| ENS 502 Product and Process Design |
3 Credits |
|
Introduction to product and process design and
managerial and economic aspects; basic characteristics
of engineering products; methodologies employed
in product design process; product and process
integration; prototyping; quality issues and process
control; overview of computer tools for product and
process design; term project with interdisciplinary
teams on a product and/or process design.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2010-2011 |
Product and Process Design |
3 |
| Spring 2009-2010 |
Product and Process Design |
3 |
| Spring 2008-2009 |
Product and Process Design |
3 |
| Spring 2007-2008 |
Product and Process Design |
3 |
| Spring 2006-2007 |
Product and Process Design |
3 |
| Spring 2005-2006 |
Product and Process Design |
3 |
| Spring 2004-2005 |
Product and Process Design |
3 |
| Spring 2003-2004 |
Product and Process Design |
3 |
| Spring 2002-2003 |
Product and Process Design |
3 |
| Spring 2001-2002 |
Product and Process Design |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 505 Methods of Statistical Inference |
3 Credits |
|
The main objective of this course is to review the basic
concepts of the theory of statistics and further develop an
understanding of some fundamental applied statistical
methods. The emphasis is on applications of the theory in
the development of statistical procedures. Some examples
of applying statistics to engineering problems are also
given. Theory- and computation-based assignments help
students digest the concepts and apply them in practice.
Covered topics: Fundamental concepts of statistics and
related distributions; design of experiments and analysis of
variance; multiple hypotheses testing; regression and
correlation analysis; Bayesian statistics; computer-aided
analysis of data.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Methods of Statistical Inference |
3 |
| Spring 2022-2023 |
Methods of Statistical Inference |
3 |
| Spring 2021-2022 |
Methods of Statistical Inference |
3 |
| Spring 2020-2021 |
Methods of Statistical Inference |
3 |
| Spring 2019-2020 |
Methods of Statistical Inference |
3 |
| Spring 2018-2019 |
Methods of Statistical Inference |
3 |
| Fall 2015-2016 |
Methods of Statistical Inference |
3 |
| Fall 2014-2015 |
Methods of Statistical Inference |
3 |
| Fall 2012-2013 |
Methods of Statistical Inference |
3 |
| Fall 2011-2012 |
Methods of Statistical Inference |
3 |
| Fall 2010-2011 |
Methods of Statistical Inference |
3 |
| Fall 2009-2010 |
Methods of Statistical Inference |
3 |
| Fall 2008-2009 |
Methods of Statistical Inference |
3 |
| Fall 2007-2008 |
Methods of Statistical Inference |
3 |
| Fall 2006-2007 |
Methods of Statistical Inference |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 509 Numerical Methods |
3 Credits |
|
This course cover techniques in numerical analysis such
as numerical solution of linear systems, sparse
matrix techniques, linear least squares, singular value
decomposition, numerical computation of eigenvalues and
eigenvectors, optimization techniques, interpolation and
approximation of functions, solving systems of nonlinear
equations, numerical handling of ordinary and
partial differential equations.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2015-2016 |
Project Management & Entrepreneurship |
3 |
| Spring 2013-2014 |
Project Management & Entrepreneurship |
3 |
| Fall 2016-2017 |
Numerical Methods (CS505) |
3 |
| Fall 2015-2016 |
Numerical Methods (CS505) |
3 |
| Fall 2014-2015 |
Numerical Methods (CS505) |
3 |
| Fall 2013-2014 |
Numerical Methods (CS505) |
3 |
| Fall 2012-2013 |
Numerical Methods (CS505) |
3 |
| Fall 2011-2012 |
Numerical Methods (CS505) |
3 |
| Spring 2010-2011 |
Numerical Methods (CS505) |
3 |
| Spring 2009-2010 |
Numerical Methods (CS505) |
3 |
