Table of Contents

Dates and Deadlines

Lecture Dates and Deadlines WS22/23

Lecture periods

  • 17.10.2022 – 10.02.2023
  • 17.04.2023 – 21.07.2023
  • 16.10.2023 – 09.02.2024
  • 15.04.2024 – 19.07.2024

Lecture-free days

  • Good Friday: 07.04.2023

  • Easter Monday: 10.04.2023

  • May Day: 01.05.2023

  • Ascension Day: 18.05.2023

  • Whitsun Vacations: 27.05.2023 – 30.05.2023

  • Feast of Corpus Christi: 08.06.2023
  • Assumption Day: 15.08.2023

  • German Reunification Day: 03.10.2023

  • All Saints' Day 01.11.2023

  • Dies Academicus: 07.12.2023

  • Christmas Vacation: 24.12.2023 – 06.01.2024

Exam Dates and Deadlines WS22/23

Exam period

  • Required Modules:  20.02.2023 – 10.03.2023
  • Elective Modules:  06.02.2023 – 10.03.2023

Exam registration

(for every sort of exam: also take home exams, seminar works, project works, …)

  • 21.11.2022 – 15.01.2023
  • Late registration will not be possible!

Please register yourself via your curriculum support

Exam Dates and Deadlines Summer Semester 2023

Exam period

  • Required Modules:  31.07.2023 - 18.08.2023
  • Elective Modules:  24.07.2023 – 08.09.2023

Exam registration

(for every sort of exam: also take home exams, seminar works, project works, …)

    • 22.05.2023 – 30.06.2023
    • Late registration will not be possible!
    • Please register yourself via your curriculum support

Exam deregistration

If you have problems with the registration, please contact Ms Römpp (martina.roempp@tum.de) before the deadline expires.

Should you retreat from an examination due to illness, you must inform the examination board (examinations administration) immediately. A medical certificate (not the yellow “Arbeitsunfähigkeitsbescheinigung”) must state the beginning and the end of the inability to take an examination. What sort of information must be included in the medical certificate you can find here: https://www.tum.de/en/studies/during-your-studies/organizing-your-studies/examinations/withdrawing-from-examinations-medical-certificates

Understanding Credits (ETCS) and Workload

Credits

Credits represent points awarded for work completed successfully in a given modul (Credits are commonly referred to as credit points, ECTS points, CP or ECTS credit points).
The greater the total student workload required to complete a module, the higher the number of credits the module is assigned. The rule is: 1 Credit ≙ 30 hrs student workload.

Example:
In a module awarding 5 credits, students are expected to invest 150 hours of work time, or (5 x 30h). The determination of workload is based on a variety of variables, including contact hours (e.g. time spent in lectures, exercise courses, seminars, etc.) and independent study (e.g. time spent for preparation and review of course content, the completion of homework and exercise course materials, and time spent preparing for exams).


Credits are not awarded for merely attending the module, but only after verification of successful completion of the module exam.

Source: TUM Glossary https://www.tum.de/en/studies/during-your-studies/organizing-your-studies/key-words-concerning-your-studies#c2313

Workload

Workload is expressed in hours and constitutes the basis of assigning the number of credits to modules. The rule is: 1 credit ≙ 30 h of student workload.

A variety of factors in addition to time spent in the classroom (contact time) are taken into consideration when calculating student workload, including independent study. The latter accounts for preparation and review times for lecture material, exam preparation time, as well as time required to prepare reports, homework, project assignments, and e-learning units.
Expressing workload in terms of credits serves to make transparent for students, teachers and administrators the amount of work required to successfully complete a given degree program and that the program’s objectives can realistically be achieved in the specified number of semesters. The target of 30 credits per semester is, thus, equivalent to a total of 900 working hours per semester. Based on a 46 week course of study, with 6 weeks of vacation per year, this is equivalent on average to a 39 hour work week.

Source: TUM Glossary https://www.tum.de/en/studies/during-your-studies/organizing-your-studies/key-words-concerning-your-studies#c2313

Timetable SS23

Semester 2 (Updated 21.03.23)

Timetable WS22/23

Semester 1 (Updated 20.10.22)

Understanding the Timetable

Compulsory Modules

The compulsory modules in the first three semesters (totaling 54 credit points) are taught as a combination of 3CP and 6CP lectures, exercises, and seminars specifically designed to transfer core knowledge on information technologies in the built environment. They are offered by the area’s architecture, civil engineering, and geodesy from the TUM School of Engineering and Design. Modules such as “BIM.fundamentals” (architecture and civil engineering), or “Semantic Modeling for the Built Environment”, and “Distributed and Cloud-Based Systems” (civil engineering and geodesy) are taught collaboratively, by different professors from different domain backgrounds. Additionally, elements of modules such as Semantic Modelling of the Build World (ITBE and GuG) or BIM.fundamentals (ITBE, AR, BI) are available to students in multiple built environment master’s degrees connecting students across disciplines.

