Course Title: Intelligent Enterprise Systems

Part A: Course Overview

Course Title: Intelligent Enterprise Systems

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

ISYS2425

City Campus

Undergraduate

620H Business IT and Logistics

Face-to-Face

Sem 2 2009,
Sem 2 2010,
Spring2010,
Spring2011,
Sem 2 2012,
Spring2012,
Sem 2 2013,
Spring2013,
Sem 2 2014,
Sem 2 2015,
Sem 2 2016,
Sem 2 2017,
Sem 2 2018,
Sem 2 2019

ISYS2425

City Campus

Undergraduate

665H Accounting, Information Systems and Supply Chain

Face-to-Face

Sem 1 2022

ISYS2426

RMIT University Vietnam

Undergraduate

620H Business IT and Logistics

Face-to-Face

Viet1 2011,
Viet2 2011,
Viet3 2011,
Viet1 2012,
Viet2 2012,
Viet3 2012,
Viet1 2013,
Viet2 2013,
Viet3 2013,
Viet1 2014,
Viet2 2014,
Viet3 2014,
Viet1 2015,
Viet2 2015,
Viet3 2015,
Viet1 2016,
Viet2 2016,
Viet3 2017

ISYS3311

Singapore Inst of Management

Undergraduate

620H Business IT and Logistics

Face-to-Face

Offsh3 13,
Offsh3 14,
Offsh3 15,
Offsh1 16,
Offsh3 16,
Offsh1 18,
Offsh3 18,
Offsh1 19,
Offsh3 19,
Offsh1 20,
Offsh1 21,
Offsh3 21

ISYS3311

Singapore Inst of Management

Undergraduate

665H Accounting, Information Systems and Supply Chain

Face-to-Face

Offsh3 22,
Offsh1 23

ISYS3312

Open Learning Australia

Non Award

620H Business IT and Logistics

Distance / Correspondence

OUASP2UG19,
OUASP1UG20,
OUASP3UG20,
OUASP2UG21

ISYS3312

Open Learning Australia

Non Award

665H Accounting, Information Systems and Supply Chain

Distance / Correspondence

OUASP1UG22,
OUASP3UG22

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

ISYS3377

OUA CSP

Undergraduate

620H Business IT and Logistics

Internet

OUACSP2019 (All)

Course Coordinator: Dr Say Yen Teoh

Course Coordinator Phone: +61 3 9925 5788

Course Coordinator Email: sayyen.teoh@rmit.edu.au

Course Coordinator Location: Building 80

Course Coordinator Availability: Appointment via email


Pre-requisite Courses and Assumed Knowledge and Capabilities

No prerequisite required for this course.


Course Description

This course provides an introduction to intelligent enterprise systems (IE). It is a future-ready enterprise resource planning (ERP) software that integrates with various intelligent technologies, including artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT) and advanced analytics. IE improves operational efficiency and customer satisfaction by predicting market trends and maximising business value so that that organisation can compete resiliently in dynamic and demanding markets. This course explores IE and intelligent technologies from the basic concepts of understanding, identifying, planning, selecting, evaluating, implementing and operating IE to make smarter and faster business decisions.
 


Objectives/Learning Outcomes/Capability Development

This course will help you in developing capability in the following areas:

  • Utilise generic business knowledge and capabilities
  • Develop operations and integration processes
  • Develop interpersonal skills to engage with others
  • Apply teamwork and leadership capabilities
     


Upon completion of this course, you should be able to demonstrate achievement of the following Course Level Outcomes (CLOs):

CL01: Evaluate key business and technical rationales in diverse business contexts that lead to the need for intelligent enterprise systems.
CL02: Investigate and apply appropriate methods and strategies in building Intelligent Enterprise Systems solutions.
CL03: Critically assess appropriate principles and approaches with the use of Intelligence Enterprise Systems to forecast and propose plans for cost-effective interfaces between logistics and other functional business activities.
CL04: Develop and apply effective interpersonal skills and communication techniques in working as a team to solve real-world problems with innovative, intelligent enterprise systems solutions.
 


Overview of Learning Activities

1. Students will learn the concepts and issues involved in Intelligent Enterprise Systems (IE) software in the business environment.

2. Students will learn to develop a presentation and a written report for businesses to transit to an intelligent enterprise.

3. Students will get to experience the use of the SAP systems during the workshops.
 


Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies\Canvas. The lecture notes and workshop notes are posted on Canvas.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period. 


Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows:

 

Assessment Task 1: 20%
Linked CLOs: 1, 3, 4

Assessment Task 2: 30%
Linked CLOs: 1, 2, 3, 4

Assessment Task 3: 50%
Linked CLOs: 1, 2, 3

 

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.