- Code COMP1100
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Computer Science, Information Technology, Software Engineering, Engineering, Information Systems
- Academic career UGRD
- Mode of delivery In Person
This course is the first of three core computer science courses on programming. It introduces students to the field of computer science as a discipline for solving problems through computation and provides the foundation for more advanced courses on programming and software development. Data structures and algorithms, the key concepts at the core of computer science, receive their first treatment in this course.
The course covers functional programming in depth, developing the core idea of functions operating on data structures. Students learn the organization of programming languages using types, how programs are evaluated (reduction), functional composition, recursive functions, algebraic data types, pattern matching, parametric polymorphism, higher-order functions. Students also gain exposure to asymptotic analysis of basic data structures, abstract data types, modules, laziness, and streams. The functional paradigm demonstrates elegant solutions to many programming problems.
The course also introduces students to standard productivity tools for software development that will be used throughout the course and remainder of the computer science degree. These include distributed software revision control systems.
The Advanced version of this course covers these topics in more depth, allowing students to deepen their understanding and experience.
Upon successful completion, students will have the knowledge and skills to:
- Apply fundamental programming concepts, using a functional programming language, to solve problems.
- Understand basic types and the benefits of static typing.
- Describe, understand and evolve programs, via documentation, testing, and debugging.
- Discuss, use, and apply the fundamentals of data structures, algorithms, and design; create, implement, and debug algorithms for solving problems, including recursively, using divide-and-conquer, and via decomposition.
- Discuss basic algorithmic analysis for simple algorithms; determine appropriate algorithmic approaches to a problem (for example bruteforce, greedy, divide-and-conquer, recursive backtracking, heuristic, dynamic programming).
- Understand and apply the concepts of parametric and ad-hoc polymorphism
- Assignments (3) (30) [LO 1,2,3,4,5,6]
- Lab Assessment (5) [LO 1,2,3,4,5,6]
- Mid-term exam (10) [LO 1,2,3,4,5,6]
- Final Exam (hurdle) (55) [LO 1,2,3,4,5,6]
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Thirty hours of lectures, twelve two-hour tutorial/laboratory sessions. At least the same amount of time will be required to work through the material, prepare for labs, and complete assignments.
Requisite and Incompatibility
Students are assumed to have achieved a level of knowledge of mathematics comparable to at least ACT Maths Methods major or NSW 2 unit maths or equivalent.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.