Master's Degree Program

Bioinformatics

part-time

Bioinformatics develops algorithms and programs that simulate biochemical processes and analyze scientific and medical data. It combines knowledge about biochemical and molecular biological processes in organisms with applied computer science, machine learning and model development. Data management, security and integration are as much a part of the field as systems biology or molecular design. Today, bioinformatics is an indispensable part of research, but also of industrial development and production. Thus, excellent perspectives await you at the interface of basic research and development.

Department
Applied Life Sciences
Topic
Technologies

Highlights

  • Focus on medical bioinformatics, molecular design and systems biology

  • Focus: Machine Learning and Automation

  • Access to a first-class network of Austrian and international universities and universities of applied sciences, research institutes, and renowned biotech companies

     

    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 2024/25

    01. January 2024 - 15. June 2024

    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)

    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

    In teaching and research, you will benefit from our strong network with industry. In our degree program, experts from the field teach and contribute their application-oriented know-how. Our IT infrastructure (Linux) is available for students in lectures and for master's theses. Numerous R&D projects at the study program offer you the opportunity to deal with cutting-edge applications and to establish valuable contacts for your professional future. Practical relevance is also guaranteed when we host one of our freely accessible lecture evenings with top-class experts as part of our Campus Lectures.

    The program has a strong focus on molecular biology and is specifically tailored to the requirements of the pharmaceutical and biotech industry, but also offers enough basic knowledge and diversity to cover the needs of modern medicine. For a long time now, the surge of data in life science research cannot be managed without bioinformatics, and in the pharmaceutical and biotechnology industry there is an increasing focus on computer-based analysis and modeling. In recent years, however, it has also become clear in the medical field what enrichment the use of bioinformatics brings to the field.

    No matter whether risk factors are to be determined by genetic markers or the microbiome is to be analyzed, rare diseases are to be detected or the course of diseases is to be predicted, bioinformatics methods make it possible. Whether new drugs are to be developed or the production of biotechnological products is to be optimized, the demand for bioinformaticians is increasing rapidly. With our production-related training, you are in demand.

     

    Bioinformatics form the interface between IT and biology, between experiment and knowledge. Therefore, you combine applied computer science and machine learning with biological data analysis in your studies.

    • In Applied Informatics and Machine Learning you will deal with programming, networks and database systems, classical statistics and machine learning methods. With algorithms and software development, you will get the tools to implement projects in a meaningful and efficient way.
    • In the field of biological data analysis, you will learn to handle a wide variety of sequencing data, explore the microbiome, make structural and functional predictions, and work with metabolic models.
    • Skills in project management and business management will complete your education.
    • You will apply the methods of scientific work within the framework of your master's thesis.

    Curriculum

    Selected chapters of Mathematics VO

    Selected chapters of Mathematics VO

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

    1 SWS   2 ECTS

    Lecture contents

    1 Matrices and vectors
    2 Systems of linear equations
    3 Principal component analysis
    4 Recursions
    5 Counting problems
    6 Discrete dynamical optimization
    7 Markov chains and Hidden Markov-modelsRepresentation
    8 Distance based classification

    Assessment methods

    Written examination

    Teaching methods

    Lecture combined with exercises.

    Language

    German

    1 SWS
    2 ECTS
    Proteomics ILV

    Proteomics ILV

    Lector: Dr. Gerhard Dürnberger

    1.5 SWS   3 ECTS

    Lecture contents

    Introduction to Proteomics
    Proteomics analysis via mass spectrometry (MS) focusing on bottom-up shotgun MS
    data analysis: peptide identification & quantification
    databases, public repositories & quality control
    applications & statistical analysis

    Assessment methods

    exercises and written exam

    Teaching methods

    Lecture, exercises on the computer

    Language

    German

    1.5 SWS
    3 ECTS
    Statistics ILV

    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

    Language

    German

    1.5 SWS
    3 ECTS
    Databases VO

    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

    2 SWS
    4 ECTS
    Data Mining and Visualization ILV

    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

    1 SWS
    2 ECTS
    Introduction to Programming ILV

    Introduction to Programming ILV

    Lector: DI Dr. Gerhard Gaube

    2.5 SWS   5 ECTS

    Lecture contents

    Programming techniques with Python in the context of biological problems:

    * Runtime environment, functionality compiler and Google Colab
    * Variables, data types, operators, control structures, functions
    * Sequential data types, mappings and sets
    * Concepts of object-oriented programming and modularization
    * IO functionalities
    * Simple application examples with Biopython

    Assessment methods

    Presentation of homework and written exam

    Teaching methods

    Each unit consists of an introductory theoretical part with corresponding exercises.
    Lecture with exercises
    Homework with presentations

