defter*
defter / katalog / MSN 513
MSN 513

Micro and Nanostructured Sensors and Biosensing Applications

Introductory and fundamental concepts in sensors and transducers. Underlying biorecognition principles with multiple molecules and strategies. Designing surface chemistry approach for immobilization of biorecongition elements. Characterization tools and analysis. Biosensor approaches including nanoparticle-based sensing/imaging strategies, optical sensing modalities, electrochemical sensing strategies, and mechanical/acoustic sensing. Integrative technologies such as microfluidics, lab-on-chip systems, smart materials, and whole-cell machinery. Demonstrating applications in medical diagnostics, environmental monitoring, food/water safety, and security. Closing remarks with miniaturized and easy-to-use sensors, and their adaptation to our daily-life.

Credit3
ECTS5
BölümMaterials Science and Nanotechnology

Hocalar 1 bu dönem · 1 geçmiş

Bu dönem (2025-2026 Spring) · 1 section
Fatih İnci
Geçmişte ders veren (1 kişi)
Aykutlu Dana

→ STARS müfredatı / syllabus

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↑ konuya MSN 513 yaz

Geçmiş GPA dağılımı 9 dönem · ort. 3.71

DönemCourse CPA
2023-2024 Fall 3.67 1 sec · 12 öğr
2022-2023 Fall 3.64 1 sec · 19 öğr
2021-2022 Fall 3.51 1 sec · 28 öğr
2020-2021 Fall 3.61 1 sec · 20 öğr
2016-2017 Fall 3.49 1 sec · 22 öğr
2015-2016 Fall 3.90 1 sec · 6 öğr
2011-2012 Spring 3.84 1 sec · 12 öğr
2010-2011 Spring 3.76 1 sec · 31 öğr
2008-2009 Fall 3.93 1 sec · 18 öğr

Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.

Müfredat detayı STARS syllabus

⚖️ Değerlendirme

  • 20% — Midterm: Midterm (×1)
  • 25% — Final Exam: Final Exam (×1)
  • 25% — Term Project: Term Project (×1)
  • 20% — Quiz: Quiz (×2)
  • 10% — In-class participation: In-class participation (×1)

⚠️ FZ engelleyen şartlar

Course Learning Outcomes: Course Learning Outcome Assessment Develop the concept of a sensor, and other related fundamental concepts such as signal to noise ratio, resolution, sensitivity, linearity and limit of detection Midterm Final Exam Term Project Quiz Develop basic understanding of MEMS fabrication processes Midterm Final Exam Term Project Quiz Learn about mechanical design elements, and lumped models. Learn about piezoelectric, capacitive and piezoresistive sensing. Midterm Final Exam Te

📅 Haftalık müfredat

Course overview. Introductory concepts on sensors and transducers, historical development, and recent advances. Fundamental aspects of transduction: throughput, dynamic range, limit of detection, limit of quantitation, labelling/label-free strategies, and signal enhancement. Bioreceptors and molecular recognition: enzymes, antibodies, carbohydrates, nucleic acids, aptamers, lipids, and molecularly imprinting polymers. Surface chemistry approaches: surface functionalization, immobilization of biologically and chemically active groups. Characterization tools and analysis. Nanoparticle-based sensing and imaging strategies: paper-based assays, lateral flow assays, targeted imaging particles, and so on. Optical sensing modalities: surface plasmon resonance, photonic crystals, SERS, whispering gallery mode, etc. Electrochemical sensing strategies: amperometric, voltammetric, conductometric, impedimetric, and potentiometric sensors. Mechanical/Acoustic sensing strategies: cantilever-based systems, quartz crystal microbalance, and so on. Integrative systems: microfluidics and lab-on-chip systems. Integrative systems: smart materials and whole-cell machinery Application: medical diagnostics (point-of-care, point-of-need, non-invasive and rapid tests). Application: sensing strategies for environmental monitoring, food/water safety and allergens. Application: sensors for security. Future perspective on sensors: miniaturizing and simplifying sensors for daily-use. ECTS - Workload Table: Activities Number Hours Workload Course hours 14 3 42 Quiz 2 2 4 Project (including preparation and presentation if applicable) 1 78 78 Preparation for Midterm exam 1 5 5 Midterm exam 1 6 6 Preparation for Quiz 2 2 4 Final exam 1 6 6 Preparation for Final exam 1 5 5 Total Workload: 150 Total Workload / 30: 150 / 30 5 ECTS Credits of the Course: 5 Type of Course: Lecture - Project Course Material: Multimedia - PC - Written Teaching Methods: Lecture - Practical session - Assignment