E-learning computer science prerequisite

General data

Course ID:	3501-KOG-WI-SZK
Erasmus code / ISCED:	11.301 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	E-learning computer science prerequisite
Name in Polish:	E-learning informatyczny
Organizational unit:	Institute of Philosophy
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	obligatory courses
Mode:	Remote learning
Short description:	Presentation of fundamental concepts in information technologies and mathematics needed to follow the course Introduction to Programming in the second semester. This is an e-learning course and uses a distant learning platform (e.g. Moodle).
Full description:	The aim of this subject is to give students: - a deeper understanding of the architecture of current computers and their efficient use, - knowledge of basic notions from discrete mathematics and mathematical logic used in computer science, - introductory knowledge about grammars and formal languages. The topics of this course:: 1. Presentation of principles and structure of a typical computer. 2. Description of the role and purpose of an operating system. 3. Discussion of numeral systems used in computing and various data representations. 4. Revision of general logical operators used in first-order logic, their semantics and use. 5. Introduction to formal languages and grammars.
Bibliography:	1. Mathematical Logic for Computer Science: Third Edition, Mordechai Ben-Ari, Springer 2012. 2. Introduction to Automata Theory, Languages, and Computation, John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman, Pearson 2013. 3. Publications (journals, Internet) on current issues in information technology.
Learning outcomes:	Knowledge Knows the architecture of current computers (knows the role of CPU, RAM, HDDs/SDDs) Understands the purpose of operating systems. Has knowledge about numeral systems, understands how in general data.is stored in a computer’s memory. Knows semantics of basic logical operators. Knows definitions of formal languages, grammars, regular and context-free languages. Skills Can write numbers with vaious bases. Can formulate simple logical conditions using operators available in most programming languages. Can construct regular or context-free grammars for simple languages (of a proper class). Social competence Understands general rules of computers’ working. Understand the basic math used in programming.
Assessment methods and assessment criteria:	Students work with a distant learning platform solving tests from each section of the course. The final grade is given based on points gained from these tests.

This course is not currently offered.

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Copyright by University of Warsaw.