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Functional and Imperative Programming, Part 1, 6 credits
Funktionell och imperativ programmering, del 1, 6 hp
TDDE23
Main field of study
Computer Science and Engineering Computer ScienceCourse level
First cycleCourse type
Programme courseExaminer
Peter DaleniusDirector of studies or equivalent
Peter DaleniusEducation components
Preliminary scheduled hours: 46 hRecommended self-study hours: 114 h
ECV = Elective / Compulsory / Voluntary
| Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
|---|---|---|---|---|---|---|---|
| 6CDDD | Computer Science and Engineering, M Sc in Engineering | 1 (Autumn 2017) | 1 | 3 | Swedish | Linköping, Valla | C |
| 6CMJU | Computer Science and Software Engineering, M Sc in Engineering | 1 (Autumn 2017) | 1 | 3 | Swedish | Linköping, Valla | C |
Main field of study
Computer Science and Engineering, Computer ScienceCourse level
First cycleAdvancement level
G1XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Computer Science and Software Engineering, 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.
Intended learning outcomes
The aim of the course is that the students should gain enough experience in using the computer labs to facilitate future course work, and also that the students should gain basic understanding of programming. After the course, the student will be able to:
- without problems use the department computer labs
- design and implement simple algorithms in a programming language
- methodically solve programming related problems using an interactive way of work with implementation, testing and troubleshooting
- construct computer programs using Pyhon
Course content
The following topics are addressed during lectures:
- the university's IT systems
- The Python programming language
- methods for interactive and incremental program development
- methods for testing and troubleshooting
Teaching and working methods
The course starts with a short section where basic Linux skills are trained. Theoretical background is introduced during a couple of lectures, but the main work is done during laboratory sessions. After this, the main part of the course starts, dealing with basic programming skills. A series of weekly seminars constitute the backbone of the course. The different seminar groups have different approaches to learning, and the students are free to choose group, based on learning style and previous experience. The main work is done during laboratory sessions. A few lectures are given as support.
Examination
| LAB1 | Laboratory work | 5 credits | U, G |
| UPG1 | Exercises | 1 credits | U, G |
Grades are given as ”Fail” or ”Pass”.
Grades
Two-grade scale, U, GOther information
Supplementary courses: Funktionell och imperativ programmering i Python part 2.
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Peter DaleniusExaminer
Peter DaleniusCourse website and other links
http://www.ida.liu.se/Education components
Preliminary scheduled hours: 46 hRecommended self-study hours: 114 h
Course literature
Additional literature
Books
- Zelle, John M., (2010) Python Programming: An Introduction to Computer Science. Franklin, Beedle & Associates Inc
ISBN: 978-1-59028-241-0
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 5 credits | U, G |
| UPG1 | Exercises | 1 credits | U, G |
Grades are given as ”Fail” or ”Pass”.
Course literature is preliminary.
Additional literature
Books
Zelle, John M., (2010) Python Programming: An Introduction to Computer Science. Franklin, Beedle & Associates Inc
ISBN: 978-1-59028-241-0
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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X
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LAB1
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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LAB1
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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| 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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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
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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 |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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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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