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Dept of Informatics - Tei of Athens
Computer structure. Data representation methods (unsigned and signed integers, floating point numbers, characters), signed number and floating point arithmetic, instruction set architecture(instruction format, instruction set, addressing modes with particular emphasis on indexed method, as implemented in lists and tables), pseudo-instructions. Machine language, programming at symbolic language level. Assembler, Linker, Debugger. Stack organization and subroutines. Fetch – execution of instructions. Understanding computer performance. Data input – output. Bus structure. Direct memory access. The laboratory part of the course includes programming in assembly language (MIPS) using simulators.
Tallinn University of Technology
Processor: fetch-decode-execute cycle, processor structure, different achitectures. Processor components: Combinational circuits and sequential circuits; Computer memory: classification, hierarhy, memory technologies, memory organization; Instruction set and addressing: instructon formats, instruction set, addressing modes, virtual memory; Microcomputer hardware: architecture, buses, data transfer, microprocessor supporting components, computer performance increasing; Input/output devices: keyboard, printers, monitors, touch screens, mouse, AD and DA converters. Special hardware: realization, application area; Computers and reliaility: failures of system, hardware testing, error-detecting codes.
Tallinn University of Technology
Boolean algebra and logic functions. Fundamentals of logic. Truth table. Laws of logic. Canonical standard forms. Disjunctive and conjunctive normal forms. Logic functions minimization. Shannon's expansions of logic function. The derivative of logic function. Complete system of logic functions. Fundamentals of set theory: sets, subsets, set operations, laws of set theory, Venn diagrams, simplification of expressions. Cartesian products, relations, functions. Onto and one-to-one functions. Equivalence relation. Partially ordered sets. Introduction to graph theory. Classical problems of set theory.
TEI of Athens
Computer structure. Data representation methods (unsigned and signed integers, floating point numbers, characters), signed number and floating point arithmetic, instruction set architecture(instruction format, instruction set, addressing modes with particular emphasis on indexed method, as implemented in lists and tables), pseudo-instructions. Machine language, programming at symbolic language level. Assembler, Linker, Debugger. Stack organization and subroutines. Fetch – execution of instructions. Understanding computer performance. Data input – output. Bus structure. Direct memory access. The laboratory part of the course includes programming in assembly language (MIPS) using simulators.
Universidad Carlos III de Madrid
A MOOC about how to design MOOCs
Politecnico di Torino
The course aims at providing students with knowledge and in depth understanding of advanced computer network technologies widely deployed in modern networks or that are expected to become mainstream in the near future.
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Boolean algebra and logic functions. Fundamentals of logic. Truth table. Laws of logic. Canonical standard forms. Disjunctive and conjunctive normal forms. Logic functions minimization. Shannon's expansions of logic function. The derivative of logic function. Complete system of logic functions. Fundamentals of set theory: sets, subsets, set operations, laws of set theory, Venn diagrams, simplification of expressions. Cartesian products, relations, functions. Onto and one-to-one functions. Equivalence relation. Partially ordered sets. Introduction to graph theory. Classical problems of set theory.
Politecnico di Torino
The course, compulsory for the Master degree in Computer Engineering, is offered on the 1st semester of the 1st year. The course addresses the fundamental issues in the technology of database management systems and introduces database management techniques for data warehouses (database systems specialized in strategic decision support), typically characterized by the need of managing very large databases. Both traditional OLAP (On Line Analytical Processing) analysis techniques and complex data mining techniques will be addressed. Laboratory sessions allow experimental activities, both on technological characteristics and data analysis, on the most widespread commercial and open-source products.
Universidad Carlos III de Madrid
A MOOC about how to design MOOCs
TU Delft
Students are expected to start a (virtual) company and to make a thorough analysis of the commercial possibilities of a particular product or technology. The students have to come up with an idea for the company themselves and should be as realistic as possible. The course will explain how to write business plans and make a financial analysis of the required investments. A number of speakers from industry (venture capitalists or entrepreneurs) will be invited to present their views. The business plan will center around the following issues: 1. What is the target market and what are the unique selling points? 2. Who are the main competitors? 3. What are the required management skills? 4. What are the investment requirements?