For a more detailed description of the modules, please refer to the module catalog.

List of Compulsory Modules

Nr. **

Module description

Teaching format


Semester

SWS

Credits

Exam type

Exam duration

Language

ED110045

Geospatial Information Science

VI

WiSe

4

6

K

120

EN

AR30472

Computational Design in Architecture

V

WiSe

2

K

60

EN

BGU48029

Photogrammetry and Remote Sensing 

V

WiSe

2

3

K

60

EN

ED130001

Professional Software Engineering

V + UE

WiSe

3 + 1

K

60

EN

ED110044

Semantic Modeling of the Built World

VI + VI

SoSe

3 + 2

K

120

EN

BGU65016

BIM.fundamentals

V + UE

WiSe/ SoSe

2 + 2

K

60

EN

ED130004

Platform Oriented Construction Management

VI + VI

WiSe/SoSe

2 + 2

W

-

EN

ED130002

Distributed and Cloud-Based Systems

VI + VI

WiSe

2 + 2

K

60

EN

ED130003

ITBE Fusion Lab

VI + S

WiSe

4 + 4

12

PA

-

EN


Total:




54 




**During the School transition period, module numbers may change; the old and new module numbers are listed side by side on the program website. 
SWS = Weekly hours per semester; SoSe = Summer semester; WiSe = Winter semester
V = Lecture; UE = Exercise; VI = Lecture with integrated exercise; S = Seminar; P = Practical.
K = Written exam; W = Scientific paper; Pr = Presentation; PA = Project work
EN = English; DE = German; EN/ DE = English or German

ITBE Fusion Lab

The ITBE Fusion Lab (12CP) forms a core component of the study program. This compulsory, practical, interdisciplinary project enables students to implement their theoretical and methodological knowledge from the initial two semesters in a practical scenario within interdisciplinary, collaborative, team settings. In the Lab, students are given a broad but realistic task, such as an urban design task, a data acquisition task, or a process management task, which they solve using digital methods and information technologies. The ITBE Fusion Lab requires students to work in interdisciplinary teams to identify specific issues within the frame of the task, select appropriate methods and technologies to address the selected issue, manage the development process, delegate and share jobs, and reflect on their approach. This promotes the interaction of students from different domain backgrounds as they work together in interdisciplinary teams on a common issue and are exposed to other domain perspectives. It enabling students to communicate and collaborate with people from different professional backgrounds, gives them the ability to integrate and involve different planning stakeholders according to their expertise, and provides them with the opportunity to identify and resolve conflict situations within a team. Interdisciplinarity is not only given through the interaction of students, but also through the interdisciplinary teaching and feedback provided by professors and scientific experts from the different domains within this Lab. While built environment activities can never occur without considering social implications, the Project Week within this module actively strengthens social participation aspects though sprint with student in other departments both within and outside the TUM School of Engineering and Design.

Master Thesis

In the master thesis (30CP), students identify a research question and select and develop an appropriate method to address a specific built environment research gap. They carry out a scientific investigation and analyze the results. This work is documented and communicated in a scientific paper and an oral presentation.


ED100001**


Master’s Thesis - Information Technologies for the Built Environment






30 Credits




EN/ DE


Master’s Thesis





W


4/5



Abschlusskolloquium





Pr


1/5


**During the School transition period, module numbers may change; the old and new module numbers are listed side by side on the program website. 
SWS = Weekly hours per semester; SoSe = Summer semester; WiSe = Winter semester
V = Lecture; UE = Exercise; VI = Lecture with integrated exercise; S = Seminar; P = Practical.
K = Written exam; W = Scientific paper; Pr = Presentation; PA = Project work
EN = English; DE = German; EN/ DE = English or German

Elective Modules

A minimum of 36 credits from the following (incomplete) list of elective modules of the master's degree program Information Technologies for Built Environment (ITBE) must be completed.

Of these 36 credits:

  • at least 3 credits from the elective modules "Ethics and the Human Factor",
  • at least 21 credits from the elective modules "Cross Cutting Methods",
  • up to 12 credits from the "Elective Modules TUM" (entire TUM module catalog).

