units
FIT4010
Faculty of Information Technology
Monash home | About Monash | Faculties | Campuses | Contact Monash |
Staff directory | A-Z index | Site map |
6 points, SCA Band 2, 0.125 EFTSLRefer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
SynopsisAlgorithms are the most fundamental area for all aspects of computer science and software engineering. Discrete structures, such as those treated in graph theory, set theory, combinatorics and symbolic logic form the mathematical underpinning of the study of algorithms. As well-designed algorithms and data structures are essential for the good performance of an information system, an in-depth understanding of the theoretical properties of algorithms is essential for any computer scientist. As importantly, the theoretical investigation of algorithms leads to a deeper understanding of problem structures and classes of problems and the knowledge of a large variety of algorithm types enables the designer to approach a new problem from different angles. Topics for this unit include: Computability and Complexity Automata Theory Advanced Analysis and Design of Algorithms Parallel and Distributed Algorithms Numerical Algorithms Cryptographic algorithms Spatial/geometric algorithms Objectives
At the completion of this unit students will have:
AssessmentAssignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report. Contact hours2 hrs lectures/wk, 1 hr laboratory or tutorial/wk PrerequisitesCompletion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator. Additional information on this unit is available from the faculty at: |