COURSE UNIT TITLE

: IMAGING, ART AND MUSEUMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ETE 3044 IMAGING, ART AND MUSEUMS ELECTIVE 2 0 0 4

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR MUSTAFA ALPER SELVER

Offered to

Electrical and Electronics Engineering (English)
Textile Engineering
Mechanical Engineering
Mechanical Engineering (Evening)
Computer Engineering (English)
Metallurgical and Materials Engineering

Course Objective

The subject of the course is the introduction rigorous imaging, image processing, computer vision, pattern recognition, machine learning and artificial intelligence approaches in the light of to history, museums and interpretation of fine art.

Learning Outcomes of the Course Unit

1   Understanding digital image concept and Pixel as its unit element. Discussing the effects of pixel size, value and other factors that affect the representation of the real objects in digital images. Understanding Spatial Resolution. Discussing the trade-off between obtaining details of a scene and achieving a fast acquisition time. Understanding the concep of contrast, noise and bit depth in imaging
2   Understand the fundamentals of color and the color spectrum. Be familiar with several of the color models used in imaging and digital image processing.
3   Understand the meaning of frequency domain and how it differs from image domain. Be familiar with the concepts of sampling, function reconstruction, and aliasing.
4   Getting knwoledge about museums, their foundations, and importance on understanding the importance of imaging.
5   Understand the definition and scope of digital imaging. Be aware of the different art fields in which digital imaging is used

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: Sparse and Brief Histories of Imaging, Art & Museums
2 Digital Imaging: A new era for seeing and experiencing the universe
3 Color & Vision & Perception
4 Abstraction and Impulses, Minimalism and Frequency
5 Image Generation: Acquisition Devices & Artists
6 Masks, Filters and Convolution
7 Waves and Wavelets: In between Space and Frequency
8 Morphology: Shape, Geometry and Sculpture
9 Textures, Textiles and Decorative Arts
10 Restoration and Reconstruction: Revealing the unseen
11 Artificial Intelligence, Imaging and Art
12 Perspective, Visualization, Virtual Reality and Augmented Reality in Art and Imaging
13 Repeatability vs. Creativity: Same Application Different Results
14 A Concise Summary of Imaging Art and Museums

Recomended or Required Reading

1. Pixels & Paintings: Foundations of Computer-assisted Connoisseurship Author: David G. Stork Year: 2024 | ISBN: 978-0470229446 | 786 Pages

2. Digital Image Processing, 4th Edt., Rafael C. Gonzalez, Richard E. Woods Year: 2018 ISBN: 9780133356724 Pearson Pub.
https://www.imageprocessingplace.com/

3. Gardner s Art through the Ages: A Global History Author(s): Fred S. Kleiner Publisher: Cengage Learning, Year: 2009
ISBN: 0495093076,9780495093077
https://library.lol/main/164AFC1E3DCFD4B570143E26DD313479

4. International Journal for Digital Art History Editor(s): Dr. Harald Klinke, Liska Surkemper Publisher: Graphentis Verlag e.K., Munich, Germany, Issue 1/2015, June 2015 ISSN: 2363-5401 (online), ISSN: 2363-5398 (print) https://dahj.org/

Planned Learning Activities and Teaching Methods

Two one-hour lectures per week
One optional one-hour online "office hour" (to answer student questions, help choose projects, prepare for exam, etc.)

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 QUZ QUIZ
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE QUZ * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) QUZ * 0.50 + FIN * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Weekly quizzes 50% of overall grade
Examination modalities: 15-minutes "in-class" written
Final exam: 50% of overall grade
Examination modalities: Two-hour "in-class" final exam

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. M. Alper Selver
alper.selver@deu.edu.tr

Office Hours

Half an hour right after the lectures

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for final exam 1 14 14
Preparation for quiz etc. 14 1 14
Final 1 2 2
Quiz etc. 14 1 14
TOTAL WORKLOAD (hours) 100

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.111111
LO.211111
LO.311111
LO.443421
LO.532321

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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