ECTS - PWSZ im. Witelona w Legnicy

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The Witelon University of Applied Sciences in Legnica - Field: Computer science ECTS credits 5 1. Course title Physics for engineers 2. Course contents Lecture: INTRODUCTION: Physics as a natural science. SI – International System of Units. Rudiments of vector calculus. Foundations of analysis of experimental results: measurement and uncertainty, types of error, error analysis. MECHANICS: Material point kinematics. Dynamics of the material point. Newton’s Laws of Dynamics, Rigid body dynamics (rotary motion): torque, moment of inertia, law of parallel axis, angular momentum. Work, power and energy. Laws of conservation of momentum, angular momentum and energy. Statics. Gravitation: lines of forces, potential of gravitational field. FLUID MECHANICS: Hydrostatics: Hydrodynamics of the ideal fluid: equation of continuity of flow, Bernoulli’s theorem, Magnus effect. Real fluids: viscosity, Stokes formula, Hagen-Poiseuille formula, Reynolds number. THERMAL PHYSICS: Kinetic theory of heat: temperature, zero law of thermodynamics, heat, specific heat. Thermostatics: heat balance. First law of thermodynamics. Equation of state of ideal gas, ideal gas laws. Second law of thermodynamics: reversible and irreversible processes, entropy, heat engines, Carnot cycle. ELECTRICITY AND MAGNETISM: Electrostatics: electric charge, law of conservation of electric charge, Coulomb’s law, electric field, potential and electric tension, dielectric properties of matter. Electric current: charge carriers, current strength, electric resistance, Ohm’s laws, electromotive force, Kirchhoff’s laws, Joule effect. Magnetic field: Lorentz force, induction and magnetic field strength, magnetic properties of matter. Electromagnetic induction: Faraday law, Lenz law, self-inductance. INTRODUCTION TO THE MODERN PHYSICS AND TECHNOLOGY. Laboratory: Measurement of the moment of inertia using the pendulum method and verification of the parallel axis theorem, Measurement of the modulus of stiffness using the dynamic method, Measurement of the speed of sound using the Lissajous figures, Measurement of the dynamic viscosity using the Stokes method, Calibration of a thermocouple, Measurement of the groove period of a diffraction grating, Measurement of the focal length of lenses using the Bessel method, Spectral analysis – gas spectra, Measurement of electric resistance, Verification of the Ohm’s Law for the alternating current, Measurement of the resonance frequency of an RLC circuit, Oscilloscope as a measuring device. 3. Prerequisites none 4. Learning outcomes Student is able to make use of laws and methods of general physics in order to explain physical phenomena and fundamentals of modern technology. This kind of knowledge is supposed to be a basis for other courses. He knows and is capable of using the units of measurements from the International System and is able to present numerical results of measurements in the correct form. He can also estimate the measurement uncertainty. 5. Recommended reading 1. J. Orear; Fizyka; WNT, Warszawa; (podręcznik podstawowy); 2. H. Szydłowski; Niepewności w pomiarach. Międzynarodowe standardy w praktyce, Wydawnictwo Naukowe UAM, Poznań; 3. P.Wilk, W.Urbanik, I.Szczygieł; Fizyka – laboratorium, Wyd. Akademii Ekonomicznej, Wrocław. 6. Type of course Obligatory 7. Teaching team Department of Basic Sciences 8. Course structure Form Number of hours Semester Year Lecture 30/24 I 1 Classes Laboratory 30/24 I 1 Project Seminar Other Total student’s workload 150 I 1 9. Assessment methods: Laboratory –obligatory number of accomplished experiments (positively graded), Written test is the conditions of ranking the lecture. 10. Language of instruction: Polish ECTS Course Catalogue 2010/2011 350
The Witelon University of Applied Sciences in Legnica - Field: Computer science Main subjects: ECTS Course Catalogue 2010/2011 ECTS credits 6 1. Course title Algorithms and data structures 2. Course description Lecture 1. Introduction. Basic definition. Methods of algorithms representation. 2. Basic programming structures. 3. Computational complexity of algorithms. 4. Basic data types: arrays, structures. 5. Complex data types: file, pointer. 6. Recursive algorithm. A derecursivation process. Some case studies of recursion. 7. Sorting algorithms: bubblesort, isertionsort, selectionsort, quicksort, heapsort, mergesort 8. Dinamic data structures: methods of creation and manipulation. 9. Trees: types, creation methods, basic operation, practice. 10. Algorithms of text pattern searching. 11. Graphs: methods of representation in memory, path searching methods. 12. Graphic and geometry algorithms. Laboratory Implementation of the proposed algorithms using C or Pascal programming languages 3. Prerequisites none 4. Learning outcomes Students will be able to solve the problem of algorithms construction, evaluation and optimalisation and present some methods of data structures computation and programming. 5. Literature 1. Silberschatz A., Peterson J.L., Galvin P.B., Podstawy systemów operacyjnych, WNT Warszawa1993 2. Bach M.J., Budowa systemu operacyjnego UNIX, WNT, Warszawa 1995 3. Lister A.M., Eager R.D., Wprowadzenie do systemów operacyjnych, WNT Warszawa 1994 4. Kerningham B.W., Ritchi D.M., Język C, WNT, Warszawa 1988 6. Type of course Obligatory 7. Teaching team Department of Computer Systems 8. Course structure Form Number of hours Semester year Lecture Classes 30/12 2 1 Laboratory Project Seminar 30/12 2 1 Total student’s 180 workload 9. Conditions of the course acceptance: laboratory and written test are the conditions of ranking the lecture 10. Language of instruction Polish 351
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ECTS - PWSZ im. Witelona w Legnicy

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