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Data Driven World

Singapore University of Technology and Design
Singapore , Singapore
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Major
Computer Programming | Data Analysis | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
About Program

Program Overview

University Programs

The university offers a range of programs, including undergraduate, graduate, and continuing education options.


Academic Pillars and Clusters

The university is organized into several academic pillars and clusters, including:


  • ASD: Architecture and Sustainable Design
  • DAI: Design and Artificial Intelligence
  • EPD: Engineering Product Development
  • ESD: Engineering Systems and Design
  • HASS: Humanities, Arts and Social Sciences
  • ISTD: Information Systems Technology and Design
  • SMT: Science, Mathematics and Technology

Program Details

One of the courses offered is 10.020 Data Driven World, which is a continuation of Computational Thinking for Design. The course introduces students to data structures, algorithms, and introductory machine learning algorithms in a practical way.


Learning Objectives

By the end of this course, students should be able to:


  1. Analyse different algorithms' complexity in terms of computation time using Python computational model
  2. Identify recursive structure in a problem and implement its solution in Python
  3. Explain UML diagrams and design software using basic UML diagrams
  4. Apply appropriate data structure and implement them using object-oriented design
  5. Implement algorithm to find coefficients for linear regression by minimizing its error
  6. Implement algorithm to classify categorical data using logistic regression for binary category and above
  7. Analyse and evaluate linear regression using mean square error and correlation coefficient
  8. Analyse and evaluate logistic regression using confusion matrix, its accuracy and recall

Delivery Format

The course is delivered in a 5-0-7 format, with 5 hours of in-class sessions and 7 hours of learning outside of class.


Grading Scheme

Students are graded continuously through cohort exercises, homework, mini-projects, and final project, as well as individual exams and quizzes.


Research Areas

The university has several research areas, including:


  • Design·AI Research
  • Cyber-Physical Learning Alliance
  • Research centres
  • Research programmes and fellowship

Innovation and Enterprise

The university has an innovation ecosystem that includes:


  • Future of Innovation
  • Educational technology
  • Fabrication lab
  • Innovation Showcase
  • Book of Innovations
  • STEAMunity
  • Design Innovation (Consultancy & Training)
  • daVinci@SUTD Experience
  • STEAMxD Immersion Programme
  • Digital Learning Capability Centre (DLCC)

Campus Life

The university offers a range of campus life experiences, including:


  • UxOP
  • Student life
  • Global experience and exchange
  • Career development
  • Student well-being
  • Academic facilities
  • Housing
  • Sports and recreation centre
  • F&B and services
  • Library
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