Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN |
Course Lecturer(s): |
Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN
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Recommended Optional Program Components: |
None |
Course Objectives: |
This course teaches fundamental topics related to multimedia systems and analysis. A top-down analysis of video processing applications, algorithms, tools, and fundamentals. Applications include digital TV, computer games, cinema special effects, 3D TV, medical imaging, and forensics. Algorithms include motion estimation, filtering and restoration, de-interlacing and enhancement, interpolation and super-resolution, stereo and 3D video processing, coding, and compression standards. |
Week |
Subject |
Related Preparation |
1) |
Introduction to Multimedia Systems |
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2) |
Introduction to Digital Images, Image Formats, Image Transformations |
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3) |
Histograms, Normalization |
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4) |
Convolution, Image Filtering Techniques |
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5) |
Morphological Operations |
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6) |
Blob Extraction, Blob Tracking |
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7) |
Segmentation |
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8) |
Image Features, Extraction and Modeling |
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9) |
Introduction to Information Theory and Coding |
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10) |
Image and Video Compression Techniques |
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11) |
Basics of Computer Networks |
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12) |
Image and Video Transmission |
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13) |
Image and Video Classification |
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14) |
Fundamentals of Big Data and Cloud Computing |
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Program Outcomes |
Level of Contribution |
1) |
Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. |
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2) |
Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. |
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3) |
Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives |
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4) |
Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). |
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5) |
Employ ethical sensitivity while doing assessment, research or working with groups. |
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6) |
Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological). |
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7) |
Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. |
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8) |
Attain preliminary knowledge for psychological measurement and evaluation. |
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9) |
To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process. |
3 |