Contents: Inter- and intramolecular interactions, protein structures: random coil, alpha-helix, beta-sheet. Methods to unravel secondary, tertiary, and quartery structures and dynamics. Förster resonance energy transfer (FRET), circular dichroic spectroscopy (CD), Infrared and Raman spectroscopies, Scattering methods, Microscopic methods. Students acquire advanced knowledge on experimental methods and their applications in biophysical chemistry with a focus on structure determining methods. Faculty of Chemistry and Biochemistry RUB main campus Basic knowledge of physical chemistry Week1: Introduction Week2: followed by Week3 to the Final Week Ebbinghaus, Havenith, Herrmann ~ 30 Students 5 ECTS a)b) 4 ECTS c) 1 ECTS Intended for semester 1 / 3 a) Lecture b) Exercise c) Seminar Every summer semester Written exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=141

Contents: Principles of non-linearity, spectroscopic methods based on non-linear effects, microscopic methods based on non-linear effects. Students acquire a broad overview over spectroscopy and microscopy techniques that are based on nonlinear optics. Faculty of Chemistry and Biochemistry RUB main campus Concepts of spectroscopy I or a general knowledge about linear optics. Week1: Introduction Week2: followed by Week3 to the Final Week M. Havenith-Newen, Ch. Hermann, K. Morgenstern, P. Nürnberger ~ 20 Students 5 ECTS Intended for Semester 2 / 4 Lecture and Exercise Every summer semester Oral or written exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=148

In this course, advanced topics and concepts of organic chemistry are covered and compounds are made to various aspects of different concepts. In addition links are drawn to theoretical, physical and spectroscopical aspects of these concepts. Students aquire knowledge on the theory of advanced topics and concepts of Organic Chemistry such as pericyclic reactions, heterocyles, supramolecular chemistry and natural compounds. Faculty of Chemistry and Biochemistry RUB main campus Basic knowledge of organic chemistry Week1: Introduction Week2: followed by Week3 to the Final Week G. v. Kiedrowski, W. Sander 5 ECTS Intended for Semester 2 Lecture and exercise Every summer semester Written exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=77

This course deals with the basics of electrochemistry. It builds on the preceeding course Advanced methods in electroanalytical chemistry I. The students should gain an advanced understanding of theory and practice of modern electroanalytical techniques, applications, and possible combinations with other methods like e.g. spectroscopic methods. Faculty of Chemistry and Biochemistry RUB main campus Advanced knowledge of basic electrochemistry Week1: Introduction Week2: followed by Week3 to the Final Week J. Masa, N. Plumeré, K. Tschulik, E. Ventosa, W. Schuhmann ~ 40 Students 5 ECTS Intended for Semester 2 Lecture and exercise Every summer semester 30 – 45 min end-of-term oral exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=81

Key enzymes for the transformation/generation of H2, CO2, CO, O2, H2O, CH4 are presented. Based on literature examples, detailed information on how to mimic such enzymes are given. Basic ideas and up-to-date literature examples are presented to show problems and possible solutions on how to active such small molecules. Students acquire a broad overview and in-depth knowledge on mimicking natural enzymes using chemical synthesis. Faculty of Chemistry and Biochemistry Knowledge of basic inorganic coordination chemistry. U.-P. Apfel ~ 20 Students 5 ECTS Intended for semester 1 / 3 Lecture and exercise Every summer term Written exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=90

The detailed contents of this particular course will be composed from selected research areas. The purpose of this module is to familiarize students with important examples of different materials classes, particularly in view of their functional properties, and characterization methods useful for elucidating their structure and optimizing their function in various applications. Faculty of Chemistry and Biochemistry Basic knowledge of general and inorganic chemistry; interest in functional materials. R. Beranek, A. Devi, R. A. Fischer, S. Henke ~ 30 Students 5 ECTS Intended for Semester 2 / 4 a series of lectures, guest lectures, colloquia Every summer semester Written exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=91

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

Students will get an overview of the different membrane receptors and ion channels, their structure-function relationships and the intracellular signal transduction pathways with which these receptors are connected. Another focus is to understand the interplay between the different signal transduction pathways and the regulatory principles that govern these pathways. Students will gain overview knowledge, an extended understanding of certain interactions and their principles and basic concepts of biochemistry should be learned and understood. Students will understand the far-reaching implications that signal transduction pathways have for cell physiology and the organism as a whole. Faculty of Chemistry and Biochemistry RUB main campus Familiarity with the contents of the relevant Bachelor level course (e.g. Biochemistry 0, I, II, and III of RUB) Week1: Introduction Week2: followed by Week3 to the Final Week Michael Hollmann, Rolf Heumann ~45 Students 7 ECTS Intended for Semester 2 Lecture Every summer semester end-of-term exam anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=122 ff.

