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UC2OOP10 Object Oriented Programming

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
  1. 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.
  2. All activities require active student participation in their own learning.
  3. Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
  4. 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
  1. 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
  2. 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).
  3. 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.

ActivityDuration
Teacher-led activity
24
Teacher-supported work
48
Self-study
178
Work Requirements

Mandatory Assignments are assessed as Approved or Not Approved.

NameRequirementScopeRequirement typeComment
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 assessmentGrading scaleGroupingDuration of assessment
Online Exam
A-F
Report
A-F