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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BST 5008 CALCULUS AND LINEAR ALGEBRA FOR COMPUTATIONAL BIOLOGY ELECTIVE 3 0 0 9

Offered By

Biomedicine and Health Technologies

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR EZGI KARACA EREK

Offered to

Biomedicine and Health Technologies

Course Objective

To provide a comprehensive recap of integral mathematics applications in computational biology

Learning Outcomes of the Course Unit

1   to become familiar with calculus 2   to discuss the applications of calculus in computational biology 3   to provide an overview of linear algebra 4   to describe linear algebra applications in computational biology 5   to discuss capabilities and limitations of current computational biology algorithms using calculus and linear algebra 6   to develop new computational biology tools by using acquired mathematical skills 7   to form link between basic mathematical concepts and their applications in biology

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Calculus and Linear Algebra Applicants in Computational Biology 2 Differentiation: The Derivative 3 Integration: The Definite Integral 4 Logarithmic and Exponential Functions 5 Taylor Polynomials and Power Series 6 Geometry in the Plane and in Space 7 Linear Differential Equations 8 Computation with Calculus 9 MIDTERM 10 Matrices 11 Vector Spaces 12 Orthogonality 13 Determinants 14 Eigenvalues and Eigenvectors 15 Positive Definite Matrices 16 Computation with Linear Algebra 17 FINAL SINAVI

Recomended or Required Reading

Calculus, Third Edition, Dennis D. Berkey & Paul Blanchard Publisher: Houghton Mifflin Harcourt School (1992) Language: English ISBN-10: 0030469279 ISBN-13: 978-0030469275 Introduction to Linear Algebra, Fifth Edition, Gilbert Strang Publisher: Cambridge University Press (2017) Language: English ISBN-10: 0980232775 ISBN-13: 978-0980232776

Planned Learning Activities and Teaching Methods

Oral presentation, literature search, discussion, computer coding

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 ASG ASSIGNMENT 2 MTE MIDTERM EXAM 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ezgi.karaca@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 6 84 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Preparing assignments 1 25 25 Preparing presentations 1 20 20 Midterm 1 5 5 Final 1 5 5 TOTAL WORKLOAD (hours) 216

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 LO.1 5 5 LO.2 5 5 5 5 LO.3 5 5 LO.4 5 5 5 5 LO.5 5 5 5 5 5 5 5 LO.6 5 5 5 5 5 5 5 LO.7 5 5 5 5 5 5 5