Please be aware that all subjects are taught in German

Transcription

1 Module descriptions Bachelor degree course Electrical Engineering and Information Technology (B-EI) Version J 16th March.2015 Please be aware that all subjects are taught in German

2 Modules 1 Mathematics for Engineers Mathematics for Engineers Physics Electrical Engineering Electrical Engineering Basics of Computer Science Informatics General Electives a General Electives b Technical and Business English Electrical Metrology Electronics Microcomputers System Theory and Digital Signal Processing Electronics Informatics Object Oriented Programming and Software-Engineering a Object Oriented Programming b Software-Engineering Feedback Control Systems Data networks Fundamentals of Power Engineering and Technology Specialised elective Module (Subject of Specialisation) AUT1 Automation AUT2 Drive and Control Technology AUT3 Human-Machine-Interface ENT1 Power Electronics, Machines and Drives ENT2 Electrical Energy Supply ESY1 Computer aided Circuit Design ESYT2/1 Electromagnetic Compatibility ESY2/2 Quality assurance and test of electronic systems INF1 Operating Systems and Real-Time Systems INF 2/1 Database Systems INF2/2 Interaction INF3/1 Concept and Architecture of Software-Applications INF3/2 Design and Implementation of Software-Applications KOM1/1 Radio Frequency Engineering KOM1/2 Optical Transmission Technologies KOM2/1 Communication Technology KOM2/2 Information Theory and Coding KOM3/1 Communication Networks KOM3/2 Digital Communications Subject-related electives (group 2) Project work and Project Seminar Bachelor Thesis and Bachelor Seminar a Internship b Internship seminar c Modelling and System Simulation d Economics / 55

3 1 Mathematics for Engineers 1 Module Coordinator: Hours per Week: Credits: Prof. Dr. Rademacher hrs. lecture hrs + 2 hrs. tutorial Prerequisites: Knowledge and competency at technical secondary school level (Fachoberschulniveau) Imparting reliable skills in practice-oriented mathematical reasoning and methods Advanced understanding of the mathematical terms, laws, reasoning, and methods that are relevant for information technology and electrical engineering The ability to apply these mathematical terms, laws, reasoning, and methods to practical problems in information technology and electrical engineering Basic knowledge of numerical methods in conjunction with computer software for subsequent scientific or technical simulations Basic Structures of Mathematical Logic: statements, logical operations Real Numbers and Elementary Functions: short review Complex Numbers: number set extension; notations; complex number arithmetic; polynomials and the fundamental theorem of algebra; applications such as superposition of oscillation, frequency response locus etc.; inversion as a complex function Differential Calculus: numerical series and sequences with limits; short review of topics in differential calculus of single variable functions; Graphs, contours, notation and continuity of multi-variable functions; partial derivatives; total differential and linearization; gradient and directional derivative, applications such as error calculation, extremum problems, etc. Integral Calculus: fundamental theorem of calculus; methods of integration; infinite integrals, applications such as arc length, means, etc; introduction to multi-dimensional integral calculus Function Series: focus on power and Taylor series T. Arens, F. Hettlich, C. Karpfinger, U. Kockelkorn, K. Lichtenegger, H. Stachel, Mathematik, Springer-Spektrum, 2011 Kl. Burg, H. Haf, F. Wille, A. Meister, Höhere Mathematik für Ingenieure, Band I, Springer-Vieweg 2012 A. Fetzer, H. Fränkel, Mathematik 1 und 2, Springer, 2012, 2009 H. Fischer, H. Kaul: Mathematik für Physiker, Band I, Springer-Teubner, 2008 M. Knorrenschild, Numerische Mathematik. Eine beispielorientierte Einführung, Hanser, K. Meyberg, P. Vachenauer, Höhere Mathematik, Band 1, Springer, 2001 L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Bände 1,2, Springer-Vieweg, 2007, 2009 P. Stingl, Mathematik für Fachhochschulen, Hanser, 2009 T. Westermann, Mathematik für Ingenieure und Ingenieurmathematik kompakt, Springer, 2011, / 55

4 Students require 268 hours of work to acquire the knowledge and skills described above. These hours are distributed as 90 Hrs Lecture time and assessments 68 Hrs Regular review of course material 35 Hrs Homework and reports 32 Hrs Literature review and free study 43 Hrs Exam preparation This is worth 9 credits. 4 / 55

