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University transcript

You can also download scans of official university transcripts as of March 2011. This is the final transcript.

I semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade Credit grade  Laboratory grade 
 ANSI C (with Elements of C++)  3  30   30   -   -   5.0 (A)  - 
 Calculus  10   60   45   -   3.0 (C)  5.0 (A)  - 
 Logic for Computer Science  7  30  30   -  4.0 (B)  5.0 (A)  -
 Introduction to Computer Science  7  30  30  -  4.5 (B+)  5.0 (A)  -

II semester

Courses   ECTS Points Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Algebra  7  45   30   -   3.0 (C)  5.0 (A)  - 
 Programming  9   60   30   30   4.5 (B+)  5.0 (A)  5.0 (A)
 Object-Oriented Programming  7  30  30   -  5.0 (A)  5.0 (A)  -
 Programming in Advanced C++  3  30  30  -  -  5.0 (A)  -
 English (B1I)  24  -  60  -  4.5 (B+)  -  -

III semester

Courses   ECTS Points Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Numerical Analysis  9  60   30   30  5.0 (A)  5.0 (A)  5.0 (A)
 Programming in Python  3   30   30   -   -  5.0 (A)  - 
 Discrete Mathematics  9  60  30   -  3.0 (C)  5.0 (A)  -
 Probability and Statistics  7  30  30  -  5.0 (A)  5.0 (A)  -
 Operating Systems  7  30  30  -  4.0 (B)  5.0 (A)  -

IV semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Algorithms and Data Structures  9  60   30   30  3.5 (C+)  4.5 (B+)  5.0 (A)
 Formal Languages and Computational Complexity  -   -  30   -   -  4.5 (B+)  - 
 Computer Networks  7  30  30   -  4.5 (B+)  5.0 (A)  -
 Theoretical Foundations of Programming Languages  9  30  30  -  4.0 (B)  5.0 (A  -

V semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Evolutionary Algorithms  9  30  30   -  5.0 (A)  5.0 (A)  -
 Effective Software Development  9  30  30   -   5.0 (A)  5.0 (A)  - 
 Programming Languages and Continuations  2  8  8  -  5.0 (A)  5.0 (A)  -
 Introduction to Computer Graphics  7  30  30  -  3.0 (A)  5.0 (A)  -
 Functional Programming  7  30  30  -  4.5 (B+)  5.0 (A)  -
 Seminar: Algorithms in Computational Biology  4  -  30  -  -  5.0 (A)  -
 Physical Education  3  -  30  -  -  5.0 (A)  -

VI semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Functional Algorithms and Data Structures  9  30   30   -  5.0 (A)  5.0 (A)   - 
 Compiler Design  9  30  30   -   3.5 (C+)  5.0 (A)  - 
 Economic Policy  4  30  -   -  5.0 (A)  -  -
 German (A1II)  6  -  60   -  5.0 (A)  -  -

VII semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Data Bases  7  30   30   -  3.0 (C)  4.0 (B)  - 
 Formal Languages and Computational Complexity  9  30  30   -   3.0 (C)  4.0 (B)  - 
 Programming Project  4  -  30   -  -  5.0 (A)  -
 Parallel and Distributed Computations  9  30  30   -  3.0 (C)  5.0 (A)  -
 The Art of Negotiation  4  30  -  -   4.5 (B+)  -  -

VIII semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 New Trends in IT with Google  2  30  -  -  -  4.5 (B+)  -
 Seminar: Intelligent Systems in Management: Theory and Practice  4  30  -  -  -  5.0 (A)  -
 Seminar: Software Testing  4  30  -  -   -  5.0 (A)  -
 Human - Computer Interaction  7  30  30   -  5.0 (A)  5.0 (A)  -

IX semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Distributed Algorithms  9  30  30  -  5.0 (A)  5.0 (A)  -
 Data Warehouses and Data
Mining
 9  30  30  -  5.0 (A)  5.0 (A)  -
  Advanced C++ Techniques  9  30  30   -  4.0 (B)  4.5 (B+)  -


X semester

 Courses    ECTS Points  Lecture hours Practical hours  Laboratory hours  Exam grade  Credit grade  Laboratory grade 
 Distributed Systems  9  30  30  -  5.0 (A)  5.0 (A)  -
 Type Systems  9  30  30  -  4.0 (B)  3.0 (C)  -
 Team Project  4  -  30   -  -  5.0 (A)  -


Master thesis:

Distributed constraint optimization in traffic light systems in an exemplary European city (grade: 5.0).

Master's exam result: 5.0.

Summary

Global ECTS points: 305
GPA (non-US, CS courses only): --
GPA (non-US, all courses): --
GPA* (US, CS courses only): --
GPA* (US, all courses): --

* Calculated according to grade translation guide from WES.

Passing grades used at examinations, tests, and other assessments of student performance are as follows:
5.0 - very good
4.5 - good plus
4.0 - good
3.5 - satisfactory plus
3.0 - satisfactory


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Karol Stosiek,
Mar 22, 2011 1:18 PM