Bioinformatics develops algorithms and programs to simulate biochemical processes and analyze molecular data. It combines knowledge of biochemical and molecular biological processes in organisms in applied computer science and data management as well as analysis. As part of the system biology, bioinformatics supports both research as well as industrial development and production. Your education will provide you with excellent prospects at the interface between basic research and development.

Department
Applied Life Sciences
Topic
Technologies

Highlights

  • Bioprocess Technology at the BOKU campus

  • Applied research to optimize biotechnological methods for economical production in industry

  • Main areas of application: medical and industrial biotechnology as well as brewing and fermentation technology

     

    Facts

    Final degree

    Master of Science in Engineering (MSc)

    Duration of course
    4 Semesters
    Organisational form
    part-time

    tuition fee per semester

    € 363,361

    + ÖH premium + contribution2

    ECTS
    120 ECTS
    Language of instruction
    German

    Application winter semester 2023/24

    1st January to 31th May 2023

     

    Study places

    22

    1 Tuition fees for students from third countries € 727,- per semester

    2 for additional study expenses (currently up to € 83,- depending on degree program and year)

    New study location from winter semester 2022/23: The Department of Applied Life Sciences will move to the new building at Favoritenstraße 222, 1100 Vienna in the summer of 2022.

    Before the studies

    You have a background in natural sciences, are enthusiastic about IT and already possess basic knowledge.You see your future in combining both and using your IT skills to process and analyze the flood of data in life sciences and present it optimally and understandably.You are an analytical and process-oriented thinker.  You enjoy solution-oriented work at the interface between different disciplines.You want to achieve professional success working on projects in a team and are open to management responsibilities.You can also imagine providing independent services.Average English skills are expected. Language of instruction is German

    Why you should study with us

    Study place = lab place

    Sharing is good, however, not your lab space, please. You are guaranteed your own.

    Highly sought-after knowledge

    What you learn here is crucial to solving global problems.

    International network

    Going abroad for an internship or a job: this is the next logical step when studying with us.

    Do you still have questions about the study?

    Make an appointment with Elisabeth Holzmann (Secretary's office) elisabeth.holzmann@fh-campuswien.ac.at for a a personal consultation via Zoom.

    • Bachelor degree in natural sciences-technology or similar qualification from an institute of higher education with a total of 180 ECTS credits
      • With at least > 13 ECTS credits in computer science, such as Introduction to Bioinformatics, Basics databases and operating systems, programming. > 13 ECTS credits in technical subjects such as process engineering, principals of bioprocess technology, measurement and control technology. More information is available upon request.
    • Equivalent certification from abroad
      • Equivalence is determined by international agreements, validation or in individual cases a decision by the head of the academic section.

    Regulation for the admission of third country citizens (PDF 223 KB)

    Information for applicants with non-Austrian (school) certificates (PDF 145 KB)

    To apply you will require the following documents:

    • Proof of identity (copy of passport or copy of identity card)
    • In case German is not your first language: Proof of German language skills at level C1
    • Bachelor/diploma certificate or equivalent certificate from abroad
      • Certificates from abroad as well as a description of the courses and exemplary documents must be submitted as certified translations. Letters of recommendation from teachers from the institute abroad will help the head of the academic section to assess whether the admission requirements have been fulfilled.
    • List of courses completed or transcript
    • Letter of motivation
    • CV in table form

    Please note:
    It is not possible to save incomplete online applications. You must complete your application in one session. Your application will be valid as soon as you upload all of the required documents and certificates. In the event that some documents (e.g. references) are not available at the time you apply, you may submit these later via email, mail or in person by no later than the start of the degree program.

    The admission procedure consists of a written test and an interview with the admission committee.

