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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 ScienceCourse level
First cycleCourse type
Programme courseExaminer
Patrick DohertyDirector of studies or equivalent
Peter DaleniusEducation components
Preliminary scheduled hours: 50 hRecommended 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, Valla | C |
| 6CMJU | Computer Science and Software Engineering, Master of Science in Engineering | 1 (Autumn 2018) | 1, 2 | 4, 4 | Swedish | Linköping, Valla | C |
Main field of study
Computer Science and Engineering, Computer ScienceCourse level
First cycleAdvancement level
G1XCourse 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
| UPG1 | Hand-in Assignments | 2 credits | U, G |
| PRA1 | Project Work | 4 credits | U, G |
Grades are given as ‘Fail’ or ‘Pass’.
Grades
Two grade scale, older version, U, GDepartment
Institutionen för datavetenskapDirector of Studies or equivalent
Peter DaleniusExaminer
Patrick DohertyCourse website and other links
http://www.ida.liu.se/~TDDD63Education components
Preliminary scheduled hours: 50 hRecommended 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) |
|
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| 1.2 Fundamental engineering knowledge (G1X level) |
|
X
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PRA1
UPG1
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
X
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PRA1
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| 2.2 Experimentation, investigation, and knowledge discovery |
|
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
X
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PRA1
UPG1
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
|
X
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PRA1
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| 3.2 Communications |
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X
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UPG1
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
X
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
X
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PRA1
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| 4.4 Designing |
X
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PRA1
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| 4.5 Implementing |
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| 4.6 Operating |
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| 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 |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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