UC2OOP10 Object Oriented Programming

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UC2OOP10 Object Oriented Programming

Course description
- NQF Level
  Bachelor's degree (Level 6 1. Cycle)
- Area of Study
  Computing
- Program of Study
  Applied Data Science
- ECTS
  10
- Campus
  Kristiansand, OnlinePLUS - Oslo, Online
- Course Leader
  Johan Van Niekerk

Introduction

Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.

Included in the following bachelor's degrees:

Applied Data Science

Course Aim(s)

The course introduces the principles and practice of Object-Oriented Design and Development. In particular, this course will consider fundamental OO principles and design patterns. By the end of this course students will be able to analyse and decompose programming problems, in order to design and implement solutions in an object-oriented programming language.

Course Learning Outcomes

Knowledge

The student has knowledge of

K1	OO principles and concepts.
K2	OO abstractions for concurrency and user interaction.
K3	how to implement OO principles and concepts within programming language(s).
K4	a selection of OO design patterns.

Skills

The student gain skills in

S1	ability to select and implement appropriate tools and techniques in order to design and develop OO applications.
S2	apply appropriate OO Design Patterns in order to develop software solutions for a selection of problems.
S3	critically evaluate OO designs and implemented solutions and reflect upon personal skills development.

General Competence

The student can demonstrate

G1	a logical scientific approach to software development.
G2	presenting and communicating OO solutions to specified problems.
G3	principles of good OO software design in order to create robust, maintainable code.

Course Topics

Introduction to Object Oriented Programming
Design Patterns
Advanced Object Oriented Programming

Teaching Methods

Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
All activities require active student participation in their own learning.
Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.

Resources and Equipment

Learning resources are available in the LMS and include, but is not limited to:
- literature and online reading material (essential and recommended)
- streams, recordings and other digital resources, where applicable
- video conferencing and communication platforms, if applicable
- tools, software and libraries, where applicable
Students must have access to an internet connection, and suitable hardware.
- Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.

Prerequisite Knowledge

UC1PR210 Programming and Databases, or equivalent course(s).

Reading List

The reading list for this course and any additional electronic resources will be provided in the LMS.

Study Workload

250 nominal hours.
Study workload applies to both Campus and Online students.

Activity	Duration
Teacher-led activity	24
Teacher-supported work	48
Self-study	178

Work Requirements

Mandatory Assignments are assessed as Approved or Not Approved.

Name	Requirement	Scope	Requirement type	Comment
Mandatory Assignment			Course requirement

Assessment Strategy

All mandatory assignments must be passed in order to attempt the exam.
This course has two (2) exams contributing towards the overall and final grade of the course.

All exams must be assessed as passed to receive the final Course Grade.

Form of assessment	Grading scale	Grouping	Duration of assessment
Online Exam	A-F
Report	A-F