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 		02631
Introduction to programming and data processing
5 point 		10018
Physics 1
5 point 		26030
Fundamental Chemistry
5 point 		27016
Design-Build 1
5 point
2.SEMESTER
2.SEMESTER
 01006
Advanced engineering mathematics 1
10 point 		10018
Physics 1
5 point 		10240
Design-Build 2
5 point 		12701/41680
Intr. to Living Systems or Intr. to Advanced Materials
Choose 12701 or 41680 		27008
Life Science
5 point
3.SEMESTER
3.SEMESTER
 01019
Discrete Mathematics
5 point 		01034
Advanced Engineering Mathematics 2
5 point 		02135
Intr. Cyber Systems
5 point 		02157
Functional Programming
5 point 		47203
Design-Build 3
5 point 		Elective course
See list
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
5 point
5.SEMESTER
5.SEMESTER
 Electives
See list
5 point 		Electives
See list
5 point 		Electives
See list
5 point 		Electives
See list
5 point 		Electives
See list
5 point 		Electives
See list
5 point
6.SEMESTER
6.SEMESTER
 42610
Philosophy of Science in Engineering
5 point 		Electives
See list
5 point 		Electives
See list
5 point 		Bachelor Project
Bachelor Project
15, 17.5 or 20 point Bachelor Project
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)




Updated by Marlene Daugaard Høyby on 24 February 2021
Updated by Marlene Daugaard Høyby on 24 February 2021

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26 APRIL 2024