Neural networks and learning machines

At least 90 ECTS of completed courses and understanding of mathematical analysis and linear algebra; ability to develop and apply computer programs to solve mathematically formulated problems, eg D0009E Introduction to Programming, 7,5 ECTS or D0017E Introduction to Programming for Engineers, 7,5 ECTS. understanding of basic mathematical statistics including probability distributions, expectation and variance, such as S0001M Mathematical Statistics, 7,5 ECTS or S0008M Probability Theory and Statistics, 7,T ECTS; understanding of basic signal processing including sampling, time-discrete processing of time-continuous signals, linear and time-invariant systems, such as S0001E Signal Analysis, 7,5 ECTS or S0004E Signals and Systems, 7,5 ECTS; understanding of basic electrical theory including RC circuits, eg E0003E Electric Circuit Theory, 7,5 ECTS or E0013E Fundamentals of Electrical Engineering, 7,5 ECTS. Good knowledge in English equivalent to English 6. More information about English language requirements [http://www.ltu.se/edu/bli-student/Application-process/English-language-requirements-1.109316?l=en]."

Texten återges från Susa-underlaget. Antagningsdata gör ingen egen mappning mellan GY11 och GY25 och bedömer inte personlig behörighet.