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BMGT3014S

Academic Year 2024/2025

Project Analytics (BMGT3014S)

Subject:
Business Management
College:
Business
School:
Business
Level:
3 (Degree)
Credits:
10
Module Coordinator:
Dr Kostas Stouras
Trimester:
Autumn and Summer (separate)
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

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.

About this Module

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 Hours:
Student Effort Type Hours
Specified Learning Activities

85
Autonomous Student Learning

102
Lectures

20
Total

207

Approaches to Teaching and Learning:
Students will attend classes for this module and have the opportunity to engage in active learning during these sessions. There will be in-class discussion and group work to analyse module concepts. Where appropriate, the module will incorporate case based learning

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Assignment Week 12 Graded No
40
 No
Exam (In-person): exam Week 12 Graded No
60
 No

Carry forward of passed components
No
 

Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 

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
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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