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ESG501 End-of-Course Assessment – January Semester 2025| ESG and SDG Strategies: Addressing Backlash and Net-Zero Goals
Section A (100 Marks) Answer all questions in this section. Question 1 In 2015, the United Nations Global Compact and its partners published the SDG Compass to guide companies in aligning their strategies with the Sustainable Development Goals (SDGs) and…
CUT3246027 CL- Comprehensive Digital Content Marketing Plan for a Singapore B2C SME – 2025
Coursework 1: Digital Content Marketing Plan The report is a 2,500-word business report in which you will propose a digital content marketing plan for a Singapore SME. You must choose a B2C Singaporean SME and analyse its digital marketing strategy…
PSS388 TMA01- Comprehensive Risk Assessment for the 10K Ubin Peloton January 2025
Case Study: 10K Ubin Peloton Event A local sporting events company, LetsGoSG, is planning to organise a 10km “fat-wheel” bicycle race at Pulau Ubin. Capitalising on the holiday atmosphere, they plan to hold the event, the 10K Ubin Peloton, on…
PS5003ACC: Collins Industries Case Study ( 2024-25) Managerial and Strategic Recommendations
Collins Industries Case Study Overview Collins Industries is a decentralized organization with five divisions. Among these, the Electrical Division manufactures various electrical items, including the A21 electrical fitting. The division, currently operating at capacity, sells the A21 fitting for $7.50…
AIB501:AI Strategies and Roadmaps for Industry-Specific Implementation and Sustainability| ECA- Jan 2025 semester
Section A (100 marks) Answer all questions in this section. Question 1 Construct and design a detailed and comprehensive AI implementation strategy tailored for a software company specializing in serving the renovation, construction, maintenance, and design needs of the retail…
BUS105 TMA Analysis of Bounty Rice Glycemic Index and Fertilizer Impact | Jan2025 Semester
The Objective of this TMA To provide an opportunity for students to apply the materials learnt in the course and to develop/sharpen the necessary technical skills and knowledge of Statistics. Please note that: i. The details of this case…
ECAM105: Airport Technologies for Baggage Handling, Project 1
Project 1 – Airside Performance Standards The main objectives of this project are:- 1) To understand the importance of choosing appropriate airside performance indicators; 2) How to set appropriate and realistic performance standards (“SMART” Goal) for each airside activity; and…
AI CM3020: Adapting Genetic Algorithms for Mountain-Climbing Creatures | Part B Mid-term Coursework
This section describes what you have to do and what you have to deliver for Part B of the mid-term CM3020 AI coursework. For this part of the coursework, you need to build on top of the codebase from the…
GBS2002: Health Promotion Plan for GLORY Technologies, Oct Semester
Individual Assignment: Application Analysis (45%) Application Analysis – 45% Submission Deadline: 5 Jan (Sunday) 23:59 (via PoliteMall) Purpose: This assignment evaluates your understanding of theories for workplace wellness and your ability to apply global and national best practices and frameworks.…
DSWSH MC 3 – Security Planning & Design for 3-Storey Office Building (Individual Assignment)
Individual Project Assignment This project is an individual assignment. Student is assigned to provide security design recommendations for a new 3-storey office building with 1 basement, located at Sengkang Central. A total of 2 sessions have been allocated for this…
B341: PFP Case Study for Sales Performance, Individual Assignment
Assignment Brief People Fore People People Fore People (PFP), founded in 2019 and headquartered in Singapore, is a recruitment firm dedicated to connecting top talent with opportunities across various industries. The recruitment services market in Singapore is highly competitive, driven…
R Programming Project Brief Docx: Real-World Data Analysis Using Machine Learning Techniques
The project will consist of completing the following three tasks that can be implemented on one real-world dataset. Unsupervised Learning: where the problem consists of identifying homogeneous population groups or dimension reduction techniques, which can then be used in the…
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