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Course Detail

CZ2001 Algorithms
Objectives
Algorithms are essential to Computer Science (CS) in a way that is independent of the implementation. It is crucial to learn different approaches for designing algorithms and be able to understand and analyse the time vs space vs other resource requirements. It is of course essential in the context of engineering software that the correctness of an algorithm can be proven or verified. Therefore this course shows many algorithmic techniques and methods of analysis.
Outline
Topics include but are not limited to introduction to algorithms, analysis of algorithms, sorting, searching, graphs, basic computability and complexity theory.
In general, the topics will be delivered as a series of lectures with complementary tutorials and hands-on sessions and self-learning materials.
Who Should Attend
Working professionals with prior knowledge of Discreet Mathematics and Data Structures, or have read CZ1007 Data Structures previously.

Pre-requisite: CZ1007 Data Structures
Eligibility Criteria
Admission:
At least 21 years of age
Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
Degree in Engineering/Science or Polytechnic Diploma with knowledge in Data Structures, Engineering Mathematics and Discrete Mathematics.
Details
Date(s): 14 Jan 2019 to 10 May 2019
Time: Refer to Class and Exam Schedules
Venue: TR+15
Closing Date of Registration: 18 Nov 2018
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
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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.
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