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COSC242 Algorithms and Data Structures

Programming in C; structured data types including hash tables, trees, and graphs; analysis of standard sorting and searching algorithms; greedy algorithms and dynamic programming.

This paper extends the variety of data types familiar from COSC 241 and looks more closely at the algorithms that operate on them. Among the new data types to be treated are balanced search trees and graphs. The performance of algorithms is a unifying theme throughout. Students taking this paper will be introduced to another programming language - all practical work will be done in C.

Paper title Algorithms and Data Structures
Paper code COSC242
Subject Computer Science
EFTS 0.15
Points 18 points
Teaching period Semester 2 (On campus)
Domestic Tuition Fees (NZD) $1,092.15
International Tuition Fees (NZD) $5,004.75

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COSC 241
Recommended Preparation or Concurrent Study
One MATH, STAT or COMO paper
Schedule C
Arts and Music, Commerce, Science
Computer Science Adviser
Teaching staff

Course Co-ordinator and Lecturer: TBAProfessional Practice Fellow: Iain Hewson

Paper Structure

The main topics are:

  • Efficiency of algorithms
  • Using proof by contradiction, proof by induction and the iteration method to classify time complexity functions
  • Paradigms in algorithm design, such as divide-and-conquer, greedy strategies and dynamic programming
  • Hashing
  • Binary tres and binary search trees
  • Self-balancing trees
  • Graph algorithms that extend depth-first and breadth-first traversals
  • P and NP


  • Programming Assignment 15%
  • Practical Tests (3) 3%, 8% and 8%
  • Other Lab Assessments 6%
  • Final Exam 60%
Teaching Arrangements
There are two lectures and two labs per week.
Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein - 3rd edition, MIT Press/McGraw-Hill

For Reference:
The C Programming Language, by Kernighan and Ritchie.
The Unix Programming Environment, by Kernighan and Pike
Course outline
View the course outline for COSC 242
Graduate Attributes Emphasised
Lifelong learning, Scholarship, Communication, Critical thinking, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes
This paper will enable students to:
  • Implement a range of data structures and algorithms using the C programming language
  • Classify familiar algorithms in terms of efficiency and present big-O calculations in a clear and logical manner
  • Use proof by contradiction and proof by induction to support efficiency calculations
  • Critically evaluate the factors that should be taken into account when deciding on the data structures and/or algorithms to use for a given purpose
  • Demonstrate understanding of a variety of algorithm designs for optimisation
  • Articulate the differences between complexity classes such as P and NP

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Semester 2

Teaching method
This paper is taught On Campus
Learning management system

Computer Lab

Stream Days Times Weeks
Attend one stream from
A1 Tuesday 09:00-10:50 28-34, 36-41
A2 Tuesday 12:00-13:50 28-34, 36-41
A3 Tuesday 14:00-15:50 28-34, 36-41
AND one stream from
B1 Friday 09:00-10:50 28-34, 36-41
B2 Friday 12:00-13:50 28-34, 36-41
B3 Friday 14:00-15:50 28-34, 36-41


Stream Days Times Weeks
A1 Monday 11:00-11:50 28-34, 36-41
Thursday 11:00-11:50 28-34, 36-41


Stream Days Times Weeks
A1 Monday 16:00-16:50 28-34, 36-41