    • Aim
      The aim is to ensure places are offered to those persons who complete the multi-level admission procedure with the best results. The tests are designed to assess the skills needed for an applicant's chosen profession.
    • Procedure
      The written admission test assesses the applicant's knowledge of programming, molecular biology and statistics. Applicants then undergo an admission interview on the same day to provide a first impression of their personal aptitude. The qualities interviewers are looking for include professional motivation, an understanding of the profession, performance, time management.
      Points are assigned to each section of the test.
    • Criteria
      The criteria for acceptance are based solely on performance. The geographical origin of the applicant has no influence on the admission decision. The admission requirements must be met in all cases. Applicants are evaluated according to the following weighting system:
      • Written admission test (60%)
      • Admission interview (40%)

    The study places are awarded at the latest in mid-July based on this ranking. The process as a whole and all test and assessment results from the admission procedure are documented in a transparent and verifiable manner.

    Written test and interview
    May and June

    Planned start of the first semester
    Mid of August


    During the studies

    Your education and research benefit from our close partnerships with the University of Natural Resources and Life Sciences, Vienna (BOKU) and the Vienna Institute of Biotechnology (VIBT), who share the campus with us, as well as our strong network in the industry.In addition to experts from the industry, researchers from the BOKU also teach in our degree program and contribute their application-oriented know-how.Selected courses are offered in English, the technical language of life sciences.We are currently building an IT infrastructure that should be available as an internet service for public researchers as well as our students.Numerous R&D projects in the degree program offer you the opportunity to work with cutting-edge applications and to make valuable contacts for your future career.Practical relevance is also guaranteed at our Campus Lecture evenings, which are open to all and feature contributions from prominent experts.

    The degree program focuses on molecular biology and is tailored specifically to the needs of pharmaceutical production. Bioinformatics is already an indispensable research tool for biotechnological methods in order to cope with the flood of data in life sciences. The deciphering of the human genome in genomic research is only one possible application. The main goal is to develop new medications based on the analysis of human genes.
    Huge databases of active ingredients must be searched for suitable candidates.Bioinformatics methods also make it possible to optimize and individualize therapies through the comparison of entire genomes.These tasks are even many times more complex than the makeup of the DNA sequence and can only be solved with the help of bioinformatics.The need for bioinformaticians in the biotech industry is growing rapidly.With our production-oriented education, you will be highly sought after.

     

    As an interdisciplinary science, bioinformatics provides solutions for biological issues by applying informatics methods.The program combines applied informatics, data management and data evaluation with molecular biology, biochemistry and bioinformatics.

    • In applied informatics you will learn about programming, operating systems, networks and database systems.In order to effectively manage and evaluate data, you will acquire knowledge in mathematics, statistics, algorithms and software development.
    • In the field of molecular biology and biochemistry you will learn to conduct sequence comparisons and make structure and function predictions, as well as how high-throughput technologies function.Applied bioinformatics encompasses the application of bioinformatics and chemistry informatics.
    • Management and corporate management skills will round out your education.
    • You will apply the methods of scientific work within the framework of your master’s dissertation.

    Curriculum

    Selected chapters of Mathematics VO
    1 SWS
    2 ECTS

    Selected chapters of Mathematics VO

    Lector: Univ.-Prof. Dipl.-Ing. Dr. Werner Timischl

    1 SWS   2 ECTS

    Lecture contents

    1 Discrete mathematics: permutations and combinations, time complexity of algorithms, recursions.
    2 Matrices: First and Second Kind of Spatial Representation; calculations with vectors and matrices; systems of linear equations; eigenvalues and eigenvectors.
    3 Selected methods of multivariate statistics: hierarchical classification; principal component analysis.
    4 Markov-models: Markov-chains; Hidden-Markov-models.

    Assessment methods

    Written examination

    Teaching methods

    Lecture combined with exercies.

