scientific Research | 16 | – | 16 | 1:1 | Setoff |
| Natural Language Processing | 32 | 32 | – | 2:2 | Exam |
| Stochastic modeling | 32 | 32 | – | 2:2 | Exam |
| Discipline for choice 1:Metaheuristic Algorithms Microelectronic Sensor Devices Modern Theory of Control |
16 | 16 | – | 1:1 | Setoff |
| Discipline for choice 2:Quantum Computing Technologies of Data Analysis |
16 | 16 | – | 1:1 | Setoff |
| Discipline for choice 3:High-level computer security systems Internet of Things Methods and algorithms for fuzzy modeling |
32 | 32 | – | 2:2 | Setoff |
| Discipline for choice 4:Modern cloud services and computing Pattern Recognition |
32 | 32 | – | 2:2 | Setoff |
11 semester
| Subject | Lectures | Lab. | Pract. | For a week | Reporting |
|---|---|---|---|---|---|
| Internship | – | – | – | 0:0 | Diff. setoff |
| Master Thesis | – | – | – | 0:0 | Exam |
| Pre-Thesis Internship | – | – | – | 0:0 | Setoff |