Information Package
baskent.edu.tr

Program of Computer Engineering (English)

CSE172

LIFE SCIENCES AND COMPUTER ENGINEERING

Course Code
CSE172
Semester
Second Term (Spring)
Theory+Practice
2 + 1
ECTS
4
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study1
SemesterSecond Term (Spring)
ECTS4
Name of Lecturer(s)
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionA 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 Intro to Life Sciences, Theory of Evolution, Chemical Fundamentals of Life
2nd Week Structure of DNA & RNA, Central Dogma, Transcription and Translation, Replication
3rd Week Structure of Proteins and Protein Folding, Photosynthesis and Respiration
4th Week Cell and Membranes, Organelles
5th Week Cell Division, Cell Cycles & Cancer
6th Week Introduction to Python 1
7th Week Programming in Python 1 (LAB 1)
8th Week Midterm
9th Week Bioinformatics, Sequence Alignment
10th Week Bioinformatics (LAB 2)
11th Week Introduction to Python 2
12th Week Programming in Python 2 (LAB 3)
13th Week Programming in Python 3 (LAB 4)
14th Week Ambient Assisted Living, Imaging Techniques, Virtual and Augmented
15th Week Reality Applications in Health (UN SDG and its Relation to Computer Science Applications in Health)
Recommended or Required Reading1. 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
Language of InstructionEnglish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4
K1 X
K2
K3
K4 X X
K5
K6
K7
K8 X
K9
K10
K11 X X X X