BIOTECHNOLOGY DATABASES AND BIODATA MINING

BTE521

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

Within the scope of this course; Databases and their usage areas in the field of biotechnology and basic approaches of data mining are explained.

Course Contents

WEEK	TOPICS
1^st Week	Introduction and Basic Definitions
2^nd Week	Genomic Databases
3^rd Week	Sequence Databases
4^th Week	Protein Structure Databases
5^th Week	Interaction Databases
6^th Week	Gene Expression Databases
7^th Week	MIDTERM EXAM
8^th Week	Data Mining
9^th Week	Correlation Analysis
10^th Week	Classification
11^th Week	clustering
12^th Week	Regression Analysis
13^th Week	Feature Reduction and Selection
14^th Week	Principal Component Analysis

Recommended or Required Reading

Update literature covering the studies in the area.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	1	25
Quiz	1	45
Total(%)		100
Contribution of In-term Studies to Overall Grade(%)		100
Contribution of Final Examination to Overall Grade(%)		0
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	84	84
Preparation for Quiz	1	16	16
Individual or group work	0	0	0
Preparation for Final exam	1	24	24
Course hours	14	3	42
Preparation for Midterm exam	1	11	11
Laboratory (including preparation)	0	0	0
Final exam	1	96	96
Homework	1	12	12
Project	1	12	12
Total Work Load			297
Total Work Load / 30 (h)			9.9
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)