Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
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Course Coordinator : |
Assoc. Prof. SAEID KARAMZADEH |
Course Lecturer(s): |
Assoc. Prof. ALKAN SOYSAL
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Recommended Optional Program Components: |
none.......... |
Course Objectives: |
The aim of this course is to understand, in detail, basic information theory and coding theory arguments. Information theoretic analysis covers entropy/mutual information, source and channel coding. Coding theory analysis covers code construction, linear codes, cyclic and convolutional codes, near capacity codes. |
Week |
Subject |
Related Preparation |
1) |
Introduction to basic concepts of information transfer |
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2) |
Define concepts of entropy, relative entropy, conditional entropy |
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3) |
Definition of mutual information and its calculation for different scenarios. |
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4) |
Source coding theorem |
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5) |
Applications of source coding theorem: Shannon codes, Huffman codes |
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6) |
Channel coding theorem |
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7) |
Differential entropy |
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8) |
Capacity calculations for different channel models. Midterm |
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9) |
The Gaussian channel and its capacity |
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10) |
Basics of code construction, Error detection and correction |
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11) |
Linear block codes |
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12) |
Cyclic codes |
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13) |
Convolutional codes |
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14) |
Near capacity codes |
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Program Outcomes |
Level of Contribution |
1) |
Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. |
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2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. |
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3) |
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) |
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4) |
Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. |
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5) |
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. |
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6) |
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. |
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7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. |
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8) |
Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. |
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9) |
Awareness of professional and ethical responsibility. |
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10) |
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
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