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) |
Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. |
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2) |
Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. |
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3) |
Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective. |
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4) |
Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively. |
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5) |
Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering. |
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6) |
Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. |
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7) |
Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions. |
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8) |
Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. |
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9) |
Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications. |
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10) |
Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. |
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12) |
Develop effective and efficient managerial skills. |
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