Sari la conţinut.

Language:

Universitatea
„Aurel Vlaicu” din Arad

ANEXA 1

 

CURRICULUM

Valid for study cycle: 2017-2019

"Aurel Vlaicu" University of Arad

 

 

Faculty of Exact Sciences

Department                                                                 Mathematics and Computer Science

Name of program                                                        Advanced Studies in Applied Computer Science

                                                                                    (English)

Field of studies                                                           Informatics

Type of program                                                         Professional

Length of program / number of ECTS credits            2 years /120 credits

Type of education                                                       With attendance

Graduate title earned                                                  Master in informatics

 

 

  1. MISSION STATEMENT

 

The mission of the Master of Science (MSc) program in “Advanced Studies in Applied Computer Science” is to provide academic, research and public service leadership in a field perfectly aligned with the Faculty of Exact Sciences. The aims of this program are to:

·         foster research-oriented critical thinking in Informatics and related applications;

·         enhancing the educational offer by developing and nurturing a professional environment conducive to scholarship in the pursuit of knowledge; and

·         open the European and international dimensions by building communication skills to excel in the profession.

 

 

  1. OBJECTIVES

 

-       Constantly improving skills and expanding knowledge to analyze socio-economical facts and phenomena for discovering solutions andproposing alternatives;

-       Applying the acquired knowledge in scientific/professional projects with the aim of finding solutions to the challenges raised by the Romanian as well as European economy

-       Developing the skills to find and use methods, procedures and scientific instruments, as well as fostering theability to propose and convey scientific explanations for socio-economical processes and phenomena

-       Nurturing English professional communication proficiency, effectiveintegration within multinational/internationalresearch teams

 

 

  1. SPECIFIC EDUCATIONAL OBJECTIVES (COMPETENCES TO BE ACQUIRED)

 

Professional educational objectives

 

C1. Analyze real systems and develop mathematical models for processes and systems that can be applied in engineering and economics.

C2. Solve problems in various fields of sciences using mathematical models and computer systems, and use computer related tools for developing software.

C3. Read specifications and perform data analysis, design, development as well as deployment of databases using software systems.

C4. Perform data analysis and generate and interpret results for supporting decision making processes.

C5. Model various processes, design and deploy computational and symbolic models.

C6. Elaborate comparative studies of computer systems with respect to their functionalities, efficiency, effectiveness and information security.

C7.Offer consultancy on the use of computers and computer applications in sciences, technology and economics.

 

Transversal educational objectives

 

CT1.General knowledge of computer systems and their integration in various organizations, and continuously learning new concepts and new technologies in the field of computer science.

CT2. Communicate in English on professional subjects with computer specialists, engineers and economists; elaborate technical reports and scientific memos.

CT3. Teaching and lecturing at high school and university levels in the fields of computer science and informatics and on related subjects.

CT4.Perform efficiently within a multidisciplinary team while observing, respecting, and abiding by the professional ethics rules of the specific field.

 

 

  1. ACADEMIC CAREER DEVELOPMENT

 

The graduates of the Master of Science (MSc) program in “Advanced Studies in Applied Computer Science”, according to the Romanian Occupational Catalogue (COR – ISCO-08), can be hired in the following positions:

 

133 – LEADERS IN IT&C SERVICES

1330 – code 133003, Head of computer office

1330 – code 133004, Head of computer laboratory

1330 – code133005, Head of IT division

1330 – code 133006, Head of IT department

 

212 – MATHEMATICIANS, ACTUARIES ȘI STATISTICIANS

2120 – code 212005, Actuary adviser

2120 – code 212011, Statistician adviser

2120 – code212023,Researcher in mathematics-informatics

 

214 – ENGINEERS AND SIMILARS, NOT CLASSIFIED IN THE PREVIOUS GROUPS

2149 – code 214917, Researcher in informatics

 

251 – SOFTWARE ANALISTS AND PROGRAMMERS

2512 – code251201, Analyst

2512 – code251202, Programmer

2512 – code251203, System engineers

2512 – code251204, Programmer of informatics systems

2512 – code251205, Software engineer (system level)

2512 – code251206, Manager of informatics project

 

252 – SPECIALISTS IN DATABASES AND COMPUTER NETWORKS

2521 – code252101, Database administrator

2522 – code252201, Bank security system administrator

2523 – code252301, Network administrator

 

 

  1. FINAL STIPULATIONS

 

The Curriculum will be approved, according to the National Education Law, art.137 (2), by the university Senate and after being signed on each page the President of the Senate. The Curriculum is valid until the next revision.

