Analytical Challenge
Challenge Summary
Phase 1 Phase 2 Phase 3 onwards
Timeline April June 15 July-Sep 15 Oct- Dec 15
Details Open to USM students only Introduction to Data Analytic Learn concept and simple
regression model Data collection: Min. of 150
of respondents and ideal num. is up to 389 of diff respondents
Series of training by Intel, IBM, etc.
Outcome: Participants will interpret small/simple data & relationship
Open to local students & Malaysian students studying abroad
Increase in data complexity, wider volume of data
Learn more complex relationship (e.g. causal relationship, Structured Equitation Modelling, moderating & mediating variables etc.)
Series of training by Intel, IBM, etc.
Outcome: Participants will interpret deeper and more details kind of explanation for data interpretation, complex relationship etc.
Introduction to Big Data Series of training by Intel,
IBM, etc. Outcome: Participants will
have access to more data complexity with support from available tools in ICDC.
Tools Used SPSS, MATLAB, IBM Bluemix etc. SPSS, MATLAB, IBM Bluemix etc. SPSS, MATLAB, IBM Bluemix, R, Hadoop etc.
Phase 1: Details
Descriptions
Participants Open to USM Year 1- Year 4 Undergraduate & Postgraduate students
Num. of Participants Max. 100 pax
Entry Requirements Individual/ Group (2-3 members per group)
Category Open to all
Data Collection Method
1. Set of data will be given by organizer OR 2. Participants can use or collect their own data
Phase 1: Challenge Framework
Briefing on challenge details/ Expression of Interest
Training on concept to use tools e.g. SPSS/MATLAB etc.
Data Collection/Use existing data given
Consultation session
Grand finale
1st week of April 24th April 15
9th & 16th May 15
16th May 15 onwards
30th June 15
Activity Timeline
Note: All activities and timeline are subject to change
Learning Outcome
By participating in this challenge, participants will experience the following advantages:
1. Ability to mine and translate data into useful information and insights.
2. Learn the foundation components and elements of Internet of Things(IoT) enabled services, solutions and framework.
3. Hands-on learning on analytic tools (e.g. SPSS, MATLAB, IBM Bluemix, R, Hadoop).
4. Work on real-world industry data and case projects.
5. Opportunity to learn from industry experts through series of training and consultation sessions by industry.
Challenge Awards
1. Priority for internship opportunities with CREST Industry Partners for Year 3 students or any participants who are looking for internship placement.
2. Winning Cert: Champion, Runner-up, 2nd Runner-up.
3. Certificate of Participation.
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