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This course introduces the basic database concepts such as relational databases, normal forms, and transactions. In addition, the course covers system development (basic software development) and version control, and includes the practical development of a smaller system (web system, mobile system, etc.) as project work.
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This course studies the principles of computer systems supporting the operation of application software. Students master the basic overview of a computer system and use these concepts to solve practical problems. The course covers representation of information in computer, machine representation and organization of executable programs, principle of processor, characteristics of hierarchical storage and cache principle, virtual memory, performance optimization.
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The purpose of the course is to introduce non-Computer Science students to probabilistic data modelling and the most common techniques from statistical machine learning and data mining. It provides a working knowledge of basic data modelling and data analysis using fundamental machine learning techniques. Topics include: foundations of statistical learning, probability theory; classification methods, such as Linear models, K-Nearest Neighbor; regression methods, such as Linear regression; Bayesian Statistics; clustering; dimensionality reduction and visualization techniques such as principal component analysis (PCA).
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This course provides a study of requirements engineering, conceptual modeling with UML, and architectural modeling with UML. It discusses the process of analysis, design, and troubleshooting of applications and systems, ensuring their reliability, security, and quality in accordance with ethical principles and existing legislation and regulation.
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This course offers an introduction to databases. Topics include: the entity relationship model; the relational database model; relational algebra; structured query language (SQL); procedural languages for SQL; triggers; transactions and concurrency control.
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This course focuses on the Google search engine and its online advertising platform Google Ads. It offers a study of how search engines work-- page indexing and ordering of results-- and the composition of search engine results pages.
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