    Proteomics ILV
    1.5 SWS
    3 ECTS

    Proteomics ILV

    Lector: Dr. Gerhard Dürnberger

    1.5 SWS   3 ECTS

    Lecture contents

    Proteomics: opportunities and aims
    Methods, focussing on mass spectrometry
    Statistical methods for quality control, motivation for and building of public repositories
    Databases/ontologies
    Bioinformatic applications making use of large data sets

    Assessment methods

    written exam

    Teaching methods

    Lecture, working with computer

    Statistics ILV
    1.5 SWS
    3 ECTS

    Statistics ILV

    Lector: Eva Valerie Lehner, BSc, Dipl.-Ing. Dr. Alexandra Posekany

    1.5 SWS   3 ECTS

    Lecture contents

    introduction to statistics and probability using R; exploratory data analysis, statistical estimation, graphics, Bayes' theorem, important distributions, hypothesis testing, ANOVA and linear regression

    Assessment methods

    exercises, written exam, in calls participation

    Teaching methods

    lecture, presentation, work with PC, group work, exercises

    Databases VO
    2 SWS
    4 ECTS

    Databases VO

    Lector: DI. Dr.techn. Dominik Ertl, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka

    2 SWS   4 ECTS

    Lecture contents

    • Principles of architecture and database systems
    • Transaction concept and SQL-core
    • Entity Relationship (ER) Model
    • Relational Model
    • Relational database design
    • Database implementation with SQL-DDL
    • Practical design assignment in small groups

    Assessment methods

    Continuous assessments throughout the content presentation (grading of presentations)
    Written exam
    Distance learning: Practical assignment

    Teaching methods

    Lecture
    Student presentations followed by discussions
    Practical assignments in small groups
    Open distance learning

    Language

    German

    Data Mining and Visualization ILV
    1 SWS
    2 ECTS

    Data Mining and Visualization ILV

    Lector: Dipl.-Ing. Barbara Lederer

    1 SWS   2 ECTS

    Lecture contents

    Basic concepts of Data Mining
    Introduction into Visualization
    Pros and Cons in representations
    Practical Exercises

    Assessment methods

    The examination consists of attendance, active participation as well as the grading of the exercise work and presentations.

    Teaching methods

    Lecture plus exercise

    Language

    German-English

    Introduction to Programming ILV
    2.5 SWS
    5 ECTS

    Introduction to Programming ILV

    Lector: DI Dr. Gerhard Gaube

    2.5 SWS   5 ECTS

    Lecture contents

    Extending the knowledge in the programming language Python in the context of real
    biological problems.

    * Functions
    * Container Classes (Listen, Dictionaries)
    * Object-orientated programming (Classes, Inheritance, ...)
    * File handling
    * Generators

    Assessment methods

    Written exam at the end of the course and evaluation of the exercises.

    Teaching methods

    Lectures
    Homework
    Exercises

    Language

    German

    Introduction to Linux and Shellscripting ILV
    1 SWS
    2 ECTS

    Introduction to Linux and Shellscripting ILV

    Lector: Ing. DI (FH) Nadine Elpida Tatto

    1 SWS   2 ECTS

    Lecture contents

    The operating system Linux is essential in bioinformatics. Basic knowledge in the use of Linux (Ubuntu) is assumed.

    The lecture focuses on shell scripting and the usage of sed and awk. The named tools will be used for the processing of typical file formats in bioinformatics.

    Assessment methods

    Written exam, complete and punctual delivery of exercises in a combined log file (Prerequisite for exam admission).

    Teaching methods

    Lecture and exercises during lecture time and at home

    Basics of Algorithms VO
    1 SWS
    2 ECTS

    Basics of Algorithms VO

    Lector: Dr. Christian Steineder

    1 SWS   2 ECTS

    Lecture contents

    Introduction to algorithms, graph theory, basic common and bioinformatics algorithms

    Assessment methods

    Final project

    Teaching methods

    Discussion of the content illustrated with examples. Course material will be provided.

