Business Analytics and Decision

6/19/22, 4:36 PM Moodle | Course: ITECH 3101 SEM8 2022: Business Analytics and Decision Support ATMC – Melbourne
https://moodle.federation.edu.au/course/view.php?id=81899 1/5
Course Information
This section contains:
An introduction to ITECH3101
An introduction to navigating Moodle
The course description
A study schedule
Assessments
This section contains:
An overview of the assessment to be completed in this course
Links to submit each assessment task
Information about each assessment task, including due dates, weighting and marking
criteria
Topic 1 – Introduction
6/19/22, 4:36 PM Moodle | Course: ITECH 3101 SEM8 2022: Business Analytics and Decision Support ATMC – Melbourne
https://moodle.federation.edu.au/course/view.php?id=81899 2/5
Key concept:
Introduction to fundamentals in business intelligence and analytics for decision
support and software tools used in this subject.
Image: Alex Wong
Topic 2 – Foundation of Decision Making
Key concept:
Understand the conceptual foundations of decision making
Understand Simon’s four phases of decision making: intelligence, design, choice,
and implementation
Understand the essential definition of decision support systems (DSS)
Understand different types of DSS classifications
Image: Hunter Harritt
Topic 3 – Data Warehousing
Key concepts:
Understand the basic definitions and concepts of data warehouses
Learn different types of data warehousing architectures; their comparative
advantages and disadvantages
Describe the processes used in developing and managing data warehouses
Explain data warehousing operations
Image: Christopher Burns
Topic 4 – Visual analytics 1
Key concepts:
Define business reporting and understand its historical evolution
Recognize the need for and the power of business reporting
Understand the importance of data/information visualization
Image: Rene Bohmer
6/19/22, 4:36 PM Moodle | Course: ITECH 3101 SEM8 2022: Business Analytics and Decision Support ATMC – Melbourne
https://moodle.federation.edu.au/course/view.php?id=81899 3/5
Learn different types of visualization techniques
Topic 5 – Visual analytics 2
Key concepts:
Discussion and exploration of concepts and theory of visualisation.
Image: Billy Huynh
Topic 6 – Data Mining 1
Key concepts:
Mid-semester evaluation
Define data mining
Recognize the wide range of applications of data mining
Learn different methods and algorithms of data mining
Build awareness of the existing data mining software tools
Image: Scott Rodgerson
Topic 7 – Data Mining 2
Key concepts:
Introduction to techniques for predictive modelling
Classification concept
Artificial neural networks (ANN)
Support vector machines (SVM)
k-nearest neighbours(KNN)
Image: Ricardo Gomez Angel
6/19/22, 4:36 PM Moodle | Course: ITECH 3101 SEM8 2022: Business Analytics and Decision Support ATMC – Melbourne
https://moodle.federation.edu.au/course/view.php?id=81899 4/5
Topic 8 – Advanced data mining
Key concepts:
This week is devoted to learning advanced data mining techniques such as cluster
concepts, k-means cluster
Text analytics, text mining
Sentiment analysis
Image: Ricardo Gomez Angel
Topic 9 – Web Mining and Model-Based Decision Making
Key concept:
This week focuses on Web Mining and its application areas,
Model-Based Decision Making
Image: Hikersbay Hikersbay
Topic 10 – Big data analytics
Key concept:
Introduction to big data analytics.
Image: Samuel Zeller
Topic 11 – Emerging trends in business analytics
Key concept:
Image: Hao Wang
6/19/22, 4:36 PM Moodle | Course: ITECH 3101 SEM8 2022: Business Analytics and Decision Support ATMC – Melbourne
https://moodle.federation.edu.au/course/view.php?id=81899 5/5
Key concept:
Discussion and exploration of emerging trends and techniques in business
analytics.
Week 12 – Review
Key concepts:
Review this course
Final test advice
Image: Aron Van de Pol
Study Resources
This section contains:
Additional Readings
Link to useful websites
Image: Alvaro Pinot
Lecturer Resources and moderation samples *hidden*
Not available