Grades of
Mantas Puočiauskas
|
|
Grade Average (10
point/mark scale) Scale That Does Not Use
Credit Hours |
GPA on a Non-4.0 Scale (10 point/mark scale) Scale That Uses Credit
Hours |
GPA 4.0 Scale Scale That Uses Credit
Hours |
|
Master’s degree in Biology |
9.8 |
9.92 |
3.97 |
|
Master’s degree in
Computer Science |
9.31 |
9.57 |
3.83 |
|
Engineering degree in
Telecommunications Physics & Electronics |
9.5 |
9.39 |
3.76 |
|
Bachelor's degree in
Physics |
7.38 |
7.27 |
2.91 |
Master’s
degree in Biology (neurobiology), Cum
Laude, from
|
|
Course
unit title |
Hours
|
Credits |
Evaluation |
|
1.
|
Biopsychology |
32 |
2 |
10 |
|
2.
|
Electrical measurements in biosystems |
96 |
4 |
10 |
|
3.
|
Electrical processes in organisms |
32 |
2 |
10 |
|
4.
|
Neurobiology of sensation and perception |
64 |
3 |
10 |
|
5.
|
Term paper |
128 |
4 |
10 |
|
6.
|
Research project |
192 |
12 |
10 |
|
7.
|
Anatomy of central nervous system |
32 |
2 |
9 |
|
8.
|
Neuropharmacology |
80 |
3.5 |
10 |
|
9.
|
Cellular electrophysiology |
112 |
6 |
10 |
|
10.
|
Neurotransport |
32 |
2 |
passed |
|
11.
|
Physiology of sensory systems |
64 |
3 |
9 |
|
12.
|
Genetics of behavior |
32 |
2 |
passed |
|
13.
|
Laboratory animal science |
80 |
4 |
10 |
|
14.
|
Neuroethology |
48 |
2.5 |
passed |
|
15.
|
Neuropsychology |
32 |
2 |
9 |
|
16.
|
Computerized information systems |
48 |
2 |
passed |
|
17.
|
Brain imaging methods |
64 |
3 |
10 |
|
18.
|
Biophilosophy |
32 |
2 |
passed |
|
19.
|
Master’s thesis |
640 |
20 |
10 |
Master’s thesis “Artificial
neural network modeling of visual system” (in English)
Master’s degree in Computer Science, from
|
|
Course
unit title |
Hours |
Credits |
Evaluation |
|
1.
|
Algorithms
and data structures |
32
|
2
|
9
|
|
2.
|
Foreign
language (English) |
96
|
4
|
passed
|
|
3.
|
Methods
of artificial intelligence |
32
|
2
|
10 |
|
4.
|
Discrete
mathematics |
64
|
4
|
8
|
|
5.
|
Data
bases and data mining |
32
|
2
|
9
|
|
6.
|
Computer
architecture |
32
|
2
|
9
|
|
7.
|
Research
project |
32
|
2
|
passed
|
|
8.
|
Operating
systems |
48
|
2
|
10
|
|
9.
|
Software
systems engineering |
32
|
2
|
8
|
|
10.
|
Programming
languages |
32
|
2
|
8
|
|
11.
|
Selected
questions of mathematics |
96
|
6
|
10
|
|
12.
|
Symbolic
programming |
32
|
2
|
10
|
|
13.
|
Human
computer interface |
32
|
2
|
10
|
|
14.
|
JAVA
computer networks programming |
64
|
3
|
passed
|
|
15.
|
Mathematical
logic |
48
|
2
|
passed
|
|
16.
|
Object
oriented programming |
48
|
2
|
passed
|
|
17.
|
Software
systems engineering |
48
|
3
|
passed
|
|
18.
|
System
theory |
32
|
2
|
passed
|
|
19.
|
Translation
methods |
48
|
2
|
passed
|
|
20.
|
Mathematical
theory of control and regulation |
48
|
2
|
passed
|
|
21.
|
Visual
programming |
48
|
2
|
passed
|
|
22.
|
Accounting
and management systems |
64
|
4
|
passed
|
|
23.
|
Information
system analysis and design |
16
|
1
|
passed
|
|
24.
|
Computers
and models |
32
|
3
|
10
|
|
25.
