Programming 1

The course will cover the following topics:

• Basic principles of object-oriented design and object-oriented programming (OOP) - definitions and concepts in OOP (classes, objects, encapsulation)
• Modelling - Datatypes, logical conditions, loops, logical and arithmetic operations, read and write operations
• Arrays, lists and collections
• Interaction between objects
• Lambda expressions, streams and functional programming used with collections
• Basic exception handling
• Debugging and unit-testing
• Introduction to Integrated Development Environment (IDE)

Knowledge

The candidate:

• can demonstrate knowledge in OOP.
• can explain what a software program is.
• has knowledge of principles such as encapsulation, modularization and interaction of objects within object-oriented programming.
• can explain the concepts of modular architecture and its importance in software program design.
• can explain good design practices such as coupling and cohesion.
• has knowledge of typical life cycles of software design at a high level (design, development and testing).
• can model a class diagram for a given problem and can create basic UML diagrams (e.g., activity diagram, class diagram, sequence diagram, package diagrams).

Skills

The candidate:

• can set up a programming environment to develop, test and run object-oriented programs
• can use professional tools for software development, including AI-based tools, in a critical and reflective manner
• can create structured and well-documented code based on principles of good design practices
• can make use of classes, controls and interaction between objects
• can reuse classes from existing libraries and find relevant classes in API documents
• can apply basic object-oriented programming paradigms to analyse and solve simple problems.
• can apply elements from functional programming
• can test and analyse software programs through unit-testing
• can write robust code including throwing and catching exceptions (simple exception handling)
• can use an Integrated Development Environment (IDE) and debugger along with other tools to assure the quality of the code
• can apply the concepts of source control and actively use it (theory taught in IDATA1004)

General competence

The candidate:

• can explain and make use of knowledge for solving problems in simple application scenarios and across different topics.

Teaching activities every week:

• Lectures using student-active learning methods such as teacher-led programming tasks and co-coding (live coding) to solve programming tasks.
• Guided lab sessions will be conducted with teaching assistants with individual mentoring and assignment solving.

Mandatory assignments: Mandatory assignments will be provided and 90 % of the assignments must be approved to qualify for the final exam.