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.