Course title
Application of Computers in Engineering
Course code
FESC07
Type of course
Lecture / Course Exercises
Obligatory
Level of course
Intermediate level course
Year of study
2
ECTS
(Number of
credits
allocated)
ECTS credits: 5
Lectures: 30 hours
Excercises: 30 h
Mid-term exams: 30
Preparation for exam: 60 h
Name of lecturer
dr.sc. Damir Vučina, professor
Learning
outcomes and
competences
Acquiring theoretical and applied knowledge in:
Introduction to computers, Basics of programming, C-language and Matlab
programming, Basic methods in applied numerical analysis, Application of
methods of numerical analysis in solving engineering problems
Prerequisites
Basic introductory-level theoretical background and skills in engineering.
Course contents
Recommended
reading
Semester/trimestar
3

-Introduction to computers. Basic terms related to numerical methods and
analysis, basic algorithms.
 -Basics of binary algebra, elementary circuits for logic functions, basic
structure of computers.
 -C-language programming.
 -Using and developing programs in MatLab.
 -Basic numerical methods and examples of application in engineering
problems (mechanics, etc.)
o solving linear systems
o solving nonlinear equations and systems
o interpolation by polinomials and piecewise polinomials
o approximation using polinomials
o numerical differentiation and integration
o solving differential equations
 - Examples of setting up physical and mathematical models for different
engineering problems. Development of corresponding algorithms and
computer programs in C-language and MatLab.
Problems are solved by setting-up programs in C and Matlab.
1. D. Vučina, ‘Aplication of computers in engineering analysis’, FESB 2007,
in Croatian
2.
3.
S. C. Chapra, R.P. Canale, "Numerical Methods for Engineers", McGraw-Hill
2006
W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, "Numerical
Recipes", Cambridge University Press, 1992
Supplementary
reading
1.
S. C. Chapra, "Applied Numerical Methods with MATLAB for Engineers
and Scientists", McGraw-Hill 2005
2. W. Cheney, D. R. Kincade, "Numerical Mathematics and Computing",
Brooks/Cole Publishing, 1980
3. G. Lindfield, J. Penny, "Numerical Methods using Matlab", Ellis Horwood
1995
Teaching
methods
Lectures / Course exercises / Practical lab. excercises
Assessment
methods
Written exam or three mid-term exams replacing written exam.
Oral exam.
Language of
instruction
Croatian
English
Quality
assurance
methods
Student feedback via questionnaries and surveys
Course title
Multimedia systems
Course code
FELP12
Lecture / Exercise Course
Obligatory / Elective
Specialised level course
Type of course
Level of course
Year of study
Semester/trimestar
ECTS
(Number of
credits allocated)
5 ECTS (30 hours lecture + 30 hours exercise course + 90 hours studying)
Name of lecturer
Hrvoje Dujmić
Learning
outcomes and
competences
Prerequisites
Course contents
Recommended
reading
Supplementary
reading
Teaching methods
Assessment
methods
Language of
instruction
Quality assurance
methods
Basic theoretic knowledge in multimedia systems and virtual reality systems which
includes characteristics of speech, audio, image and video signals (including 3D
images and video). Theoretical foundation of efficient compression of above
mentioned signals. Practical knowledge which includes algorithms for compression
of the above mentioned signals.
First year undergraduate.
History of multimedia systems; Media (text, images/graphics, audio/speech,
animation/video, interaction); Multimedia authoring tools; Multimedia application
design; Multimedia applications; Computer/Human Multimedia communications;
Analog/Digital conversion; Sampling frequency; Audio and speech signal
characteristics; Speech and audio formats (wav, mod, mp3, aif, ...); Audio and
speech compression; Speech specific algorithms (LPC, CELP, coding in mobile
telephony); Audio specific algorithms (mp3); Basic color theory; Color models;
Image signal characteristics; Image formats (gif, tiff, jpg, bmp, ...); Image
compression (JPEG, Wavelets); TV and video signals characteristics; Video signal
formats (mpg, avi, asf, ...); Video compression (H.261, H.263, H.26L, MPEG 1,
MPEG 2, MPEG 4): Basic of virtual reality systems (3D images, 3D video, 3D
audio), Multimedia network communications
1. Hrvoje Dujmić: "Multimedia systems and Virtual reality systems", FESB Split,
interna skripta
Rao, Bojkovic, Milovanovic: "Multimedia Communication Systems: Techniques,
Standards and Networks", Prentice Hall, 2002
1. Steinmetz, Nahrstedt: "Multimedia Fundamentals: Media Coding and Content
Processing", Prentice Hall, 2002
2. IEEE Transaction on Multimedia
IEEE Multimedia Magazine
Lectures / Exercise course
Advisory hours
Continuous assessment (diagnostic tests)
Alternatively: written exam
Croatian
English
Student feedback via questionnaires and surveys
Lectures responsible for the same subject area collaborate closely and monitor each
other's work.
Occasional class observations and appraisal by Head of Department.