    Language

    German-English

    Transcriptomics and Genomics ILV
    2 SWS
    4 ECTS

    Transcriptomics and Genomics ILV

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

    2 SWS   4 ECTS

    Lecture contents

    1) Acquire knowledge on selected bioinformatics chapters (Short/long-read technologies, selected applications e.g. ChIP-Seq, RNA-Seq) and
    2) the theoretical basics and application of relevant bioinformatics tools for the analysis of sequencing data

    Assessment methods

    40 % Hands on exercise: Hand in a short program which solved a given task
    20 % Moodle exam
    40 % Journal Club: Presentation of a scientific paper in Groups

    Teaching methods

    - Introductions and explanations (lecture)
    - Exercises using the computer

    Language

    German

    Transcriptomics and Genomics Practice UE
    1.5 SWS
    3 ECTS

    Transcriptomics and Genomics Practice UE

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Monika Waldherr, MSc

    1.5 SWS   3 ECTS

    Lecture contents

    The exercise should give students the option of working with software and programs introduced in the lecture Transcriptomics and Genomics.

    Assessment methods

    Practical examples, DataCamp courses

    Teaching methods

    DataCamp, Moodle, Linux server, example scripts

    Language

    German

    Machine Learning Methods ILV
    1 SWS
    2 ECTS

    Machine Learning Methods ILV

    Lector: Dipl.-Ing. Dr.techn. David Steyrl

    1 SWS   2 ECTS

    Lecture contents

    Upon successful completion, students will have knowledge in:
    - historical outline of machine-learning development
    - key terms of the field (AI, ML, ...)
    - important concepts (bias-variance trade off, cross-validation, ...)
    - overview of important algorithms in the field
    - basic programming in python
    - application of ML algorithms to real-world data
    Every lesson of this seminar consists of two parts. The first half is spent on theory, whereas the second half is used to expand the theoretical knowledge by practical exercises in Python.

    Assessment methods

    Written exam (multiple choice online in moodle, 30min). No aids are allowed to be used.

    Teaching methods

    Lecture + Exercise:
    - Lecture: Hybrid: at the auditorium, online, videos on moodle
    - Exercise: Jupyter notebooks, solutions, online discussions of the exercises

    Language

    English

    Selected Chapters of Bioinformatics SE
    1 SWS
    2 ECTS

    Selected Chapters of Bioinformatics SE

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, DI (FH) Anton Grünberg

    1 SWS   2 ECTS

    Lecture contents

    The seminar is meant to give students an overview over the various fields of bioinformatics. Experts from different fields will be invited to talk about their experiences and projects.

    Assessment methods

    Written exam at the end of the course.

    Teaching methods

    Seminar
    Talks and Discussions

    Language

    German-English

    Database Systems ILV
    1.5 SWS
    3 ECTS

    Database Systems ILV

    Lector: DI. Dr.techn. Dominik Ertl, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka

    1.5 SWS   3 ECTS

    Lecture contents

    - Database query with SQL
    - Persistency problems, database programming, cursor concept
    - Elaborating the requirements and needs for computer scientists that use database systems and focuse on Bio-informatics
    - Programming with Perl: Perl-DBI, CGI
    - Practical Programming tasks in small groups

    Assessment methods

    Continuous assessments throughout the course (grading of presentations and participation)
    Distance learning: Practical assignment

    Teaching methods

    Student presentations followed by discussions
    Practical assignments in small groups

    Language

    German

    Medical Analysis of Genoms VO
    1 SWS
    2 ECTS

    Medical Analysis of Genoms VO

    Lector: Smriti Shridhar, PhD

    1 SWS   2 ECTS

    Lecture contents

    Understanding genetic diseases, biomarkers
    Genome wide association studies (GWAS)
    Interpreting DNA variants
    Human Genome Project

    Assessment methods

    Multiple-Choice Questions in the middle of the course
    scientific papers related to the topic will be presented by students (in groups) at the end of the course

