Course code: 507109 | Subject title: DATA STRUCTURES | ||||
Credits: 6 | Type of subject: Mandatory | Year: 1 | Period: 2º S | ||
Department: Estadística, Informática y Matemáticas | |||||
Lecturers: | |||||
PINA CALAFI, ALFREDO (Resp) [Mentoring ] | AMOZARRAIN PEREZ, UGAITZ [Mentoring ] |
Stack and Queues. Tree programming. Graphs. Recursion. Modularity. Introduction to file handling.
Methodology-Activity |
Attendance (hours) |
Self-study (hours) |
A1- Lecture / Collaborative classes |
26 |
|
A2- Lab Sessions |
30 |
|
A3- Study and autonomous work of the student |
|
86 |
A4- Tutoring |
|
4 |
A5- Assessment tests |
4 |
|
Total |
60 |
90 |
Learning outcome |
Assessment activity |
Weight (%) | It allows test resit |
Minimum required grade |
---|---|---|---|---|
RA8, RA9, RA10, RA12, RA13 |
Theoretical/Practical exam (Individually performed). |
50 | YES | 5 |
RA8, RA9, RA10, RA11, RA12, RA13 |
Deliverables and practical exams |
40 | NO | |
RA8, RA9, RA10, RA11, RA12, RA13 |
Continuous assessment. Active participation in the course |
10 | NO |
The practical sessions will consist of developing a series of projects to be carried out either in 1, 2 or 3 weeks. They will serve to apply all the theoretical concepts and strengthen the knowledge of structured programming with Python. The projects will be known at the beginning of the course, and all the technical features will be introduced, and progressively solved, in each session.
Access the bibliography that your professor has requested from the Library.
The basic bibliography of the course is:
The complementary bibliography of the course is: