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Rajasree Nair
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My lesson plan
Computational Thinking Course:
Recognizing the DNA /RNA sequence in Virus which contributes for mutation

Project plan at a glance.
Subject area(s) Biological classification- Virus and viroids
Suggested age 16 to 18 years old
Prior knowledge Understanding of different types of Viruses and viral diseaeses.
Time 1 Month
Standards Core Subjects: Biology
Computer Science

Project Overview
The objective of this project is to discover the sequence in virus which is most likely to mutate so that the virus evolve as a new virus. Students will use computational thinking skills such as decomposition, pattern recognition and algorithm design in order to define the problem and also to find out the most likely sequence of mutation

Learning outcomes

Students will be able to:
 Understand the importance of mutation in viruses
 Connect this mutation with disease out breaks
 Explain the significance of different mutations.
 Create, edit and test Python code that can solve the project question.

Project lesson plan

Lesson content Potential structure/ suggested activities
 Decomposition Introduction about virus and viral diseases.
Introduction to the viruses with special mention about the mutation in virus and their evolution and the project aims/objectives by the teacher.

Students organize into groups and each student researches a particular virus.
Students are asked to breakdown the problem in to sub problems..

2: Pattern recognition - 
DNA sequence which is responsible for mutation Students are provided with different coloured letters to arrange the sequences which is mutated and evolved from another virus.
Students discuss and find out the probability of next mutation.
3: Abstraction – 
Students are asked to find out the similarity and differences between  viral sequences using BLAST and are asked to find out the mutation sequences.

Students mind map generalisations.

Peer assess solutions and suggest improvements.

4: Algorithmic design - Students are asked to design new viral sequence with probable mutation

Students start writing their program. CTS - algorithm design.

Students present preliminary findings and teacher comments on the design


Students are assessed based on their work and presentation. The presentation will be assessed against the learning outcomes and verbal feedback will be provided.  

Additional Resource Links
• Local sequence alignment, BLAST 

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