COURSE UNIT TITLE

: BIOMEDICAL INFORMATICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BMT 5026 BIOMEDICAL INFORMATICS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR MEHMET KUNTALP

Offered to

Biomedical Tehnologies (English)
Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

Biomedical informatics is the broad discipline concerned with the study and application of computer science, information science, informatics, cognitive science and humancomputer interaction in the practice of biological research, biomedical science, medicine and healthcare. Other fields, including bioinformatics, clinical research informatics, clinical informatics and public health informatics, medical informatics are commonly cast as sister domains of or sub-domains within biomedical informatics. Aim of this course is to introduce and familiarize student with the above mentioned topics of Biomedical Informatics.

Learning Outcomes of the Course Unit

1   Ability to collect and organize data for analysis, and represent data in a form that is useful and upports computer based analysis for basic data base structures for data management and data mining.
2   Describing the standarts used biomedical in review the principles, uses and limitations of decision analysis, Discuss common heuristics that are employed in making judgments under uncertainty which lead to systematic and predictable errors.
3   Familiarization of key consept intensively used in biomedical informatics, current problems and challanges.

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 Data: Acquisition, storage and use.
3 Essential concepts for biomedical computing
4 Biomedical decision making and clinical reasoning
5 Standards in Biomedical Informatics
6 System Design and Engineering in BMI
7 Electronic Health Record Systems
8 Midterm
9 Patient Care/Monitoring Systems
10 Information Retrieval and Digital Libraries
11 BioInformatics
12 BioInformatics
13 Medical Imaging and Achieving Systems
14 Ethics and Health Informatics

Recomended or Required Reading

Shortliffe EH, Cimino JJ (eds). Biomedical Informatics: Computer Applications in Health Care and Biomedicine (3rd edition). New York: Springer, 2006.
David Dagan Feng (ed), Biomedical Information Technology, Academic Press Series, Elsevier, 2008.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend the lecture hours and take part in the discussions. Besides the taught lecture, individual projects are to be prepared by the students and presented.

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

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)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 5 70
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing assignments 1 12 12
Final 1 4 4
Midterm 1 3 3
TOTAL WORKLOAD (hours) 169

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.13455
LO.24444
LO.3331222