Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
NNE 5049	COMPUTATIONAL NANOSCIENCE - I	ELECTIVE	3	0	0	7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÜMIT AKINCI

Offered to

Nanoscience and Nanoengineering
Nanoscience and Nanoengineering
Nanoscience and Nanoengineering

Course Objective

The aim of the course is to introduce students to the most commonly used methods in the theoretical examination of systems covered by nanoscience and nanotechnology.

In order to realize the desired nanosystems, mechanical, optical, electronic, magnetic properties should be determined theoretically. Numerical methods and simulation methods serve this purpose is one of the most powerful tools.

Upon successful completion of the course, students will learn the basics of the finite element method, with this method they will have knowledge about various nanotechnological applications. Students who successfully complete the course will be able to determine the various properties of nanomaterials and learn how to use the finite element method.

Learning Outcomes of the Course Unit

1	Having a general idea about the computational methods in nanoscience
2	To have an idea about the need for finite element method and to learn the basics of the method
3	To be able to apply the finite element method to 1 and 2-dimensional problems
4	To be able to recognize the programs that apply the finite element method
5	To meet the various applications of the finite element method in nanotechnology

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Introduction: Overview of computational methods in nanotechnology
2	FEM: Weighted residuals and Galerkin Method
3	FEM: Minimization process
4	1D FEM: shape functions and matrix formulation
5	1D FEM: application to an example problem (heat transfer in 1D)
6	2D FEM: shape functions, mesh construction, triangular elements
7	2D FEM: application to an example problem (2D diffusion)
8	Midterm 1
9	FEM in nanorobotic applications
10	FEM in nanocomposite design
11	Investigations of carbon nanotubes and composites by FEM
12	FEM in nanobiotechnological applications
13	Presentations of projects
14	Presentations of projects

Recomended or Required Reading

Textbook(s):

Sarhan M. Musa, Computational Finite Element Methods in Nanotechnology, CRC Press, 2013

Supplementary Book(s):

W. J. Minkowycz, E. M. Sparrow, The Finite Element Method Basic Concepts and Applications with MATLAB ® , MAPLE, and COMSOL, CRC Press, 2017

Planned Learning Activities and Teaching Methods

Lecture, problem solving, project realization

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	PRJ	PROJECT
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE 0.25 + PRJ 0.45 +FIN *0.30
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE 0.25 +PRJ 0.45 +RST *0.30

*** 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)

umit.akinci@deu.edu.tr/ Tınaztepe kampüsü öğretim üyeleri binası /223

Office Hours

Wednesday 13.00-15.00

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	9	3	27
Tutorials	2	3	6
Preparations before/after weekly lectures	11	4	44
Preparation for midterm exam	1	20	20
Preparation for final exam	1	20	20
Preparing presentations	1	50	50
Midterm	1	3	3
Final	1	3	3
TOTAL WORKLOAD (hours)			173

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.4	PO.5	PO.6	PO.7
LO.1	5	1	4	4	4	4	4
LO.2	5	1	4	4	4	4	4
LO.3	5	1	3	4	5	5	4
LO.4	5	1	3	5	5	5	4
LO.5	5	1	3	5	4	4	4

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION