| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 1 | ECE564 | MACHINE LEARNING IN PYTHON | 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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Develop knowledge for the fundamentals of machine learning
Develop knowledge for the machine learning models, the problem domains they are used for, and their practical aspects
Develop skills for implementing machine learning models using libraries of Python
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Course Content
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This course introduces machine learning using Python programming language. It covers data preprocessing, visualization, classification, regression, model training, evaluation and fine-tuning. Students will get hands-on practical knowledge implementing machine learning models and applying them to various learning 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=77887&lang=en