Introduction of Bioinformatics (5cr)
Code: TE00BJ32-3001
General information
- Enrollment
- 19.11.2018 - 03.03.2019
- Registration for the implementation has ended.
- Timing
- 18.03.2019 - 31.05.2019
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Engineering and Business
- Teaching languages
- English
- Seats
- 16 - 40
- Degree programmes
- Degree Programme in Chemical and Materials Engineering
Unfortunately, no reservations were found for the realization Introduction of Bioinformatics TE00BJ32-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation scale
H-5
Content scheduling
The course takes 8 weeks and it is divided into weekly topics and tasks.
Week 12: Starting questionnaire, Introduction, DNA databases, DNA sequence analysis: Genome Projects
Week 13: Protein databases, Protein sequence analysis
Week 14: Use of Protein Structure Data
Week 15: Pair Alignment, Multiple Alignment
Week 16: Gene Expression: Microarrays, Biostatistics
Week 17: Systems Biology: Integration of Data
Week 18: Protein Structure: Determination, Comparative Modeling
Week 19: Final task
Every weekly topic includes mid-assignments, which will open at the beginning of the week and will be closed in two weeks
Objective
After the course student can define the concept of bioinformatics. Student can apply internet based biological databases and data management tools. Student can define where and how the data is collected and how it is utilized.
Content
The course is designed to provide an introduction to the emerging technology of Bioinformatics. Student should have some previous knowledge of molecular biology and biochemistry. The student will learn basic concepts and facts of Bioinformatics and its applications in food industry, health services and information technology, for example, how microbe species can be identified by its genome sequence. The student will perceive the existence of different internet based tools and databases.
o DNA databases
o DNA sequence analysis : Genome Projects
o Protein databases
o Protein sequence analysis
o Use of protein structure data
o Pair alignment
o Multiple alignment
o Gene Expression: Microarrays, Biostatistics
o Systems Biology: Integration of data
o Protein Structure: Determination, Comparative modeling
o Theory and practice of the most common computational tools used in bioinformatics
Materials
The course material is provided in Optima.
Teaching methods
The course is web course built on Optima platform and it is accomplished by mid and final assingments.
Exam schedules
The course have no exam because assessment is based on assingments.
Pedagogic approaches and sustainable development
Course language is English. Information retrieval from journal and other databases has a central role.
Completion alternatives
No alternative methods of attainment for implementation.
Student workload
The emphasis is in the individual learning by solving assingments:
Individual studying: 63 h
Mid and final assingments: 70 h
Tasks work is conducted continuously on every week of the course. The number of assingments wil be updated closer the starting date.
Assessment criteria, approved/failed
Approved assessment:
Student has returned mid-assignments according instructions and in time. The final writen task is made according to instructions with explained conclusions and returned in time.
Evaluation methods and criteria
Assessment is based on the assingments. If the task is not returned on time (deadlines above in the "Implementation"), the points will be reduced by 1 point / task. Points per task and relation between the points and the grades will be updated closer the couse starting date. All tasks must be accepted before any credits can be gained.
Qualifications
Student should have some previous knowledge of molecular biology and biochemistry.
Further information
Student need to have basic knowledge of molecular biology and biochemistry.