Students are introduced to parallel data processing, learn concepts of parallel data processing, learn about the power of parallel computing (acceleration, efficiency, redundancy, utilization) and program in parallel for shared memory and distributed memory using different program interfaces. The goal is the acquisition of knowledge and skills of constructing parallel algorithms, and of implementing parallel computational methods of engineering practice on various contemporary parallel computers. Department of Civil and Environmental Engineering RUB main campus Modern Programming Concepts in Engineering Week1: Introduction Week2: followed by Week3 to the Final Week Prof. Dr.-Ing. M. König , Dr.-Ing. K. Lehner, Assistants Places for 5 guest students available 6 ECTS 2nd Semester / Summer term Lecture with exercise Homework (Presentation) – 100% Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=49

The course starts with an introduction to the advanced analytical techniques of linear elasticity theory, then moves on to the continuum-mechanical concepts of nonlinear elasticity and ends with the discussion of material instabilities and microstructures. Extended knowledge in continuum-mechanical modelling and solution techniques as a prerequisite for computer-oriented structural analysis. Department of Civil and Environmental Engineering RUB main campus Mathematical Aspects of Differential Equations and Numerical Methods (CE-P01) Mechanical Modeling of Materials (CE-P02) Week1: Introduction Week2: followed by Week3 to the Final Week Prof. Dr. rer. nat. K. Hackl, Prof. Dr. rer. nat. K.C. Le Places for 5 guest students available 6 ECTS 2ndSemester / Summer term Lecture with exercise Written examination / 120 minutes Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=17

The course introduces the first principles of the dynamics of discrete and continuous mechanical systems: Newton laws and Hamilton variational principles. Within this course the students learn computer aided controller design and simulation using Matlab/Simulink software. The students will learn about first principles in dynamics of discrete and continuous mechanical systems, methods for the solution of dynamical problems and their application to structural dynamics and active vibration control. Acquiring knowledge in fundamental control methods, structural mechanics and modelling and their application to the active control of mechanical structures. Department of Civil and Environmental Engineering RUB main campus Mathematical Aspects of Differential Equations and Numerical Methods (CE-P01) Mechanical Modeling of Materials (CE-P02) Basic knowledge in Structural Mechanics, Control Theory and Active Mechanical Structures Week1: Introduction Week2: followed by Week3 to the Final Week Prof. Dr.-Ing. T. Nestorović, Prof. Dr. rer. nat. K. C. Le Places for 5 guest students available 6 ECTS 2nd Semester / Summer term Lecture with exercise The courses take place at the same time, whereby the students have to choose a focus. Written examination / 150 minutes Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=22

The main goal of this course is to qualify students to numerically solve nonlinear problems in engineering sciences. Students will learn about non-linear continuum mechanics. Department of Civil and Environmental Engineering RUB main campus Finite Element Methods in Linear Structural Mechanics (CE-P05) Basic knowledge in Structural Mechanics, Control Theory and Active Mechanical Structures Basics in Mathematics, Mechanics and Structural Analysis (Bachelor) Week1: Introduction Week2: followed by Week3 to the Final Week Prof. Dr. techn. G. Meschke, Assistants Places for 5 guest students available 6 ECTS 2nd Semester / Summer term a) Lecture b) Exercise There are two events for this course (see contact_adress), but they belong together. Written examination/ 120 minutes (85%) Seminar papers & PC exercise / Homework (15%) Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=25

The class provides an overview of numerical techniques that are used to solve the partial differential equations describing fluid flow problems. Students become familiar with modern methods for the numerical solution of complicated flow problems. This includes: finite element and finite volume discretizations, a priori and a posteriori error analysis, adaptivity, advanced solution methods of the discrete problems including particular multigrid techniques Department of Civil and Environmental Engineering RUB main campus Basic knowledge of: partial differential equations and their variational formulation, finite element methods, numerical methods for the solution of large linear and non-linear systems of equations Week1: Introduction Week2: followed by Week3 to the Final Week Prof. Dr. R. Verfürth, Assistants Places for 5 guest students available 6 ECTS 2nd Semester / Summer term Lecture with exercise Written examination / 120 minutes Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=27

The course is concerned with inelastic material models including their algorithmic formulation and implementation in the framework of nonlinear finite element analyses. Special attention will be paid to efficient algorithms for physically nonlinear structural analyses considering elastoplastic models for metals, soils and concrete as well as damaged based models for brittle materials. The goal of the course is to convey to students the ability to formulate and to implement inelastic material models for ductile and brittle materials within the context of the finite element method and to perform nonlinear ultimate load structural analyses. Department of Civil and Environmental Engineering RUB main campus Basic knowledge of tensor analysis, continuum mechanics and linear Finite Element Methods is required;participation in the lecture ,,Advanced Finite Element Methods’’ (CE-WP04) is strongly recommended Block seminar Prof. Dr. techn. G. Meschke, Assistants Places for 5 guest students available 3 ECTS 2nd Semester / Summer term Lectures including exercises Block seminar Project work (implementation of nonlinear material models) and final student presentation within the scope of a seminar (100%) Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=30

The course introduces modern numerical and stochastic methods. Students become familiar with modern numerical and stochastic methods. Department of Civil and Environmental Engineering RUB main campus Basic knowledge of: partial differential equations, numerical methods and stochastics Week1: Introduction Week2: followed by Week3 to the Final Week Prof. Dr. H. Dehling, Assistants Prof. Dr. R. Verfürth, Assistants Places for 5 guest students available 6 ECTS 2nd Semester / Summer term Lecture with exercise Written examination / 120 minutes Dipl.-Ing. Jörg Sahlmen: comp-eng@rub.de https://compeng.rub.de/images/stories/Curriculum/ModulHandbuchWS1920/Modulhandbuch_CompEng_WS1920.pdf#page=32

The lecture gives an overview of the Crystal Engineering of small molecules. Students acquire a broad overview on Crystal Engineering of small molecules Faculty of Chemistry and Biochemistry RUB main campus Knowledge of basic methods for inorganic and organic chemistry Week1: Introduction Week2: followed by Week3 to the Final Week K. Merz ~ 20 Students 5 ECTS Intended for semester 1 / 3 Lecture (and exercise) Every sommer semester a. Passing the written exam b. oral presentation of a current published article in the field of Crystal Engineering anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=93

(1) Antenna Arrays

(2) Reflector Antennas

(3) Equivalent Theory and Aperture Antennas

(4) Antenna Synthesis problems.

