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SIS Upcoming Professional Programmes

The School of Information Systems (SIS) at the Singapore Management University (SMU) has a series of courses that are open for industry enrolment.

For further enquiries, please contact: academy@smu.edu.sg

THEME & COURSES

A. Business Analytics

1) Interactive Business Analytics (Basic and Advanced)
2) Social Media Analytics for Business Intelligence (Part 1 and Part 2)
3) Applied Business Forecasting
4) Business Modelling using Spreadsheets (Basic and Advanced)
5) Data Visualisation for Business Intelligence (Basic and Advanced)
6) Social Network Analysis with Business Intelligence
7) Advanced Analytics for Business Intelligence (Part 1 & Part 2)

Corporate Runs Only

B. Business Processes & Systems

1) Process Modelling & Solution Blueprinting (Part 1 and Part 2)
2) Composing Adaptable Business Processes with SAP

C. Cloud Computing

1) Cloud Computing & SaaS
2) Cloud Computing Economics
3) Cloud Computing for Developers

Course Descriptions

The sections below consist of the course descriptions of each course and the course objectives.

A. Business Analytics

Basic Level

In this information age, the ability to explore visual representation of massive data interactively and to detect meaningful patterns, trends and exceptions from these data are increasingly becoming an important skill for business practitioners. Using real world business data, this course aims to share with you how data visualisation and interactive analytics techniques can be used to interact with business data from various sources and formats, explore relationship, detect the expected and discover the unexpected without having to deal with complex statistical formulas and programming.

Objectives:

  • Building core skills for visual analytics
  • Build ability in sensing and visualising univariate and bivariate data

By the end of this course you will acquire the skills to:

  • Apply the basic principles of data visualisation and information graphics best practices in your business presentation
  • Use appropriate data visualisation and visual analysis techniques for analysing each type of quantitative relationship
  • Present business data in the language of graphics effectively and eloquently

Duration: 2-day
Requirements: Nil
Platform: Tableau Public, TIBCO Silver Spotfire, and Panopticon
Textbook: Nil

Advanced Level

This is a continuation course from Basic Data Visualisation for Business Intelligence. With the core skills in visual analytics to handle both univariate and bivariate data, this continuation course will move further to include multi-dimensional categorical and hierarchical datasets, and time series datasets, to detect meaningful patterns, trends and exceptions. In addition, the course also covers the concept, techniques and best practices of information dashboard.

Objectives:

  • Build ability in sensing and visualising high-dimensional categorical datasets
  • Build ability in sensing and visualising multi-dimensional, hierarchical datasets
  • Build ability in sensing and visualising time-series data
  • Gain skill in information dashboard design: concept, techniques and best practices

By the end of this course you will acquire the skills to:

  • Apply the basic principles of data visualisation and information graphics best practices in your business presentation
  • Use appropriate data visualisation and visual analysis techniques for analysing each type of quantitative relationship
  • Present business data in the language of graphics effectively and eloquently
  • Design information dashboards that communicate clearly and compellingly

Duration: 2-day
Requirements: Participant must have completed the Basic Data Visualisation for Business Intelligence course
Platform: Tableau Public, TIBCO Silver Spotfire, and Panopticon
Textbook : Nil

Part 1 : Social Network Analysis

Social network analysis is the study of the patterns of social relations. Network analysis examines how the structure of social relations allocates resources, constrains behavior, and channels social change. In this course we will share with you how to use social network analysis to analyse data collected from social mediating technologies such as Facebook, Twitter, Wiki and e-mail for sales and marketing, engaging customers, and promotion initiatives.

Objectives:

  • Basic understanding in social media and social networks
  • Understanding social network analysis: measuring, mapping and modelling collections of connections
  • Obtain skills in visualising and analysing email
  • Gain understanding beyond just counting Fans and Likes
  • Understanding connections of creativity and collaboration

Upon successful completion of this course, an attendee will be able to:

  • Discuss a variety of measures and properties of networks
  • Identify various types of social networks
  • Describe how position within and structure of networks matter
  • Use software tools to analyze social network data, and
  • Apply social network analysis to areas such as sales and marketing, engaging customers, and products promotion.

