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
- -
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
- P01 Be able to apply knowledge of programming
- P02 Be able to design software systems of varying complexity
- P03 Be able to identify, categorize, and develop solutions for computer orientated challenges.
- P04 Be able to demonstrate autonomy and responsibility in managing computer programming projects
- P05 Be able to follow the state of the arts concepts in computer technology
- P06 Be able to design, implement, and evaluate a computational system to meet desired needs within realistic constraints.
- P07 Be able to use appropriate techniques, skills, and tools necessary for computing practice.
- P08 Be able to apply appropriate technologies and techniques for the collection and analysis of organizational and environmental data to facilitate evidence-based decision making
- P09 Be able to apply effective communication skills consistent with the professional environment -
- P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment -
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