| 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 biological databases, advanced and multiple sequence alignment strategies, and models and algorithms of sequence alignments.
- Learn advanced sequence and domain prediction, and molecular phylogenetic strategies.
- Understand protein and RNA structure prediction approaches.
- Perform computer application of the course content, run a study on individual basis, and discuss results.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Bioinformatics, compiling and analyzing complex biological data in the context of the synthesis of the fields of mathematics, statistics, computer science, molecular biology and genetics in order to make sense of, store, and visualize biological data and to make maximum use of this enormous knowledge, It is also intended to relate approaches between genomic and proteomic data. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Biological databases |
|
2nd Week |
Multiple sequence alignments and models |
|
3rd Week |
Computer applications |
|
4th Week |
Promoter and regulatory sequence prediction |
|
5th Week |
Protein motifs and domain prediction |
|
6th Week |
Computer applications |
|
7th Week |
Phylogenetic tree construction methods and programs |
|
8th Week |
Computer applications |
|
9th Week |
Comparison of protein structures |
|
10th Week |
Prediction of protein structures |
|
11th Week |
Prediction of secondary RNA structures |
|
12th Week |
Computer applications |
|
13th Week |
Student projects and discussions |
|
14th Week |
Student projects and discussions |
|
| Recommended or Required Reading | Essential Bioinformatics. Jin Xiong. Cambridge University Press, 2006. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Practice
- Project
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
35 |
| Practice |
1 |
25 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| 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 |
35 |
35 |
| Course hours |
14 |
2 |
28 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Performance Practice |
14 |
2 |
28 |
| Total Work Load | 120 |
| Total Work Load / 30 (h) | 4 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