Duration: 2-day
Requirements: Nil
Platform: NodeXL, GEPHI, or SAS Social Media Portal
Textbook: Nil

Part 2 : Business Analytics with Unstructured Data

In today's highly competitive and dynamic market, the ability of a particular service industry to retain customers and cross-sell products and services is of critical important. However, the conventional market research method and its subsequent analysis and reporting can nonetheless be so time-consuming and laborious as to render the resulting decision. Over the last five years, the unprecedented development and use of social mediating technologies such as blog, wiki, Facebook, and Tweeter have engendered radically new ways of collecting and analysing customer preference, shopping behaviours, and spending patterns. This course aims to show you how web data retrieval, content categorisation, text analytics, data mining and marketing knowledge can be combined to transform unstructured data collected from social mediating technologies into useful business insights.

Duration: 2-day
Requirements: Participants can sign up for one or both parts. For Part 2, participants must have basic knowledge of data analytics.
Platform: NodeXL, GEPHI, or SAS Social Media Portal
Textbook : Nil

This course is designed for working professionals who want to enhance their understanding of business forecasting from an application perspective. The course explains how forecasts are developed and utilized, emphasising on modern statistical methods and quantitative forecasting techniques. Specific applications to business include forecasting sales, production, inventory, macroeconomic factors such as interest rates and exchange rates, and other aspects of both short- and long-term business planning.

Objective:

  • Demystifying business forecasting: myths versus reality
  • Understand in forecast value added analysis and measuring forecast performance
  • Understanding and ability to perform various forecasting using different methods and for different data types
  • Understanding visual forecasting methods

Upon successful completion of this course, an attendee will be able to:

  • Ability to perform advanced forecasting for stationary time series
  • Ability to perform advanced forecasting for non-stationary time series
  • Ability to perform forecasting using causal data
  • Ability to generate large quantities of high-quality forecasts

Duration: 3-day
Requirements: Nil
Platform: KNIME, WEKA, SAS Forecasting Studio
Textbook: Nil

Basic Level

The primary focus is on using personal computers as platforms for soliciting, consolidating, and presenting information (data, assumptions and relationships) as a model for a variety of business settings; consequent use of this model to drive understanding and consensus towards generating possible actions; and finally, the selection of a final course of action and assurance of execution success. In-class exercises would be used to present in real-time end-user problem modelling and solving opportunities using Excel worksheets as modelling "canvas". Participants would interactively develop skills and experience to deal with open-ended questions, unclear assumptions and incomplete information. Where appropriate, solutions obtained could be extended as "Decision Support Systems" and "Proof-of-Concepts".

Objectives:

  • Know how to frame problems, and integrate various analytical skills (e.g. statistics and mathematics) to model and solve business problems.
  • Be comfortable with the personal computer, motivated to self-learn problem analysis computer tools and know where to get relevant information and system resources.

Upon successful completion of this course, an attendee will be able to:

  • Understand how spreadsheet modelling can be an effective tool in solving problems
  • Learn to construct simple spreadsheet models
  • Learn to build models with different functions and variable types
  • Learn how to generate tables of information from formulas
  • Learn how to add fool-proofing and user-friendly features
  • Learn to do iterative recursive computations

Duration: 2-day
Requirements: Nil
Platform: MS Excel 2007
Textbook: "Business Modeling with Spreadsheets: Problems, Principles, and Practice", 2nd Edition, Leong and Cheong, McGraw-Hill

Advanced Level

The course is designed for participants who have completed the basic spreadsheet modelling course or experienced user of spreadsheet. This course illustrates how spreadsheets can be used creatively with amazing outcomes. Spreadsheet is a powerful tool for business analysis. Analysis would involve different management situations and model structural types: many simple formulas, complex formulas (large number of inputs and difficult relationships), large data set, model visualisation & simulation, deterministic, dynamic (time-varying) & stochastic (uncertain) inputs, or constraints on solution space

Objectives:

  • Increase the competency in using spreadsheet application as an analysis, model verification, simulation and management reporting tool.
  • Be exposed to a variety of software solutions (add-ins) in Excel.
  • Be able to build complex spreadsheet application with Macros and basic programming in VBA

Upon successful completion of this course, an attendee will be able to:

  • Understand the importance of simulation to verify analytical results
  • Learn to automate lookup of information from a data list
  • Learn to set up simulation models and test decision choices under uncertainty
  • Learn to record, minor edit and run macros
  • Learn to do computations with time and date variables
  • Learn to compute basic statistics of data sets
  • Learn to fit data to statistical distributions
  • Obtain an exemption from the 1 module (C.2 Spreadsheet Modeling for T&O Managers) in both tracks of the Master of IT in Business programme at SMU-SIS provided the participants pass the exemption test.

