Introduction to information systems for the management and exploitation of data and information, and to relational databases.
Information and communications technology (ICT) impacts almost every facet of our
day-to-day lives. Virtually all aspects of business, health, entertainment and society
rely upon some form of ICT to manage and coordinate vast resources of data and information.
This paper provides an entry into the world of ICT and explores topics including:
computability, data analysis, information storage and processing, and database management
techniques (with emphasis on relational databases). No previous experience in ICT
is required, and the skills developed in this paper are taught in a self-contained
manner. Upon completion of this paper, students will have developed simple information
systems to manage the information processing requirements of a small-business exemplar.
These skills can be further developed through continued study of an ICT-related discipline
(eg Information Science or Computer Science).
Students from all disciplines would benefit from this paper; even if you're not majoring in an ICT discipline, enrolling in this paper will give you the fundamental skills to help navigate our ICT-centric world.
|Paper title||Foundations of Information Systems|
|Subject||Computer and Information Science|
|Points||18 points 18 points 18 points|
|Teaching period(s)||First Semester, Second Semester, Summer School|
|Domestic Tuition Fees (NZD)||$1,038.45|
|International Tuition Fees (NZD)||$4,492.80|
- BSNS 106
- Schedule C
- Arts and Music, Commerce, Science
- Pending approval, this paper may be offered for 2018 Summer School.
- Course outline
- View the most recent Course Outline
- Paper Structure
- More information link
- Co-ordinator: firstname.lastname@example.org
- Teaching staff
- Co-ordinator: Dr Grant Dick
Chris Edwards, Gary Burrows, Dr Nigel Stanger
- Teaching Arrangements
- First and Second Semesters:
Two 1-hour lectures per week
One 2-hour lab per week
Four 1-hour lectures per week
Two 2-hour labs per week
- Textbooks are not required for this paper.
- Graduate Attributes Emphasised
- Information literacy, scholarship, ethics, self-motivation.
View more information about Otago's graduate attributes.
- Learning Outcomes
- Students who successfully complete the paper will be able to
- Explain different types of data; the distinctions between data, information, business intelligence and knowledge; and the ways in which data is used by organisations, including business intelligence and decision support
- Explain the process of data collection and identify issues relating to data quality, ethics, privacy and security
- Analyse data to extract information and business intelligence
- Explain the range of information systems (IS), their components and their role in supporting organisations to add value and support their strategy
- Explain different IS-related roles and the associated skills and attributes
- Explain basic concepts of relational databases, comprehend entity-relationship diagrams and use them to model data requirements, implement these requirements using a relational database system, and be able to read and write basic SQL statements
- Understand contemporary trends, such as big data, cloud computing, green computing and the Internet of Things, and their implications for individuals and organisations
- Appreciate the issue of security, the range of threats, mitigation strategy and encryption
- Understand basic concepts of information processing (eg algorithm, programming language, compiler)