MIS4015S Analysis for Business

Academic Year 2023/2024

"In the 21st century, data is ubiquitous. Companies have to constantly adjust to complex, data-driven rapidly changing environments, building capacity and data literacy in both “small data” and “big data”, and creating systems of data collection and analysis. This creates opportunities to turn data into insight, but also to use data to support and promote transparency and accountability.

Data Analysis is the application of statistical techniques to describe and explore a set of data with the objective of highlighting useful information. Data Analysis is used to support evidence-based decision making, and so is a core part of modern business practices.

This module is a foundation in data analysis for business managers, and aims to familiarise you with data analysis techniques, which will serve as a basis for other specialised data-driven subjects, such as Human-Resources, Accounting, Finance, etc.

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Curricular information is subject to change

Learning Outcomes:

Topics can include (but not limited to):
• Introduction to Probability
• Random Variables and Descriptive Statistics Measures
• Discrete Distributions
• Continuous Distributions
• Inferential Statistics: Population vs. Sample, Sampling Distribution of the Sample Mean
• Confidence Intervals
• Hypothesis Testing
• Correlation and Regression
• Simulation
"

Student Effort Type Hours
Lectures

20

Specified Learning Activities

80

Autonomous Student Learning

150

Total

250

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
Assignment: assignment Throughout the Trimester n/a Graded No

40

Examination: Exam Unspecified No Graded No

60


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?

Not yet recorded.

Name Role
Dr Christina Burke Tutor
Ms Michele Connolly Doran Tutor
Soh Cheong Hian Tutor
Shirley Ho Tutor
Rachel Sim Tutor
Chee Shong Tan Tutor
Charlene Tan Puay Koon Tutor
Siti Zarifah Tutor

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