Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

# Search result: Catalogue data in Spring Semester 2017

Number Title Type ECTS Hours Lecturers Mechanical Engineering Bachelor 2. Semester First Year Examinations: Compulsory Courses 401-0262-G0L Analysis II O 8 credits 5V + 3U A. Steiger Abstract Differential and integral calculus for functions of one and several variables; vector analysis; ordinary differential equations of first and of higher order, systems of ordinary differential equations; power series.For each of these topics many examples from mechanics, physics and other areas. Objective Introduction to the mathematical foundations of engineering sciences, as far as concerning differential and integral calculus. Content Differential- und Integralrechnung von Funktionen einer und mehrerer Variablen; Vektoranalysis; gewöhnliche Differentialgleichungen erster und höherer Ordnung, Differentialgleichungssysteme; Potenzreihen. In jedem Teilbereich eine grosse Anzahl von Anwendungsbeispielen aus Mechanik, Physik und anderen Lehrgebieten des Ingenieurstudiums. Lecture notes U. Stammbach: Analysis I/II Literature U. Stammbach: Analysis I/II Prerequisites / Notice Die Übungsaufgaben (inkl. Multiple Choice) sind ein wichtiger Bestandteil der Lehrveranstaltung. Es wird erwartet, dass Sie mindestens 75% der wöchentlichen Serien bearbeiten und zur Korrektur einreichen. 401-0172-00L Linear Algebra II O 3 credits 2V + 1U N. Hungerbühler Abstract This course is the continuation of the course Linear algebra I. Linear algebra is an indispensable tool of engineering mathematics. The course offers an introduction into the theory with many applications. The new notions are practised in the accompanying exercise classes. Objective Upon completion of this course, students will be able to recognize linear structures, and to solve corresponding problems in theory and in practice. Content Linear maps, kernel and image, coordinates and matrices, coordinate transformations, norm of a matrix, orthogonal matrices, eigenvalues and eigenvectors, algebraic and geometric multiplicity, eigenbasis, diagonalizable matrices, symmetric matrices, orthonormal basis, condition number, linear differential equations, Jordan decomposition, singular value decomposition, examples in MATLAB, applications. Literature * K. Nipp / D. Stoffer, Lineare Algebra, vdf Hochschulverlag, 5. Auflage 2002* K. Meyberg / P. Vachenauer, Höhere Mathematik 2, Springer 2003 151-0502-00L Mechanics 2: Deformable Solids and StructuresPrerequisite: 151-0501-00L Mechanics 1: Kinematics and Statics This course is only for students of Mechanical Engineering, Civil Engineering and Human Movement Sciences.Students in Human Movement Sciences and Sport must enrol in "Mechanics 1" and "Mechanics 2" as a yearly course. O 6 credits 4V + 2U D. Mohr Abstract Spannungstensor, Verzerrungen, linearelastische Körper, spezielle Biegung prismatischer Balken, numerische Methoden, allgemeinere Biegeprobleme, Torsion, Arbeit und Deformationsenergie, Energiesätze und -verfahren, Knickung. Objective For the mechanical design of systems, knowledge about basic concepts of continuum mechanics are indispensable. These include mechanical stress, deformations, etc. which are demonstrated on simple examples resulting in an understanding which is both mathematically correct and intuitive. In this course students learn the basic concepts of the mechanics of deformable media that they will later apply in other courses such as Dimensioning which are closer to real engineering applications. Content Spannungstensor, Verzerrungen, linearelastische Körper, spezielle Biegung prismatischer Balken, numerische Methoden, allgemeinere Biegeprobleme, Torsion, Arbeit und Deformationsenergie, Energiesätze und -verfahren, Knickung. Literature Mahir B. Sayir, Jürg Dual, Stephan KaufmannIngenieurmechanik 2: Deformierbare Körper, Teubner Verlag Prerequisites / Notice Sessionsprüfung, schriftliche Prüfung (multiple choice exam on paper), 90 MinutenHilfsmittel: 1 Formelsammlung von 3 A4-Seiten. Kein TR. 151-0712-00L Engineering Materials and Production II O 4 credits 2V + 2U K. Wegener Abstract Knowledge about the properties and application area of metals. Understanding the fundamentals of high polymers and ceramics for engineers that can be confronted with material decisions in construction and production. Objective Knowledge about the properties and application area of metals. Understanding the fundamentals of high polymers and ceramics for engineers that can be confronted with material decisions in construction and production. Content The lecture contains two parts:For metallic materials fatigue and heat treatment will be discussed. Physical properties such as thermal, electric and magnetic properties will be examined. Important iron- and non-iron- alloys will be introduced and their cases of applications will be discussed. In the second part of the lecture the structure and the properties of the high polymers and ceramics will be discussed. Important subareas are the crystalline and non-crystalline materials and the porous solid bodies, the thermal- mechanical engineering material behaviour, as well as the probabilistic fracture mechanics. Beside the mechanic- the physical-properties will be also discussed. Engineering material related fundamentals of