BSc:BusinessAnalytics

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Business Analytics

  • Course name: Business Analytics
  • Course number: XYZ
  • Knowledge area: xxx

Administrative details

  • Faculty: Computer Science and Engineering
  • Year of instruction: 4th year of BS
  • Semester of instruction: 1st semester
  • No. of Credits: 4 ECTS
  • Total workload on average: 144 hours overall
  • Class lecture hours: 2 per week
  • Class tutorial hours: 2 per week
  • Lab hours: 2 per week
  • Individual lab hours: 0
  • Frequency: weekly throughout the semester
  • Grading mode: letters: A, B, C, D

Prerequisites

  • Introduction to Programming I
  • Introduction to Programming II
  • Probability and Statistics
  • Data Mining

Course outline

In this course, students will learn about using data about customers and markets in business decision-making. They will learn to identify, evaluate, and capture business analytic opportunities that create value. Toward this end, students will learn how to gather, analyze, and interpret data about markets and customers. They will also explore the challenges that can arise in implementing analytical approaches within an organization.

Expected learning outcomes

  • Understanding of how decision-makers use business analytics to formulate and solve business problems
  • Understanding and applying the appropriate tools for the the analysis of quantitative and qualitative data
  • Fluency with the use of software packages for data analysis
  • Understanding data gathering
  • Analyzing and interpreting outputs (graphs, tables, mathematical models, etc.)
  • Understanding how to collect data and report results objectively

Expected acquired core competences

  • Data Mining and data management techniques
  • Data Visualization
  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Decision Analytics

Textbook

Reference material

  • Lecturing and lab slides and material will be provided
  • Several resources are available online and will be pointed during the course

Required computer resources

Students should have laptops.

Evaluation

  • Assignments and project (30%)
  • Mid-term Exam (30 %)
  • Written Final (40%)