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CP5639 - Problem Solving and Programming I

Credit points: 3
Year: 2020
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

In this subject students will develop analytical skills and problem solving techniques to develop solutions and/or decision-making competence. Students will learn the principles of data-driven problem solving using techniques including decomposition, flowcharts and algorithm design. In this subject, basic programming using Python with Microsoft Excel will be introduced. This subject forms a foundation for further programming subjects.

Learning Outcomes

  • describe problem-solving techniques in the IT context;
  • define basic programming concepts;
  • apply problem solving and visualisation techniques in Microsoft Excel basics for decision support;
  • demonstrate basic knowledge of programming using Python with Microsoft Excel;
  • apply coding best practices in order to improve code quality.

Subject Assessment

  • presentations (20%)
  • tutorial attendance and participation (30%)
  • assignments (25%)
  • assignments (25%).
Assumed
Knowledge:
AQF Level 7
Inadmissible
Subject
Combinations:
CP1401 CP1801 CP1200 CP2200

Availabilities

Townsville, Internal, Study Period 1
Census Date 26-Mar-2020
Workload expectations:

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

  • 26 hours lectures
  • 24 hours practicals
  • 6 hours workshops/Seminars
  • assessment and self-directed study

Townsville, Internal, Study Period 2
Census Date 27-Aug-2020
Workload expectations:

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

  • 26 hours lectures
  • 24 hours practicals
  • 6 hours workshops/Seminars
  • assessment and self-directed study

JCU Singapore, Internal, Study Period 52
Census Date 06-Aug-2020
Workload expectations:

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

  • 56 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
  • assessment and self-directed study

JCU Singapore, Internal, Study Period 53
Census Date 03-Dec-2020
Workload expectations:

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

  • 56 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
  • assessment and self-directed study

JCU Singapore, Internal, Study Period 51
Census Date 09-Apr-2020
Workload expectations:

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

  • 56 hours - Combined Lectures; Tutorials/Workshops/ Practicals; Lecturer directed activities
  • assessment and self-directed study

JCU Brisbane, Internal, Study Period 21
Census Date 09-Apr-2020
Workload expectations:

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

  • 26 hours lectures
  • 24 hours practicals
  • 6 hours workshops/Seminars
  • assessment and self-directed study

JCU Brisbane, Internal, Study Period 22
Census Date 06-Aug-2020
Workload expectations:

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

  • 26 hours lectures
  • 24 hours practicals
  • 6 hours workshops/Seminars
  • assessment and self-directed study

JCU Brisbane, Internal, Study Period 23
Census Date 03-Dec-2020
Workload expectations:

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

  • 26 hours lectures
  • 24 hours practicals
  • 6 hours workshops/Seminars
  • assessment and self-directed study

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.