5 2 Mathematics for Engineers 2 Module Coordinator: Hours per Week: Credits: Prof. Dr. Rademacher Winter term Summer term hrs. lecture + 2 hrs. tutorial Prerequisites: Knowledge and skills from the following courses / modules: - Nr 1 (Mathematics for Engineers 1) Imparting sound knowledge in practice-oriented mathematical reasoning and methods Advanced understanding of the mathematical terms, laws, reasoning, and methods that are relevant for information technology and electrical engineering The ability to apply these mathematical terms, laws, reasoning, and methods to practical problems in information technology and electrical engineering Basic knowledge of numerical methods in conjunction with computer software for subsequent scientific or technical simulations (Development of this knowledge follows from electives) Imparting the essential cooperation between engineering, informatics, and mathematics for effective numerical simulation of technical and economic processes Linear Algebra, Matrix Algebra: vector spaces; matrices and determinants; linear equation systems and matrices; matrices as linear transformations; eigenvalues, eigenvectors of matrices Ordinary Differential Equations: Basic terms; solvability of initial value problems; first order differential equations, second order linear differential equations, higher order linear differential equations and systems of linear differential equations, applications such as (coupled) oscillations, etc. Fourier Analysis and Integral Transformations o Fourier Series: Approximating periodic functions, display formulas, calculation rules, convergence of series, applications as linear differential equations etc. o Fourier Integral and Selected Topics from the Fourier Transform o Laplace Transform: Generalized functions and their derivatives (heaviside function and delta function), characteristics and transformation rules; applications such as differential equations, RCL networks, performance of LTI-Systems, etc. T. Arens, F. Hettlich, C. Karpfinger, U. Kockelkorn, K. Lichtenegger, H. Stachel, Mathematik, Springer-Spektrum, 2011 R. Brigola, Fourieranalysis und Distributionen, edition swk, 2012 Kl. Burg, H. Haf, F. Wille, A.Meister, Höhere Mathematik für Ingenieure, Bände I, II, III, Spinger- Teubner, 2012, 2013 A. Fetzer, H. Fränkel, Mathematik 1 und 2, Springer, 2012 H. Fischer, H. Kaul: Mathematik für Physiker, Band 2, Springer-Teubner, 2007 O. Föllinger, Laplace-, Fourier und z-transformation, Hüthig Verlag, 2003 M. Knorrenschild, Numerische Mathematik. Eine beispielorientierte Einführung, Hanser, E. Kreyszig, Advanced Engineering Mathematics, John Wiley-Sons, / 55

6 K. Meyberg und P. Vachenauer, Höhere Mathematik, Bände 1, 2, Springer, 2001 L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Bände 1,2,3 Springer-Vieweg, 2007, 2009 H. Weber, H. Ulrich, Laplace-Transformation, Springer-Teubner, 2007 T. Westermann, Mathematik für Ingenieure und Ingenieurmathematik kompakt, Springer, 2011, 2012 Students require 273 hours of work to acquire the knowledge and skills described above. These hours are distributed as 90 Hrs Lecture time and assessments 68 Hrs Regular review of course material 35 Hrs Homework and reports 32 Hrs Literature review and free study 48 Hrs Exam preparation This is worth 9 credits. 6 / 55

7 3 Physics Module Coordinator: Hours per Week: Credits: Prof. Dr. B. Braun Part 1: Winter term Summer term Winter term Summer term Part hrs. lecture + 1 hr. tutorial The students learn to understand that all engineering is based on physical laws. They become aware of the most important physical laws that are relevant for Electrical Engineering and Information Technology (except those taught in other basic modules). They become able to understand the physical context underlying complex technical problems. Mechanics: basic principles and quantities (force, force field, potential, power, energy, momentum, angular momentum) Thermodynamics: basic thermal quantities and laws Waves and Particles: fundamentals of generation and propagation of mechanical and electromagnetic waves, basics and applications of wave optics, interaction of particles and waves with matter. Structure of nuclei, atoms, and solids. Description of electronic states in the solid state (energy-band model). Selected chapters from: Hering, Martin, Stohrer, Physik für Ingenieure, Springer Verlag Harten, Physik, Springer Verlag Halliday, Physik, Wiley-VCH U. Leute, Physik, Hanser-Verlag B. Baumann, Physik im Überblick, J. Schlembach Fachverlag G. v. Oppen, F. Melchert, Physik für Ingenieure, Pearson Verlag Students require 165 hours of work to acquire the knowledge and skills described above. These hours are distributed as 45 hours attendance of lectures and seminars 39 hours regular study of the syllabus 38 hours reading and private study 43 hours exam preparation This is worth 6 credits. 7 / 55

