This paper provides an introduction to the methods and technologies used to build the information systems that run our modern world. Together with COMP160, it forms the basis of the major computing degrees at Otago (Computer Science, Information Science and Software Engineering). In COMP101, you will learn how data is encoded for computer processing, the basics of algorithms and how machines execute algorithms to process data. In addition, you will learn the fundamental concepts of storing and managing data using relational databases, and how to manipulate these databases using query language. Finally, you will examine contemporary issues in Information and Communication Technology (ICT) and discuss how use of ICT impacts on our daily life.
While COMP101 is targeted directly at students intending to complete a computing degree at Otago, it should be of interest to any students wanting to gain a stronger understanding of how information is stored and manipulated in computer based systems.
Dr Grant Dick
|In-class tests (2x 5% and 1x 10%)||20%|
|Assignments (2x 10%)||20%|
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)||$1,059.15|
|International Tuition Fees (NZD)||$4,627.65|
- BSNS 106
- Schedule C
- Arts and Music, Commerce, Science
- Pending approval, this paper may be offered for 2018 Summer School.
- Co-ordinator: email@example.com
- Teaching staff
- Co-ordinator: Associate Professor Tony
Chris Edwards, Gary Burrows, Mark George
- 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.
- Course outline
- View the most recent Course Outline
- 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 the distinctions between data, information and knowledge
- understand basic concepts of computational approaches to information processing (e.g. binary encodings, algorithms and complexity, tool chains to develop computer programs)
- perform elementary processes of data collection, and identify issues relating to data quality, including ethics, privacy and security
- understand basic concepts of modelling, implementing and using relational databases, and be able to read and write basic SQL statements to manipulate relational databases
- explain the basic components of information systems, and the role of information systems in supporting an organisation’s strategic and operational needs
- explain contemporary trends such as big data, cloud computing, the Internet of Things, and their implications for individuals and organisations