MCF8114 Data Mining and Big Data Analysis

Course Unit Title

MCF8114 Data Mining and Big Data Analysis

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Course Unit Description

Data Mining and Big Data Analysis introduces students to the practical fundamentals and emerging paradigms of data mining and machine learning with enough theory to aid intuition building. The course is project oriented and also introduces theories, concepts, contexts and algorithms. Students should expect to leave the class with hands-on, contemporary data mining skills they can confidently apply in research and industry.

Course Objectives

The goal of this course is to introduce the main ideas, fundamental concepts, and key algorithms in the fields of artificial intelligence, data mining, and big data analysis. The course will prepare students to adapt to the big data era, to facilitate them to conduct research in data science, and to be able to apply the introduced algorithms in their own research areas.

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

  • Demonstrate capabilities in a range of data mining techniques
  • Solve problems in data mining research and practice
  • Think critically about how to assess analytics
  • Use data mining and analytics in a domain of application