Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course EDA025F valid from Autumn 2015

Printable view

  • English
  • If sufficient demand
  • This course will teach the doctoral students how to analyze and design programs for big data. It will provide knowledge on big data architectures, languages, and ecosystems with a focus on Spark. The techniques presented in the course are expected to have high impacts in a variety of fields such as data analysis, customer recommendation, trend prediction, pattern recognition, etc.
  • The course consists of four full-day sessions that will address:
    1/ Cloud architectures, Spark concepts, and Spark programming.
    2/ Intermediate and advanced Spark.
    3/ Supervised machine-learning with Spark: MLlib and MLlib programming.
    4/ Unsupervised machine learning.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • show a knowledge of the architectures for big data processing.
    show understanding of the structure of big data programming models and ecosystems
Competences and Skills
  • For a passing grade the doctoral student must
  • show her/his capability to operate big data architectures and design and write programs using Spark.
Judgement and Approach
  • For a passing grade the doctoral student must
  • show the ability to select and assess architectures and algorithms for big data problems.
Types of Instruction
  • Lectures
  • Laboratory exercises
  • Exercises
  • Project
Examination Formats
  • Written assignments
  • The assessment will consist of programs and reports to hand in
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • Good programming skills in Java, Scala, or Python. Knowledge of statistics
Selection Criteria
  • Karau, A., Wendell, P. & Zaharia, M.: Learning Spark. O'Reilly Media, Inc, 2015. ISBN 9781449358624.
    Karau, H., Konwinski, A., Wendell, P. & Zaharia, M.: Learning Spark. 2015. ISBN 9781449358624.
Further Information
Course code
  • EDA025F
Administrative Information
  •  -09-08
  • FN1/Anders Gustafsson

All Published Course Occasions for the Course Syllabus

1 course occasion.

Start Date End Date Published
2015‑09‑07 (approximate) 2015‑10‑30

Printable view