8 4 Electrical Engineering 1 Prof. Dr. Wohlrab Written exam 120 min. Hours per Week: 8 Credits: 9 6 hrs. lecture hrs, 2 hrs tutorial In-depth knowledge and deepened understanding of the physical laws and mathematical methods on which electrical engineering is based; ability to evaluate the scope of application and to apply them to engineering problems. DC current: basic quantities of electrical engineering; laws of electric circuits; methods for electrical circuit calculations. Field theory: field quantities, integral quantities and laws of the electrostatic field, flow fields and magnetic fields. Time dependent processes: electrical engineering quantities, calculation and display of sinoidal time dependences; three phase system. Fundamentals of non-sinoidal processes; transient processes in energy storage systems. H. Frohne, Einführung in die Elektrotechnik, Vol. 1+2, Teubner Studienskripten V. Weiß/M. Krause, Allgemeine Elektrotechnik, Vieweg 1987 Students require 28 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 90 hours attendance of lectures and seminars 49 hours regular study of the syllabus 35 hours development and elaboration of solutions 50 hours reading and private study 60 hours exam preparation This is worth 9 credits. 8 / 55

9 5 Electrical Engineering 2 Prof. Dr. Chowanetz Written exam 120 min. Hours per Week: 8 Credits: 9 6 hrs lecture, 2 hrs laboratory Knowledge of elementary definitions and laws of alternating current (AC) Ability to use phasor diagrams Knowledge of alternating current power terms Ability to perform calculations using active resistance and reactance Ability to apply complex alternating current calculations Ability to use loci and Bode diagrams Knowledge of the mechanisms of alternating current bridges Knowledge of the mechanisms of transformers and transmitters, quadripole descriptions and equivalent circuit diagrams Knowledge of the relationships in three-phase systems Knowledge of the behavior of resonance circuits Ability to determine resonance in networks Knowledge of real, passive components and their equivalent circuit diagrams Knowledge of methods to address periodic, non-sinusoidal operations Knowledge of the mechanisms of transients Sinusoidal oscillation, phase, root mean square value (RMS), peak value Phasor diagrams Alternating current dual poles and quadripoles Complex calculations with alternating current Loci, Bode diagrams Three-phase systems Resonance circuits Equivalent circuit diagrams of real sources and passive components Multi-frequency and transient behavior of circuits M. Chowanetz, G. Sztefka, B. Klehn. Electrical Engineering 2 Lecture Notes (available in English and German). G. Hagmann: Grundlagen der Elektrotechnik, Aula M, Albach: Grundlagen der Elektrotechnik 2, Pearson H. Frohne: Einführung in die Elektrotechnik, Bd.3. Teubner-Studienskripten W. Weißgerber: Elektrotechnik für Ingenieure, Bd. 2. Vieweg Students require 284 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 90 hours attendance of lectures and seminars 49 hours regular study of the syllabus 35 hours development and elaboration of solutions 50 hours reading and private study 60 hours exam preparation This is worth 9 credits. 9 / 55

10 6 Basics of Computer Science Prof. Dr. Popp-Nowak SU Pr Hours per Week: 6 Credits: 7 4 hrs lecture, 2 hrs laboratory Ability to analyze and develop digital circuits composed of combinational and sequential circuits Knowledge about the representation of information within a digital computing machine Basic knowledge about developing and executing computer programs Digital electronics: Boolean algebra, switching variables and boolean functions, logics and dynamics, analyzing and synthesizing combinational and sequential circuits, systematically optimizing logic circuits, memory elements, counters, frequency converters, shift registers. Basics of computer science: Historical development of computer science, binary digits, binary arithmetics and binary codes, components of digital computing systems, symbolic / binary machine language, algorithms, programming languages, developing, compiling, executing and testing computer programs Popp-Nowak, F.: Skript zu Grundlagen der Digitaltechnik Herold, H. / Lurz, B. / Wohlrab, K.: Grundlagen der Informatik, Pearson-Studium 2006 Students require 175 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 68 hours attendance of lectures and seminars 32 hours regular study of the syllabus 20 hours preparation and presentations of experiments 34 hours development and elaboration of solutions 26 hours reading and private study 30 hours exam preparation This is worth 7 credits 10 / 55

