Example of a recommended study plan for Cyber Systems

Basic natural science coursesTechnological specializationProjects and professional skills coursesElectives
1.SEMESTER
1.SEMESTER
01006
Advanced Engineering Mathematics 1
10 point
10018
Physics 1
5 point
26030
Fundamental Chemistry for "General Engineering...
5 point
27016
Design-Build 1: Devices for measuring cell growth
5 point
02631
Introduction to programming and data processing
5 point
2.SEMESTER
2.SEMESTER
01006
Advanced Engineering Mathematics 1
10 point
10018
Physics 1
5 point
02135
Introduction to Cyber Systems
5 point

Choose one of the following three courses:...
5 point
10240
Design-Build 2: Rational catalyst design for...
5 point
3.SEMESTER
3.SEMESTER
01019
Discrete Mathematics
5 point
01034
Advanced Engineering Mathematics 2
5 point
02157
Functional Programming
5 point
02402
Introduction to Statistics
5 point
27020
Interdisciplinary bioengineering
5 point
47203
Design-Build 3: solar cooker
5 point
4.SEMESTER
4.SEMESTER
02105
Algorithms and Data Structures 1
5 point
02141
Computer Science Modelling
10 point
02160
Agile Object-oriented Software Development
10 point
22400
Design-Build 4: Autonomous devices for controlling...
5 point
5.SEMESTER
5.SEMESTER

Electives
30 point
6.SEMESTER
6.SEMESTER
42610
Theory of Science n Engineering
5 point

Bachelor Project
15-20 points

Electives
10 point
Preparing for MSc in Business Analytics

Please, also refer to prerequisites for this MSc

 

Prerequisites:

02402: Introduction to Statistics (5 ECTS) or 02403: Introduction to Mathematical Statistics (5 ECTS)
42101: Introduction to Operations Research (5 ECTS) (English in the E-term)

 

Suggested elective courses:

02405: Probability Theory (5 ECTS)

 

 

Preparing for MSc in Computer Science and Engineering

Please also refer to prerequisites for this MSc

 

The above recommended study plan for Cyber Systems entitles students to admission to the MSc Eng Programme in Computer Science and Engineering but it is recommended to take at least two of the following courses:

02110: Algorithms and Data Structures 2 (5 ECTS)

02155: Computer Architecture and Engineering (5 ECTS)

02156: Logical Systems and Logic Programming (5 ECTS)

02158: Concurrent Programming (5 ECTS)

02159: Operating Systems (5 ECTS)

02162: Software Engineering 2 (10 ECTS)

02170: Database Systems (5 ECTS)

02180: Introduction to Artificial Intelligence (5 ECTS)

 

Suggested elective courses:

02138: Digital Electronics 1 (5 ECTS)

02139: Digital Electronics 2 (5 ECTS)

02148: Introduction to Coordination in Distributed Applications (5 ECTS)

02450: Introduction to Machine Learning and Data Mining (5 ECTS)

02526: Mathematical Modelling (5 ECTS)

02601: Introduction to Numerical Algorithms (5 ECTS)

42101: Introduction to Operations Research (5 ECTS) (English in the E-term)

 

Preparing for MSc in Human-Centered Artificial Intelligence (Digital Media Engineering)

Please also refer to prerequisites for this MSc

 

Prerequisites:
02526: Mathematical Modelling (5 ECTS)

 

Suggested elective courses:
02110: Algorithms and Data Structures 2 (5 ECTS)
02138: Digital Electronics 1 (5 ECTS)
02139: Digital Electronics 2 (5 ECTS)
02148: Introduction to Coordination in Distributed Applications (5 ECTS)
02155: Computer Architecture and Engineering (5 ECTS)
02156: Logical Systems and Logic Programming (5 ECTS)
02158: Concurrent Programming (5 ECTS)
02159: Operating Systems (5 ECTS)
02162: Software Engineering 2 (10 ECTS)
02170: Database Systems (5 ECTS)
02180: Introduction to Artificial Intelligence (5 ECTS)
02450: Introduction to Machine Learning and Data Mining (5 ECTS)
02601: Introduction to Numerical Algorithms (5 ECTS).
42101: Introduction to Operations Research (5 ECTS) (English in the E-term)

 

Preparing for MSc in Mathematical Modelling and Computation

Please also refer to prerequisites for this MSc

 

Recommended prerequisites:
02601: Introduction to Numerical Algorithms (5 ECTS)

02610: Optimization and Data Fitting (5 ECTS)

02635: Mathematical software programming (5 ECTS)

 

Suggested elective courses:
02526: Mathematical Modelling (5 ECTS)
02180: Introduction to Artificial Intelligence (5 ECTS)
02450: Introduction to Machine Learning and Data Mining (5 ECTS)
42101: Introduction to Operations Research (5 ECTS) (English in the E-term)

 

Preparing for MSc in Transport and Logistics

Please, also refer to prerequisites for this MSc

 

Suggested elective courses:
42101: Introduction to Operations Research (5 ECTS) (English in the E-term)
42184: Data Science for Mobility (5 ECTS)

42973: Planning and modelling of infrastructure (5 ECTS)

42381: Sustainable Freight and Transport Logistics (5 ECTS)