FM1AZPL05 Problem Based Learning

FM1AZPL05 Problem Based Learning

  • Course description
    • Course code
      FM1AZPL05
    • Level of study
      5.1
    • Program of study
      Applied Machine Learning
    • Credits
      5
    • Course coordinator
      Leon Grobbelaar
Teaching term(s)
2024 Autumn
About the Course

The course introduces candidates to analysis and breaking up a problem into smaller and manageable pieces, in addition to working with a project from a preliminary investigation and planning stage to implementation, report writing and presentation. The course covers different study techniques to ensure that candidates get the most out of the course and how to write reports and present the content. The course also covers different planning types for projects, process models and ways of moving forward.

It is vital that the students are taught how to run a project, including time management, processes, goals etc., finding information for different themes, learning to access the reliability of the information and documenting the findings in a report. Project management and report writing are also essential in working life, especially when linked to jobs to do with data-driven projects.

Course Learning Outcomes
Learning outcomes - Knowledge

The candidate: 

  • has knowledge of methods, processes and tools that are used for critical thinking and problem-solving
  • has knowledge of processes and tools that are used to write structured reports
  • has insight into relevant regulations and standards for documenting project work
  • can update his/her knowledge of research methodologies and sourcing
     
Learning outcomes - Skills

The candidate: 

  • can apply knowledge of problem-solving and breaking issues into smaller practical components
  • masters relevant tools and techniques to manage projects 
  • can find information and material relevant to reporting and presenting a project
  • can study a situation and/or problem and identify issues in a project and measures to be implemented
     
General Competence

The candidate: 

  • understands the principles that apply during problem-solving and project work
  • can build relations with his/her peers and external target groups to discuss and present findings
     
Teaching and Learning

In this course, the following teaching and learning methods can be applied, but are not limited to:

  • Lecture: Educator-led presentations or activities providing knowledge, skills, or general competencies in the subject area.
  • Group work: Collaborative activities where students work together to solve problems or complete tasks.
  • Tutoring: One-on-one or small group sessions with an instructor for personalized guidance and support.
  • Student presentations: Opportunities for students to demonstrate their understanding of course material by presenting to peers.
  • Online lessons: Digital content delivered via an online learning platform.
  • Guidance: Individualized advice and direction from instructors to support students in their learning journey.
  • Workshops: Practical sessions focused on hands-on application of theoretical concepts or skills.
  • Self-study: Independent study where students engage with course material on their own without any teacher support.
Reading list

Teaching materials, reading lists, and essential resources will be shared in the learning platform and software user manuals where applicable.

Assessments
Form of assessmentGrading scaleGroupingDuration of assessment
Course Assignment
Pass / Fail
Group/Individual
3 Week(s)