|
Technology
of microprocessors |
64
|
3
|
passed
|
|
26.
|
Master’s
thesis |
320 |
20
|
10
|
Master’s
thesis “Noise removal from signals using artificial neural networks” (in
Lithuanian) (original title “Random signal identification using artificial
neural networks”), awarded by
Engineering
degree in Telecommunications Physics & Electronics, from
Engineering
degree graduation thesis “Open air laser transceiver”, awarded by
Bachelor's degree in Physics (applied
physics), from
|
|
Course
unit title |
Hours |
Credits |
Evaluation |
|
1.
|
Mechanics |
128
|
6,5
|
5
|
|
2.
|
Mathematical
analysis |
96
|
5
|
7
|
|
3.
|
Linear
algebra |
64
|
4
|
8
|
|
4.
|
Computers'
application |
48
|
2
|
passed |
|
5.
|
Foreign
language (English) |
64
|
2
|
passed |
|
6.
|
Second
foreign language (German) |
64
|
2
|
passed |
|
7.
|
Molecular
physics |
128
|
6,5
|
8
|
|
8.
|
Mathematical
analysis |
64
|
3,5
|
8
|
|
9.
|
Probability
theory |
48
|
2,5
|
7
|
|
10.
|
Foreign
language (English) |
64
|
2,5
|
8
|
|
11.
|
Safety
engineering |
48
|
2
|
passed |
|
12.
|
Computers'
application |
48
|
3
|
passed |
|
13.
|
Basics
of chemistry |
32
|
2
|
passed |
|
14.
|
Electricity
|
128
|
6
|
8
|
|
15.
|
Mathematical
analysis |
64
|
3
|
6
|
|
16.
|
Differential
equations |
64
|
3
|
7
|
|
17.
|
General
psychology |
48
|
2,5
|
9
|
|
18.
|
Computer
Science |
80
|
3,5
|
passed |
|
19.
|
Foreign
language (English) |
64
|
2
|
passed |
|
20.
|
Optics
|
128
|
5,5
|
7
|
|
21.
|
Theoretical
mechanics |
48
|
2,5
|
7
|
|
22.
|
Mathematical
physics |
80
|
4
|
5
|
|
23.
|
Foreign
language (English) |
64
|
2
|
7
|
|
24.
|
Radio
electronics |
80
|
4
|
7
|
|
25.
|
Applied
economics |
48
|
2,5
|
passed |
|
26.
|
Atom
and nucleus physics |
128
|
5,5
|
8
|
|
27.
|
Quantum
mechanics |
48
|
2,5
|
5
|
|
28.
|
Electrodynamics
|
64
|
3,5
|
6
|
|
29.
|
General
chemistry |
96
|
4,5
|
5
|
|
30.
|
Modern
Lithuanian language |
48
|
2
|
passed |
|
31.
|
Statistical
physics |
48
|
2,5
|
5
|
|
32.
|
Computers
and modeling |
64
|
3
|
9
|
|
33.
|
Basics
of solid state physics |
96
|
4,5
|
9
|
|
34.
|
Quantum
mechanics |
48
|
2,5
|
6
|
|
35.
|
Applied
nuclear physics |
96
|
4
|
9
|
|
36.
|
History
of cultures and civilizations |
48
|
2,5
|
passed |
|
37.
|
Computer
networks |
48
|
2
|
passed |
|
38.
|
Computers
and modeling |
64
|
3
|
passed |
|
39.
|
Introduction
to philosophy |
64
|
3
|
passed |
|
40.
|
Application
of lasers |
48
|
2
|
10
|
|
41.
|
Term
paper |
|
4
|
10
|
|
42.
|
Automation
of experiment |
80
|
3,5
|
9
|
|
43.
|
Introduction
to semiconductor physics |
96
|
4,5
|
5
|
|
44.
|
Materials
science |
64
|
3
|
passed |
|
45.
|
|
32
|
2
|
passed |
|
46.
|
Atmospheric
physics |
32
|
2
|
passed |
|
47.
|
History
of physics |
32
|
1,5
|
passed |
|
48.
|
Science
of materials |
112
|
5
|
9
|
|
49.
|
Basics
of law |
32
|
1,5
|
passed |
|
50.
|
Energetics and environment |
48
|
3
|
9
|
|
51. |
Bachelor's
thesis |
|
|
8 |
Bachelor's
thesis “Charge carrier mobility and concentration research in polycrystalline CdSe films”
LITHUANIAN CENTRE FOR QUALITY ASSESSMENT IN
HIGHER EDUCATION
To
Whom It May Concern
2003-07-03
No.