    Language

    German

    2.5 SWS
    5 ECTS
    Introduction to Linux and Shellscripting ILV

    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

    Language

    German

    1 SWS
    2 ECTS
    Basics of Algorithms VO

    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

    1 SWS
    2 ECTS
    Transcriptomics and Genomics ILV

    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

    2 SWS
    4 ECTS
    Transcriptomics and Genomics Practice UE

    Transcriptomics and Genomics Practice UE

    Lector: Lukas Fürnwein, BSc, FH-Prof.in Mag.a Dr.in Alexandra Graf

    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

    1.5 SWS
    3 ECTS

    Machine Learning Methods ILV

    Machine Learning Methods ILV

    Lector: Dr. Christian Steineder

    1 SWS   2 ECTS

    Lecture contents

    Upon successful completion, students will have knowledge in:

    - key terms of the field (AI, ML, ...)
    - important concepts (bias-variance trade off, cross-validation, ...)
    - overview of important algorithms in the field
    - ideas behind the algorithms
    - basic programming in python
    - application of ML algorithms to real-world data

    Assessment methods

    Final report

    Teaching methods

    Interactive Lecture and Discussions

    Language

    English

    1 SWS
    2 ECTS
    Selected Chapters of Bioinformatics SE

    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

    1 SWS
    2 ECTS
    Database Systems ILV

    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 a web application with Python
    - 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

    1.5 SWS
    3 ECTS
    Medical Analysis of Genoms VO

    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

    1 SWS
    2 ECTS
    Specific Statistics Practice UE

    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

    1 SWS
    2 ECTS
    Structure Prediction in Biopolymeres VO

    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

    1 SWS
    2 ECTS
    Data Analysis Laboratory LB

    Data Analysis Laboratory LB

    Lector: Lukas Fürnwein, BSc, FH-Prof.in Mag.a Dr.in Alexandra Graf, 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

    2 SWS
    4 ECTS
    Master Thesis Preparation SE

    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

    0.5 SWS
    1 ECTS
    Softwaredevelopment ILV

    Softwaredevelopment ILV

    Lector: Lukas Fürnwein, BSc, 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

    3 SWS
    6 ECTS
    Applied Programming Practice ILV

    Applied Programming Practice ILV

    Lector: Ing. Christian Binder, BSc, Dominik Jasiczek, BSc

    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

    3 SWS
    6 ECTS

    Automation ILV

    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 "Public Cloud Computing".

    Assessment methods

    Homework
    Written test at the end of the lecture
    Project

    Teaching methods

    Lecture and exercises

    Language

    German-English

    3 SWS
    6 ECTS
    Biotechnological Seminar SE

    Biotechnological Seminar SE

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

    0.5 SWS
    1 ECTS
    Business Plan and Cost Accounting ILV

    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

    2 SWS
    4 ECTS
    Validification of Software and Medical Devices VO

    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

    1 SWS
    2 ECTS
    Innovation and Entrepreneurship ILV

    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

    1 SWS
    2 ECTS
    Clinical Bioinformatics ILV

    Clinical Bioinformatics ILV

    Lector: Mag.rer.nat.Dr.rer.nat. Sophia Derdak, DDr. Alexander Tolios, BA MA MSc

    1.5 SWS   3 ECTS

    Lecture contents

    Being able to use commandline-tools to perform bioinformatic analyses for detecting genetic peculiarities.

    Assessment methods

    Writing a bash-script able to automatically perform bioinformatical analyses.

    Teaching methods

    Lecture / Practical exercises / Case-studies / Presentations.

    Language

    English

    1.5 SWS
    3 ECTS
    Metagenom Analysis ILV

    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

    1 SWS
    2 ECTS
    Molecular Design ILV

    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

    Language

    German-English

    1.5 SWS
    3 ECTS
    Network and Internet Technologies ILV

    Network and Internet Technologies ILV

    Lector: Tobias Buchberger, BSc MSc

    1 SWS   2 ECTS

    Lecture contents

    Basics and Overview of Networking/Internet: e.g. ISO/OSI Model, IP, ARP, ICMP, TCP/UDP, HTTP, DHCP
    Basic Understanding of the Internet of Things
    IT-Security Basics: e.g. Cryptography, Secure Communications, Authentication, Attacks
    Genome Browser Basics
    Excercises in a networking lab regarding Networking, ARP (Spoofing), Machine-in-the-Middle (MitM) Attacks and HTTPS

    Assessment methods

    Written exam & practical exercises

    Teaching methods

    Lecture, exercises in a networking lab, inverted classroom

    Language

    German

    1 SWS
    2 ECTS
    Patenting ILV

    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

    1 SWS
    2 ECTS
    Computational Systems Biology ILV

    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

    Exercises and written exam

    Teaching methods

    Lecture and in class exercises

    Language

    German-English

    1.5 SWS
    3 ECTS

    Master Thesis Supervision AP

    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

    0 SWS
    1 ECTS
    Master Thesis MT

    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

    0 SWS
    28 ECTS
    Master Thesis Seminar SE

    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

    1 SWS
    1 ECTS

    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 occupational fields and career opportunities are open to you. Find out here where your path can take 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
        >
        EICC
        >
        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


         

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