Industrial Project

Course code MATH3850Units 10Level 3000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

This course provides students with firsthand experience at solving real-world problems in a team environment. Student teams will be asked to solve a problem faced by a company or not-for-profit organization and to exploit all their knowledge and skills in order to develop a satisfactory solution for the problem. The course provides students with a challenge similar to the ones faced by practitioners in industry and requires creative thinking and application of mathematical skills to develop a satisfactory solution. The course concludes with presentation of an analysis of the problem and the proposed solution. Students will be mentored and guided by course lecturers throughout the semester.

Available in 2015

Callaghan CampusSemester 1
Previously offered in 2014
ObjectivesAt the successful completion of this course, students will:
1. Have developed skills to scope, structure, and deliver on projects;
2. Have been able to approach real world business problems with quantitative techniques;
3. Have learned to communicate, verbally and orally, to project stakeholders; and
4. Have been exposed to the realities of business processes and decision making.
ContentStudents will be supported to identify an unstructured business problem and will be asked to propose a solution to that business problem. To be able to do so, students will have to:
- familiarize themselves with the problem and produce a detailed problem statement
- scope a project to address key aspects of the problem, and prepare a project proposal
- gather and analyse data relevant to the problem (statistical analysis)
- investigate whether the problem or similar problems have been addressed before (literature search)
- formulate an appropriate model (mathematical modelling)
- develop a solution approach to solve the model (algorithm development)
- conduct a computational study, interpret the results, and draw conclusions
- prepare a final report on their results.
The course will include provision of material on principles and practices of mathematical consulting, on working in teams, on preparation of reports, and presentation of quantitative studies. The course will not be delivered in lecture format, but via direct supervision of student teams.
Replacing Course(s)NA
TransitionNA
Industrial Experience0
Assumed KnowledgeSuccessful completion of at least 4 mathematics or statistics courses at 2000/3000 level, at least 2 of which must be at 3000 level.
Modes of DeliveryInternal Mode
Teaching MethodsCase Study
Lecture
Integrated Learning
Assessment Items
Presentations - ClassStudents will be assessed on presentation content and delivery.
ReportsStudents will be assessed on the quality of their problem statement, their scope and project plan, their literature review, their data analysis, their mathematical model, their solution approach, their computational study, and their conclusions.
Contact HoursCase Study: for 3 hour(s) per Week for Full Term
Timetables2015 Course Timetables for MATH3850