Duration: 2-day
Requirements: Participant must have completed the basic spreadsheet modelling course or is an experienced user of spreadsheet
Platform: MS Excel 2007
Textbook: "Business Modeling with Spreadsheets: Problems, Principles, and Practice", 2nd Edition, Leong and Cheong, McGraw-Hill

Basic Level

In this information age, the ability to explore visual representation of massive data interactively and to detect meaningful patterns, trends and exceptions from these data are increasingly becoming an important skill for business practitioners. Using real world business data, this course aims to share with you how data visualisation and interactive analytics techniques can be used to interact with business data from various sources and formats, explore relationship, detect the expected and discover the unexpected without having to deal with complex statistical formulas and programming.

Objectives:

  • Building core skills for visual analytics
  • Build ability in sensing and visualising univariate and bivariate data

By the end of this course you will acquire the skills to:

  • Apply the basic principles of data visualisation and information graphics best practices in your business presentation
  • Use appropriate data visualisation and visual analysis techniques for analysing each type of quantitative relationship
  • Present business data in the language of graphics effectively and eloquently

Duration: 2-day
Requirements: Nil
Platform: Tableau Public, TIBCO Silver Spotfire, and Panopticon
Textbook: Nil

Advanced Level

This is a continuation course from Basic Data Visualisation for Business Intelligence. With the core skills in visual analytics to handle both univariate and bivariate data, this continuation course will move further to include multi-dimensional categorical and hierarchical datasets, and time series datasets, to detect meaningful patterns, trends and exceptions. In addition, the course also covers the concept, techniques and best practices of information dashboard.

Objectives:

  • Build ability in sensing and visualising high-dimensional categorical datasets
  • Build ability in sensing and visualising multi-dimensional, hierarchical datasets
  • Build ability in sensing and visualising time-series data
  • Gain skill in information dashboard design: concept, techniques and best practices

By the end of this course you will acquire the skills to:

  • Apply the basic principles of data visualisation and information graphics best practices in your business presentation
  • Use appropriate data visualisation and visual analysis techniques for analysing each type of quantitative relationship
  • Present business data in the language of graphics effectively and eloquently
  • Design information dashboards that communicate clearly and compellingly

Duration: 2-day
Requirements: Participant must have completed the Basic Data Visualisation for Business Intelligence course
Platform: Tableau Public, TIBCO Silver Spotfire, and Panopticon
Textbook : Nil

Social network analysis is the study of the patterns of social relations. Network analysis examines how the structure of social relations allocates resources, constrains behavior, and channels social change. In this course we will share with you how to use social network analysis to analyse data collected from social mediating technologies such as Facebook, Twitter, Wiki and e-mail for sales and marketing, engaging customers, and promotion initiatives.

Objectives:

  • Basic understanding in social media and social networks
  • Understanding social network analysis: measuring, mapping and modelling collections of connections
  • Obtain skills in visualising and analysing email
  • Gain understanding beyond just counting Fans and Likes
  • Understanding connections of creativity and collaboration

Upon successful completion of this course, an attendee will be able to:

  • Discuss a variety of measures and properties of networks
  • Identify various types of social networks
  • Describe how position within and structure of networks matter
  • Use software tools to analyze social network data, and
  • Apply social network analysis to areas such as sales and marketing, engaging customers, and products promotion.

Duration: 2-day
Requirements: Nil
Platform: NodeXL, GEPHI, or SAS Social Media Portal
Textbook: Nil

Part 1 : Classification and Mining Relationships

Who are your most valuable customers? Who will remain a loyal customer and who won't? Which marketing campaigns are most effective with which segments? What you need to know before you launch new acquisition activities? How can customer value be maximized? These and many other related questions are the challenges face by you and many business analysts. In this course we will share with you a collection of advanced analytics techniques for discovering answers to these and other critical business questions from massive databases either housed internally or extracted from external sources.

