Introduction to Computer Programming, 8 credits (TDDE44)
Programmering, grundkurs, 8 hp
Main field of study
Computer Science and Engineering Computer ScienceLevel
First cycleCourse type
Programme courseExaminer
Jody FooDirector of studies or equivalent
Jalal MalekiCourse offered for | Semester | Period | Timetable module | Language | Campus | VOF | |
---|---|---|---|---|---|---|---|
6CMED | Biomedical Engineering, Master of Science in Engineering | 2 (Spring 2021) | 1, 2 | 2, 1 | Swedish | Linköping | o |
6CYYY | Applied Physics and Electrical Engineering, Master of Science in Engineering | 2 (Spring 2021) | 1, 2 | 2, 1 | Swedish | Linköping | o |
6KMAT | Mathematics, Bachelor's Programme | 2 (Spring 2021) | 1, 2 | 2, 1 | Swedish | Linköping | o |
Main field of study
Computer Science and Engineering, Computer ScienceCourse level
First cycleAdvancement level
G1XCourse offered for
- Master of Science in Biomedical Engineering
- Master of Science in Applied Physics and Electrical Engineering
- Bachelor's Programme in Mathematics
Prerequisites
Basic computer skills.
Intended learning outcomes
The intended purpose of this course is to facilitate and provide students with fundamental skills and knowledge pertaining to computer programming and an introduction to Computer Science. After having completed the course, the student should be able to:
- Make use of the computing environment for tasks related to programming and building basic programs
- Explain fundamental concepts related to computer science, programming, and programming languages
- Solve programming related problems by applying an interactive approach to implementation, testing and troubleshooting
- Construct abstractions using varying degree of support provided by the programming language
- Solve programming problems by breaking them down into smaller sub-problems
- Construct recursive and iterative algorithms
Course content
- A general introduction to Computer Science
- Programming fundamentals: expressions, basic datatypes, variables, functions, control structures, file management, file formats, modules
- The Python programming language
- Use of open data resources from the web
- Interactive and incremental program development
- Testing and troubleshooting
- Programming paradigms: functional, imperative and object-oriented programming
- Abstraction: Data and program abstraction
Teaching and working methods
The course consists of lectures, tutorials and laboratory sessions. Concepts and their applications are treated during lectures and tutorials. Practical skills and abilities are practiced during laboratory sessions by solving programming exercises. The course setup requires a high degree of student activity and that students engage in private studies outside of the scheduled classes.
Examination
LAB2 | Data and program abstraction/intro to object-oriented programming | U, G | 3 credits |
LAB1 | Fundamentals in programming and computer system | U, G | 3 credits |
DAT1 | Computer examination | U, 3, 4, 5 | 2 credits |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses: Programming - data structures and algorithms. Data and program structures.
About teaching and examination language
The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows:
- If teaching language is Swedish, the course as a whole or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish.
- If teaching language is Swedish/English, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English (depending on teaching language).
- If teaching language is English, the course as a whole is taught in English. Examination language is English.
Other
The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed.
The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Jalal MalekiExaminer
Jody FooCourse website and other links
http://www.ida.liu.se/Education components
Preliminary scheduled hours: 66 hRecommended self-study hours: 147 h
Course literature
Additional literature
Books
Lutz, Mark, (2013) Learning Python 5. ed. Sebastopol, Calif. : O'Reilly, 2013ISBN: 9781449355739Punch, W. F., Enbody, Richard J., (2017) The practice of computing using Python Third Edition. Boston, Mass. : Addison-Wesley/PearsonZelle, John M., (2010) Python programming : an introduction to computer science 2nd ed. Sherwood, Or. : Franklin, Beedle & Associates, 2010
ISBN: 9781590282410Zelle, John M., (2017) Python Programming : An Introduction To Computer Science Third Edition. Franklin, Beedle & Associates, 2017.
ISBN: 9781590282755,1590282752
Additional literature
Books
ISBN: 9781449355739
ISBN: 9781590282410
ISBN: 9781590282755,1590282752
LAB2 | Data and program abstraction/intro to object-oriented programming | U, G | 3 credits |
LAB1 | Fundamentals in programming and computer system | U, G | 3 credits |
DAT1 | Computer examination | U, 3, 4, 5 | 2 credits |
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