 

 

  1. ANALYZIS OF THE CURRICULUM

 

For the curriculum of the Master of Science (MSc) program in “Advanced Studies in Applied Computer Science”, the classification of the courses is presented in the following tables:

 

·         The total number of courses divided in categories according the subject type (proficiency, synthesis, advanced):

 

Nr. crt.

Subject Type

Hours per week

Hours

Ratio %

Study program

ARACIS

regulations

1

proficiency course

(DA)

23

38,33%

min. ---,0

2

synthesis course

(DT)

20

33,34%

min. ---,0

3

advanced course

(DU)

17

28,33%

min. ---,0

TOTAL

60

100,00%

---

 

 

·         The total number of hours of this program is 840 (392 hours oflectures and 448 hours of practical activities) divided as follows:

 

- Compulsory requirements........................................................................ 756hours

- Internship..................................................................................................... 0hours

- Internship to prepare the Master Thesis..................................................... 84hours

Total........................................................................................................... 840hours

ARACIS regulations     (____  ÷  _____ hours)

 

 

  • Curriculum structure, according course types (compulsory and elective):

 

Course

Hours per curriculum

Hours

Ratio %

Compulsory courses

630

75%

Elective courses

210

25%

 (ARACIS regulations - min --%)

TOTAL

840

100%

 

·         The Internship to prepare the Master Thesis consists of 84 hours.

 

·         The ratio between lectures and practice (seminars, laboratories, projects, internship) is 1:1,14 (392 course hours / 448 practice hours), complying with the ARACIS regulations.

 

·         The Master of Science (MSc) program in “Advanced Studies in Applied Computer Science” complies with the national qualifications provided by the Government Decree HG 1175/2006.

 

·         The courses included in the Curriculum and the subjects studied are perfectly aligned with the Bachelor program (BSc) in Applied Informatics (English language) (HG 1175/2006, HG 676/2007)

 

·        The curriculum of the Master of Science (MSc) program in “Advanced Studies in Applied Computer Science” complies with the European Credit Transfer and Accumulation System (ECTS) and with the Romanian Law 400/2006 on the organizing of university master studies.

 

 

  1. time skedulling of the academic year (weeks)

 

Year

Didactic activities (weeks)

Exams (weeks)

Internship

Holiday (weeks)

Sem. I

Sem. II

Winter session

Summer session

Retake session

Winter

Between semesters

Summer

Year I

14

14

3

3

2

-

4

1

10

Year II

14

14

3

2

1

 84 hrs*

4

1

-

*Distributed along the 14 weeks of Sem.II

 

  1. Hours per week of compulsory and elective courses

 

Year

Semester I (hours / week)

Semester II (hours / week)

 

Compulsory courses

Elective courses

Compulsory courses

Elective courses

I

14

0

14

0

II

9

7

8

8

 

 

 

 

 

  1. REquirements FOR PASSING, PROMOTION AND COMEBACK

 

The requirements for passing (admission to the next academic year), promotion or comeback to studies are stated in the ECTS Regulations, in the Procedure of organizing the didactic activity and students grading and in the Regulation of students’ professional activity based on credits transfer.

 

  1.  THE MASTER THESIS

 

The requirements for preparing, submitting and defending the Master Thesis are stated in the Methodology regarding the organizing and conducting the final exams.

·         Communicating the subjects for the Master Thesis: 1-30 October

·         Preparing the Master Thesis: 1st of November – 31st of May

·         Submitting and defending the Master Thesis: 4th of July – 31st of July

·         The final exam consists of defending the Master Thesis (10 credits)

 

 

  1. THE ECTS CREDITS ASSOCIATED WITH THE MASTER PROGRAM

 

                                Total 120credits

  • 77,5% credits from compulsory courses
  • 22,5% credits from elective courses

 

 

 

Rector

Dean

head of Departament

Prof. dr. Ramona Lile

Prof. dr. Mariana Nagy

Prof. dr. GhiocelMoț


„AurelVlaicu“ University of Arad

Faculty of Exact Sciences

Department: Mathematics and Computer Science

Field: Informatics

Study program: Advanced Studies in Applied Computer Science (English)

 

 

CURRICULUM

Academic year 2017-2018

Year I

 

Code

Subject

Course status

S.I./ Sem

(hrs)

