Create a plan of a course. The academic subject for which the text must be created - Computer science. It should be for students studying at...
Plan of a courseCreate a plan of a course
Which subjectComputer science
What age groupAdult courses
What topicData mining
Number of lessons30
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Course Goal

The goal of this course is to introduce students to the concepts and techniques of data mining, and how they can be used to extract meaningful insights from large amounts of data.

Course Aims

By the end of this course, students should be able to:

Module 1: Introduction to Data Mining (3 lessons)

Module 2: Data Mining Techniques (6 lessons)

Module 3: Data Mining Tools and Applications (6 lessons)

Module 4: Evaluation and Visualization (3 lessons)

Module 5: Case Studies and Practical Applications (12 lessons)

Conclusion (3 lessons)

This course will be delivered over a period of 30 lessons, with each lesson consisting of a combination of lectures, workshops, and group activities. Students will be assessed through a combination of individual assignments and a group project, which will be presented to the class. By the end of this course, students will have gained a solid foundation in data mining techniques and be equipped with the skills to analyze and extract insights from large datasets.