| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 1 | ECE518 | FUNDAMENTALS OF BIG DATA ANALYTICS | 3+0+0 | 3 | 7,5 |
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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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ELECTRICAL AND COMPUTER ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Gain an understanding of mathematical background of data mining
Learn the techniques used for solving problems involving very large datasets
Gain practice by completing programming assignments
Apply the concepts to a real problem by completing a course project
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Course Content
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This course provides an introduction to big data analytics. It covers fundamental mathematical background of data mining and machine learning applications. The course also provides applications of graph mining tasks such as PageRank, etc. Methods will be implemented by a software and applied on various machine learning and data mining problems
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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None
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
ECTS Allocated Based on Student Workload
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Weekly Detailed Course Contents
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77719&lang=en