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SylabUZ

  1. SylabUZ
  2. Faculty of Exact and Natural Sciences
  3. winter term 2018/2019
  4. Mathematics - First-cycle studies leading to Bachelor's degree

Mathematics
First-cycle studies leading to Bachelor's degree
Beginning semester: winter term (2018/2019)


Semester 1
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
general compulsory courses
Information Technology Laboratory (30/-) 2 No No
Physical Education 1 Class (30/-) 0 No No
basic compulsory courses
Computer Programming 1 Lecture (30/-), Laboratory (30/-) 6 Yes No
Linear Algebra 1 Lecture (45/-), Class (45/-) 6 Yes No
Logic and Set Theory Lecture (30/-), Class (30/-) 6 Yes No
Mathematical Analysis 1 Lecture (60/-), Class (60/-) 10 Yes No
Semester 2
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
compulsory core courses
Discrete Mathematics 1 Lecture (30/-), Class (30/-) 6 Yes No
general compulsory courses
English 1 Laboratory (30/-) 2 No No
Physical Education 2 Class (30/-) 0 No No
basic compulsory courses
Computer Programming 2 Lecture (30/-), Laboratory (30/-) 6 Yes No
Linear Algebra 2 Lecture (30/-), Class (30/-) 6 Yes No
Mathematical Analysis 2 Lecture (60/-), Class (60/-) 10 Yes No
Semester 3
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
general compulsory courses
English 2 Laboratory (30/-) 2 No No
basic compulsory courses
General Algebra Lecture (30/-), Class (30/-) 4 Yes No
Geometry Lecture (30/-), Class (30/-) 5 Yes No
Mathematical Analysis 3 Lecture (30/-), Class (30/-) 5 Yes No
Probability Theory Lecture (30/-), Class (30/-) 5 Yes No
courses in humanities
Introductory Course to Thesis Writing and Editing Class (30/-) 3 No Yes
Polish Language in Practice Class (30/-) 3 No Yes
courses in social sciences
Pedagogy Lecture (30/-), Class (15/-) 2 No Yes
Psychology Lecture (30/-), Class (15/-) 2 No Yes
optional courses
Basics of Machine Learning Lecture (30/-), Laboratory (30/-) 5 No Yes
Computer Networks Lecture (30/-), Laboratory (30/-) 5 No Yes
Fundamentals of Teaching Techniques Class (30/-) 2 No Yes
Introduction to Mathematical Finance Lecture (30/-), Laboratory (30/-) 6 No Yes
LaTeX Laboratory (30/-) 2 No Yes
Microeconomics Lecture (30/-), Class (15/-) 6 Yes Yes
Object-oriented Programming 1 Lecture (30/-), Laboratory (30/-) 6 No Yes
Pedagogy 1 Class (30/-) 2 No Yes
Physics Lecture (30/-), Class (30/-) 5 No Yes
Psychology 1 Class (30/-) 2 No Yes
Semester 4
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
compulsory core courses
Differential Equations Lecture (30/-), Class (30/-) 6 Yes No
general compulsory courses
English 3 Laboratory (30/-) 2 No No
basic compulsory courses
Mathematical Statistics Lecture (30/-), Laboratory (15/-), Class (30/-) 7 Yes No
optional courses
Mid-Term Internship 1 Practical training (30/-) 2 No Yes
Combinatorial Analysis of Discrete Structures Lecture (30/-), Class (30/-) 5 No Yes
Database Systems 1 Lecture (30/-), Laboratory (30/-), Class (15/-) 6 Yes Yes
Descriptive and Ecomonic Statistics Laboratory (30/-) 2 No Yes
Discrete Mathematics 2 Lecture (30/-), Class (30/-) 6 Yes Yes
Elements of the History and Philosophy of Mathematics Lecture (30/-) 2 No Yes
Game Theory Lecture (30/-), Class (30/-) 6 Yes Yes
Introduction to Mathematical Modelling Lecture (30/-), Project (30/-) 5 Yes Yes
Macroeconomics Lecture (30/-), Class (15/-) 6 Yes Yes
Mathematical Economics Lecture (30/-), Class (30/-) 6 Yes Yes
Methodology of Solving Mathematical Tasks 1 Class (45/-) 3 No Yes
Object-oriented Analysis and Programming in UML Lecture (30/-), Project (30/-) 5 Yes Yes
Object-oriented Programming 2 Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Operations Research 1 Lecture (30/-), Class (30/-) 3 No Yes
Probabilistic Methods in Computer Science Lecture (30/-), Class (30/-) 5 No Yes
Teaching Practice 1 Practical training (75/-) 4 No Yes
Teaching Techniques for Mathematics 1 Class (30/-) 2 No Yes
Voice Emission Class (30/-) 2 No Yes
Semester 5
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