11 7 Informatics 1 Prof. Dr. Herold L Pr Hours per Week: 6 Credits: 5 2 hrs lecture, 2 hrs laboratory Knowledge about typical data types and structures of a procedural programming language Knowledge about control structures in a higher procedural programming language Knowledge about basic tools for program development (compiler, linker, interpreter, debugger) Ability to solve and realize given problems in a programming language Basic structure of a c program Basic data types, variables, expressions und operators In- and Output Conditional branches (if, switch) Loops (for, while, do..while) Platform independent graphic programming Functions Preprocessor directives Herold, H: C-Programmierung unter Linux, Unix und Windows, millin Verlag, 2004 Students require 135 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 45 hours attendance of lectures and seminars 17 hours regular study of the syllabus 35 hours development of exercise programmes and software solutions 18 hours reading and private study 20 hours exam preparation This is worth 5 credits. 11 / 55

12 8 General Electives 8a General Electives Weekly hours: 2 Subjects with 2 weekly hours each Credits: 4 Lectures: Depending on the chosen subjects SU, Ü, Pr or S Assessment: See Study plan The general elective subjects aim at providing the student with a broad general education in the following fields: Law and Business Foreign s Personality development Technology and Society History and Politics The list of currently offered subjects will be posted every semester either on the notice board or online on the faculty s website. Students require 120 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as Attendance of lectures and seminars Regular study of the syllabus Preparation and presentations of experiments Development and elaboration of solutions Exam preparation This is worth 4 credits. 12 / 55

13 8b Technical and Business English Lecturer Anna-Maria Vizethum Written exam Hours per Week: 2 Credits: 2 2 hrs. lecture / tutorial Students are supposed to acquire a profound of technical English matching the current standards of multinational companies. performance is supposed to reach B1 Level (reading, listening, writing, English in use). Course content: Exercises in Technical and Business English : English in use, reading, listening and writing skills Students require 60 hours of study to acquire the necessary concepts and abilities. These hours are distributed as 24 hours attendance of lectures and practical courses 12 hours regular study per the syllabus 14 hours exercise preparation and private study 10 hours exam preparation This course is worth 2 credits. 13 / 55

14 9 Electrical Metrology Prof. Dr. Chowanetz L Pr Hours per Week: 4 Credits: 5 2 hrs lecture, 2 hrs laboratory Knowledge of the requirements of measurement reports and ability to compile these Ability to identify, evaluate and calculate measurement errors Knowledge of measuring methods for direct and alternate current magnitudes (Voltage and current) Knowledge of measuring methods for resistances and reactances Knowledge of an oscilloscope s mode of operation and ability to operate it Knowledge of the mode of operation of various electric sensors Ability to choose and apply sensors according to task Knowledge of error sources in the application of electric sensors and possibilities to minimise errors Knowledge of the mode of operation of analog to digital and digital to analog converters Ability to select and dimension appropriate AD and DA converters task specific Ability to apply software programs for PC controlling of measurement systems Kinds of errors, error propagation Measured values and characteristics Moving coil instrument Measurement of current, voltage and resistance Sensors Oscilloscopes Digital measurement methods Computer aided Measurement systems E. Schrüfer: Elektrische Messtechnik. Hanser Verlag München, 1992 R.Lerch: Elektrische Mestechnik. Springer Verlag Heidelberg, 1996 Students require 135 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 45 hours attendance of lectures and seminars 20 hours regular study of the syllabus 30 hours preparation and presentations of experiments 20 hours reading and private study 20 hours exam preparation This is worth 5 credits. 14 / 55

