Software Engineering Fundamentals
Syllabus, Bachelor's level, 2IS232
- Code
- 2IS232
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Information Systems G1N, Software Engineering G1N
- Grading system
- Fail (U), Pass (G), Pass with distinction (VG)
- Finalised by
- The Department Board, 25 January 2024
- Responsible department
- Department of Informatics and Media
Entry requirements
General entry requirements and Mathematics 3b or 3c/Mathematics C, Social Studies 1b or 1a1+1a2, English 6
Learning outcomes
Regarding knowledge and understanding the student is expected to be able to on completion of the course:
- explain the architecture and function of computer systems,
- account for digital representation of information,
- describe notations such as pseudocode and flowcharts.
Regarding competence and skills the student is expected to be able to on completion of the course:
- carry out common arithmetic and logical operations on binary, octal and hexadecimal numbers,
- systematically apply problem solving methodology,
- interpret, describe and model algorithms using notations such as pseudocode and flowcharts.
Content
The course deals with how computers function as a system of interacting components, as well as gives insight into the function of the microprocessor. Various types of software are discussed. Further, the concepts of high level programming language, compilation and machine code are used to illustrate how software, software development, and execution of machine code in the microprocessor are linked.
Furthermore, the course deals with how information is digitally represented. The starting point is training in the binary number system including basic arithmetic and logical operations on binary numbers. Also, hexadecimal and octal numbers are used to give the students a general understanding of positioning systems. Further, the concept data type, different data types, and related operators are included.
Based on the microprocessor's working method and representation of data students work with different methods to interpret and model algorithms. The work with algorithms is dealt with as part of a general problem solving methodology where a structured problem is formulated from natural language problems and later modelled into an algorithm that solves the problem.
Instruction
The teaching is given as lectures and laboratory work.
Assessment
The course is examined through laboratory work, assignments and written exam.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator or a decision by the department's working group for study matters.