* Digital images and representations
* Image quality improvment
* Image restauration and filtering
* Contours extraction
* Image segmentation
* Visual perception
* Colour images

3 lab sessions: 2x3h to illustrate some basic image processing methods + 1x3h to study an iris recognition algorithm

http://phelma.grenoble-inp.fr/en/studies/image-processing-first-level-5pmbipb8 Introduction to the basis techniques of image processing Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Numerical images and representations
Image improvement
Image restoration and filtering
Contour extraction
Threshold, segmentation and classification
Visual perception
Digital color images Basic notions of signal processing
Basic notions of Matlab programming Alice Caplier 4 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Continuous assessment international.cic_tsukuba@grenoble-inp.fr

Aspects covered in class will include:
– pronunciation, intonation, voice projection, body language
– language work including: general and specialised vocabulary in context; use of appropriate tenses, connectors and register in oral & written discourse
– adequate use of professional presentation tools for slide and poster design
– insights into the history of research and the development of technologies (and their presentation based on scientific sources)
– listening-comprehension, note-taking and abstract writing practice
– ethical considerations in research

http://phelma.grenoble-inp.fr/en/studies/english-masters-ii-wpmcang2 This course description applies to several M2R programmes. Our aim will be:
– to improve oral/written comprehension and speaking skills through regular practice
– to master professional presentation tools (using adequately designed slides and posters) and discuss research findings using clear, accurate language
– to improve note-taking and reporting skills, to be able to structure and write-up an abstract
– to work as a team on joint projects
– to learn to convince others of the value of one’s research interests and to answer questions constructively, taking into account the specificity of once’s audience
– to understand the value of sharing a joint technical and scientific culture in a multicultural context Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Aspects covered in class will include:
– pronunciation, intonation, voice projection, body language
– language work including: general and specialised vocabulary in context; use of appropriate tenses, connectors and register in oral & written discourse
– adequate use of professional presentation tools for slide and poster design
– insights into the history of research and the development of technologies (and their presentation based on scientific sources)
– listening-comprehension, note-taking and abstract writing practice
– ethical considerations in research Minimum entrance level: B1
B2 level required to obtain the grade of Master
All students will take the Bulats test at the end of the semester to certify their B2 level Laurence Pierret, Veronique Beguin 2 2nd year of master Tutoring Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Continuous assessment international.cic_tsukuba@grenoble-inp.fr

* Introduction
* Bayesian estimators
* Priori choice
* Approximate Bayesian inference
** Deterministic approximation methods
** Stochastic approximation methods
* Case study: Bayesian inference for speech recognition

http://phelma.grenoble-inp.fr/en/studies/bayesian-methods-for-data-image-analysis-wpmtbmd7 The aim is to introduce fundamentals on Bayesian inference, and to develop applications in the framework of image and signal processing. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique * Introduction
* Bayesian estimators
* Priori choice
* Approximate Bayesian inference
** Deterministic approximation methods
** Stochastic approximation methods
* Case study: Bayesian inference for speech recognition Basic notion in both estimation and detection theory Olivier Michel, Hacheme Ayasso, Florent Chatelain 2 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Written exam international.cic_tsukuba@grenoble-inp.fr

Observations of a physical system depending on D variables (also called diversities) naturally provide a D-way hypercube of data. A simple data model is based on the decomposition of the observations into a sum of R products between simpler terms, each simple term being related to a unique diversity. In most cases, the factorization is not unique and the search for a solution must be regularized by resorting to constraints. In fact, the goal is to explain observations by R latent variables in a unique way, with a physical meaning. In this context, we present factorization methods, either on matrices (D = 2 diversities) or on tensors (D > 2), exploiting complementary features that are known beforehand, such as: source statistical independence, source nonnegativity, source sparsity, etc… In addition, theoretical principles and algorithms are illustrated by actual unmixing applications in brain and hyperspectral imaging, chemical engineering, communications, internet recommendation systems, etc.

http://phelma.grenoble-inp.fr/en/studies/factorization-of-multidimensional-observation-wpmtfmo7 Introduction of methods for the analysis and representation of multivariate, multidimensional data. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Observations of a physical system depending on D variables (also called diversities) naturally provide a D-way hypercube of data. A simple data model is based on the decomposition of the observations into a sum of R products between simpler terms, each simple term being related to a unique diversity. In most cases, the factorization is not unique and the search for a solution must be regularized by resorting to constraints. In fact, the goal is to explain observations by R latent variables in a unique way, with a physical meaning. In this context, we present factorization methods, either on matrices (D = 2 diversities) or on tensors (D > 2), exploiting complementary features that are known beforehand, such as: source statistical independence, source nonnegativity, source sparsity, etc… In addition, theoretical principles and algorithms are illustrated by actual unmixing applications in brain and hyperspectral imaging, chemical engineering, communications, internet recommendation systems, etc. Elementary linear algebra. Basic probability. Christian Jutten 2 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Continuous assessment international.cic_tsukuba@grenoble-inp.fr