    Teaching methods

    Lecture / Practical exercises / Case-studies / Presentations

    Language

    English

    Specific Statistics Practice UE
    1 SWS
    2 ECTS

    Specific Statistics Practice UE

    Lector: Eva Valerie Lehner, BSc, Dipl.-Ing. Dr. Alexandra Posekany

    1 SWS   2 ECTS

    Lecture contents

    General topics of statistics:
    statistical modeling, selection of models
    generalized models (logistic regression)
    bayesian estimate and modeling
    creation of interactive apllicatins with R Shiny

    Assessment methods

    continuous assessments throughout the course and final examination

    Teaching methods

    Applied practice with "R"

    Language

    German

    Structure Prediction in Biopolymeres VO
    1 SWS
    2 ECTS

    Structure Prediction in Biopolymeres VO

    Lector: Dr. Sven Brüschweiler, Dr. Tanja Gesell

    1 SWS   2 ECTS

    Lecture contents

    This lecture gives an introduction to basic principles of protein and RNA structure using top-down and bottom-up approaches for structure predictions.
    Topics include:
    - Introduction of experimental structure determination methods of biopolymers
    - Alignment methods and programs for structure prediction methods
    - In silicon prediction of RNA structure using dynamic programming
    - Genome wides screens of RNA structure
    - In silicon prediction of protein secondary and tertiary structure
    - Visualisations of RNA and Protein structures

    Assessment methods

    Practical sessions and a project at the end of the course (50% each).

    Teaching methods

    theoretical and practical exercises

    Language

    German-English

    Data Analysis Laboratory LB
    2 SWS
    4 ECTS

    Data Analysis Laboratory LB

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf, Ing. DI (FH) Dr. Harald Kühnel, MSc, Laurentius Orsolic, BSc, Monika Waldherr, MSc

    2 SWS   4 ECTS

    Lecture contents

    -) Introduction to the Oxford Nanopore sequencing technology
    -) Sequencing of DNA samples using MinION in the wet lab
    -) Development of suitable quality control
    -) Development of suitable analysis pipeline
    -) Interpretation and discussion of results

    Assessment methods

    Immanent examination, protocol of the results of the practical exercises, final exam

    Teaching methods

    -) Presentation
    -) practical exercises in the wet-lab and in-silico

    Language

    German

    Master Thesis Preparation SE
    0.5 SWS
    1 ECTS

    Master Thesis Preparation SE

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

    0.5 SWS   1 ECTS

    Lecture contents

    Form and features of the written thesis. Presentation techniques.

    Assessment methods

    -

    Teaching methods

    Talk - discussion

    Language

    German-English

    Softwaredevelopment ILV
    3 SWS
    6 ECTS

    Softwaredevelopment ILV

    Lector: Sebastian Johannes Eder, DI Christian Heiderer

    3 SWS   6 ECTS

    Lecture contents

    This course targets at the basics of programming in C++.

    After repeating the basic language constructs of C we will shortly focus on working with arrays, pointers and references. Switching to C++, we will learn through hands-on programming effective application of following important fields:
    - Usage of the C++ Standard Library: Strings and container classes/templates
    - Data modelling with C++ classes

    Additional non-C++ related targets are:
    - Understanding of the Software Development Process
    - Efficient work in small software projects
    - Writing easy-to-read and easy-to-maintain code

    Assessment methods

    Self-written programs at the middle and the end of the course

    Teaching methods

    Presentations and discussions, hands-on practice on the PC, discussions.

    Language

    German-English

    Applied Programming Practice ILV
    3 SWS
    6 ECTS

    Applied Programming Practice ILV

    Lector: Ing. Christian Binder, BSc, Sebastian Johannes Eder

    3 SWS   6 ECTS

    Lecture contents

    - Introduction to programming using C/C++ with Linux
    - Usage of Compilers and Debuggers
    - Implementation of Examples
    - Excursus into object-oriented Progamming and high Performance computing
    - From the basic idea to the implementation

    Assessment methods

    recurring tests, exercises, presentation, collaboration

    Teaching methods

    - lecture
    - presentation and collaboration
    - practice during the lecture
    - exercises

    Language

    German

    Automation ILV
    3 SWS
    6 ECTS

    Automation ILV

    Lector: Daniel Mitterecker, BSc, MSc, Smriti Shridhar, PhD

    3 SWS   6 ECTS

    Lecture contents

    Part 1
    Introduction to process automation.
    Understanding why and how automation of bioinformatics processes is done.
    Exploring state-of-the-art workflow management systems used in the field of bioinformatics.