Objectives:

  • Basic concepts and principles of analytics for business intelligence
  • Introduction to data mining process and techniques
  • Finding islands of similarity: Cluster detection methods
  • Classification with nearest neighbor approaches
  • Classification with Naïve Bayes
  • Market Basket Analysis and Associate analysis

Upon successful completion of this course, an attendee will be able to:

  • Use RapidMiners at varies stages in your statistical analysis and data mining process
  • Detect and discover patterns, trends, and relationships from complex and massive business data using appropriate data mining techniques
  • Construct and validate models using advanced data mining techniques
  • Build successful predictive models using appropriate data mining techniques

Duration: 2-day
Requirements: Participants must have basic knowledge of statistics (i.e. descriptive statistics, inferential statistics, simple regression and correlation).
Platform: RapidMiner
Textbook: Nil

Part 2 : Predictive Analysis

Who are your most valuable customers? Who will remain a loyal customer and who won't? Which marketing campaigns are most effective with which segments? What you need to know before you launch new acquisition activities? How can customer value be maximized? These and many other related questions are the challenges face by you and many business analysts. In this course we will share with you a collection of advanced analytics techniques for discovering answers to these and other critical business questions from massive databases either housed internally or extracted from external sources.

Objectives:

  • Basic concepts and principles of predictive analytics
  • Predictive analytics process
  • Multiple linear regression methods
  • Classification tree methods
  • Regression tree methods
  • Logistic regression methods
  • Neural nets methods

Upon successful completion of this course, an attendee will be able to:

  • Detect and discover patterns, trends, and relationships from complex and massive business data using appropriate data mining techniques
  • Construct and validate models using advanced data mining techniques
  • Build successful predictive models using appropriate data mining techniques

Duration: 2-day
Requirements: Participants must have basic knowledge of statistics (i.e. descriptive statistics, inferential statistics, simple regression and correlation).
Platform: RapidMiner
Textbook: Nil

B. Business Processes & Systems

Part 1 : Business Process Modelling

Business Process Modelling Course presents the concepts and methodologies required to execute a methodical approach to translate business process change requirements into clear IT solutions. The course will cover business process modelling and analysis. The course will ensure that the attendees can smoothly translate enterprise business objectives into business processes for effective IT solutions design.

Upon successful completion of this course, an attendee will be able to:

  • Capture enterprise processes through business process models
  • Analyse the business processes and identify the bottleneck
  • Improve the operational efficiency by streamlining and improving current business process
  • Develop To-Be process model to improve the business efficiency
  • Case studies based on the company operations will be used throughout the course, to better understand the business processes

Duration: 2-day
Requirements: Nil
Platform: Microsoft Office Visio
Textbook: "Aligning IT Solutions with Business Processes, 1st edition" Venky Shankararaman, Kar Way Tan etc, Pearson, ISBN : 9780130328960

Part 2 : IT Solutions Blueprinting

IT Solutions Blueprinting Course presents the concepts and methodologies required to translate business process change requirements into set of documents containing various specification of various aspects of IT solutions. This is a continuation course from Part 1 " Business Process Modeling Course.

Upon successful completion of this course, an attendee will be able to:

  • Understand and execute a methodological approach to translate business process change requirements into clear IT solutions
  • Develop various concept solutions models for new IT solutions for To-Be process
  • Develop a concept solution architecture based on the analysis of the business process requirements

Duration: 1-day
Requirements: Nil
Platform: Microsoft Office Visio
Textbook: "Aligning IT Solutions with Business Processes, 1st edition" Venky Shankararaman, Kar Way Tan etc, Pearson, ISBN : 9780130328960

This course is designed for anyone interested in getting a hands-on experience in developing process based composite application using SAP Netweaver BPM. The participants will be equipped for defining and implementing flexible business processes through effective utilisation of SAP Netweaver BPM toolset. This course will blend examples, real world case studies, discussions, hands-on labs using SAP Netweaver BPM.

