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CP5805 - Programming and Data Analytics using Python

Credit points: 3
Year: 2019
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

In this subject students are introduced to fundamental principles and practices of computer programming in Python. Students learn and use problem-solving and software development techniques including planning, prototyping, version control, testing and debugging. Students will develop procedural and object-oriented programs with console and graphical user interfaces. Students will research and learn about developments in the field of programming languages and environments over recent times. Students will also apply basic data visualisation with Python (Python visualisation libraries) and notions of data analysis with Python (e.g. Scikit-learn and Pandas libraries).

Learning Outcomes

  • apply fundamental application development skills in a modern programming environment;
  • develop and utilise best-practice coding techniques;
  • adopt self-learning with modern support resources;
  • understand and apply Python libraries to problems in data science.
Prerequisites: 6CP OF POSTGRADUATE SUBJECTS

Availabilities

JCU Online, External, Study Period 83
Census Date 16-May-2019
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 65 hours - Online resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study
Method of Delivery: Online - JCU
Assessment: quizzes or tests (20%); assignments (60%); computational laboratories/log book (20%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.