Modulbeschreibung

Course:	Independent R&D Studies
Attached to module:	Vertiefende F&E-Studien deutsch 41.4974
Module number:	41.4972
Language:	english
Study programme:	Dualer Master 2021 - Katalog AS: Anwendungs- und systemorientierte Module Master 2021 - Katalog AS: Anwendungs- und systemorientierte Module Dualer Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module Dualer Master 2013 - Vertiefung IS: IT-Sicherheit Dualer Master 2013 - Vertiefung SE: Software-Engineering Dualer Master 2013 - Vertiefung TG: Technische und Graphische Systeme Dualer Master 2013 - Vertiefung WI: Wirtschaftsinformatik JIM 2013 - Elective Catalogue J Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module Master 2013 - Vertiefung IS: IT-Sicherheit Master 2013 - Vertiefung SE: Software-Engineering Master 2013 - Vertiefung TG: Technische und Graphische Systeme Master 2013 - Vertiefung WI: Wirtschaftsinformatik JIM 2006 - Courses Master 2006 - Katalog AS: Anwendungs- und systemorientierte Module Master 2006 - Vertiefung AE: Application Engineering Master 2006 - Vertiefung TK: Telekommunikation Master 2006 - Vertiefung TS: Technische Systeme Master 2006 - Vertiefung WI: Wirtschaftsinformatik MN Data Science 2022/2016 - Katalog M-I_I: Allgemeine Wahlpflicht Informatik
Type of course:	S = Seminar
Credit Points:	6
Exam:	Written elaboration
Registering for exam	implicitly by booking
PVL (e.g. Practical):	Ungraded preliminary examination work (e.g. documentation of the project work, seminar presentation, or written elaborations) will be announced at the beginning of the course. Regular and successful participation in R&D meetings with the supervising professor
Frequency of offering:	each semester (lastly in WS 2023/2024)
Prerequisite for booking:	Written confirmation from the supervising professor of the FB I
Learning objectives:	The aim of the module is the independent familiarisation with a current field of research as well as the acquisition of in-depth R&D special knowledge, in particular (also) as preparation for the Master's thesis. The contents must be discussed in advance with the supervising lecturer. Master students acquire in-depth and special R&D skills: Ability to carry out independent scientific work, e.g. independently researching, compiling and familiarising oneself with relevant specialist literature on a specific complex of computer science topics, as well as carrying out a source-critical evaluation and evaluation of the specialist literature. Ability to research, develop and implement concepts such as independently evaluating, implementing and testing algorithms, solutions, technologies and procedures; e.g. independently designing, implementing, integrating, testing, evaluating and assuring quality. Ability to write, publish and present scientific papers, e.g. to independently write a scientifically sound written paper on a specific topic in computer science, to write a research proposal, to create system documentation. Ability to identify differences between one's own and external results (plagiarism detection and plagiarism avoidance). Further competences that can be acquired by the Master's student, for example, within the framework of this course: Methodical competences, e.g. independently researching, compiling and familiarising oneself with relevant specialist literature on a certain subject area of computer science, as well as evaluating and evaluating the specialist literature in a source-critical manner. Evaluate evaluation skills such as algorithms, solutions, technologies, and procedures independently, Project management competencies, such as planning R&D projects (incl. milestone plan, project structure plan, budget planning) and conducting feasibility studies, Innovation management skills on how to use and implement creative techniques and how to protect innovation through intellectual property rights. Perform solution competencies such as independent conception, system design, implementation, integration, testing, evaluation and quality assurance. Writing and scientific competence, e.g. independently writing a scientifically sound written elaboration on a certain topic complex of computer science, writing a research proposal, creating system documentation. Communication skills, e.g. didactically designing and presenting a lecture on a certain topic complex of computer science using appropriate media; discussing scientific results (preferably in English) in a scientific community, actively and profoundly contributing to the discussion on certain topics complexes of computer science; giving lectures at conferences. Social and personal skills, such as leadership, teamwork, analysis, judgement, decision-making, knowledge acquisition, presentation, documentation, teaching and advisory skills.
Content:	The topic of the in-depth R&D studies is oriented towards the lecturer's current research and development projects and must be agreed individually with the student. The lecturer offers an in-depth R&D study according to the following three alternatives: Individual Study (with independent R&D study work) Individual Production (collaboration and practical implementation in R&D project with project completion report) Supervised Research (with peer-reviewed R&D paper)
Literature:	Will be announced at the beginning of the course
Lecture style / Teaching aids:	self-study, problem-oriented learning (POL), teamwork, R&D project work, case studies, lecture using current media, scientific publications
Responsibility:	Michael Massoth
Released:	SS 2015

Hochschule Darmstadt - Fb Informatik