Course syllabus adopted 2019-02-21 by Head of Programme (or corresponding).
Overview
- Swedish nameObjektorienterad programmeringsteknik i Python
- CodeDAT171
- Credits7.5 Credits
- OwnerTKMAS
- Education cycleFirst-cycle
- Main field of studyAutomation and Mechatronics Engineering, Computer Science and Engineering, Electrical Engineering
- DepartmentINDUSTRIAL AND MATERIALS SCIENCE
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 55135
- Block schedule
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0114 Written and oral assignments 3 c Grading: UG | 3 c | ||||||
0214 Examination 4.5 c Grading: TH | 4.5 c |
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In programmes
Examiner
- Thomas Svedberg
- Researcher, E-commons, Physics
Eligibility
General entry requirements for bachelor's level (first cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
The same as for the programme that owns the course.Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
Good knowledge of basic programming structures such as variables, conditions, loops, and functionsin any programming language.
Aim
The aim of the course is to provide the students with good opportunities to develop a fundamental understanding of object-oriented programming, particular in Python and how to use standard libraries for development of graphical user interfaces, numerical computations and plotting.Learning outcomes (after completion of the course the student should be able to)
After successfully passing the course, the student should- be able to independently from a problem formulation write objectoriented software using Python
- be able to read and use reference literature for the Python programming language as well as
- be able to use the SciPy/NumPy package for numerical computations and PyQt for writing graphical user interfaces.
Content
- Basic building blocks of a Python program (variables, conditional statements, loops, libraries, catching errors).
- Data structures (trees, dictionaries, queues, tuples)
- Object Oriented programming (classes, objects, inheritance, polymorphism, abstract classes).
- PyQt for creating graphical user interfaces
- NumPy (Matrices, vectors, linear algebra)
- SciPy (Package for numerical computations)
- Matplotlib (Plotting)
- Interactive Python (ipython)