The graduation in Mathematics at the University of Oviedo: syllabus and general information' - PowerPoint PPT Presentation

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The graduation in Mathematics at the University of Oviedo: syllabus and general information'

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Title: The graduation in Mathematics at the University of Oviedo: syllabus and general information'


1
The graduation in Mathematics at the University
of Oviedo syllabus and general information.
  • Susana Montes
  • Dept. of Statistics and O.R.
  • University of Oviedo (SPAIN)

2
Experience
1993 1994 1995 1996 1997 1998 1999 2000
2001 2002 2003 2004
Department of Statistics, Operational Research
and Didactics of Mathematics
(University of Oviedo)
  • Probability and Statistics I for Graduate in
    Mathematics.
  • Multivariate Analysis for Graduate in
    Mathematics.
  • Statistics for Diploma in Computer Sciences.
  • Computational Statistics for Diploma in Computer
    Sciences.
  • Biostatistics for Graduate in Biochemistry.
  • Statistics for Graduate in Chemistry.
  • Lineal Algebra for Industrial Engineer.
  • Operational Research for Industrial Engineer.
  • Statistical Methods for Industrial Engineer.
  • Quality Control for Industrial Engineer.
  • Methodology of the Research in Computer Sciences
    for PostGraduate Studies in Computer Sciences.

Dept. of Applied Mathematics (Univ. Valladolid)
3
Localization Europe
4
Localization Spain
ASTURIAS
5
Localization Asturias
GIJÓN
OVIEDO
Campus of the University of Oviedo
6
Localization Oviedo
University of Oviedo Faculty of Sciences
Graduate in Mathematics Graduate in Physics
7
New enrolled students
There are not numerus clausus from 1999 (80),
so, all the students who like to enrol them are
admitted.
Number of new enrolled students
  • The number of new enrolled students is
    decreasing, as it happens in almost all the
    Faculties of Mathematics in Spain. Some of the
    reasons for this decreasing could be
  • Birth rate index is progressively decreasing.
  • The number of different graduations at the
    University of Oviedo is increasing.
  • Students consider these studies too difficult
    according to the average difficulty of other
    studies.

8
Teachers (2001/2002)
9
Classrooms (2001/2002)
10
Syllabus Graduate in Mathematics
  • Publication year of the syllabus 1991.


1990 2000
2010
11
Syllabus
CORE
1stC Y C L E
1st year
2nd year
SPECIAL I TY
2ndC Y C L E
3rd year
4th year
12
Credit distribution chart


Proposals 125 actual credit 1 European Credit
Transfer System (ECTS) credits
1 credit 10 hours of lectures
1 credit 25-30 hours of lectures and self-study
13
hours per week
The average is 30, but it can be 35 and 25, 24
and 36, . It depends on the elective and free
choice courses.
14
Academic calendar 2004/2005
for students. Exam periods.
1st enrolment
X
X
X
X
X
X
X
If it is the last course to be graduated.
2nd enrolment.- They can only applied for two
exams. They can decide between February, June
and September.
One student cannot apply for an exam more than
twice a year. One student cannot apply for an
exam more than six times in his/her life.
15
Syllabus
CORE
1stC Y C L E
1st
2nd
SPECIAL I TY
2ndC Y C L E
3rd
4th
16
Courses (hours per week)
No more than 23 people in the computer room.
17
Statute of Limitations
  • The students accessing first cycle have to pass 6
    core or compulsory credits (a course of 2 hours
    per week during one year) to continue with these
    studies.
  • If not, they have to go to other studies.

18
Syllabus
CORE
1stC Y C L E
1st
2nd
SPECIAL I TY
2ndC Y C L E
3rd
4th
19
Courses (hours per week)
20
Syllabus
CORE
1stC Y C L E
1st
2nd
SPECIAL I TY
2ndC Y C L E
3rd
Statistics
Applied Mathematics and Computation
5082
4th
4918
21
Courses (hours per week)
These courses are compulsory for each
speciality.
Statistics
Appl. Math. Comp.
22
Courses (hours per week)
These courses are compulsory for each
speciality.
Statistics
Appl. Math. Comp.
23
Courses 4rd year
Statistics
Appl. Math. Comp.
These courses are compulsory for each
speciality.
24
Core and Elective Courses
These courses are compulsory for each
speciality.
Statistics
Appl. Math. Comp.
25
Core and Elective Courses
These courses are compulsory for each
speciality.
Statistics
Appl. Math. Comp.
26
Real Elective Courses
Statistics (5 hours)
Appl. Math. Comp. (6 hours)
27
Free choice courses
Statistics (107 hours per week)
Appl. Math. Comp. (107 hours per week)
28
Problems with the elective and free choice courses
  • Since an student can choose any subject from 11
    possible subjects as elective or free choice
    courses, the timetable of the 4th year is really
    crazy for students.

1st year timetable
29
4th year timetable
30
Statistics when finishing.
  • Average duration 632 years in general
  • 589 years if they are only studying.
  • Average age 2445 years old.
  • Sex 4091 men and 5909 women.
  • Average time until being employed 536 months.

COMPARISON
31
Once they are graduated
0 of non-employed people
32
Once they are graduated
NO INFORMATION 47
STUDENTS 81
TEACHERS 277
PUBLIC ADMINISTRATION WORKERS 20
GRANT HOLDERS 169
COMPANY WORKERS 406
33
Once they are graduated
COMPANIES (406) Telecommunications Business Comp
uters TEACHING (277) Secondary
School University RESEARCHING (169) Cryptograph
y and Codification Mathematics Models in Physics
and Engineering Signal and Image
Processes Teledetection Data Analysis
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