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This course emphasizes hands-on laboratory experience and teaches students research background, relevant theories, and basic laboratory techniques relevant to their field of study. Students formulate a research plan, implement it by conducting experiment-based research, and convey the results in scholarly presentations. Students submit a written research report at the end of the course.
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This course offers a general overview of nanoscience and nanotechnology and their social, economic, and ethical implications. It discusses the main application fields of nanomaterials and how their introduction into a myriad of products is changing and shaping our lives. Other topics include: consumer perception towards nanotechnology-based products; the main investment areas in nanotechnology at the worldwide level; associated risks, ethical issues, and misconceptions.
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The course gives basic theoretical and practical knowledge about database systems and their organization. The emphasis is on relational databases. Topics include an introduction to database systems, basics of the relational model and the query language SQL, methods for data modelling and database design, E/R diagrams, and UML diagrams. Theory for the relational model: functional dependencies, normalization, relational algebra, stored procedures and triggers, and program and web interfaces to databases. Previous knowledge with programming and Java required.
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This course reviews electric, magnetic, optic, and thermal properties of materials from a view point of classic mechanics and quantum mechanics.
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This course covers the fundamentals of industrial systems, automation, and control methods. Topics include: discrete events system modeling; automation technologies; programmable logic controller (PLC) programming languages; actuators; sensors; field buses.
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