    Part 2
    Introduction to version control with Git.
    Utilization of container virtualization in bioinformatics.
    Introduction to Amazon Web Services (AWS).

    Assessment methods

    Homework
    Written test at the end of the lecture.
    Project.

    Teaching methods

    Lecture, example exercises.
    Home exercises to practice learned concepts.

    Language

    German-English

    Biotechnological Seminar SE
    0.5 SWS
    1 ECTS

    Biotechnological Seminar SE

    Lector: FH-Prof. DI Dr. Michael Maurer, Laurentius Orsolic, BSc

    0.5 SWS   1 ECTS

    Lecture contents

    As an example from biotechnology, students will work in the brew lab to create a beer, following a recipe. Students will be introduced into the topic of brewing and will have the chance to see an automated solution and investigate the data produced by the equipment. Additionally to the work in the lab, students are required to design a label for their beer and create a website with the recipes they worked on.

    The students will work in groups of 3-4 persons.

    Assessment methods

    Students will be graded on their performance in the lab and the design of the label and web page.

    Teaching methods

    Presentation, praktical lab exercise

    Language

    German

    Business Plan and Cost Accounting ILV
    2 SWS
    4 ECTS

    Business Plan and Cost Accounting ILV

    Lector: Mag. Dipl.-Ing. Dr. Martin Pfeffer, Mag. Karin Pfeffer

    2 SWS   4 ECTS

    Lecture contents

    "hands-on" priciples in business administration
    Development of a business plan

    Assessment methods

    preparation & presentation of a business plan

    Teaching methods

    lecture, Workshop

    Language

    German

    Validification of Software and Medical Devices VO
    1 SWS
    2 ECTS

    Validification of Software and Medical Devices VO

    Lector: Stefan Smyczko, MSc

    1 SWS   2 ECTS

    Lecture contents

    FOCUS OF THE LECTURE ON: "SOFTWARE IN MEDICAL FIELD - SOFTWARE AS A MEDICAL DEVICE"
    To gain the essential know how on the topic "Software as a Medical Device". Insight into the legal basis for these kinds of products incl. definition and distinguishing it from other products; when is software a medical device? Which phases of development do exist, what has to be concerned when developing such product? Quality control and quality assurance as well as actual changes in the legal environment (MDR - Medical Device Regulation). Special focus is set on Validation of software as a medical device.

    Assessment methods

    Presentation of the student and their evaluation as assessment

    Teaching methods

    Introduction into the topic as lecture, followed by selected topics to be presented by the student on the last day of the lecture.

    Language

    German-English

    Innovation and Entrepreneurship ILV
    1 SWS
    2 ECTS

    Innovation and Entrepreneurship ILV

    Lector: Dipl.-Ing. Dr. Gottfried Himmler

    1 SWS   2 ECTS

    Lecture contents

    The Entrepreneur

    How do new things develop?
    Recipies for success?

    What is an enterprise?
    Systems theory perspective

    What is management?
    Entrepreneur versus Manager:
    Tasks
    Character

    The idea
    The Business Model
    The Business Plan

    The ideal Leader.
    Basics of Management.
    Tasks of Managers.
    Management Tools.

