Information on individual educational components (ECTS-Course descriptions) per semester

  
Degree programme:Bachelor International Business Administration Part-time
Type of degree:FH BachelorĀ“s Degree Programme
 Part-time
 Summer Semester 2023
  

Course unit titleBig Data
Course unit code025007045004
Language of instructionEnglish
Type of course unit (compulsory, optional)Elective
Semester when the course unit is deliveredSummer Semester 2023
Teaching hours per week1
Year of study2023
Level of course unit (e.g. first, second or third cycle)First Cycle (Bachelor)
Number of ECTS credits allocated2
Name of lecturer(s)Eric KYPER


Prerequisites and co-requisites

Business students in their second or third year of studies

Course content

This course covers the rise of big data and the role it plays in industry and society. Topics will include data mining, the data advantage, backup needs, security, and societal issues related to large scale data collection and analysis. We will primarily focus on managerial implications of trends in corporate computing.

Learning outcomes

Understand the primary goals of Big Data in industry Identify general process of data mining Identify common threats to corporate security Identify common business continuity and backup plans to deal with loss of data Conduct a cost/benefit analysis of big data systems

Planned learning activities and teaching methods

(a) Articles and other materials will be assigned for reading prior to class (b) Lectures, group discussions and case studies will be used in class (c) Articles will be assigned during class for use in the final exam

Assessment methods and criteria

Team work report

Comment

Not applicable

Recommended or required reading

Pre-Course readings: Bhasin, M. L. (2006). Data Mining: A Competitive Tool in the Banking and Retail Industries. The Chartered Accountant, 588-594. Bialik, C. (2013, March 1). Data Crunchers Now the Cools Kids on Campus. The Wall Street Journal. Seifert, J. W. (2008). Data Mining and Homeland Security: An Overview. CRS Report for Congress. Stein, J. (2011, March 10). Data Mining: How Companies Now Know Everything About You. TIME.

Mode of delivery (face-to-face, distance learning)

Face-to-face

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