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Imperative Programming, 6 credits
Imperativ programmering, 6 hp
TDP002
Main field of study
ProgrammingCourse level
First cycleCourse type
Programme courseExaminer
Klas ArvidssonDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 62 hRecommended self-study hours: 98 h
ECV = Elective / Compulsory / Voluntary
| Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
|---|---|---|---|---|---|---|---|
| 6KIPR | Programming, Bachelor's Programme | 1 (Autumn 2017) | 1 | - | Swedish | Linköping, Valla | C |
Main field of study
ProgrammingCourse level
First cycleAdvancement level
G1XCourse offered for
- Programming, Bachelor's Programme
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
After the course the student will be able to:
- describe and use the constructs of an imperative programming language
- construct and solve problems using imperative programming
- describe basic concepts in imperative program development
Course content
Craft: Handling a programming language and its tools and documentation.
Ability to work with programming constructs and divide programs into
modules. Ability to formulate algorithms, read source code and work
with testing and debugging.
Topics: Imperativ programming with its constructs, input/output,
file handling. Data structures, such as lists, trees, graphs and
tables.
Techniques: Python, Emacs, Linux.
Teaching and working methods
The course consists of lectures, labs, dojos and own exercises.
The lectues address the central topics and techniques of the course.
Labs and exercises give the studens a lot of training of the basic
components of program development.
Examination
| LAB1 | Laboratory work | 3 credits | U, G |
| DAT1 | Computer examination | 3 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplemetary courses: Objektorienterad programmering
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Klas ArvidssonCourse website and other links
http://www.ida.liu.se/~TDP002Education components
Preliminary scheduled hours: 62 hRecommended self-study hours: 98 h
Course literature
Additional literature
Books
- Lutz, Mark, (2013) Learning Python 5. ed. Sebastopol, Calif. : O'Reilly, 2013
ISBN: 9781449355739
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 3 credits | U, G |
| DAT1 | Computer examination | 3 credits | U, 3, 4, 5 |
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.
Course literature is preliminary.
Additional literature
Books
Lutz, Mark, (2013) Learning Python 5. ed. Sebastopol, Calif. : O'Reilly, 2013
ISBN: 9781449355739
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
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| 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) |
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DAT1
LAB1
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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 |
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LAB1
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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 |
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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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