TÜRKÇE
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Information
| Code | CEN410 |
| Name | Computational Biology and Advanced Topics |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Yılmaz ATAY |
Course Goal
Analysis of protein sequences and other complex biological systems by computer based methods
Course Content
Basics of Biology, Sequence Assembly, Sequence Alignment, Motif Finding, Dynamic Programming for Alignment, Molecular Computers, Introduction to Complex Biological Systems
Course Precondition
Yok
Resources
Computational Biology
Notes
Computational Biology Advanced
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understanding the protein sequence |
| LO02 | Understanding the methods requred to analyze sequences |
| LO03 | Finding the patterns in the sequences |
| LO04 | Understanding the methods required for analysis of complex biological systems |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has capability in the fields of mathematics, science and computer that form the foundations of engineering | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and to conduct experiments, to collect data, to analyze and to interpret results | 1 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence | 2 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Can access information,gains the ability to do resource research and uses information resources | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability | 4 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language | 5 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Professional and ethical responsibility, | 3 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, | 2 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | History of Computational Biology | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 2 | Basics of Biology | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 3 | Alignment and Statistics | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 4 | Protein Alignment | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 5 | Markov and Hidden Markov Models for Protein Features | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 6 | Protein Structure | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 7 | Methods for obtaining patterns | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Review of lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Predicting protein structure | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 10 | Protein Interactions | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 11 | Regulatory Networks | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 12 | Gene Regulatory Networks | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 13 | Comparative analysis of gene regulation | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 14 | Synthetic Biology | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 15 | Human Genetics | Reading related chapter | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Review of lecture notes | Öğretim Yöntemleri: Anlatım |
| 17 | Term Exams | Review of lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||