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) |
Be able to specify functional and non-functional attributes of software projects, processes and products. |
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2) |
Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems. |
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3) |
Be able to develop a complex software system with in terms of code development, verification, testing and debugging. |
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4) |
Be able to verify software by testing its program behavior through expected results for a complex engineering problem. |
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5) |
Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation. |
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6) |
Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically. |
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7) |
Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams. |
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8) |
Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems. |
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9) |
Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system. |
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10) |
Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities. |
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11) |
Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life. |
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12) |
Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions. |
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13) |
Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions. |
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