Hours per week and Evaluation type

1st Semester

14 weeks

2nd Semester

14 weeks

C

S

L

Pr

Ev

K

C

S

L

Pr

Ev

K

COMPULSORY COURSES

GmFA1O01

Advanced  Data Analysis

DA

150

2

-

1

-

Ex

7

-

-

-

-

-

-

GmFA1O02

Mathematical Optimization

DA

122

2

1

-

-

Ex

6

-

-

-

-

-

-

GmFU1O03

Computational Mathematics

DU

122

2

-

1

-

Ex

6

-

-

-

-

-

-

GmFU1O04

Fuzzy Control Systems

DU

150

2

-

1

-

Ex

7

-

-

-

-

-

-

GmFT1O05

Project on Artificial Intelligence

DT

108

-

-

-

2

Cn

4

-

-

-

-

-

-

GmFT2O01

Integrated Information Systems

DT

150

-

-

-

-

-

-

2

-

1

-

Ex

7

GmFA2O02

Database Programming Languages

DA

150

-

-

-

-

-

-

2

-

1

-

Ex

7

GmFA2O03

Dynamic Systems and Optimal Control

DA

122

-

-

-

-

-

-

2

1

-

-

Ex

6

GmFA2O04

Programming in CAD Applications

DA

122

-

-

-

-

-

-

2

-

1

-

Ex

6

GmFT2O05

Project on Databases

DT

108

-

-

-

-

-

-

-

-

-

2

Cn

4

TOTAL

 

 

8

1

3

2

-

30

8

1

3

2

-

30

 

 

Rector

DEAN

HEAD OF DEPARTAMENT

Prof. dr. Ramona Lile

Prof. dr. Mariana Nagy

Prof. dr. GhiocelMoț

 

 

 

 

 

Legend:             C – Lecture;  S – Seminar; L – Laboratory; P – Project; SI – Individual Study; Ev – Evaluation;  K – Credits;

DA– proficiency course; DT – synthesis course; DU – advanced course


„AurelVlaicu“ University of Arad

Faculty of Exact Sciences

Department: Mathematics and Computer Science

Field: Informatics

Study program: Advanced Studies in Applied Computer Science (English)

 

 

CURRICULUM

Academic year 2018-2019

Year II

 

Code

Subject

Course status

S.I./ Sem

(hrs)

Hours per week and Evaluation type

1st Semester

14 weeks

2nd Semester

14 weeks

C

S

L

Pr

Ev

K

C

S

L

Pr

Ev

K

COMPULSORY COURSES

GmFT3O01

Research Methods

DT

150

2

1

-

-

Ex

7

-

-

-

-

-

-

GmFA3O04

Modern Solutions for E-business

DA

108

2

-

2

-

Ex

6

-

-

-

-

-

-

GmFT3O05

Project on E-business

DT

108

-

-

-

2

Cn

4

-

-

-

-

-

-

GmFT4O03

Project on Decision Support Systems

DT

108

-

-

-

-

-

-

-

-

-

2

Cn

4

GmFT4O04

Internship to prepare the Master Thesis

DT

336

-

-

-

-

-

-

-

-

-

6

Cn

12

 

TOTAL

 

 

4

1

2

2

-

17

-

-

-

8

-

16

ELECTIVE COURSES

 

Package 1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

GmFU3A11

Applications of Lie Algebra

DU

122

2

-

1

-

Ex

6

-

-

-

-

-

-

GmFU3A12

Neural Networks

DU

122

2

-

1

-

Ex

6

-

-

-

-

-

-

 

Package 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

GmFU3A21

Programming on Mobile Platforms

DU

136

2

-

2

-

Ex

7

-

-

-

-

-

-

GmFU3A22

Stochastic Systems

DU

136

2

-

2

-

Ex

7

-

-

-

-

-

-

 

Package 3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

GmFA4A31

Applied Statistics for Natural and Technical Sciences

DA

136

-

-

-

-

-

-

2

-

2

-

Ex

7

GmFA4A32

Decision Support Systems

DA

136

-

-

-

-

-

-

2

-

2

-

Ex

7

 

Package 4

 

 

 

 

 

 

 

 

 

 

 

 

 

 

GmFU4A41

Information Systems Security

DU

136

-

-

-

-

-

-

2

-

2

-

Ex

7

GmFU4A42

Applied Neural Computations

DU

136

-

-

-

-

-

-

2

-

2

-

Ex

7

 

TOTAL

 

 

4

-

3

-

-

13

4

-

4

-

-

14

TOTAL

 

 

8

1

5

2

-

30

4

-

4

8

-

30

 

 

Rector

DEAN

HEAD OF DEPARTAMENT

Prof. dr. Ramona Lile

Prof. dr. Mariana Nagy

Prof. dr. GhiocelMoț

 

 

 

Legend:             C – Lecture;  S – Seminar;  L – Laboratory;  P – Project; SI – Individual Study; Ev – Evaluation;  K – Credits;

DA– proficiency course; DT – synthesis course; DU – advanced course

 

Înapoi sus.

Site realizat de ROBO Design.

Coordonator Prof. Dr. Ioan Dziţac.

Dani Radulescu @ ActivNET