Gene Technology and Basics in Bioinformatics (5 ECTS)

Learning outcomes

The student
• masters the basic techniques of genetic engineering at theoretical and practical level
• understands the importance of DNA analysis in different applications, such as cloning, personal identification or GMO analysis
• is familiar with the legislation on genetic engineering and has considered ethical issues in this field
• is familiar with the basics of bioinformatics.

Content

• Basic methods of cloning
• DNA amplification and sequencing techniques, basics of DNA bioinformatics, RNAi mechanisms and genome editing
• Ethics in genetic engineering, genetic engineering legislation and risk analysis
• Isolation, purification and characterisation of nucleic acids in practical laboratory work

Prerequisites

Microbiology and Professional English

Teaching methods

Interactive lecture
Laboratory works as a part of BIP project
Small group tutorials
Bioinformatics tutorials

Location and time

Leiritie 1, 2nd period

Learning materials and recommended literature

Suominen Ilari, Pärssinen Raimo, Haajanen Kari & Pelkonen Jani.
Geenitekniikka and/or
Pärssinen, R., Suominen, I. & Haajanen, K. Biogeeni. Ammatillista biokemiaa ja geenitekniikkaa.
Räikkä, J. ja Rossi, K. Geenit ja etiikka.

Michael R. Green and Joseph Sambrook. Molecular Cloning: A Laboratory Manual
David P. Clark and Nanette J. Pazdernik. Biotechnology
William J. Thieman and Michael A. Palladino. Introduction to Biotechnology

Lecture materials

Alternative completion methods of implementation

Recognition of prior learning

Internship and working life connections

FIMM, NGS
VTT, Applications of genetic engineering

Exam dates and retake possibilities

To be announced at the beginning of the course

Student workload

Lectures according to schedule and laboratory works as a part of BIP project.
Assignments

Assessment methods and criteria

Exam, assignments and lab report.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has a basic understanding of genetic engineering principles
• needs guidance with techniques and data analysis
• has limited proficiency with bioinformatics tools.

Assessment criteria, good (3)

The student
• has a good understanding of genetic engineering and techniques such as PCR and gel electrophoresis
• is able to analyse data and apply critical thinking
• has a solid understanding of bioinformatics and use of tools.

Assessment criteria, excellent (5)

The student
• has an excellent understanding of genetic engineering and complex techniques
• masters analytical skills and problem-solving
• demonstrates advanced bioinformatics knowledge and use of tools for data analysis.

Assessment criteria, approved/failed

The student
• has a basic understanding of genetic engineering principles
• needs guidance with techniques and data analysis
• has limited proficiency with bioinformatics tools.