(5) Smart Antennas

(6) Frequency Independent Antennas

The object of this course is to introduce the graduate students (or senior undergraduate students) more advantced subjects in the antenna related areas. It is particularly useful for the students to pursue the advanced studies and researches in the antenna area. Not only the basic theory will be introduced, the practical applications will also summarized. This students should have basic background in electromagnetics and antenna concepts. After taking this course, in conjunction with the basic antenna course, the students should have the sufficient background to explore the potentials of antenna technologies in the practical applications. College of Electrical Engineering & Computer Science Main Campus Hsi-Tseng Chou 60 Monday 2,3,4 EE5094 3 Half Graduate Institute of Electrical Engineering, Graduate Institute of Communication Engineering http://www.ee.ntu.edu.tw/en/

1. Fundamentals to robotics
2. Sensor technologies
Classification of sensors:
— Active sensor: an active sensor has a physical input, an electrical
Output, and an electrical excitation input (I. E., three energy ports) examples: electromechanical element, photoelectric element, piezoelectric element and thermoelectric element
— Passive sensor: a passive, or self-generating, sensor is one which has an input and output (i.e., two energy ports)
examples: capacitate element, inductive element and potentiometer element.
Sensor characterization:
— Detection means of sensors: biological, chemical, electric, magnetic, or electromagnetic wave, heat, temperature etc.
Conversion phenomena of sensors:

Thermoelectric, photoelectric, photomagnetic, magnetoelectric

Elastomagnetic, thermoelastic, elastoelectric
Thermomagnetic ,thermo-optic, photoelastic, etc
Technological aspect of sensors:
Ambient conditions allowed, full-scale output, hysteresis, linearity, measured range, offset, operating life, overload
characteristics, repeatability, resolution, selectivity, sensitivity, speed of response, stability, others
Fundamental circuit of sensors:
3. Robot sensors
– Force and tactile sensors: sensor type, tactile information processing, integration challenges
– Inertial sensors, GPS, and odometry
– Sonar sensors: sonar principles, waveforms, time of flight ranging,sonar rings

– Range sensors: range sensing basics, registration, navigation
– 3-D vision and recognition: visual slam (simultaneous localization and

Mapping). Recognition
4. Multisensor data fusion and integration:

– multisensor fusion methods, multisensor fusion and integration architectures,

Various multisensor fusion and integration applications
5. Robot control:
– principles of robot control, category of robot control, joint space versus task
Space control, the basic components of visual servo control, image based visual servo control, position based visual servo control and target tracking servo control
6. Practical examples of robot sensing and control through photos and video demonstrations.
College of Electrical Engineering & Computer Science Main Campus Ren C. Luo 20 Thursday A,B,C EE5135 3 Half Graduate Institute of Electrical Engineering http://www.ee.ntu.edu.tw/en/

Part I: Sequence Homology
Introduction to basic algorithmic strategies
Pairwise sequence alignment
Multiple sequence alignment
Chaining algorithms for genomic sequence analysis
Suboptimal alignment
Comparative genomics
Compressed / constrained sequence comparison
Hidden Markov models (the Viterbi algorithm et al.)
Part II: Sequence Composition
Sequence assembly
Maximum-sum and maximum-density segments
SNP and haplotype data analysis
Approximate gapped palindrome
Genome annotation
Other advanced topics
College of Electrical Engineering & Computer Science Main Campus *Restrict to 3rd-year and above. Kun-Mao Chao 50 Tuesday 2,3,4 CSIE5028 3 Half Graduate Institute of Computer Science & Information Engineering,

Graduate Institute of Biomedical Electronics and Bioinfornatics
http://www.csie.ntu.edu.tw/main.php?lang=en

The discovery of superconductor in 1911 can be marked as the inception of contemporary solid state physics. The quest for understanding the mechanism behind superconductivity lasted for decades, until the BCS theory finally arrived in 1957. However, the endeavor to discover high-Tc superconductor continued till today. The rich variations of novel solid state materials also emerged during the past 50 years, with the advancement of materials growth technology. In this course, we will start from some advanced languages of solid state physics such as second quantization and Hubbard model, then discuss several materials systems using these new tools.

(0) Quick review of basic solid state physics

(1) Second quantization of fermions

(2) Electron-electron interaction

(3) Hubbard model

(4) Mott insulator and localization

(5) Second quantization of bosons

(6) Electron-phonon interaction

(7) Bose-Einstein condensation

(8) Superconductor

(9) BCS theory

(10) Mesoscopic transport

(11) Quantum Hall effect

College of Social Engineering Main Campus Chi-Feng Pai 40 Wednesday 2,3,4 MSE5053 3 Half Department of Materials Science and Engineering,
Graduate Institute of Materials Science and Engineering http://www.mse.ntu.edu.tw/index.php?lang=en