Singapore University of Social Sciences

Data Structures and Algorithms I (MTH251)

Applications Open: 01 October 2019

Applications Close: 30 November 2019

Next Available Intake: January 2020

Course Types: Modular Undergraduate Course, SkillsFuture Series

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Science & Technology

Schemes: Alumni Continuing Education + (ACE+), Lifelong Learning Credit (L2C)

Funding: SkillsFuture


Synopsis

MTH251 will provide students with an understanding of the common algorithms and data structures used in information technology. The topics covered are of central importance for many applications in data analytics and information technology. The course gives a comprehensive introduction to algorithm analysis, basic data types such as stacks, queues and trees and how these data types are implemented with linked lists. Codes will be written and presented in Python.

Level: 2
Credit Units: 5
Presentation Pattern: Every January

Topics

  • Algorithm Analysis
  • Asymptotic Analysis
  • Analysing Recursive Algorithms
  • Designing Recursive Algorithms
  • Array-Based Sequences
  • Multidimensional Data Sets
  • Stacks
  • Queues
  • Linked Lists
  • Positional Lists
  • Trees
  • Tree Traversal Algorithms

Learning Outcome

  • Describe and implement basic data structures in Python.
  • Discuss the advantages and disadvantages of basic data structures.
  • Analyze the efficiency and complexity of different algorithms.
  • Interpret given algorithms and identify errors in program codes.
  • Solve problems using recursive algorithms.
  • Implement appropriate data structures codes to store and process information.
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