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TR

DATA MINING

Course
ITEC426 - DATA MINING
Department
Information Technologies - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

Data mining has emerged as one of the most exciting fields in Computer Science because of the growth of computerized data collections, which become more and more available in our modern digitalized world. Data mining have roots in the fields of artificial intelligence, machine learning (including classification, prediction, and clustering), statistical data analysis, data visualization and information retrieval. By completion of this course, students learn about different data mining methods such as classification, rule-based learning, decision trees and association rules. Students also learn about data selection and cleaning, machine learning techniques to “learn” about the “hidden” patterns in data, and the reporting and visualization of the resulting knowledge.

DATA MINING

Evaluation Tools (Active Term)

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Course outcomes

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Course Syllabus

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Reference Books & Course Materials

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Learning Outcomes

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Program Outcomes

  1. P01 Create a user interface in a contemporary object-oriented language to allow users to access business data
  2. P02 Identify and analyze user needs and take them into account in the selection, creation, integration, evaluation and administration of computing-based systems
  3. P03 Analyze common business functions and identify, design, and develop appropriate information technology solutions
  4. P04 Design and develop software solutions for contemporary business environments by employing appropriate problem-solving strategies
  5. P05 Configure and administer database server to support contemporary business environments.
  6. P06 Administer or mange a relational database for a small to medium size company
  7. P07 Be able to effectively integrate IT-based solutions into the user environment
  8. P08 Understand professional, ethical, legal, security and social issues and responsibilities
  9. P09 Be able to apply effective communication skills consistent with the professional environment
  10. P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment

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