the productions engineering will be discussed. Lecture notes yes Prerequisites / Notice Prerequisite: Lecture “"Engineering Materials and Production I"”Examination: Session examination; Written examination in Engineering Materials and Production I. and II.; Allowed resources: Scripts Engineering Materials and Production I and II, pocket calculator, No laptop nor mobile phone; Duration: 2 Hours.Repetition only in the examination session after FS 151-0302-00L Innovation Process O 2 credits 1V + 1U M. Meboldt, Q. Lohmeyer Abstract The lecture considers the basic steps of the innovation process from the idea to the product with a special focus on the corresponding elements of the design and development methodology. The methods and tools are practical applied in the accompanied Innovation Project. Objective The students know the basic steps of the innovation process as well as the methods supporting the design and development within. In addition to this the students enable the competence to choose, adapt and apply suitable methods depending on the current situation. Content Basic Development Methodology- Creativity Techniques- Evaluation and Selection Methods- Failure Mode and Effects Analysis (FMEA)- Questioning Techniques and Test StrategiesBasic Design Methodology- Basic Rules of Embodiment Design- Principles of Embodiment Design- Design for Production- Prototyping and System Optimization Lecture notes Handouts of the lecture slides are distributed on the website. Literature 1) Cross, N. (2008) Engineering Design Methods. Chichester, Wiley.2) Pahl, G.; Beitz, W.; Feldhusen, J.; Grote, K.-H. (2007) Engineering Design. London, Springer. Prerequisites / Notice For Bachelor studies in Mechanical and Process Engineering the lecture "Maschinenelemente" (HS) is examined together with "Innovationsprozess" (FS). 252-0832-00L Informatics O 4 credits 2V + 2U M. Gross, H. Lehner Abstract The fundamental elements of imperative programming languages (variables, assignments,conditional statements, loops, procedures, pointers, recursion) are explained on the basis of C++.Simple data structures (lists, trees) and fundamental algorithms (searching, sorting) are discussed and implemented. Finally, the concept of object oriented programming is briefly explained. Objective The fundamental elements of imperative programming languages (variables, assignments,conditional statements, loops, procedures, pointers, recursion) are explained on the basis of C++.Simple data structures (lists, trees) and fundamental algorithms (searching, sorting) are discussed and implemented. Finally, the concept of object oriented programming is briefly explained. Content Anhand der Programmiersprache C++ werden die elementaren Elemente der imperativen Programmiersprachen (Variablen, Zuweisungen, bedingte Anweisung, Schleifen, Prozeduren, Pointer) eingeführt. Darauf aufbauend, werden dann einfache Datenstrukturen, z.B. Listen und Bäume, sowie grundlegende Algorithmen, z.B. zum Suchen und Sortieren, behandelt. Elementare Techniken zur Analyse von Algorithmen (wie asymptotische Laufzeitanalyse, Invarianten) werden vermittelt. Abschliessend wird kurz das Konzept der Objektorientierung erläutert. Literature Wird noch bekannt gegeben. Additional First Year Courses 151-0300-00L Innovation Project O 2 credits 2U M. Meboldt Abstract The students are going through a product development process starting with the first idea to the functional product. The participants will learn to work on a complex development task in a team (5-6 pers.), to structure a given problem, to generate and evaluate ideas as well as the design and realization of the product with subsequent verification. Objective The students learn and experience the principles of product development. In addition to acquiring development methodical responsibilities, the main focus is on working together as a team. The participants are taught how to structure a complex development objective and how to achieve this objective in team work. In the end, the students will master the basics of development processes and development methodical tools. Prerequisites / Notice Successfull completion of the project is mandatory for lecture certificate. Engineering Tool IThe participation at the Engineering Tools course is mandatory. If you miss any classes, no credit points will be awarded. For exemptions you have to contact the lecturer of the course. 151-0040-01L Engineering Tool I: Computer-Based Mathematics The Engineering Tool course is for MAVT-Bachelor students only. O 0.4 credits 1K S. P. Kaufmann, J. Dual Abstract Introduction to computer-based mathematics using Mathematica Objective Basics of computer-based mathematics with Mathematica. Content - Basics of computer-based symbolic calculation using Mathematica;- using the front end: online help, entering mathematical expressions, numerical calculations;- symbolic calculations: polynomials, equations, calculus, graphics, animations, lists, programming graphics;- how does Mathematica work;- basic programming techniques, literature. Lecture notes See "Lerning materials" Literature Stephan Kaufmann: "A Crash Course in Mathematica", Birkhäuser Verlag, Basel, 1999 (ISBN 3-7643-6127-1) Prerequisites / Notice Block course in the first week of the semester.
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