Syllabus for Software Engineering Fundamentals

Programvaruteknisk baskurs

Syllabus

  • 7.5 credits
  • Course code: 2IS232
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Software Engineering G1N, Information Systems G1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (G), Pass with distinction (VG)
  • Established: 2017-11-03
  • Established by:
  • Revised: 2021-04-08
  • Revised by: The Department Board
  • Applies from: Autumn 2022
  • Entry requirements: General entry requirements and Mathematics 3b or 3c/Mathematics C, Social Studies 1b or 1a1+1a2, English 6
  • Responsible department: Department of Informatics and Media

Decisions and guidelines

The course is included in the following degree programme:

  • Bachelor's Programme in Information Systems, specialisation software engineering 180 credits
  • Bachelor's Programme in Digital Business Development

Be given also as a freestanding course

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 text, image, sounds and documents,
  • be able to account for various types of software and explain their role in computers.

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,
  • develop structured problem descriptions and model algorithms.

Regarding judgement and approach the student is expected to be able to on completion of the course:

  • relate conceptual models of algorithms to their implementations

Content

The course generally deals with how computers function as a system of interacting components, as well as give 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 to illustrate how software, software development, and execution of machine code in the microprocessor are linked.

Furthermore, the course deals with how text, image, sounds, and documents are represented in the memory of the computer. 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 more general understanding of positioning systems. Further, the concept data type as well as different data types and related operators are included.

Based on microprocessor's working method and representation of data students work with different methods to interpret and model algorithms. A reflection between conceptual representations of algorithms are included and related to implementations in high level language. 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.

Reading list

Reading list

Applies from: Autumn 2022

Some titles may be available electronically through the University library.

  • Petzold, Charles Code : the hidden language of computer hardware and software

    Paperback edition.: Redmond, Washington: Microsoft Press, [2000]

    Find in the library

    Mandatory

  • Brookshear, J. Glenn; Brylow, Dennis Computer science : an overview

    13th edition.: NY, NY: Pearson, [2020]

    Find in the library

    Mandatory

  • Bergman, Marina Att studera på högskolan : studieteknik och motivation på vägen

    Tredje upplagan: Lund: Studentlitteratur, [2022]

    Find in the library

    Mandatory