Advanced Python Programming (5 cr)
Code: TE00BR45-3004
General information
- Enrollment
- 01.12.2022 - 26.02.2023
- Registration for the implementation has ended.
- Timing
- 27.02.2023 - 10.05.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 15 - 40
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Information and Communication Technology
- Teachers
- Tiina Ferm
- Course
- TE00BR45
Evaluation scale
H-5
Content scheduling
During the course, we use the book Professional Python by Luke Sneeringer, Wros 2016, 1st ed. Available in Finna as ebook.
Weekly topics:
1. decorators CH 1
2. context managers CH2
3. generators CH 3
4. magic methods CH 4
5. procedural programming
6. object-oriented programming CH 6
7. object-oriented programming CH 7
8. functional programming
9. strings CH 8
10. regular expressions CH 9
Objective
After completing the course, the student can:
*describe the most important software application types and their typical features
*discuss the selection of a proper solution technology
*define data types and data structures and apply them in programs
*read program code written by someone else
*utilize decision and control structures
*recognize the most important object-oriented concepts
*design and implement software applications
*write programs that are fault tolerant
Content
*Python modules: their rationale, function, how to import them in different ways, and present the content of some standard modules
*the object-oriented approach – foundations: classes, methods, objects, and the standard objective features
*strings and their specific methods
*exception handling
*working with files
Materials
Professional Python by Luke Sneeringer, Wrox 2016. 1st edition
Selected links in itslearning
Exam schedules
No exam
Pedagogic approaches and sustainable development
learning by coding
Student workload
Introduction to the course 3h
Contact hours 4h/week (onsite and online)
Independent coding 8h/week
Total 135 h
Evaluation methods and criteria
10 topics each total 10p
3 programming assignments 1p
1 programming assignment 2p
1 programming assignment 5p
Total 10*10p
Assignments returned on time are evaluated.
Failed (0)
< 40 points
Assessment criteria, satisfactory (1-2)
40-59 points
Assessment criteria, good (3-4)
60-79 points
Assessment criteria, excellent (5)
>80 points
>90 points + 1 cr
Qualifications
Introduction to Programming or equivalent competence in basics of Python