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Course Detail

EE2008 Data Structures and Algorithms
Objectives
This course aims to give a systematic introduction to data structures and algorithms for constructing efficient computer programs. Emphasis is on data abstraction issues in program development process, and on the design of efficient algorithms. Simple algorithmic paradigms such as greedy algorithms, divide-and-conquer algorithms and dynamic programming will be introduced. Elementary analyses of algorithmic complexities will also be taught.
Outline
- Introduction
- Principles of algorithm analysis
- Data structures
- Searching
- Search Trees, Sorting
- Algorithm design techniques
Who Should Attend
Working Professionals with knowledge of fundamentals of mathematics
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 of fundamentals of mathematics.
Details
Date(s): 14 Jan 2019 to 10 May 2019
Time: Refer to Class and Exam Schedules
Venue: TR+94
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: 4
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 College 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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  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.
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