    Assessment methods

    Oral

    Teaching methods

    Lecture & Workshop

    Language

    German

    Clinical Bioinformatics ILV
    1.5 SWS
    3 ECTS

    Clinical Bioinformatics ILV

    Lector: Smriti Shridhar, PhD

    1.5 SWS   3 ECTS

    Lecture contents

    Understanding genetic diseases, biomarkers
    Genome wide association studies (GWAS)
    Interpreting DNA variants
    Human Genome Project
    Designing and Analyzing Clinical Trials in R

    Assessment methods

    Multiple-Choice Questions in the middle of the course and scientific papers related to the topic will be presented by students (in groups) at the end of the course

    Teaching methods

    Lecture / Practical exercises / Case-studies / Presentations

    Language

    English

    Metagenom Analysis ILV
    1 SWS
    2 ECTS

    Metagenom Analysis ILV

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

    1 SWS   2 ECTS

    Lecture contents

    Introduction to the production and analysis of metagenome/microbiome data.

    Assessment methods

    Practical exercise, presentation

    Teaching methods

    Vortrag, Diskussion und praktische Beispiele.

    Language

    German-English

    Molecular Design ILV
    1.5 SWS
    3 ECTS

    Molecular Design ILV

    Lector: Dr. Sven Brüschweiler, Dr. Leonhard Geist, Dr. Tanja Gesell

    1.5 SWS   3 ECTS

    Lecture contents

    based on the class from last semester RNA and Protein Structure Prediction, this lecture addresses Molecular Design; topics include:
    - from small molecule descriptions to Protein - Ligand and RNA - Ligand complexes as well as Protein RNA interactions
    - high-throughput screening (HTS)
    - ncRNA in human diseases
    - pharmacophore models
    - disease networks

    Assessment methods

    Practical sessions and a project at the end of the course (50% each)

    Teaching methods

    theoretical and practical exercises

    Network and Internet Technologies ILV
    1 SWS
    2 ECTS

    Network and Internet Technologies ILV

    Lector: Silvia Schmidt, BSc MSc

    1 SWS   2 ECTS

    Lecture contents

    Internet survey
    Internet-of-Things / Biothings survey
    LoRaWAN Project
    IT-Security basics
    Genome browser basics

    Assessment methods

    Written exam & practical exercises

    Teaching methods

    lecture, exercises, inverted classroom

    Language

    German

    Patenting ILV
    1 SWS
    2 ECTS

    Patenting ILV

    Lector: Dipl.-Ing. Anatol Dietl, Mag. iur. Dipl.-Ing. Dr. Dr. Michael Stadler

    1 SWS   2 ECTS

    Lecture contents

    Protective rights; Reading patent documents; scope of protection; novelty, state of the art; inventive step; further requirements of patentability; patent application procedure; international patent laws and treatys; patent licensing;

    Assessment methods

    written tests at the beginning of the lecture units; homework problem

    Teaching methods

    Lecture

    Language

    German

    Computational Systems Biology ILV
    1.5 SWS
    3 ECTS

    Computational Systems Biology ILV

    Lector: Dr. nat. techn. David Ruckerbauer

    1.5 SWS   3 ECTS

    Lecture contents

    Computer models of biochemical networks are able to connect the genotype with the phenotype. In this primer we will give an introduction to biochemical network analysis. We will introduce basic concepts of network reconstruction and constraint based analysis of biological networks. In particular we will cover the process of building (genome scale) metabolic models and study the steady state behavior of these networks with flux balance analysis (FBA) and related methods. Finally we will show that these methods are successfully used in metabolic engineering, where FBA is a standard approach for the rationally designing microbial cell factories.

    (*) Basic mathematical concepts in systems biology
    (*) Reconstruction of biochemical networks
    (*) Stoichiometric networks and their analysis
    (*) Applications in biotechnology

    Assessment methods

    Home work and presentation

    Teaching methods

    Lecture and in class exercises

    Language

    German-English

    Master Thesis Supervision AP
    0 SWS
    1 ECTS

    Master Thesis Supervision AP

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

    0 SWS   1 ECTS

    Lecture contents

    Methodology for the implementation of the diploma thesis:
    clarification of the procedure through individual presentations of the thesis

    Assessment methods

    Assessment of the presentation

    Teaching methods

    Presentations

    Language

    German

    Master Thesis MT
    0 SWS
    28 ECTS

    Master Thesis MT

    Lector: FH-Prof. DI Dr. Michael Maurer

    0 SWS   28 ECTS

    Lecture contents

    The content of this course is the writing of a diploma thesis.

