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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BST 5005 BIOMEDICAL INFORMATICS 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 ATHANASIA PAVLOPOULOU

Offered to

Biomedicine and Health Technologies

Course Objective

To provide a comprehensive review of the application of computational methods in biomedicine.

Learning Outcomes of the Course Unit

1   1. To become familiar with biomedical informatics research 2   2. To become familiar with medical bioinformatics methods and their applications 3   3. To provide an introduction to personalized medicine 4   4. To describe biomolecular imaging techniques 5   5. To discuss applications of informatics in translational medicine 6   6. To describe methods for high-throughput data analysis 7   7. To describe techniques for analyzing disease-causing genes and gene products

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Biomedical Informatics 2 Biomedical Informatics Applications 3 Biomedical Data: Acquisition, Storage, and Analysis 4 Computational Molecular Biology I 5 Computational Molecular Biology II 6 Clinical Informatics 7 Applied Biostatistics 8 Midterm 9 Translational Research Informatics 10 Analysis of Disease-Causing Genes 11 Analysis and Visualization of Disease-Causing Proteins 12 Analysis and Applications of Genome-Scale Data I 13 Analysis and Applications of Genome-Scale Data II 14 Analysis and Visualization of Biomedical Networks 15 Biomedical Image Analysis and Interpretation 16 Final Exam

Recomended or Required Reading

Suggested Textbook: Biomedical Informatics: Computer Applications in Health Care and Biomedicine, by Edward H. Shortliffe and James J. Cimino. Springer-Verlag London, 2014 ISBN: 978-1-4471-4474-8

Planned Learning Activities and Teaching Methods

Oral presentation, literature search, discussion and hands-on practice.

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)

athanasia.pavlopoulou@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 5 70 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Preparing assignments 1 50 50 Preparing presentations 1 15 15 Final 1 10 10 Midterm 1 5 5 TOTAL WORKLOAD (hours) 227

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 5 5 LO.2 5 5 5 LO.3 5 5 5 LO.4 5 5 5 LO.5 5 5 5 LO.6 5 5 5 LO.7 5 5 5