COURSE UNIT TITLE

: FIBER OPTIC CHEMICAL SENSORS AND NANOSENSORS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
NNE 5015 FIBER OPTIC CHEMICAL SENSORS AND NANOSENSORS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR KADRIYE ERTEKIN

Offered to

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering
Nanoscience and Nanoengineering

Course Objective

Aim of this course is to give an idea to students on backgrounds of Fiber optic chemical sensor design as well as nanosensors in terms of instrumentation and sensing mechanisms.

Learning Outcomes of the Course Unit

1   This course is expected to understand the student how fiber optic chemical sensors could be designed and exploit in technology or daily life.
2   To develop the students analytical thinking abilities and abilities to present new and creative approaches regarding optical chemical sensing
3   Understanding of basic instrumentation, (batch and flow systems), fiber optics, nano scale devices
4   Undurstanding of indicator chemistry and analyte on basis of consequences of interactions taking place on sensor surface and solution
5   Students should be able to adopt their general information regarding sensor and nano sensor technologies to different fields.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to light and fiber optic chemical sensors
2 Fiber optics (Structural/numerical aperture of fibers, Step index/ graded index optical fibers, bifurcation of optical fibers, introduction of light into an optical fiber, fiber optics and sensor design)
3 Transparency, absorption and emission characteristics of fiber optics
4 Introduction to fiber optic chemical sensor design: Polymeric support materials in sensor design, immobilization techniques of sensing agent, covalent and electrostatic immobilization.
5 Glassy sol-gel matrix materials/ ormosils/ hyrogels and their applications in fiber optic chemical sensor design
6 Incorporation of polymeric thin films and electrospun nano-materials with fiber optics.
7 Understanding of sensing chemistry, towards sensor design (Choice of sensing material in accordance with analyte).
8 Frequency based sensor design (Instrumentation: Coupling of Lock-in amplifier with light sources /LEDs/ fiber optics/ Measurement)
9 Fiber optic chemical sensing of gaseous and dissolved gaseous species
10 Sensors for homeland security
11 Sensors exploiting supramolecules and nanoscale materials
12 Sensors for cations anions and bio-toxins
13 innovations in optical chemical sensors and biosensors: A review on optical chemical sensing
14 An assessment of presentations and final-exam.

Recomended or Required Reading

Fiber Optic Chemical Sensors and Biosensors, CRC Press, Boca Raton, 1991, vols. 1 & 2

Planned Learning Activities and Teaching Methods

The course will go on as class presentation and sometimes will be in interactive format. All course members are expected to attend the lectures and submission hours and take part in the submission/ discussion sessions. Besides, oral presentations on selected topics are to be prepared by the students

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS 1 PRESENTATION 1
2 PRS 2 PRESENTATION 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRS 1 * 0.20 + PRS 2 * 0.20 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRS 1 * 0.20 + PRS 2 * 0.20 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Kadriye Ertekin
email: kadriye.ertekin@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Presentation 12 3 36
Preparation before/after weekly lectures 12 5 60
Preparation for Quiz etc. 1 20 20
Preparing Individual Assignments 2 20 40
Preparing projects 1 28 28
Midterm assesment 1 3 3
Presentation assesment 1 6 6
TOTAL WORKLOAD (hours) 193

Contribution of Learning Outcomes to Programme Outcomes

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