14-431
We
hereby certify that Diploma B No. 971803 (Reg. No. 1568) awarded on the 1st of
July 1998 and Diploma V No. 970354 (Reg. No. 1642) awarded on the 1st of July
1999 and Diploma M No. 0140656 (Reg. No. 229) awarded on the 28th of June 2001
and Diploma MC No 0143211 (Reg. No. 2833) awarded on the 24th of June to Mr.
Mantas Puociauskas by Vilnius University, a state recognized higher education
institution, are valid and have not been cancelled or suspended.
A Bachelor's degree in
Applied Physics
was awarded after the successful completion of the full (4 years of full-time
studies) undergraduate university study programme of
Applied Physics, 1998.
Mr.
Mantas Puociauskas acquired the qualification of Physicist-Engineer after successful completion of the full (one
year of full-time studies) university specialised
professional study programme of Telecommunications
Physics and Electronics at
Specialised professional studies belong to the 2nd cycle of
university studies and are intended to obtain thorough professional and new
theoretical knowledge. Such studies aim to prepare specialists who could begin
professional activities and seek a professional career immediately. Students
are admitted to the programme after completion of the
1st cycle of university studies. The professional qualification obtained after
the completion of specialised professional studies
does not give the right to enter university 3rd cycle doctoral studies. In the
professional sector it gives the right to begin appropriate professional
activities.
One
year specialised professional study programme of Telecommunications Physics at
Mr.
Mantas Puociauskas obtained a Master's
degree in Computer Science after successful completion of the full (two
years of full-time studies) 2nd cycle university (Master) study programme of Computer Science, 2001.
This
qualification gives the right to enter 3rd cycle university studies (doctoral
studies) or to begin professional activities as the analyst, projector,
programmer and after gaining more practical experience - to work as project
managers in private or state enterprises.
Master's degree in Biology was acquired after
successful completion of the full (two years of full-time studies) 2nd cycle
university (Master) study programme of Neurobiology,
2003.
This
qualification gives the right to enter 3rd cycle university studies (doctoral
studies) or to begin professional activities in research establishments and
health care institutions or industrial enterprises of technologies.
The
workload of studies is measured in credits. One credit corresponds to 40
relative hours (or to one week) of the student's work (in classes,
laboratories, independent work etc.) or to approximately 1.5 ECTS credits.
Currently a minimum of 140 credits (3.5 year) and a maximum of 180 credits (4.5
year) are required for a Bachelor's degree. A minimum of 60 credits (1.5 year)
and a maximum of 80 credits (2 years) are required for a Master's degree. No
less than 40 credits (1 year) and no more than 80 credits (2 years) are
intended for a professional qualification acquired after successful completion
of specialised professional studies.
Since
1993, a grading system on the scale of 10 is in use:
|
Result |
Grade |
Description |
Approximate percent of knowledge
required |
|
PASS |
10 |
Excellent |
>92 |
|
9 |
Very
good |
82-91 |
|
|
8 |
Good |
74-81 |
|
|
7 |
Highly
satisfactory |
66-73 |
|
|
6 |
Satisfactory |
58-65 |
|
|
5 |
Sufficient |
50-57 |
|
|
FAIL |
4 |
Insufficient |
40-49 |
|
3 |
Highly
insufficient |
30-39 |
|
|
2 |
Poor |
20-29 |
|
|
1 |
Very
poor |
0-19 |
The
Lithuanian Centre for Quality Assessment in Higher Education functions as an
ENIC/NARIC (European Network of Information Centers/National Academic Recognition
Information Centre). For more information about our higher education system,
please visit http://www.skvc.lt/enic-naric
Director Eugenijus Stumbrys
Rima Žilinskaitė, tel. + 370-5-2104770
Suvalkų g. l, LT-2600 Vilnius, Lithuania Tel.:
+370-5-2104777, Fax: +370-5-2132553 E-mail: skvc@skvc.lt