15 10 Electronics 1 Prof. Dr. Klehn L Pr Hours per Week: 6 Credits: 7 4 hrs lecture, 2 hrs laboratory Requirements: Successful completion of courses Nr. 1 (Math for Engineers), Nr. 3 (Physics) Nr. 4 and 5 (Electrical Engineering 1 and 2) Course Objectives: Knowledge of the nomenclature, the distribution and the characteristics of electronic components; Understanding the physical structures and properties, specifications and modeling of passive and active components; Detailed knowledge (electrical characteristics) of pn-junctions, diodes, bipolar- and field effect-transistors; Explaining the different types of diodes (Silicon-, Schottky-, Zener- and Photodiodes); How to characterize bipolar and MOS transistors in discrete applications (including operating point, small signal model, control limits and switching behavior); Introduction of Power devices like IGBTs and COOLMOS, principles, characteristic curves and usage; Basics of electronic components: characterization, identification, distribution, what is important for data sheets, mounting, manufacturing tolerances, heat flow. Passive electronic components: structures, used materials, characteristics, evaluation of characteristics, models, parasitics, control limits, transmission lines, resonators. Semiconductor devices: basics of semiconductors and pn-transitions; characteristics, characteristic curves, models, model equations, temperature effects of pn-transitions. Diodes: structures, characteristic curves, models and model equations, influences of parasitics for different diode-types and possible applications. BJTs and MOSFETs: operation ranges, characteristic curves, temperature effects, models and model equations, influences of parasitics, control limits, operating points, linearised models, switching characteristics, basic applications. Semiconductors for power applications (e.g. IGBT). Laboratory Experiments: Dedicated test-setups for measurement of resonators, diode characteristics curves, switching characteristics, transistor characteristic curves and basic application circuits. Reisch, M: Elektronische Bauelemente, Springer Verlag, 2007 Thuselt, F.: Physik der Halbleiterbauelemnte, Springer Verlag, 2011 Siegl, J.: Elektronik 1 - Bauelemente, 15 / 55

16 Students require 197,5 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 67.5 hours attendance of lectures and seminars 20 hours regular study of the syllabus 30 hours problem-solving exercises 40 hours simulation experiments 20 hours reading and private study 20 hours exam preparation This is worth 7 credits. 16 / 55

17 11 Microcomputers Prof. Dr. Urbanek Part 1 Part 2 Hours per Week: 6 Credits: 7 4 hrs lecture, 2 hrs laboratory Knowledge of the basic architecture of microcomputers Knowledge of essential features microprocessors Ability of understanding microprocessor busses Knowledge of little and big endian memory access Knowledge of addressing memory and peripherals Knowledge of important onchip memories Knowledge of important I/O-Interfaces Knowledge of PC-architecture principles Ability to design a simple, bus based, single board microcomputer Basics of a microcomputer system: architecture, basic building blocks Basics of a CPU: ALU, addresses, bus, opcode, format, RISC, CISC Address Decoder with Chip Select and address tables Memory: ROM, EPROM, EEPROM, Flash EPROM, SRAM, DRAM, SDRAM, DDR, DDR2 I/O: ports, interrupt, direct memory access Introduction to microcontrollers with a 32 bit ARM microcontroller Computer design with a 32 bit microcontroller: Schematics, Timing, Programming Peter Urbanek: Mikrocomputer, Script Students require 203,5 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 67,5 hours attendance of lectures and seminars 30 hours regular study of the syllabus 40 hours preparation and presentations of experiments 35 hours reading and private study 32 hours exam preparation This is worth 7 credits. 17 / 55

18 12 System Theory and Digital Signal Processing Prof. Dr. Schröder Hours per Week: 6 Credits: 6 4 hrs. lecture, 2 hrs. tutorial Ability to describe deterministic signals and linear systems in the time and frequency domain Ability to perform comparisons between the different description-possibilities Knowledge of the most important system structures and methods of signal processing Ability to develop and apply time continuous and time discrete signal processing systems Description of time continuous and time discrete signals and systems in the time domain: differential and difference equations, standard-signals, convolution Description in the frequency domain: Fourier transformation, frequency response, model systems, sampling theorem Laplace and z-transformation: transfer function, calculation of transients in time continuous and time discrete systems, stability of linear systems, all-pass and minimal phase systems State space description: solving methods, canonical forms Design of time discrete systems Girod, Rabenstein, Stenger: Einführung in die Systemtheorie, Teubner-Verlag Mildenberger: System- und Signaltheorie, Vieweg-Verlag Unbehauen: Systemtheorie, Oldenbourg-Verlag Lecturer s own script Students require 194,5 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 67,5 hours attendance of lectures and seminars 49 hours regular study of the syllabus, exercises 28 hours reading and private study 50 hours exam preparation This is worth 6 credits. 18 / 55

