EPOKA UNIVERSITY
FACULTY OF ARCHITECTURE AND ENGINEERING
DEPARTMENT OF COMPUTER ENGINEERING
COURSE SYLLABUS
COURSE INFORMATIONCourse Title: BIOINFORMATICS |
| Code | Course Type | Regular Semester | Theory | Practice | Lab | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| CEN 565 | B | 99 | 3 | 2 | 0 | 4 | 7.5 |
| Language: | English |
| Compulsory/Elective: | Elective |
| Classroom and Meeting Time: | |
| Course Description: | - |
| Course Objectives: | To introduce to the students the main bioinformatics tools and analysis methods. |
|
COURSE OUTLINE
|
| Week | Topics |
| 1 | Introduction to bioinformatics. What and why? |
| 2 | Introduction to biochemistry and molecular biology |
| 3 | Introduction to protein structure |
| 4 | Genome organization and evolution |
| 5 | Archives and Information Retrieval: Databases I |
| 6 | Archives and Information Retrieval: Databases II |
| 7 | Sequence alignment: pairwise sequence alignment and dot plots |
| 8 | Midterm |
| 9 | Database searching; BLAST |
| 10 | Sequence alignment: Multiple sequence alignment |
| 11 | Phylogenetics |
| 12 | Proteomics; Bioinformatics methods for studying proteins |
| 13 | Protein structure and drug discovery |
| 14 | Linking genes and disease: Bioinformatics and human disease |
| Prerequisite(s): | None |
| Textbook: | 1. Arthur M. Lesk, Introduction to Bioinformatics, Oxford University Press 2. Pevsner J. Bioinformatics and functional genomics; 2nd edition; Wiley-Liss. |
| Other References: | |
| Laboratory Work: | Yes |
| Computer Usage: | Yes |
| Others: | No |
|
COURSE LEARNING OUTCOMES
|
| 1 | To be able to understand the importance of bioinformatics and it use. |
| 2 | Searching biological databases, comparing sequences, understanding protein structures. |
|
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution) |
| No | Program Competencies | Cont. |
| Professional Master in Computer Engineering Program | ||
| 1 | Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. | 2 |
| 2 | Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations | 4 |
| 3 | Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. | 5 |
| 4 | Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. | 4 |
| 5 | Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. | 4 |
| 6 | Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. | 4 |
| 7 | The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. | 4 |
| 8 | Ability for effective oral and official communication skills in foreign language. | 2 |
| 9 | Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. | 3 |
| 10 | Engineering graduates with well-structured responsibilities in profession and ethics. | 4 |
| 11 | Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. | 2 |
| 12 | Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. | 3 |
|
COURSE EVALUATION METHOD
|
| Method | Quantity | Percentage |
| Homework |
4
|
5
|
| Midterm Exam(s) |
1
|
20
|
| Presentation |
1
|
10
|
| Project |
1
|
15
|
| Final Exam |
1
|
35
|
| Total Percent: | 100% |
|
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
|
| Activities | Quantity | Duration(Hours) | Total Workload(Hours) |
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 5 | 80 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 15.5 | 15.5 |
| Assignments | 8 | 3 | 24 |
| Final examination | 1 | 20 | 20 |
| Other | 0 | ||
|
Total Work Load:
|
187.5 | ||
|
Total Work Load/25(h):
|
7.5 | ||
|
ECTS Credit of the Course:
|
7.5 | ||