Software Engineering Project, 8 credits

Programutvecklingsprojekt i ett helhetsperspektiv, 8 hp

TDDD76

The course is disused.
All instances mentioned below are cancelled.

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Kristian Sandahl

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 177 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV N.B.
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED
6CITE Information Technology, M Sc in Engineering 8 (Spring 2017) 1, 2 2, 2 Swedish Linköping, Valla E CANCELLED

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G2X

Course offered for

  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Basic knowledge of software engineering theory. The student must be well acquainted with programming in at least one high level language and must have used advanced algorithms and data structures.

Intended learning outcomes

After the course a student shall be able to:

  • analyze, limit, plan, perform, and document experiences from a small software project with an external customer,
  • work in a group and communicate in written and orally,
  • finish project work within a given time frame
  • identify different types of activities of a software project, e.g. requirements analysis, design, and test,
  • describe the dependencies between the activities,
  • describe how the results of an activity should be documented,
  • describe how processes are adapted and documented.

Course content

Software development methodology, processes, leadership, team organization, written and oral presentation

Teaching and working methods

A project course that spans over the spring semester. Only a few lectures and seminars are planed. Remaining time is spent on project work. Each project team hands in artefacts that are examined and graded. There is a strict deadline for each artefact.
The course runs over the entire spring semester.
A group of seven or eight students develops a software system. The project is based on a real problem and it is carried out with realistic assumptions, e.g. with a customer that needs the system. A published development process is adapted and followed. During seminars the groups present their achievements. An experience report concludes the course.
Each group presents their work from different perspectives during the series of seminars, where other groups are serving as opponents. Each student must have completed at least one presentation and one opposition. Presence in the seminars is mandatory.
The work is conducted both individually and in groups with guidance from the tutor. Students are required to sign agreements with the client about the secrecy and the right of exploitation according to the wishes of the client.

Examination

PRA1Project8 creditsU, G
Grades are given as ’Fail’ or ’Pass’.

Grades

Two-grade scale, U, G

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Kristian Sandahl

Education components

Preliminary scheduled hours: 36 h
Recommended self-study hours: 177 h

Course literature

Kursdeltagarna väljer själva källor i dialog med handledare.
Code Name Scope Grading scale
PRA1 Project 8 credits U, G
Grades are given as ’Fail’ or ’Pass’.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Kursdeltagarna väljer själva källor i dialog med handledare.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
PRA1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
X
PRA1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
PRA1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
PRA1

                            
2.3 System thinking
X
PRA1

                            
2.4 Attitudes, thought, and learning
X
X
PRA1

                            
2.5 Ethics, equity, and other responsibilities
X
PRA1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
PRA1

                            
3.2 Communications
X
PRA1

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
PRA1

                            
4.2 Enterprise and business context
X
PRA1

                            
4.3 Conceiving, system engineering and management
X
PRA1

                            
4.4 Designing
X
PRA1

                            
4.5 Implementing
X
PRA1

                            
4.6 Operating
X
PRA1

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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