Information Package / Course Catalogue
| Course Code | : LBT117 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 2 |
This course addresses the digital transformation process of laboratory technologies with a holistic approach through innovative areas such as artificial intelligence, automation, IoT, VR, molecular biotechnology and sustainability. Students get to know many contemporary applications from LIMS systems to 3D biobanking, CRISPR to virtual laboratories at the theoretical level, and gain awareness of the scientific infrastructure of the future by working on laboratory scenarios. The course aims to provide students with both technical knowledge and an ethical, sustainable and interdisciplinary perspective. This course addresses the digital transformation process of laboratory technologies with a holistic approach through innovative fields such as artificial intelligence, automation, IoT, VR, molecular biotechnology and sustainability. Students get to know many contemporary applications from LIMS systems to 3D biobanking, CRISPR to virtual laboratories at the theoretical level, and gain awareness of the scientific infrastructure of the future by working on laboratory scenarios. The course aims to provide students with both technical knowledge and an ethical, sustainable and interdisciplinary perspective.
This course aims to provide students with a holistic understanding of next generation laboratory technologies, digital transformation, artificial intelligence, biotechnology, automation and sustainability. It also provides students with the ability to learn the correct use of technological systems and to be prepared for future laboratory scenarios.
| Lec. Mürüvvet ABBAK |
| 1. | To have knowledge about new laboratory technologies, field knowledge and application competence |
| 2. | Can use laboratory automation and digital systems. Problem solving and decision making skills |
| 3. | Can interpret new technology and access to information, artificial intelligence and data analytics tools, can explain biotechnological developments (CRISPR, organ-on-a-chip etc.) |
| 4. | Team work and project execution skills |
| 5. | Can design a sustainable, safe and digital laboratory. Ethical and sustainability sensitivity, lifelong learning awareness. |
| 1. | Moleküler Biyoloji – Nobel Yayınları (Ed. Prof. Dr. Mehmet Karataş) |
| 2. | Temel ve İleri Moleküler Biyoloji Yöntemleri |
| 3. | Laboratory Automation and High-Throughput Biology Otomasyonun moleküler biyoloji ve biyoteknoloji uygulamalarındaki entegrasyonu üzerine yeni bir yaklaşım sunar. |
| 4. | Innovative Technological Advancements in Laboratory Medicine Moleküler biyolojiden klinik otomasyona kadar laboratuvar teknolojilerinin evrimini ve geleceğini ele alır. |
| 5. | Advancements in Diagnostic Technology: Transforming Clinical Laboratory Practices Yapay zekâ destekli LIMS ve otomatik sistemlerle ilgili güncel örnekler içerir. |
| 6. | Development of Advanced Laboratory Techniques Robotik sistemler ve moleküler biyoloji tekniklerinin evrimsel gelişimi üzerine bir kılavuz. |
| 7. | Osmanlı’da Bilim ve Teknoloji-Aykut Kazancıgil |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Individual Work | 14 | 1 | 0 | 14 |
| Midterm Examination | 1 | 3 | 1 | 4 |
| Final Examination | 1 | 5 | 1 | 6 |
| TOTAL WORKLOAD (hours) | 52 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | |
OÇ-1 | 5 | 5 | 5 | 2 | ||||
OÇ-2 | 5 | 5 | 5 | 2 | ||||
OÇ-3 | 5 | 5 | 5 | 2 | ||||
OÇ-4 | 5 | 5 | 5 | 2 | ||||
OÇ-5 | 5 | 5 | 5 | 2 | ||||