compulsory core courses
Diploma Seminar 1 Seminar (30/-) 3 No No
general compulsory courses
English 4 Laboratory (30/-) 2 Yes No
courses in humanities
Introductory Course to Thesis Writing and Editing Class (30/-) 3 No Yes
Polish Language in Practice Class (30/-) 3 No Yes
courses in social sciences
Pedagogy Lecture (30/-), Class (15/-) 2 No Yes
Psychology Lecture (30/-), Class (15/-) 2 No Yes
optional courses
Mid-Term Internship 2 Practical training (45/-) 3 No Yes
Actuarial Methods Lecture (30/-), Class (45/-) 7 Yes Yes
Algorithms and Data Structures Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Basics of Machine Learning Lecture (30/-), Laboratory (30/-) 5 No Yes
Boolean Methods in Computer Science Lecture (30/-), Class (30/-) 5 Yes Yes
Computer Networks Lecture (30/-), Laboratory (30/-) 5 No Yes
Database Systems - Project 1 Project (30/-) 4 No Yes
Database Systems 2 Lecture (30/-), Laboratory (30/-), Class (15/-) 6 Yes Yes
Introduction to Financial Engineering Lecture (30/-), Class (30/-) 7 Yes Yes
Introduction to Mathematical Finance Lecture (30/-), Laboratory (30/-) 6 No Yes
Introduction to Numerical Methods Lecture (30/-), Laboratory (15/-), Class (15/-) 7 Yes Yes
Introduction to Optimization Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Large Scale Software Design Lecture (30/-), Laboratory (30/-) 4 Yes Yes
LaTeX Laboratory (30/-) 2 No Yes
Methodology of Solving Mathematical Tasks 2 Class (45/-) 3 No Yes
Microeconomics Lecture (30/-), Class (15/-) 6 Yes Yes
Number Theory Lecture (30/-), Class (30/-) 4 No Yes
Object-oriented Programming 1 Lecture (30/-), Laboratory (30/-) 6 No Yes
Operations Research 2 Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Physics Lecture (30/-), Class (30/-) 5 No Yes
Professional Internship Practical training (75/-) 3 No Yes
Teaching Techniques for Mathematics 2 Lecture (30/-), Class (30/-) 4 No Yes
Semester 6
Form of classes - Hours (full-time/part-time) ECTS Exam Selectable
compulsory core courses
Diploma Seminar 2 Seminar (60/-) 7 No No
Mathematical Software Laboratory (30/-) 2 No No
basic compulsory courses
Topology Lecture (30/-), Class (30/-) 6 Yes No
optional courses
Combinatorial Analysis of Discrete Structures Lecture (30/-), Class (30/-) 5 No Yes
Database Systems - Project 2 Project (30/-) 4 No Yes
Database Systems 1 Lecture (30/-), Laboratory (30/-), Class (15/-) 6 Yes Yes
Descriptive and Ecomonic Statistics Laboratory (30/-) 2 No Yes
Discrete Mathematics 2 Lecture (30/-), Class (30/-) 6 Yes Yes
Econometrics Lecture (30/-), Laboratory (30/-), Class (30/-) 8 Yes Yes
Elementary Geometry Lecture (30/-), Class (30/-) 5 Yes Yes
Elements of Modern Geometry Lecture (30/-), Class (30/-) 5 No Yes
Elements of the History and Philosophy of Mathematics Lecture (30/-) 2 No Yes
Experimental Design Lecture (30/-), Laboratory (30/-) 5 No Yes
Fundamentals of Management and Safety Database Systems Lecture (15/-), Laboratory (30/-) 4 No Yes
Introduction to Mathematical Modelling Lecture (30/-), Project (30/-) 5 Yes Yes
Macroeconomics Lecture (30/-), Class (15/-) 6 Yes Yes
Mathematical Economics Lecture (30/-), Class (30/-) 6 Yes Yes
Modeling in Finance Lecture (30/-), Laboratory (45/-) 7 Yes Yes
Object-oriented Analysis and Programming in UML Lecture (30/-), Project (30/-) 5 Yes Yes
Object-oriented Programming 2 Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Operations Research 1 Lecture (30/-), Class (30/-) 3 No Yes
Practical Methods of Statistics Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Probabilistic Methods in Computer Science Lecture (30/-), Class (30/-) 5 No Yes
Programing in Statistical Software Packages Project (30/-) 3 No Yes
Quality Control Lecture (30/-), Laboratory (30/-) 6 Yes Yes
Security of IT Systems Lecture (30/-), Laboratory (30/-) 5 Yes Yes
Selected Problems of Working with Gifted Students Class (45/-) 3 No Yes
Time Series Modeling Lecture (30/-), Laboratory (45/-) 5 No Yes
Web Applications and PHP Applications Lecture (30/-), Laboratory (30/-) 4 No Yes
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