| Spring 2008-2009 |
Numerical Methods (CS505) |
3 |
| Spring 2007-2008 |
Numerical Methods (CS505) |
3 |
| Spring 2004-2005 |
Numerical Methods (CS505) |
3 |
| Spring 2003-2004 |
Numerical Methods (CS505) |
3 |
| Spring 2002-2003 |
Numerical Methods (CS505) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 511 Engineering Optimization |
3 Credits |
|
This course will cover optimization methods for solving
engineering problems. The methods will include linear and
nonlinear programming, integer programming, dynamic
programming, network models and an introduction to
metaheuristic algorithms. Special emphasis will be given to
practical aspects.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Engineering Optimization |
3 |
| Spring 2022-2023 |
Engineering Optimization |
3 |
| Spring 2021-2022 |
Engineering Optimization |
3 |
| Spring 2020-2021 |
Engineering Optimization |
3 |
| Spring 2019-2020 |
Engineering Optimization |
3 |
| Spring 2018-2019 |
Engineering Optimization |
3 |
| Fall 2016-2017 |
Engineering Optimization |
3 |
| Fall 2015-2016 |
Engineering Optimization |
3 |
| Fall 2014-2015 |
Engineering Optimization |
3 |
| Spring 2013-2014 |
Engineering Optimization |
3 |
| Spring 2012-2013 |
Engineering Optimization |
3 |
| Spring 2011-2012 |
Engineering Optimization |
3 |
| Spring 2010-2011 |
Engineering Optimization |
3 |
| Spring 2009-2010 |
Engineering Optimization |
3 |
| Spring 2008-2009 |
Engineering Optimization |
3 |
| Spring 2007-2008 |
Engineering Optimization |
3 |
| Spring 2006-2007 |
Engineering Optimization |
3 |
| Spring 2005-2006 |
Engineering Optimization |
3 |
| Fall 2004-2005 |
Engineering Optimization |
3 |
| Fall 2003-2004 |
Engineering Optimization |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 513 Experimental Methods in Nanoscience I |
3 Credits |
|
The objective of the course is to introduce basic
experimental methods in nanoscience. Theoretical
lectures are followed by experiments performed
in the laboratory for each subject. Labview
programming, vacuum techniques, deposition methods,
surface science techniques, scanning tunneling microscopy,
atomic force microscopy, nanomagnetism.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2019-2020 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2017-2018 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2015-2016 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2014-2015 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2013-2014 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2012-2013 |
Experimental Methods in Nanoscience I |
3 |
| Fall 2011-2012 |
Experimental Methods in Nanoscience I |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 514 Experimental Methods in Nanoscience II |
3 Credits |
|
The objective of the course is to introduce basic
experimental methods in nanoscience.
Theoretical lectures are followed by experiments performed
in the laboratory for each subject. Growth
and bottom up fabrication of nanostructures,
fabrication of nanostructures and nanodevices, electron
beam lithography and related techniques,
cryogenic techniques, electrical characterization of
nanodevices, quantum transport and magneto transport
measurements.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Experimental Methods in Nanoscience II |
3 |
| Fall 2018-2019 |
Experimental Methods in Nanoscience II |
3 |
| Spring 2015-2016 |
Experimental Methods in Nanoscience II |
3 |
| Spring 2014-2015 |
Experimental Methods in Nanoscience II |
3 |
| Spring 2013-2014 |
Experimental Methods in Nanoscience II |
3 |
| Spring 2012-2013 |
Experimental Methods in Nanoscience II |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 516 Introduction to Scanning Probe Microscopy |
3 Credits |
|
The objective of the course is to introduce Scanning
Probe Microscopy methods to the students.
