Section outline

  • Course Instructor Information


    Fatema Tuj Johora

    Assistant Professor
    Computer Science & Engineering 
    Daffodil International University

    Office: Room # 705, AB-4, Daffodil Smart City(DSC)
               Cell Number  : +880 1315689508

               Email: fatema.cse@diu.edu.bd




    Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. It also exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.

    This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps.

    Today, we have new types of surveys and laboratories including “in silico studies” and “dry labs” in which bioinformaticians conduct their investigations to gain invaluable outcomes. These features have led to 3-dimensioned illustrations of different molecules and complexes to get a better understanding of nature.


    Course Learning Outcome: (at the end of the course, students will be able to do :) 

    CLO1 

    Understanding the implications, impacts and benefits of Chemistry and Biology for Computation.

    CLO2 

    Learn the basics of Molecular and Cellular Biology.

    CLO3 

    Differentiate among different Computational Chemistry methods.

    CLO4 

    Implement Different Algorithms related to Computational Biology.

    CLO5 

    Be familiar with the importance of computation in Chemical Industries.




    Grading System:

    Theory Course

    Lab Course

    Class Attendance: 7%

    Class Attendance: 10%

    Class Tests/Quizes: 15%

    Lab Final + Viva: 40%

    Assignment: 5%

    Lab Performance & Lab Assignment: 25%

    Presentation: 8%

    Project Submission + Viva: 25%

    Midterm Examination: 25%

     

    Final Examination: 40%

     


    Attendance: will be based on class attendance and weekly class feedback
    Class Test/Quiz: will be based on the BLC online test
    Assignment: will be based on class performance and assignment submission
    Presentation: will be based on the team presentation
    Mid and Final Exam: open book class studies
    Lab: will be based on project work, performances, tests, and Viva

    Academic Honesty
    1. Ensure Plagiarism < 20%
    2. Reflect self-understanding
    3. Avoid all unfair means to ensure the growth of your positive mindset