Perspectives to Computer and Software Technology, 6 credits

Perspektiv på data- och mjukvaruteknik, 6 hp

TDDE25

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Patrick Doherty

Director of studies or equivalent

Peter Dalenius

Education components

Preliminary scheduled hours: 50 h
Recommended self-study hours: 110 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CDDD Computer Science and Engineering, Master of Science in Engineering 1 (Autumn 2018) 1, 2 4, 4 Swedish Linköping C
6CMJU Computer Science and Software Engineering, Master of Science in Engineering 1 (Autumn 2018) 1, 2 4, 4 Swedish Linköping C

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G1X

Course offered for

  • Master of Science in Computer Science and Engineering
  • Master of Science in Computer Science and Software Engineering

Prerequisites

Although there are no prerequisites, this course will be run in parallel with the introduction to programming course and be tightly integrated with it.

Intended learning outcomes

The main goal of this course is to give the students a broad overview and survey of computer science and computer engineering. It is intended to provide a foundation for understanding both the relevance and interrelationships of fundamental topics and future courses the students will be exposed to in this field. At the end of this course, the student will be able to:

  • Explain on a basic level both the breadth and depth of computer science and engineering as a field.
  • Show a practical understanding of “computational thinking” as a way to model, solve problems and write software programs.
  • Demonstrate this practically by participating in a software programming project related to one or more of the topics presented during the lectures.

Course content

The following will be covered during the course:

  • Selected perspectives topics in computer science and engineering presented at seminars
  • Seminars reinforcing the use of “computational thinking” in modeling, problem-solving and programming.
  • Practical guidance for the programming projects presented at seminars
  • Introduction of the concept of sustainable development in computer science and engineering. 

 

Teaching and working methods

The course will be organized around perspectives seminars and a programming project consisting of both a programming part and a written part. The programming project will be integrated with the introductory programming course that is taken in parallel with this course. The course will end with a full day conference in which each of the student groups will present their programming projects to all course participants. A selection of take-home questions related to the perspectives topics will be distributed. The final conference is obligatory to attend.

Examination

UPG1Hand-in Assignments2 creditsU, G
PRA1Project Work4 creditsU, G
Grades are given as ‘Fail’ or ‘Pass’.

Grades

Two grade scale, older version, U, G

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Peter Dalenius

Examiner

Patrick Doherty

Course website and other links

http://www.ida.liu.se/~TDDD63

Education components

Preliminary scheduled hours: 50 h
Recommended self-study hours: 110 h

Course literature

Books

  • J. Glenn Brookshear, Computer Science: An Overview Latest Edition
    Selected readings. To be distributed.
Code Name Scope Grading scale
UPG1 Hand-in Assignments 2 credits U, G
PRA1 Project Work 4 credits U, G
Grades are given as ‘Fail’ or ‘Pass’.

Books

J. Glenn Brookshear, Computer Science: An Overview Latest Edition

Selected readings. To be distributed.

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)

                            
1.2 Fundamental engineering knowledge (G1X level)
X
PRA1
UPG1

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

                            
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

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
PRA1
UPG1

                            
2.5 Ethics, equity, and other responsibilities

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

                            
3.2 Communications
X
UPG1

                            
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

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management
X
PRA1

                            
4.4 Designing
X
PRA1

                            
4.5 Implementing

                            
4.6 Operating

                            
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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