1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ENGINEERING
  3. COMPUTER ENGINEERING DEPARTMENT
  4. 253 Computer Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 489INTRODUCTION TO BIOINFORMATICS3 + 07th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to conceive the up to date subjects of bioinformatic through introducing computing techniques on biological data. This course gives an introduction to the terminology, problems, algorithms and tools related to bioinformatics, which is one of the hottest research topics of computer science recently.
Course Content Basic concepts in moleculer biology, sequence alignment algorithms, multiple sequence alignment algorithms, hidden Markov Models, gene prediction. Gibbs' Sampling algorithm.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Defines the problems related to bioinformatics.
2Understands and compares algorithms and data structures related to bioinformatics.
3Enables students to use algorithm development techniques in their fields in bioinformatics.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001543    23455
LO 002 11343223455
LO 003  1212332211
Sub Total555555578101111
Contribution222222223344

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)10550
Mid-terms11313
Final examination12525
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1ŞEVKET UMUT ÇAKIR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
CENG 489 INTRODUCTION TO BIOINFORMATICS 3 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer ŞEVKET UMUT ÇAKIR sucakir@pau.edu.tr MUH A0226 %
Goals The aim of this course is to conceive the up to date subjects of bioinformatic through introducing computing techniques on biological data. This course gives an introduction to the terminology, problems, algorithms and tools related to bioinformatics, which is one of the hottest research topics of computer science recently.
Content Basic concepts in moleculer biology, sequence alignment algorithms, multiple sequence alignment algorithms, hidden Markov Models, gene prediction. Gibbs' Sampling algorithm.
Topics
WeeksTopics
1 Introduction to Biology
2 Sequence Alignment
3 Sequence Alignment
4 Sequence Alignment
5 Sequence Alignment
6 Phylogenetic Trees
7 Protein Structure
8 Protein Structure
9 Protein Structure
10 Microarray Data Analysis
11 Microarray Data Analysis
12 Gene / Protein Networks
13 Gene / Protein Networks
14 Gene / Protein Networks
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam40Final Exam
Midterm Exam40Midterm Exam
Homework20Homework
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes