Stage I courses - The University of Auckland

Stage I courses You must take COMPSCI 101 - Principles of Programming followed by COMPSCI 105 - Principles of Computer Science (or COMPSCI 107 - Computer Science Fundamentals) if you plan to major in Computer Science. Note: You must pass the practical (labs and assignments) and the theory (test and exam) sections separately to pass the course as a whole for all Stage I COMPSCI courses. Key to course code information COMPSCI

Computer Science course

101-111

Stage I level courses

210-280

Stage II level courses

313-380

Stage III level courses

SS

Summer School

S1

Semester 1

S2

Semester 2

C

City Campus

T

Tāmaki Innovation Campus

COMPSCI 111/111G An Introduction To Practical Computing

SS C, S1 C, S2 C

A practical introduction to computing that will build confidence and familiarity with computers. Topics include: website design, an overview of computer hardware and operating systems, effective use of common applications, using the Internet as a communication medium, applying programming concepts, and social implications of technology. As part of their practical work, students will create web pages, and develop skills with a variety of home and office applications including word processing, spreadsheets, PowerPoint and databases. Prerequisites

None

Assessment

20% lab assignments, 20% test, 60% examination

Coordinator

Ann Cameron

Required Text

A course book and lab manual can be purchased from the University Book Shop.

Note

There are three lectures per week, and students will be required to attend one three-hour laboratory per week.

Important

You must pass the practical (labs) and the theory (test and exam) sections separately to pass the course as a whole.

Web

www.cs.auckland.ac.nz/courses/compsci111s1c/

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COMPSCI 101 Principles of Programming SS C This course introduces computer programming in the Java programming language. The main focus is on learning to understand the detailed requirements of a programming task, and writing programs that are well structured, correct and easy to read. The course covers simple variables, expressions, input and output, control structures and methods, an introduction to the standard Java classes, single dimensional arrays and graphical user interface programming. Assessment

15% assignments, 10% labs, 15% test, 60% exam

Required Text

The coursebook and a code examples booklet can be purchased from the University Book Shop.

S1 C, S2 C This course introduces computer programming using the Python programming language. The main focus is on learning to understand the detailed requirements of a programming task, and writing programs that are well structured, correct and easy to read. The course covers simple variables, expressions, input and output, control structures, functions, using standard data structures such as lists and dictionaries, and using standard Python modules. Assessment

25% labs, 15% test, 60% exam

Required Text

TBA

Important

You must pass the practical and the theory (test and exam) sections separately to pass the course as a whole.

Web


Note

Students who have a B+ grade or better in COMPSCI 101 may apply for a concession to enrol in COMPSCI 210 concurrently with COMPSCI 105.

This course has a significant practical component. Students attend three lectures and one two-hour lab session per week. Extra practical work can be done either in the Computer Science laboratory or on a modern computer elsewhere. COMPSCI 105 Principles of Computer Science SS C, S1 C The 105 course must be taken by all students wishing to advance in Computer Science. It extends the programming skills of the Principles of Programming course, emphasising good software design through an appreciation of data structures and code efficiency. The course provides an introduction to multidimensional arrays, exception handling, recursion, and file input and output. The importance of abstraction and abstract data types is illustrated through the study of traditional data structures (such as lists, stacks, queues, trees, priority queues, heaps and hash tables). The performance characteristics of different implementations of these data structures are studied, aided by an introduction to the performance of searching and sorting algorithms. Assessment

25% assignments, 10% test and 65% exam

Required Text

Data Abstraction and Problem Solving with Java: Walls & Mirrors (2nd edition) Frank M. Carrano & Janet J. Pritchard - Addison Wesley

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S2 C The 105 course must be taken by students who have completed 101 and wish to advance in Computer Science. It extends the programming skills of the Principles of Programming course, focusing on data structures and efficient ways to manipulate data. The course is taught using Python. Topics include: recursion, regular expressions, data interchange, abstract data types, linear data structures (lists, stacks, queues), non-linear data structures (heaps, hash tables, trees), searching and sorting. Assessment

25% labs, 15% test, 60% exam

Required Text

TBA

Prerequisites

COMPSCI 101

Important

You must pass the practical and the theory (test and exam) sections separately to pass the course as a whole.

Web


This course has a significant practical component. Students attend three lectures and one tutorial/lab per week. Extra practical work can be done either in the Computer Science laboratory or on a modern computer elsewhere.

COMPSCI 107 Computer Science Fundamentals

S1 C

This is the entry course to Computer Science for students with prior programming knowledge. It focuses on data structures and efficient ways to manipulate data. Topics include: a brief recap of programming concepts, recursion, regular expressions, data interchange, abstract data types, linear data structures (lists, stacks and queues), non-linear data structures (heaps, hash tables, trees), searching and sorting. Prerequisites

Achievement Standards NCEA Level 3: Digital Technologies and Programming : 91637 Develop a complex computer program for a specified task, 91636 Demonstrate understanding of areas of computer science, or equivalent programming experience, or Departmental approval

Assessment

25% assignments, 15% test and 60% exam

Important

You must pass the practical (labs) and the theory (test and exam) sections separately to pass the course as a whole.

Web


This course has a significant practical component. Students attend three lectures and one two-hour lab session per week. Extra practical work can be done either in the Computer Science laboratory or on any modern computer elsewhere.

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