Overview of modules taught in English

School of Engineering and Environment

We offer you a wide range of English-language Engineering and Computer Sciences modules that can be combined to suit your individual requirements.

Data Science & Artificial Intelligence

In the BSc Data Science & Artificial Intelligence programme, there are no traditional face to face lectures. Instead, you will get access to an online library with learning videos, texts and assignments to acquire the knowledge of a Data Scientist. As a self-directed learner, you decide when you learn – at home or on campus. You will be supported by an English-speaking coach who will provide you with the necessary study materials in English.

Data Analysis

ID	Module name	Level	ECTS	Semester
9370887	Probability Modelling (wer)	Basic	3	Fall and Spring
9370912	Statistical Learning (stl)	Advanced	4	Fall and Spring
9316482	Bayesian Data Analysis (bda)	Advanced	2	Fall and Spring
9384037	Stochastic Processes and Time Series (spz)	Advanced	3	Fall and Spring

Computer Science and Programming

ID	Module name	Level	ECTS	Semester
9316486	Software Construction (sko)	Intermediate	3	Fall and Spring
9816663	AI-Supported Programming (kip)	Intermediate	3	Fall and Spring
9316487	Efficient Machine Learning Algorithms (eml)	Advanced	3	Fall and Spring

Data Processing and Infrastructure

ID	Module name	Level	ECTS	Semester
9314627	Foundation in Databases (gdb)	Basic	3	Fall
9370920	Data Wrangling (daw)	Intermediate	4	Fall and Spring
9316490	Database Design and Implementation (ddi)	Intermediate	3	Fall and Spring
9316493	Web Data Collection (wdb)	Intermediate	2	Fall and Spring
9316492	Data Collection IoT (idb)	Intermediate	2	Fall and Spring
9470696	Foundation in Image and Signal Processing (gbsv)	Intermediate	3	Fall and Spring
9316495	Cloud Infrastructure and Computing (cic)	Advanced	3	Fall and Spring
9419063	High Performance Computing (hpc)	Advanced	4	Fall and Spring

Machine Learning

ID	Module name	Level	ECTS	Semester
9405106	Foundation in Machine Learning (gml)	Intermediate	6	Fall
9732609	Deep Learning (del)	Advanced	3	Fall and Spring
9732625	Advanced Deep Learning (vdl)	Advanced	3	Fall and Spring
9732630	Explainable AI (eai)	Advanced	3	Fall and Spring

Applied Data Science

ID	Module name	Level	ECTS	Semester
9732614	Foundation in Data Science (gds)	Basic	2	Fall and Spring
9419152	Recommender Systems (rsy)	Intermediate	4	Fall and Spring
9470867	Applied Machine Learning (aml)	Intermediate	4	Fall and Spring
9816674	Modeling and simulation of complex systems	Intermediate	3	Fall and Spring
9816681	Sustainable design of data-driven systems	Intermediate	3	Fall and Spring
9316505	Natural Language Processing (npr)	Advanced	4	Fall and Spring
9470881	Deep Learning on Image and Signal (dlbs)	Advanced	3	Fall and Spring

Data Visualisation

ID	Module name	Level	ECTS	Semester
9370926	Foundation in Data Visualisation (gdv)	Basic	3	Fall and Spring
9370929	Interactive Visualisation (ivi)	Basic	2	Fall and Spring
9316514	Visual Analytics (van)	Intermediate	2	Fall and Spring

Communication

ID	Module name	Level	ECTS	Semester
9370941	Foundation in Writing (gsr)	Basic	3	Fall and Spring
9314642	Presenting (pra)	Basic	3	Fall and Spring
9544556	Effective Argumentation (wiar)	Basic	2	Fall and Spring
9370946	Digital Communication (dko)	Basic	2	Fall and Spring
9370949	Data Storytelling (std)	Intermediate	2	Fall and Spring
9370944	Advanced Writing (vsr)	Intermediate	3	Fall and Spring

Humanities and Economics

ID	Module name	Level	ECTS	Semester
9314639	Information Literacy (ink)	Basic	2	Fall
9316521	Data-Driven Business Models (dgm)	Basic	2	Fall
9544563	Design Thinking for Data Scientists (dtds)	Basic	2	Fall
9370953	Ethical Reflection (ere)	Intermediate	2	Fall and Spring
9316530	Ethical Implementation (eim)	Intermediate	2	Fall and Spring
9316541	Knowledge Management (wima)	Intermediate	2	Fall and Spring
9316517	Introduction to Business Administration (bwg)	Intermediate	3	Fall and Spring
9732621	Digital Entrepreneurship & Innovation (dei)	Intermediate	4	Fall and Spring
9732634	Social Embedding of a Data Science Challenge (gedp)	Intermediate	3	Fall and Spring

World of Work

ID	Module name	Level	ECTS	Semester
9470882	Selfmanagement (smg)	Basic	2	Fall and Spring
9316557	Participative Events (pvd)	Basic	2	Fall and Spring
9316544	Digital Portfolio (dpo)	Basic	3	Fall and Spring
9316531	Intercultural Competency (iko)	Intermediate	2	Fall and Spring
9316543	Personal Knowledge Management (pwm)	Intermediate	2	Fall and Spring
9470888	Leadership (lds)	Intermediate	2	Fall and Spring

