TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	1
SEMESTER	Second Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	4
NAME OF LECTURER(S)	Assistant Professor Çağatay Berke Erdaş Assistant Professor Didem Ölçer
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Be informed about basic life sciences. 2) understand the importance of computer engineering in this field. 3) learn modern computer applications in medicine 4) be able to disseminate the applicability of computer applications in life science.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	A survey of biological principles covered in a range from cell to genetic engineering. Integration of computer engineering and the life sciences, with a foundation in biology, chemistry and bioengineering methods. Introduction to biochemistry, biosystems, human metabolism and genetics. Modern evolutionary theory and animal/plant systems. Biological data and information flow. Application of computer engineering techniques to problems arising in biosciences.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction & Pyhton Programming 2nd Week Future of Healthcare Technologies 3rd Week Personalize medicine 4th Week Pyhton Programming (LAB) 5th Week Cell 6th Week DNA-RNA-Protein & Python Programming 7th Week Pyhton Programming (LAB) 8th Week Midterm 9th Week Cell Cycle & Cancer 10th Week Bioinformatics 11th Week Pyhton Programming (LAB) 12th Week Bioinformatics & Machine Learning 13th Week Pyhton Programming (LAB) 14th Week Telemedicine & Wearable Sensors
RECOMENDED OR REQUIRED READING	1. Lehninger, A. L., Nelson, D. L. and Cox, M. M., Principles of Biochemistry, Worth Publishers, 1993. 2. J. D. Watson, Molecular Biology of the Gene, Second edition, Benjamin/Cummings, Menlo Park, 1987. 3. Genetic and Evolutionary Computation, Goldberg, David, Koza, John R. Springer, 2010. 4. Deitel&Deitel, Liperi and Wiedermann, Python How To Program, Prentice Hall, 2002
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Report Preparation,Practice
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 3 3 Quiz 4 12 Practice 4 12 Attendance 1 3 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1,5 1,5 Preparation for Quiz 4 4 16 Individual or group work Preparation for Final exam 1 40 40 Course hours 14 3 42 Preparation for Midterm exam 1 30 30 Laboratory (including preparation) 4 2 8 Final exam 1 1,5 1,5 Homework 3 1 3 Quiz 4 1 4 Total Workload 146 Total Workload / 30 4,86 ECTS Credits of the Course 4
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No