Staring with Scanning Tunnelling Microscope we
will elaborate most of the common SPM
methods. However, we shall spend most of the time
on Atomic Force Microscopy (AFM). Half
of the course will involve hands-on practical work
at the AFM Lab at SUNUM. Students will finish the
course with detailed analysis of their
own specimen using AFM.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2011-2012 |
Introduction to Scanning Probe Microscopy |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 525 Mathematical Methods for Scientists and Engineers I |
3 Credits |
|
Analytic functions of a complex variable: Cauchy-Riemann
equations, conformal mappings, integration, Cauchy theorem,
Taylor and Laurent series, residues, contour evaluation of
definite integrals. Linear vector spaces: Inner products,
linear operators, eigenvalue problems, functions of
operators and matrices, Fourier transforms, Hilbert spaces,
Sturm-Liouville theory, classical orthogonal polynomials,
Fourier series, Bessel functions.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2022-2023 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2020-2021 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2018-2019 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2017-2018 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2014-2015 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2013-2014 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2011-2012 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2010-2011 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2009-2010 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Spring 2008-2009 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2007-2008 |
Mathematical Methods for Scientists and Engineers I |
3 |
| Fall 2006-2007 |
Mathematical Methods for Scientists and Engineers I |
3 |
|
| Prerequisite: __ |
| Corequisite: |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 526 Mathematical Methods for Scientists and Engineers II |
3 Credits |
|
First and second order ODE's, series solutions,
second-order self-adjoint operators. Second order PDE's,
multidimensional Fourier transformations, Green's
functions and their eigenfunction expansions, curl,
divergence and the Laplacian in curvilinear coordinates,
separation of variables, spherical Bessel functions
and spherical harmonics, solution of boundary
value problems. <>Calculus of variations and
variational methods. Integral equations and their
kernels, Schmidt-Hilbert theory.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2014-2015 |
Mathematical Methods for Scientists and Engineers II |
3 |
| Spring 2013-2014 |
Mathematical Methods for Scientists and Engineers II |
3 |
| Spring 2011-2012 |
Mathematical Methods for Scientists and Engineers II |
3 |
| Spring 2009-2010 |
Mathematical Methods for Scientists and Engineers II |
3 |
|
| Prerequisite: __ |
| Corequisite: |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 5803 Special Topics in FENS: Nanobiotechnology |
3 Credits |
|
The aim of this course is to introduce general concepts of
biotechnology, nanotechnology, nanomaterials
(carbon-based, fluorescence-based and plasmon-based
nanomaterials), surface bio-modification techniques
and characterization of bio-modified nanomaterials.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Special Topics in FENS: Nanobiotechnology |
3 |
| Spring 2020-2021 |
Special Topics in FENS: Nanobiotechnology |
3 |
| Spring 2019-2020 |
Special Topics in FENS: Nanobiotechnology |
3 |
| Spring 2018-2019 |
Special Topics in FENS: Nanobiotechnology |
3 |
|
| Prerequisite: __ |
| Corequisite: ENS 5803L |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 5803L Special Topics in FENS: Nanobiotechnology Lab. |
0 Credit |
|
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2020-2021 |
Special Topics in FENS: Nanobiotechnology Lab. |
0 |
| Spring 2018-2019 |
Special Topics in FENS: Nanobiotechnology Lab. |
0 |
|
| Prerequisite: __ |
| Corequisite: ENS 5803 |
| ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| ENS 596 Industrial Research |
3 Credits |
|
A project is carried out in conjunction with an industrial
company leading to distinct deliverables such as a working
paper or conference paper as specified by the instructor at
the beginning of the course.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2010-2011 |
Industrial Research |
3 |
| Spring 2009-2010 |
Industrial Research |
3 |
| Spring 2008-2009 |
Industrial Research |
3 |
| Summer 2007-2008 |
Industrial Research |
3 |
| Spring 2007-2008 |
Industrial Research |
3 |
| Spring 2006-2007 |
Industrial Research |
3 |
| Spring 2005-2006 |
Industrial Research |
3 |
| Spring 2004-2005 |
Industrial Research |
3 |
| Spring 2003-2004 |
Industrial Research |
3 |
| Spring 2002-2003 |
Industrial Research |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
