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Full-time Applied Mathematics  Български  
Faculty of Mathematics and Informatics - Applied Mathematics
  Approved by
RECTOR:
(Prof. Ph.D. Zapryan KOZLUDZOV)  
Academic Council Minutes No 24/ 20.05.2013

CURRICULUM
Area of higher education: NATURAL SCIENCES, MATHEMATICS AND INFORMATICS (4)
Professional stream: MATHEMATICS (4.5)
Speciality: APPLIED MATHEMATICS
Educational and qualification degree: BACHELOR
Professional qualification: MATHEMATICIAN
Mode of study: FULL-TIME
Official length of programme: 4 YEAR
Dean of FMI: (Prof. Asen Rahnev, Ph.D)
Faculty Council Minutes No 20 / 15.05.2013

CURRICULUM FEATURES:
  • This curriculum was developed under the Ordinance on the state requirements for the acquisition of higher education and educational qualification degrees (Bachelor, Master and Specialist) of 2002, and as of the 2004/2005 academic year, it also complies with Ordinance No 21 of 30.09.2004 on the adoption of a credit transfer and accumulation system in the higher education institutions. It was elaborated by a committee involving the heads (or authorized representatives) of departments, it was subject to discussion within each department, accepted by the Faculty Council and approved by the Academic Council.
  • The curriculum reflects the results of the educational project of the European Commission TUNING Educational Structures in Europe for development by representatives of over 140 university educational standards in higher education of a united Europe, according to the Bologna process. A member of the working group on mathematical sciences was FMI of Plovdiv. Development standards were reflected in the regulations of the EU Member States.
  • The curriculum has a clear link to the mission, goals and objectives of the Strategy for the development of Plovdiv University (2011-2020). In particular, the curriculum is in line with the mission to conduct quality university training in the specialty, helps maintain the objective FMI and Plovdiv University are leading educational center in the specialty, to reform education based on modern information and communication technologies and to enhance the quality of education, inclusive orientation and maintain high competitiveness of FMI and PU specialty.
  • The curriculum was updated in October 2013 under the project of the European Social Fund: BG051PO001-3.1.07-0009; №D01-3609 / 19.02.2013, "Improving the quality of training in informatics and ICT at FMI in PU through the creation and implementation of a sustainable model for updating the curricula, according to the EU's strategy for growth" Europe 2020 "and the requirements of the labor market." This curriculum was developed jointly with the Bulgarian Association of Software Companies - BASCOM and Cluster ICT Plovdiv - Plovdiv ICT Cluster.
  • This update is in line with the international standard ISO / IEC TR 19759: 2005 (SWEBOK) and "strategic requirements of the software industry for the reform of the education system" of professional organizations in the field of ICT: BASCOM, Bulgarian Association of Information Technologies - BAIT, Bulgarian Web Association, ICT Cluster, the European Software Institute - Center Eastern Europe, Telecommunications Association. The update gives practical training to meet the requirements of the labor market and to increase the competitiveness of students.
  • One academic year consists of three trimesters (Autumn, Winter and Spring). 
  • Each trimester, contact hours are spread over 10 weeks for full-timers and 3 weeks for part-timers.
  • The curriculum contains mandatory courses which are fundamental for the speciality.  Elective courses add to the specialisation of students’ training in a related field of study chosen by students. Optional courses provide students with knowledge in various fields, such as mathematics, business, law, psychology, modern languages, etc.
  • If a student has taken exams in more elective courses than required, they are duly entered in the Diploma. Optional or elective courses can also be ones which are not on the curriculum, but in which the student has taken exams at FMI of Plovdiv University (or at another faculty or university in case of transfer), as well as during specialisation in the country or abroad within academic exchange programs.
  • Each program ends with either a written State Exam or thesis defense. 
  • Assessment takes place either during exam sessions following each trimester or during continuous assessment throughout a trimester. The main form of examination is a written examination (incl. Electronic version), ending with a discussion with the student when forming the final assessment and communicate the reasons for it.
  • One ECTS credit equals 25 hours of student workload astronomical or 33⅓ hours student workload. Student workload includes lecture and extracurricular work.
  • Comparison of traditional and ECTS estimates given in the following table:
Grading scale
Bulgarian grades ECTS grades
grade description grade description
6 EXCELLENT A EXCELLENT
5 VERY GOOD B VERY GOOD
4 GOOD C GOOD
3 SATISFACTORY D SATISFACTORY
E SUFFICIENT
2 FAIL FX FAIL
F FAIL

