• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CME 4425 INTRODUCTION TO BIOINFORMATICS ALGORITHMS ELECTIVE 2 2 0 6

Offered By

Computer Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ZERRIN IŞIK

Offered to

Computer Engineering

Course Objective

This course intends to equip students with basic knowledge and skills to solve computational poblems in the field of Bioinformatics.

Learning Outcomes of the Course Unit

1   Define Cell, DNA, RNA, Protein, Transcription and other basic biological concepts of bioinformatics 2   Use pairwise and multiple sequence alignment algorithms 3   Apply Dynamic Programming, 4   Perform microarray data analysis 5   Define learning algorithms for Bioinformatics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Cell, DNA, RNA, Protein, Evolution Computational Problems in Bioinformatics 2 Sequence Alignment 3 Dynamic Programming 4 Sequence Alignment 5 Multiple Sequence Alignment 6 Motif Finding 7 Sequence Database Search 8 Phylogenetic Tree Construction 9 Midterm 10 Protein Bioinformatics 11 Microarray Data - Clustering Algorithms 12 Functional Annotation 13 Biological Pathway and Network Analysis 14 Student Presentations

Recomended or Required Reading

Text Book: Introduction to Bioinformatics, Arthur M. Lesk, Oxford University Press, 2019 Supplementary Text: Understanding Bioinformatics, Marketa J Zvelebil, Jeremy O. Baum, CRC Press, 2007

Planned Learning Activities and Teaching Methods

1. Lectures 2. Individual and group work 3. Homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRJ PROJECT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.20 + PRJ * 0.40 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + PRJ * 0.40 + 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)

zerrin@cs.deu.edu.tr

Office Hours

TBA

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 2 24 Tutorials 12 2 24 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 2 8 16 Preparation for final exam 1 12 12 Preparing assignments 3 8 24 Final 1 2 2 Midterm 2 2 4 TOTAL WORKLOAD (hours) 148

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 PO.9 PO.10 LO.1 5 LO.2 5 4 3 LO.3 5 4 3 LO.4 5 4 3 LO.5 5 4 3