| Course Type | Elective Course |
| Course Level | Bachelor's Degree |
| Year of Study | - |
| Semester | - |
| ECTS | 4 |
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Understand content of functional genomics, physical mapping of the genome and sequence analysis technologies.
- Learn functional genomic applications for diagnosis of genetic diseases.
- Understand gene identification, genome annotation and comparative genomic approaches using bioinformatics tools.
- Understand gene identification, genome annotation and comparative genomic approaches using bioinformatics tools.
- Perform literature review on a topic of interest of the course content, and discuss results.
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | No |
| Course Description | The aim of this course is to introduce the methods used in bioinformatics and functional genomics. This course will discuss how eukaryotic organisms respond to various conditions at the whole genome level. |
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Definition and content of functional genomics |
|
2nd Week |
Genome organization and structure |
|
3rd Week |
Physical mapping of the genome |
|
4th Week |
Sequence analysis technologies |
|
5th Week |
Sequence analysis |
|
6th Week |
Functional genomic applications for diagnosis of genetic diseases |
|
7th Week |
Microarrays for genomics |
|
8th Week |
Gene identification |
|
9th Week |
Bioinformatics and genome annotation |
|
10th Week |
Comparative genomics |
|
11th Week |
Integrative genomics and systems biology |
|
12th Week |
Meta-genomics |
|
13th Week |
Student projects |
|
14th Week |
Student projects |
|
| Recommended or Required Reading | Principles of Gene Manipulation and Genomics, 7th Edition. S.B. Primrose and R.M. Twyman. Blackwell Publishing, 2006.
Research articles. |
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Project
- Presentation
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
35 |
| Assignment |
1 |
15 |
| Attendance |
1 |
5 |
| Total(%) |
|
55 |
| Contribution of In-term Studies to Overall Grade(%) |
|
55 |
| Contribution of Final Examination to Overall Grade(%) |
|
45 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
|
|
|
| Preparation for Final exam |
1 |
30 |
30 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
20 |
20 |
| Project |
|
|
|
| Total Work Load | 121 |
| Total Work Load / 30 (h) | 4.03 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | English |
| Work Placement(s) | No |