Courses CH L Lw Se Sw L Lw SS T C TA AY Tr Tn
FIRST ACADEMIC YEAR 640 250 25 300 30 90 9 1250 1890 63        
Autumn trimester 190 70 7 90 9 30 3 410 600 20        
Linear Algebra 80 40 4 40 4 0 0 160 240 8 E 1 A 1
Programming 60 30 3 0 0 30 3 150 210 7 E 1 A 1
English 50 0 0 50 5 0 0 100 150 5 - 1 A 1
Winter trimester 230 80 8 150 15 0 0 430 660 22        
Mathematical Analysis 1 80 40 4 40 4 0 0 160 240 8 E 1 W 2
Analytical Geometry 80 40 4 40 4 0 0 160 240 8 E 1 W 2
English  50 0 0 50 5 0 0 100 150 5 CA 1 W 2
Sport 20 0 0 20 2 0 0 10 30 1 - 1 W 2
Spring trimester 220 100 10 60 6 60 6 410 630 21        
Mathematical Analysis 2 80 40 4 40 4 0 0 160 240 8 E 1 S 3
Object-Oriented Programming 60 30 3 0 0 30 3 120 180 6 E 1 S 3
Operating Systems 60 30 3 0 0 30 3 120 180 6 E 1 S 3
Sport 20 0 0 20 2 0 0 10 30 1 - 1 S 3
SECOND ACADEMIC YEAR 640 330 33 290 29 60 6 1220 1860 62        
Autumn trimester 220 100 10 90 9 30 3 410 630 21        
Mathematical Analysis 3 80 40 4 40 4 0 0 160 240 8 E 2 A 4
Discrete Mathematics 60 30 3 30 3 0 0 120 180 6 E 2 A 4
Information Technologies 60 30 3 0 0 30 3 120 180 6 E 2 A 4
Sport 20 0 0 20 2 0 0 10 30 1 - 2 A 4
Winter trimester 220 110 11 80 8 30 3 410 630 21        
Mathematical Analysis 4 70 40 4 30 3 0 0 140 210 7 E 2 W 5
Algebra 70 40 4 30 3 0 0 140 210 7 E 2 W 5
Algorithms and Data Structures 60 30 3 0 0 30 3 120 180 6 CA 2 W 5
Sport 20 0 0 20 2 0 0 10 30 1 TO 2 W 5
Spring trimester 200 120 12 120 12 0 0 400 600 20        
Ordinary Differential Equations 80 40 4 40 4 0 0 160 240 8 E 2 S 6
Probability Theory and Mathematical Statistics 80 40 4 40 4 0 0 160 240 8 E 2 S 6
Elective course 40 40 4 0 0 0 0 80 120 4 CA 2 S 6
or practical classes   0 0 40 4 0 0              
THIRD ACADEMIC YEAR 570 350 35 270 27 70 7 1230 1800 60        
Autumn trimester 200 120 12 100 10 20 2 400 600 20        
Mathematical Statistics 80 40 4 20 2 20 2 160 240 8 E 3 A 7
Complex Analysis 80 40 4 40 4 0 0 160 240 8 E 3 A 7
Elective course 40 40 4 0 0 0 0 80 120 4 CA 3 A 7
or practical classes   0 0 40 4 0 0              
Winter trimester 180 110 11 80 8 30 3 420 600 20        
Equations of Mathematical Physics 80 40 4 40 4 0 0 160 240 8 E 3 W 8
Databases 60 30 3 0 0 30 3 180 240 8 E 3 W 8
Elective course 40 40 4 0 0 0 0 80 120 4 CA 3 W 8
or practical classes   0 0 40 4 0 0              
Spring trimester 190 120 12 90 9 20 2 410 600 20        
Computer Methods of Numerical Analysis 80 40 4 20 2 20 2 160 240 8 E 3 S 9
Differential Geometry 70 40 4 30 3 0 0 170 240 8 E 3 S 9
Elective course 40 40 4 0 0 0 0 80 120 4 CA 3 S 9
or practical classes   0 0 40 4 0 0              
FOURTH ACADEMIC YEAR 440 280 28 220 22 60 6 1360 1800 60        
Autumn trimester 200 120 12 100 10 20 2 400 600 20        
Mathematical Optimization 80 40 4 40 4 0 0 160 240 8 E 4 A 10
Numerical Solution of Differential Equations 80 40 4 20 2 20 2 160 240 8 E 4 A 10
Elective course 40 40 4 0 0 0 0 80 120 4 CA 4 A 10
or practical classes   0 0 40 4 0 0              
Winter trimester 180 100 10 80 8 40 4 420 600 20        
Game Theory 70 30 3 40 4 0 0 170 240 8 E 4 W 11
Statistical Software 70 30 3 0 0 40 4 170 240 8 E 4 W 11
Elective course 40 40 4 0 0 0 0 80 120 4 CA 4 W 11
or practical classes   0 0 40 4 0 0              
Spring trimester 60 60 6 40 4 0 0 540 600 20        
Elective course 40 40 4 0 0 0 0 80 120 4 CA 4 S 12
or practical classes   0 0 40 4 0 0              
Overview Lectures on Applied Mathematics 20 20 2 0 0 0 0 460 480 16 E 4 S 12
Examination or development and defense of a thesis paper 0 0 0 0 0 0 0              
TOTAL 2290 1210 121 1080 108 280 28 5060 7350 245        
 
KEY:
CH – contact hours; L – lectures; Lw – lectures per week; Se – seminars; Sw – seminars per week; L - labs; Lw - labs per week; SS – self-study; T – subtotal;  C – ECTS credits; TA – type of assessment; AY – academic year; Tr – trimester; Tn – trimester number;  E – exam; CA – continuous assessment; A – Autumn, W – Winter, S – Spring
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