Search result: Catalogue data in Spring Semester 2017

Mechanical Engineering Bachelor Information
2. Semester
First Year Examinations: Compulsory Courses
NumberTitleTypeECTSHoursLecturers
401-0262-G0LAnalysis II Information O8 credits5V + 3UA. Steiger
AbstractDifferential 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.
ObjectiveIntroduction to the mathematical foundations of engineering sciences, as far as concerning differential and integral calculus.
ContentDifferential- 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 notesU. Stammbach: Analysis I/II
LiteratureU. Stammbach: Analysis I/II
Prerequisites / NoticeDie 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.
401-0172-00LLinear Algebra IIO3 credits2V + 1UN. Hungerbühler
AbstractThis 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.
ObjectiveUpon completion of this course, students will be able to recognize linear structures, and to solve corresponding problems in theory and in practice.
ContentLinear 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
151-0502-00LMechanics 2: Deformable Solids and Structures
Prerequisite: 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.
O6 credits4V + 2UD. Mohr
AbstractSpannungstensor, Verzerrungen, linearelastische Körper, spezielle Biegung prismatischer Balken, numerische Methoden, allgemeinere Biegeprobleme, Torsion, Arbeit und Deformationsenergie, Energiesätze und -verfahren, Knickung.
ObjectiveFor 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.
ContentSpannungstensor, Verzerrungen, linearelastische Körper, spezielle Biegung prismatischer Balken, numerische Methoden, allgemeinere Biegeprobleme, Torsion, Arbeit und Deformationsenergie, Energiesätze und -verfahren, Knickung.
LiteratureMahir B. Sayir, Jürg Dual, Stephan Kaufmann
Ingenieurmechanik 2: Deformierbare Körper, Teubner Verlag
Prerequisites / NoticeSessionsprüfung, schriftliche Prüfung (multiple choice exam on paper), 90 Minuten
Hilfsmittel: 1 Formelsammlung von 3 A4-Seiten. Kein TR.
151-0712-00LEngineering Materials and Production IIO4 credits2V + 2UK. Wegener
AbstractKnowledge 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.
ObjectiveKnowledge 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.
ContentThe 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 notesyes
Prerequisites / NoticePrerequisite: 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
151-0302-00LInnovation ProcessO2 credits1V + 1UM. Meboldt, Q. Lohmeyer
AbstractThe 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.
ObjectiveThe 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.
ContentBasic Development Methodology
- Creativity Techniques
- Evaluation and Selection Methods
- Failure Mode and Effects Analysis (FMEA)
- Questioning Techniques and Test Strategies

Basic Design Methodology
- Basic Rules of Embodiment Design
- Principles of Embodiment Design
- Design for Production
- Prototyping and System Optimization
Lecture notesHandouts of the lecture slides are distributed on the website.
Literature1) Cross, N. (2008) Engineering Design Methods. Chichester, Wiley.
2) Pahl, G.; Beitz, W.; Feldhusen, J.; Grote, K.-H. (2007) Engineering Design. London, Springer.
Prerequisites / NoticeFor Bachelor studies in Mechanical and Process Engineering the lecture "Maschinenelemente" (HS) is examined together with "Innovationsprozess" (FS).
252-0832-00LInformatics Information O4 credits2V + 2UM. Gross, H. Lehner
AbstractThe 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.
ObjectiveThe 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.
ContentAnhand 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.
LiteratureWird noch bekannt gegeben.
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