Upon completion of the course, participant will be able to:

  • Explain the fundamental concepts of an enterprise system (e.g. SAP ECC) and how it supports a business
  • Conduct a detailed walkthrough of some business processes in an enterprise system (e.g. Fulfilment)
  • Design and implement a process driven composite application by using an appropriate enterprise system (e.g. SAP ECC) and enterprise BPM tools (e.g. SAP Netweaver BPM)

Duration: 3-day
Requirements: Nil
Platform: SAP Netweaver BPM
Textbook: Nil

C. Cloud Computing

The Cloud Computing and Software-as-a-Service (SaaS) Course presents the concepts and technology required to develop solutions for given business requirements using cloud-based services and technology. The course is intended to provide a hands-on opportunity for participants to explore different cloud computing platforms and services and to enhance the participant's proficiency in applying these services to support specific needs within an organisation. The course will cover Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) concepts. No previous software development experience is required for this course.

By the end of this course, the attendee will acquire the skills to:

  • Configure Software-as-a-Service (SaaS) solutions to solve common business problems
  • Analyse large datasets using the cloud
  • Articulate the advantages and disadvantages of using the cloud to solve particular business problems
  • Articulate security risks and counter measures to consider when using the cloud
  • Customise and deploy solutions to a Platform-as-a-Service (PaaS) provider's platform to solve common business problems
  • Customise and deploy solutions to an Infrastructure-as-a-Service (IaaS) provider's platform to solve common business problems
  • Compare the trade-offs between different public cloud, private cloud and hybrid cloud approaches to solving problems

Duration: 3-day
Requirements: Nil
Platform: Internet access with web browser
Textbook: Nil

The Economics of Cloud Computing course builds on the concepts introduced in the Cloud Computing and SaaS course and the Cloud Security and Compliance course. Whereas the Cloud Computing and SaaS course approaches solution development from the perspective of an individual contributor and the Cloud Security and Compliance course approaches solution design from the perspective of professionals responsible for maintaining, enforcing, and auditing common policies and standards across an organisation; this course focuses on analysing the return on investment of various applications of cloud computing in an organisation. The course will provide a hands-on opportunity for participants to explore different cloud computing platforms and services and enhance the participant's proficiency and confidence in begin able to calculate the financial justification of developing and deploying cloud-based solutions.

By the end of this course you will acquire the skills to:

  • Calculate the expected costs of public cloud, private cloud, and hybrid cloud solutions based on expected workloads
  • Calculate optimal solution tradeoffs based on past performance
  • Include additional costs for internal IT and cloud-based solutions to produce a fully burdened cost estimate.
  • Articulate the range of costs for a solution approach based on varying demand
  • Identify and be able to articulate the resource cost points at which internal IT, public cloud, or hybrid clouds solution become more cost effective

Duration: 3-day
Requirements: Nil
Platform: Internet access with web browser
Textbook: Nil

The Cloud Computing for Developers course builds on the concepts introduced in the Cloud Computing and SaaS course and the Cloud Security and Compliance course. Whereas the Cloud Computing and SaaS course approaches solution development from the perspective of an individual contributor and the Cloud Security and Compliance course approaches solution design from the perspective of professionals responsible for maintaining, enforcing, and auditing common policies and standards across an organisation; this course focuses on developing highly autonomous systems that scale resources up and down to align with changing workloads and demands. The course will provide a hands-on opportunity for participants to explore different cloud computing platforms and services and enhance the participant's proficiency and confidence in begin able to build and support highly automated and efficient cloud-based solutions.

By the end of this course you will acquire the skills to:

  • Customise and deploy solutions to a Platform-as-a-Service (PaaS) provider's platform to solve common business problems
  • Analyse large datasets using the cloud Customise and deploy solutions to an Infrastructure-as-a-Service (IaaS) provider's platform to solve common business problems
  • Automate the creation and deployment of systems completely from source code (Infrastructure-as-code)
  • Create and manage a private cloud instance
  • Automate the scaling up and down of resources based on changing demand
  • Automate the transfer of workloads between multiple cloud implementations

Duration: 3-day
Requirements: Nil
Platform: Internet access with web browser
Textbook: Nil

Last updated on 14 Feb 2017 .