19 13 Electronics 2 Prof. Dr. Zocher Hours per Week: 6 Credits: 7 2 hrs lecture, 2 hrs laboratory Requirements: Electronics 1, Electrical circuits Knowledge of methods for modeling, design and verification of analog and analog/digital circuits; Ability to use appropriate utilities to pre-estimate and dimension of circuits; students should know effects of feedback-loops in circuits and they should have a basic knowledge of the most important basic analog and analog/digital functional circuits in practical applications. Methods: Introduction in design modeling and verification with commonly used design tools (e.g. PSpice); approaches for approximate calculation of circuit characteristics. Transistor-Level-Circuits: DC (operating point) analysis; stability of operating points with respect to variable temperature and manufacturing tolerances; methods to stabilize operating points; AC analysis to get circuit characteristics (e.g. transfer behaviour, interface impedances, driving resistance); Operational Amplifiers: Characteristics and modeling of operational amplifiers; influences of feedback-loops in amplifiers and how feedback-loops change characteristics (signal transmission and interface impedances); stability of feedback-loops, conditions to avoid oscillations; examples of commonly used applications for operational amplifiers. Switching behaviour of transistors in electronic circuits; control limits of transistor-level circuits; significant applications; analysis of commonly used application circuits (power amplifier, power MOS-, IGBT switching circuits, DC-DC converter, ). Laboratory experiments: Collateral practical experiments in using PSpice; students have to setup examplecircuits with transistors, operational amplifiers and power MOS-FETs (e.g. amplifiers, inverting and noninverting amplifiers, differentiator, integrator, schmitt-trigger, active rectifier, function generator, H-bridge) to characterize most important properties and to compare simulation results with measurement results. Siegl, J; Zocher, E. : Schaltungstechnik analog und gemischt analog/digital, Springer Verlag, 5. Auflage, 2013 Zocher, E. : Skriptum zu Elektronik 2 (Schaltungstechnik), im efi-intranet Students require hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 67.5 hours attendance of lectures and seminars 38 hours regular study of the syllabus 60 hours for development, lab preparation, elaboration and presentation of solutions 13 hours reading and private study 20 hours exam preparation This is worth 7 credits. 19 / 55

20 14 Informatics 2 Prof. Dr. Herold Hours per Week: 5 Credits: 5 3 hrs lecture, 2 hrs laboratory Finalizing procedural programming knowledge: Knowledge about arrays and pointers Ability to work with strings Knowledge about dynamic memory management Knowledge about basic techniques for linked data structures Knowledge about recursive problem solution Knowledge about file handling Ability to modularize Ability to design and test software Contents: Arrays, pointers, dynamic memory allocation and deallocation String handling Arguments to main Essential data structures (linked lists, binary trees) File handling Formal representation and notation of a deterministic and a non-deterministic finite state machine, state reduction, practical application of a finite state machine for hardware- and software-development Herold, H: C-Programmierung unter Linux, Unix und Windows, millin Verlag, 2004 Bäsig, J: Skript zu Automaten und ihre Anwendung Students require 151,3 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 56,3 hours attendance of lectures and seminars 15 hours regular study of the syllabus 45 hours for development of exercise programmes and software solutions 10 hours reading and private study 25 hours exam preparation This is worth 5 credits. 20 / 55

21 15 Object Oriented Programming and Software-Engineering 15a Object Oriented Programming Prof. Dr. Mahr Hours per Week: 4 Credits: 4 2 hrs lecture, 2 hrs laboratory Mediation of knowledge of object-oriented programming: syntax and semantics of classes and objects Knowledge of constructors and destructors, operator functions and type conversion functions Knowledge of single and multiple inheritation and composition of classes Knowledge of virtual methods and polymorphic objects Knowledge of template classes and template functions Knowledge of input/output with stream classes Ability to transform real world problems into a set of classes Ability to object-oriented design and implementation of application software Contents: Classes and objects, methods and attributes Constructors and destructors Operator functions and type converting functions Static methods und attributes Inheritation and composition of classes Virtual methods and polymorphic objects Template classes and template functions Exception handling Lecture handout: "Programmierung mit C++", Peter Jesorsky; "Thinking in C++", Bruce Eckel, Prentice Hall; Students require 130 hours of study to acquire the necessary knowledge and abilities. These hours are distributed as 45 hours attendance of lectures and seminars 15 hours regular study of the syllabus 30 hours for development of exercise programmes and software solutions 15 hours reading and private study 25 hours exam preparation This is worth 4 credits. 21 / 55