BMGT3014S Project Analytics

Academic Year 2023/2024

The Project Analytics module focuses on the study of management of uncertainty on the projects. Students develop knowledge on how to use analytical techniques to monitor and control the uncertainty as well as to estimate project schedule and cost more accurately with analytics-driven prediction.

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Curricular information is subject to change

Learning Outcomes:

By the end of this module, students will be able to:
Explain and apply mathematical models to decision making.
Use Mathematical Models to aid management decision making. Discuss the range of problems from business and industry that can be formulated as simple mathematical models and
be able to formulate as mathematical a wide range of real life problems.

Student Effort Type Hours
Lectures

20

Specified Learning Activities

85

Autonomous Student Learning

102

Total

207

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Examination 2 hour End of Trimester Exam No Graded No

60

Assignment: Main Assignment Varies over the Trimester n/a Graded No

40


Carry forward of passed components
No
 
Remediation Type Remediation Timing
Repeat Within Two Trimesters
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

General feedback is provided to students on all their submitted assessment components.

Name Role
Dr George Onofrei Lecturer / Co-Lecturer
Dr Christina Burke Tutor
Mr Roberto Chavez Tutor
Ms Michele Connolly Doran Tutor
Mrs Edna Eugenia Da Silva Tutor
Jonas Lee Tutor
Rachel Sim Tutor
Chee Shong Tan Tutor
Charlene Tan Puay Koon Tutor
Dr Virpi Turkulainen Tutor
Professor Frank Wiengarten Tutor
Siti Zarifah Tutor

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