CP5805 - Programming and Data Analytics using Python
|Student Contribution Band:
||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).
- 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.
||6CP OF POSTGRADUATE SUBJECTS
Study Period 83
|Census Date 16-May-2019
The student workload for this
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
||quizzes or tests (20%); assignments (60%); computational laboratories/log book (20%).
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