    Assessment methods

    The „written diploma thesis“ constitutes the result of the quality of the works conducted. For this reason, the assessment is based on the quality of the research as well as on the written presentation.

    Teaching methods

    The diploma thesis has to be written in consultation with the FH supervisor and beforehand has to be approved by the head of the academic section.

    Language

    German

    Master Thesis Seminar SE
    1 SWS
    1 ECTS

    Master Thesis Seminar SE

    Lector: FH-Prof.in Mag.a Dr.in Alexandra Graf

    1 SWS   1 ECTS

    Lecture contents

    In the course each student presents his/her Master thesis. Progression of the thesis and potential setbacks and problems will be discussed in the group.

    Assessment methods

    Presentation

    Teaching methods

    Presentation, discussion

    Language

    German

    Semester dates
    Winter semester: Mid of August to end of January
    Summer semester: Beginning of February to mid of July

    Number of teaching weeks
    20 per semester

     

    Times
    6.00 p.m.-9.15 p.m. (ca. four times Mon to Fri), Sat ca. every two weeks (all day)


    After graduation

    As a graduate of this program, a wide range of professional fields and career opportunities are open to you. Find out where your path can lead you.

    As an expert in bioinformatics, you will manage and analyze data with high-throughput analysis methods and model structures and functions of biomolecules. You will find a career in the following occupational fields:

    • Biotechnology research companies

    • Biopharmaceutical industry

    • Industrial Biotechnology

      • Medical and molecular biology research

      • Bioinformatics service providers


        Studying made easy

        Bücher mit Geld
        Funding & Scholarships

        More information here

        >
        Hände zeigen auf Weltkarte
        Time abroad

        Expertise, language skills, broadening horizons

        >
        Fish jumps out of fishbowl into another fishbowl
        Open Lectures

        Find out more, in German

        >
        Books and laptop
        Center for academic writing
        >
        Intensive German course
        >
        Start-up Service
        >
        Doctoral Service
        >
        Validation
        >
        Accessibility
        >
        queer @ FH Campus Wien
        >

        Networking with graduates and organizations

        We work closely with numerous industrial companies, universities such as the University of Natural Resources and Life Sciences, Vienna (BOKU), the Austrian Centre of Industrial Biotechnology (ACIB) and other research institutes. This guarantees you strong contacts for internships, employment or participation in research and development activities. You can find information about our cooperation activities and much more at Campusnetzwerk.It’s well worth visiting the site as it may direct you to a new job or interesting event held by our cooperation partners!


        Contact

        Head of Degree Program

        Secretary's office

        Elisabeth Beck
        Elisabeth Holzmann, Bakk. techn.
        Johanna Bauer
        Barbara Philipp

        Favoritenstraße 222, E.3.22
        1100 Vienna
        +43 1 606 68 77-3600
        +43 1 606 68 77-3609
        bioengineering@fh-campuswien.ac.at

        Main Campus Favoriten (Google Maps)

        Office hours during semester
        Mo to Thur, 4.30 p.m. to 6.15 p.m.

        Availability by phone
        Mo to Thur, 10.00 a.m. to 6.15 p.m
        Fr, 10.00 a.m. to 2.00 p.m


        Downloads

        Information Folder Bioinformatics, Master
        pdf, 88 KB
        Folder Applied Life Sciences
        pdf, 906 KB
         

        You want to know more? We will help you.

         

        Have you found all the information you are looking for?

        • Yes
        • No