Details

FH-Prof. Mag. Dr. Alexandra Graf

Research Staff


T: +43 1 606 68 77-3602
F: +43 1 606 68 77-3609

Room: MUT.02
Muthgasse 11/2
1190 Wien

Personal Webspace


Lectures 2021/22

Applied Life Sciences

> Transcriptomics and Genomics ILV
Bioinformatics more

Transcriptomics and Genomics ILV

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

2SWS
4ECTS

Lecture contents

1) Acquire knowledge on selected bioinformatics chapters (Next Generation Sequencing, ChIP-Seq, RNA-Seq) ans
2) Application of relevant bioinformatics tools for the analysis of associated data
3) using script languages under Linux, such as Bash, awk and perl.

Assessment methods

40 % Hands on exercise: Hand in a short program which solved a given task
60% Lecture: Written exam

Teaching methods

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

Language

German

> Selected Chapters of Bioinformatics SE
Bioinformatics more

Selected Chapters of Bioinformatics SE

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

1SWS
2ECTS

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

> Data Analysis Laboratory LB
Bioinformatics more

Data Analysis Laboratory LB

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

2SWS
4ECTS

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
Bioinformatics more

Master Thesis Preparation SE

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

0.5SWS
1ECTS

Lecture contents

Form and features of the written thesis. Presentation techniques.

Assessment methods

-

Teaching methods

Talk - discussion

Language

German-English

> Bioinformatics ILV
Molecular Biotechnology more

Bioinformatics ILV

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

3SWS
3ECTS

Lecture contents

In this lecture we talk about what Bioinformatics is and why we need it today. The studients will be introduced to basic programming and can play around with simple practical examples.
We will go through specific topics of Bioinformatics and discuss the available applications. The topics include:
- Why did Bioinformatics develop and what is it.
- Human Genome Project and its consequences
- Biological sequences, sequence comparison and database search.
- Pattern search
- Structure of biological sequences and structure prediction
- High throughput technologies and data analysis

Programming:
- practical examples in R and a short introduction in Python

Assessment methods

Exercises to be handed in using the Moodle Platform, and short mulitple choice tests also on the Moodle platform.

Teaching methods

lecture, powerpoint presentation, discussion and hands on exercises

Language

German-English

> Biotechnological Seminar SE
Bioinformatics more

Biotechnological Seminar SE

Lector: Ing. Michael Geissler, MSc., FH-Prof.in Mag.a Dr.in Alexandra Graf, FH-Prof. DI Dr. Michael Maurer, Katharina Seiberl, BSc MSc

0.5SWS
1ECTS

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

> Metagenom Analysis ILV
Bioinformatics more

Metagenom Analysis ILV

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

1SWS
2ECTS

Lecture contents

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

Assessment methods

Presentation of a practical task.

Teaching methods

Vortrag, Diskussion und praktisches Beispiel.

Language

German-English

> Master Thesis Supervision AP
Bioinformatics more

Master Thesis Supervision AP

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

0SWS
1ECTS

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 Seminar SE
Bioinformatics more

Master Thesis Seminar SE

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

1SWS
1ECTS

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

> Transcriptomics and Genomics Practice UE
Bioinformatics more

Transcriptomics and Genomics Practice UE

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

1.5SWS
3ECTS

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

Teaching methods

Moodle, Linux server, example scripts

Language

German

Publications

The publications of Alexandra Graf written at FH Campus Wien can be found in our publication database, others in the personal web space.