Skip Ribbon Commands
Skip to main content
​​

Course Detail

BS1009 Introduction to Computational Thinking
Objectives
Computational thinking (CT) is a problem-solving process that can be used to develop solutions for a wide range of problems across various disciplines, including math, science, engineering, business, finance and humanities. The aim of this course is to take you from having no prior experience of thinking in a computational manner to a point where you can apply abstraction, decomposition and algorithm design to solve some basic problems in sciences. In addition, the course will include topics to raise awareness of the socio-ethical issues arising from the pervasiveness of computing technology and impending trends.
Outline
Computer hardware and software, Programming languages, Basic programming constructs: if/else, for loop and visual programming, Problem solving with abstraction and decomposition, Problem solving with pattern recognition, Implementing algorithms to solve problems, Limits of computing and algorithmic complexity, Current computing trends such as cloud, blockchain, quantum computing, Issues and ramifications of pervasiveness of computers.
Who Should Attend
Data Scientist or Reasearchers working in academia and the local biotech industry
Eligibility Criteria
Diploma/Degree in Biological Sciences and equivalent with 2 years of related working experience.
Details
Date(s): 11 Jan 2021 to 07 May 2021
Time: Refer to Class and Exam Schedules
Venue: SBS-B1N-18
Closing Date of Registration: 30 Nov 2020
Course Fee Payable:(Inclusive of GST) Refer to the course fee table

Subsidy/Funding
MOE (SBMC) No
E2I No
SSG Yes
Academic Units (AU)
Number of AU: 3
Online Registration
Closed
​​
Method of Payment
  1. Online Credit/Debit Card Payment (VISA and Mastercard only)
  2. Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus)
Withdrawal & Refund Policy

Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.

Terms and Conditions
  1. Course is subject to a minimum participation number before commencement.
  2. Course is subject to a first-come-first-serve basis.
  3. Registration is non-transferable.
  4. Student must meet all eligibility criteria for admission.
  5. Student is required to complete all assessments for each course.
  6. PaCE@NTU​ reserves the right to change or cancel any course or lecturer due to unforeseen circumstances.
  7. All details are correct at time of dissemination.
Privacy Clauses
At PaCE@NTU, participants’ personal information is collected, used and disclosed for the following purposes:
  1. To process your application.
  2. For course administration and billing.
  3. To enable the trainers to know the background of the course participants.
  4. To submit to organisations for course funding verification (only applicable to funded courses).
  5. To issue certificate to the course participants.
  6. For marketing of courses to participants via E-newsletter.
  7. To understand and study the profile of its course participants for NTU’s policy making and planning.
  8. To deal with any matter related to the course.
Full Data Protection and Privacy Statement : CLICK HERE
​​​​​​
Not sure which programme to go for? Use our programme finder
Loading header/footer ...