ECTS - PWSZ im. Witelona w Legnicy

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The Witelon University of Applied Sciences in Legnica - Field: Computer science Punkty ECTS 5 1. Course title Introduction to Computer Engineering 2. Course contents Lecture Introduction to algorithms and flow charts. Computational complexity basics. Positional numeral systems. Alphanumeric codes: ASCII, ISO-8859-2, Unicode. Arithmetic for computers: signed and unsigned numbers. Fixed-point and floating-point numbers. Fixed-point arithmetic: addition, subtraction, multiplication, division. Boolean algebra: axioms, theorems, rules. Simplification of Boolean expression. Boolean functions. Canonical form of Boolean functions. Combinational circuits. Logical functors/gates. Combinational circuits analysis and design: addar, subtractor, multiplexor, decoder etc. Sequential circuits. Registers. Introduction to computer organization and architecture. Classes Examples of sequential, conditional and cyclic algorithms. Sorting – analysis of complexity. Positional numeral systems: decimal, binary, octal, hexadecimal. Converting numbers written in different bases. BCD code. Alphanumeric codes ASCII, ISO-8859-2, Unicode. Arithmetic for computers: signed and unsigned numbers. Fixed-point/integer arithmetic: addition, subtraction, multiplication, division. Machine representation of floatingpoint numbers. Basics of Boolean algebra. Simplification of Boolean expression. Boolean functions. Minterms and maxterms. Canonical form of Boolean functions. Combinational circuits. Logical functors. Combinational circuits analysis and design - examples. Sequential circuits. Basic types of filp-flops and registers. Classical and modern computer organization and architecture. Instruction set. 3. Prerequisites None 4. Learning outcomes The main goal of the lecture is the introduction to the concept of algorithm, arithmetic for computers, Boolean algebra, combinational circuits analysis and design. The main goal of the course is presentation of analysis and synthesis principles of combinational circuits and combinational circuits design. 5. Recommended reading • Skorupski A., Podstawy budowy i działania komputerów, WKiŁ, Warszawa 2000. • Sysło M., Algorytmy, Wydawnictwa Szkolne i Pedagogiczne, Warszawa1997. 6. Type of course Obligatory 7. Teaching team Department of Computer Networks, Electronics and Telecommunication 8. Course structure Form Number of hours Semester year Lecture 30/12 1 1 Classes Laboratory Project Seminar 30/12 1 1 Total student’s 150 workload 9. Assessment methods Lecture – exam; classes – tests and assignments 10. Language of instruction Polish ECTS Course Catalogue 2010/2011 358
The Witelon University of Applied Sciences in Legnica - Field: Computer science ECTS Course Catalogue 2010/2011 ECTS credits 4 1. Course title Methods of artificial intelligence 1 2. Course description Lecture Introduction: artificial intelligence, knowledge representation, expert systems,history, examples. Knowledge representation: rule representation of knowledge, semantic nets and decision trees. Knowledge acquisition. Machine learning. Rules generating. Correctness test for knowledge base. Searching methods and strategies. Concluding with probabilistic model. Bayes’ decision support systems. Algorithms for complete probabilistic information, Recognition methods. Fuzzy rules. Neural networks: neuron, perceptron, linear networks, back propagation algorithm. Genetic algorithms: classical algorithm and its modifications, practical examples. Laboratory Computer realization for methods and algorithms of artificial intelligence. In particular: expert systems, Bayes decision systems, genetic algorithms, fuzzy decision systems. 3. Prerequisites Mathematics 1, Mathematics 2 4. Learning outcomes The main goal of the lecture is the introduction to the methods and algorithms of artificial intelligence. In particular decision support systems in practical applications are presented 5. Literature 1.Kurzyński M., Rozpoznawanie obiektów - metody statystyczne, Oficyna Wydawnicza PWr Wrocław 1997 2.Mulawka J., Systemy ekspertowe, WNT, Warszawa 1996 3.Rutkowska D., Rutkowski L., Piliński M., Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, PWN, Warszawa 1997 4.Rutkowska D., Inteligentne systemy obliczeniowe, Akademicka Oficyna Wydawnicza, Warszawa 1997 5.Goldberg D., Algorytmy genetyczne i ich zastosowania, WNT, Warszawa 1998 6. Type of course Obligatory 7. Teaching team Department of Informatics’ Application 8. Course structure Form Number of hours Semester year Lecture Classes 30/12 5 3 Laboratory Project Seminar 30/12 5 3 Total student’s 120 workload 9. Conditions of the course acceptance: Lecture – oral/written exam, laboratory - credit 10. Language: Polish 359
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ECTS - PWSZ im. Witelona w Legnicy

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