English-taught modules of the other programmes

Computer Science

Semester	Level	ECTS	Module name
Fall	Basic	3	Object Oriented Programming 1
Fall	Basic	3	Fundamentals of Mathematics for Computer Science
Fall	Basic	3	Requirements Engineering
Fall	Basic	6	Project 3 Computer Science
Fall	Basic	3	Project Management
Fall	Basic	3	Software Development Process
Fall	Intermediate	3	Computer Graphics
Fall	Intermediate	3	Design Patterns
Fall	Intermediate	3	E-Solutions
Fall	Intermediate	3	Marketing and Product Management
Fall	Intermediate	3	Media Computing
Fall	Intermediate	3	Software Construction
Fall	Intermediate	3	Software Testing and Quality Management
Fall	Advanced	6	Project 5
	Advanced		iPOLE
Fall	Advanced	12	Project 6 / Bachelor-Thesis
Fall	Advanced	3	Web Frameworks
Fall	Advanced	3	Game Design and Development
Fall	Basic	3	Design Patterns
Fall	Advanced	3	Simulation & Agents
Fall	Intermediate	3	Introduction to Perl for Programmers
Spring	Basic	6	Project 4 Computer Science
Spring	Basic	3	Requirements Engineering
Spring	Intermediate	3	Discrete Stochastics
Spring	Intermediate	3	Mathematics for Data Communication
Spring	Intermediate	3	Object Oriented Programming 2
Spring	Intermediate	3	Current Management Topics by MOOCs
Spring	Intermediate	3	Software Construction
Spring	Advanced	3	Game Design and Development
Spring	Advanced	3	Visualising Information
Spring	Advanced	3	Machine Learning (Online Course)
Spring	Advanced	6	Project 5 Computer Science
Spring	Advanced	6	iPOLE
Spring	Advanced	12	Project 6 Computer Science/ Bachelor-Thesis
Spring	Intermediate	3	Introduction to Theoretical Computer Science
Spring	Advanced	3	Visualising Information

Electrical and Information Technology

Semester	Level	ECTS	Module name
Fall	Intermediate	3	Thermodynamics
Fall	Intermediate	6	Project 3 Electrical and Information Technology
Fall	Advanced	3	Communications Technology
Spring	Intermediate	3	Control Engineering – Fundamentals
Spring	Intermediate	6	Project 4 Electrical and Information Technology
Spring	Advanced	3	Smart Power Engineering
Spring	Advanced	3	Embedded Systems Software Design
Spring	Advanced	3	Analog Circuits for Embedded Systems
Fall or Spring	Advanced	6	Project 5 Electrical and Information Technology
Fall or Spring	Advanced	12	Project 6 Electrical and Information Technology (Bachelor Thesis)

Systems Engineering

Semester	Level	ECTS	Module name
Fall	Intermediate	3	Modelling of Dynamic Systems
Spring	Intermediate	3	Fundamentals of Control Engineering
Summer School	Basic	1	Automationweek

Engineering Management

Fall	Advanced	3	Mastering Digital Enabled Sales
Spring	Advanced	3	Integrating Sustainable Product Management

Energy and Environmental Technology

Semester	Level	ECTS	Module name
Fall	Advanced	6	Project 5 Energy and Environmental Technology
Fall	Advanced	12	Project 6 Energy and Environmental Technology (BT)
Spring	Advanced	6	Project 5 Energy and Environmental Technology
Spring	Advanced	12	Project 6 Energy and Environmental Technology (BT)
Fall and Spring			Professional Experience Project (PEP)

Mechanical Engineering

Semester	Level	ECTS	Module name
Fall	Intermediate	3	Manufacturing 1
Fall	Advanced	3	Simulation und Validierung
Fall	Advanced	6	Project 5 Mechanical Engineering
Fall	Advanced	12	Project 6 Mechanical Engineering (Bachelor Thesis)
Spring	Advanced	3	Advanced Composites
Spring	Advanced	3	Advanced Materials
Spring	Advanced	6	Project 5 Mechanical Engineering
Spring	Advanced	12	Project 6 Mechanical Engineering (Bachelor Thesis)

Context

Semester	Level	ECTS	Module name
Fall and Spring	B1 - B2	2	English Language*
Fall and Spring	C1 - C2	2	English Electives*
Fall and Spring	Basic	2	Intercultural Awareness
Fall and Spring	Basic	2	Business Accounting for Strategic Management
Fall and Spring	Basic	2	South Africa - Present and Past
Fall and Spring	A1 - A2	2	German language for exchange students
Fall and Spring	Basic	2	International Business and Human Rights / Exploring the Links Between Business Operations and Human Rights

* Admission to English Language E1-E4 and English Electives will be based on a Placement Test.

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Overview of modules taught in English

Data Science & Artificial Intelligence

English-taught modules of the other programmes

Overview of modules taught in English, FHNW School of Engineering and Environment

Data Science & Artificial Intelligence

English-taught modules of the other programmes

Overview of modules taught in English