MECHATRONICS (TURKISH) | |||||
Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MBG2004 | Computation for Biological Sciences II | Spring Fall |
2 | 2 | 3 | 7 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Associate (Short Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ELIZABETH HEMOND |
Course Lecturer(s): |
Prof. Dr. SÜREYYA AKYÜZ |
Course Objectives: | This class intended to provide advanced information to computational tools for biology. |
The students who have succeeded in this course; 1. Learn important biological data sources. 2. Evaluate the results of biological analysis statistically and mathematically. 3. Learns how to use various tools to evaluate genome sequencing data. 4. Learn basic level Matlab. |
Sequence data, searching and alignment, structural data, genome sequencing, genome analysis, genetic variation, gene and protein expression, and biological networks and pathways. |
Week | Subject | Related Preparation |
1) | Advanced sequencing data analysis | |
2) | Genome alignment I | |
3) | Genome alignment II | |
4) | Structural data | |
5) | Genome sequencing | |
6) | Genome analysis I | |
7) | Genome analysis II | |
8) | Advanced genetic variation analysis I | |
9) | Advanced genetic variation analysis II | |
10) | Biological networks I | |
11) | Biological networks II | |
12) | Biological pathways I | |
13) | Biological pathways II | |
14) | Biological pathways III |
Course Notes / Textbooks: | Ders notları haftalık olarak verilecektir. Course material will be provided weekly. |
References: | Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684 |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 10 | % 10 |
Presentation | 1 | % 15 |
Midterms | 1 | % 25 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 4 | 56 |
Study Hours Out of Class | 14 | 7 | 98 |
Presentations / Seminar | 5 | 4 | 20 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 178 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To improve fundamental computer knowledge, to encourage students using office and package programs. | |
2) | Ability to have and use of fundamental mathematics knowledge and skills the usage of relevant materials. | |
3) | Ability to recognize general structures of machine equipments and the features of shaping | |
4) | Ability to grasp manufacturing processes and cutting tool materials, materials, statics, mechanics and fluid science fundemantal knowledge. | |
5) | Ability to draw assembly and auxilary devices as well as to draw whole or details of a system. | |
6) | Ability to have a knowledge of fundemantal manufacturing process such as turning, milling, punching,grinding and welding techniques and to have a self esteem in order to work behind the bench. | |
7) | Ability to do computer aided design and write program on digital benches. | |
8) | Ability to prepare project report, follow up project process and implement projects. | |
9) | ability to learn the areas of usage of electronic circuit components. Ability to grasp and write programs for micro controllers and for their components. Ability to design relevant circuits. | |
10) | Ability to understand the electric motors principles and AC-DC analysis | |
11) | Ability to gain a dominaion on visual programming | |
12) | Having the ability to communicate efficiently in verbal and written Turkish, to know at least one foreign language in order to communicate with the colleagues and customers. |