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[[ANLY482_Current_Practicums: Current Practicums | <font color="#FFFFFF">Current Practicums</font>]]
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[[ANLY482_AY2017-18_Term_2| <font color="#FFFFFF">Current Practicums</font>]]
  
 
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The [[Analytics]] Practicum module (ANLY482) is a compulsory module for those who are taking the [[Analytics]] [http://sis.smu.edu.sg/2nd-majors-analytics Second Major program]. It involves a project that assess the students' ability to apply analytics in real-time events extensively. These projects come from both the academics and industry. Students can also get a good sense of how [[analytics]] are used in their field of study.
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'''<font size = 5>Welcome to ANLY482 Analytics Practicum</font>
  
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Prerequisites</font></div>
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d>Overview</font></div>
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In recent years, there is an increasing use of data analytics to discover business issues and to drive business strategy throughout organizations.  This has created a parallel rising demand for business graduates, who understand how to use data analytics, to solve business issues.  To prepare students taking Analytics Second Major to cope with this demand, this course provides students the practical experience on how to apply the analytics techniques and tools that they have learned in class to help companies solve real world challenges. 
  
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<b>Analytics Foundation</b> is a Pre-Requisite
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'''IMPORTANT:''' ANLY482 Analytics Practicum is a compulsory module for students who are taking the [http://sis.smu.edu.sg/2nd-majors-analytics Analytics Second Major program].  
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It is recommended to take the Practicum course after completing 2 to 3 other analytics electives in order to make the most of the Practicum course. Each listed Analytics Practicum project, might have a list of additional recommended courses which are closely associated with the project area and will come in handy if you take up that project.
 
  
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Objectives</font></div>
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Prerequisites</font></div>
  
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Through this course, students will:
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<b>Analytics Foundation</b> is a Pre-Requisite.  It is recommended to take the Practicum course after completing 2 to 3 other analytics electives in order to make the most of the Practicum course. Each listed Analytics Practicum project, might have a list of additional recommended courses which are closely associated with the project area and will come in handy if you take up that project.
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Apply fundamentals of business analytics in solving a real world problem including the formulation of a business problem and developing a data driven approach to solve it.  
 
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Students will also get an opportunity use industry tools for data exploration and apply analytical techniques to uncover insights on a dataset
 
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By the end of this course students will be able to understand and appreciate the nuances involved in applying analytics in their area of specialization
 
  
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d> Learning Outcomes</font></div>
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<div style="background: #fdf5e6; padding: 13px; font-weight: bold; text-align: left; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"><font color= #3d3d3d>Scope of the Practicum</font></div>
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1. Integration of business & technology in a sector context<br />
 
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1.1. Business IT value linkage skills<br />
 
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Understand business requirement and the connection to IT technology.<br />
 
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Identify potential IT solutions made possible by the Analytics.<br />
 
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1.2. Cost & benefits analysis skills<br />
 
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Perform data analysis and evaluate cost and benefits of various components of the situation and come up with an analytical data driven framework
 
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Identify problem variables and task constraints in corresponding business settings.<br />
 
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1.3. Business software solution impact analysis skills<br />
 
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Propose proper data driven solutions for the particular business scenario.<br />
 
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Evaluate the pros and cons of various solutions for a given problem depending on the assumptions, and understand the limitations of each.<br />
 
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Identify the corresponding variables and parameters, and understand the different ways to set proper parameters for the proposed analytical solution.<br />
 
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2. IT architecture, design and development skills<br />
 
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2.1. System requirements specification skills<br />
 
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2.2. Software and IT architecture analysis and Design skills<br />
 
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Analyze data characteristics and propose appropriate target problems and solutions based on the given input data
 
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2.3. Implementation skills<br />
 
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Use the provided software system to implement solutions by setting the correct parameters and choosing the right methodology.<br />
 
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2.4. Technology application skills<br />
 
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Learn to use enterprise-level data sources and work with them<br />
 
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Learn to use statistical software<br />
 
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3. Project management skills<br />
 
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3.1. Scope management skills<br />
 
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Propose target problem and potential solutions based on the given data. Settle down project details through consultation with the course instructor.<br />
 
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3.2. Risks management skills<br />
 
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3.3. Project integration and time management skills<br />
 
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Integrate different analytical techniques into the project based on the course schedule and budget the time<br />
 
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3.4. Configuration management skills<br />
 
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3.5. Quality management skills<br />
 
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4. Learning to learn skills<br />
 
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4.1. Search skills<br />
 
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Search relevant research results and question answers for the project.<br />
 
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4.2. Skills for developing a methodology for learning<br />
 
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5. Collaboration (or team) skills<br />
 
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5.1. Skills to improve the effectiveness of group processes and work products<br />
 
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Integrate business analysis and technical solutions in a team-collaborating setting<br />
 
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6. Change management skills for enterprise systems<br />
 
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6.1. Skills to diagnose business changes<br />
 
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6.2. Skills to implement and sustain business changes<br />
 
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7. Skills for working across countries, cultures and borders<br />
 
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7.1. Cross-national awareness skills<br />
 
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7.2. Business across countries facilitation skills<br />
 
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8. Communication skills<br />
 
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8.1. Presentation skills<br />
 
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Present effectively the motivation and main ideas of the project.<br />
 
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Explore the technical details of the solution to a reasonable depth suitable for the target audience<br />
 
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8.2. Writing skills Organize the content of the project in a coherent and logical way in writing<br />
 
  
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Students taking this course are required to form a team of three members.  They will work closely with their industry sponsor to identify the business problem, to compile the necessary data, to transform the data into analytics data mart, to perform the analysis by using appropriate analytics techniques and tool(s) and to present their findings to the stake-holder of the project sponsor organisation.  Last but not least, the students are required to document the lesson learned through working on the project in the form of practice research paper and present their paper in the Undergraduate Conference of Data Analytics.
  
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'''Welcome to the [[Analytics]] Practicum (ANLY482)!
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For more information please read the [http://sisapps.smu.edu.sg/CDDR/Courses.aspx?P=104&C=1426&CT=(ANLY482)%20Analytics%20Practicum Course Design Document]<br/>

Latest revision as of 16:50, 12 March 2018

About

Current Practicums

Past Practicums

Grading & Deliverables

Downloads & FAQ

 

Welcome to ANLY482 Analytics Practicum

Overview

In recent years, there is an increasing use of data analytics to discover business issues and to drive business strategy throughout organizations. This has created a parallel rising demand for business graduates, who understand how to use data analytics, to solve business issues. To prepare students taking Analytics Second Major to cope with this demand, this course provides students the practical experience on how to apply the analytics techniques and tools that they have learned in class to help companies solve real world challenges.

IMPORTANT: ANLY482 Analytics Practicum is a compulsory module for students who are taking the Analytics Second Major program.

Prerequisites

Analytics Foundation is a Pre-Requisite. It is recommended to take the Practicum course after completing 2 to 3 other analytics electives in order to make the most of the Practicum course. Each listed Analytics Practicum project, might have a list of additional recommended courses which are closely associated with the project area and will come in handy if you take up that project.

Scope of the Practicum

Students taking this course are required to form a team of three members. They will work closely with their industry sponsor to identify the business problem, to compile the necessary data, to transform the data into analytics data mart, to perform the analysis by using appropriate analytics techniques and tool(s) and to present their findings to the stake-holder of the project sponsor organisation. Last but not least, the students are required to document the lesson learned through working on the project in the form of practice research paper and present their paper in the Undergraduate Conference of Data Analytics.

For more information please read the Course Design Document

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