FI2BCP275 Exam Project 2
FI2BCP275 Exam Project 2
- Course description
- Course CodeFI2BCP275
- Level of Study5.2
- Program of StudyData Analyst 2
- Credits7.5
- Study Plan CoordinatorBertram Haskins, Alec Du Plessis
This major project reflects the competence the candidates have acquired during the academic year. The candidate must solve the assignment independently or as a group from a practical problem. The candidate is responsible for all aspects of the project. Alternative case projects will be presented by the academic staff. The course builds on competence from all courses during the academic year.
The course aims to provide candidates with the ability to make independent choices and deliver a comprehensive product from start to finish with professional standards, deadline compliance and focus on efficient workflows. The candidate must demonstrate their ability to make reasonable and efficient choices through software tools and detailed documentation and communicate with professional terminology and expressions during a project. The project work is independent, and the project scope is set with guidance from the academic staff and industry.
The candidate:
- can assess own work in relation to industry-relevant data analysis standards and quality requirements for project preparation, presentation and delivery
- is familiar with the distinctive nature and place in the society of the data analysis discipline
- has insight into own opportunities for development in planning and carry out data analysis projects in accordance with industry-relevant standards
The candidate:
- can explain vocational choices of concepts, theories and tools that are used in a data analysis project
- can reflect on own data analysis project and identify possible data errors or issues and adjust it to meet the quality requirements
- can find and refer to industry-relevant information and vocational material and assess its relevance to a data analysis project
The candidate:
- can plan and carry out data analysis projects on a given project brief alone or as part of a group and in accordance with the current ethical requirements and principles
- can exchange points of view and build relations with their peers also across disciplines, project owners, participants and other interaction designers and participate in discussions about the development of best practices within data analysis
Digital Learning Resources
The learning management system (LMS) is the primary learning platform where students access most of their course materials. The content is presented in various formats, such as text, images, models, videos or podcasts. Each course follows a progression plan, designed to lead students through weekly modules at their own pace. Exercises and assignments (individual or in groups) are embedded throughout the courses to support continuous practice and assessment of the learning outcomes.
Campus Resources
In addition to the digital learning resources, campus students participate in physical learning activities led by teachers as part of the overall delivery.
Guidance
Guidance and feedback from teachers support students' learning journeys, and may be provided synchronously or asynchronously, individually or in groups, via text, video or in-person feedback.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Exam Project | Grade A-F | Individual | 6 Week(s) |