The Examination Committee continuously updates the catalogue of subjects for the elective modules. Changes and additions to the elective module catalogue are announced on the program website at the beginning of the semester.

For a more detailed description of the modules, please refer to the module catalog.

Electives: Ethics and the Human Factor

Nr.**

Module description

Teaching format


Semester

SWS

Credits

Exam type

Exam duration

Language

MW2272

Interaction Prototyping

P

WiSe

3

4

PA

-

EN

MW2131

Menschliche Zuverlässigkeit

V + Ü

SoSe

2 + 1

5

K

90

DE

MW2130

Software-Ergonomie

V + Ü

WiSe

2 + 1

5

K

60

DE

**During the School transition period, module numbers may change; the old and new module numbers are listed side by side on the program website. 
SWS = Weekly hours per semester; SoSe = Summer semester; WiSe = Winter semester
V = Lecture; UE = Exercise; VI = Lecture with integrated exercise; S = Seminar; P = Practical.
K = Written exam; W = Scientific paper; Pr = Presentation; PA = Project work
EN = English; DE = German; EN/ DE = English or German

Electives: Cross Cutting Methods

Nr. **Module descriptionTeaching formatSemesterSWSCreditsExam typeExam durationLanguage
BV030004Software LabS + SWiSe + SoSe2 + 26PA-EN
ED110046Internet of Things in the Built EnvironmentVISoSe45PA-EN
ED110029Spatial Data Management and System Architectures - Advanced MethodsV + ÜWiSe3 + 25K120EN
LRG2000Big Geospatial DataV + ÜSoSe2 + 13K60EN
LRG1500Principles of Spatial Data Mining and Machine LearningV + ÜWiSe2 + 13K60EN
AR30364Parametric DesignSSoSe46PA-EN/ DE
AR30365Interactive VisualizationSWiSe46PA-EN/ DE
AR30366Performance Based DesignSWiSe46PA-EN/ DE
AR30362RendertubeSSoSe46PA-EN/ DE
BGU30047Principles of DatabasesVIWiSe35K120EN
BGU30048 Spatial Decision Support Systems VIWiSe35K120EN
BV030012 Engineering Databases VWiSe23K60EN
AR30417Robotische Fabrikation in der ArchitekturSSoSe46ÜB-EN/ DE
ED150001Modeling Urban DevelopmentV + SWiSe2 + 26K90EN
BGU65015BIM.projectSWiSe46

EN/ DE
BV550018Seminar Advanced Real Estate InvestmentSWiSe26

EN
BV550023Seminarvortrag ImmobilienentwicklungVWiSe23

EN
BV320010Introduction to Finite Element MethodsVIWiSe43

EN
BGU60020Risk AnalysisVIWiSe46K90EN
BGU60017Probabilistic life cycle analysis and integrity management of infrastructuresVIWiSe33

EN
BGU60024Seminar on Elements of Machine Learning VIWiSe23

EN
ED110087Data Science in Earth ObservationVIWiSe/SoSe55

EN
BGU69002Remote Sensing - Advanced MethodsVIWiSe25K60EN
ED110062Seminar FernerkundungSWiSe23

EN

**During the School transition period, module numbers may change; the old and new module numbers are listed side by side on the program website. 
SWS = Weekly hours per semester; SoSe = Summer semester; WiSe = Winter semester
V = Lecture; UE = Exercise; VI = Lecture with integrated exercise; S = Seminar; P = Practical.
K = Written exam; W = Scientific paper; Pr = Presentation; PA = Project work
EN = English; DE = German; EN/ DE = English or German

Recognition of Credits

Please find information regarding the recognition of credits

  • earned at another degree program at TUM,
  • earned at another university, or
  • earned during a stay abroad completed within your studies,

at https://www.tum.de/en/studies/during-your-studies/organizing-your-studies/recognition-of-credits

Registering for Courses

Please register for courses via TUMonline.

We also provide an overview of all lectures and courses of the first semester here: Timetable and Courses


It is recommended that students take about 30 credits worth of courses per semester. Please find more information on understanding credits and workload here.

When?

Registering for courses is only possible after the start of the respective semester and after you have been completely enrolled.

For information on the registration periods for modules and exams, please refer to the section Dates and Deadlines.


How?

Please register for all your courses via TUMonline to get all the relevant information.

Video on registering for courses using TUMonline:


For more information on how to register for courses using TUMonline, please refer to the following TUM Websites:

TUMonline information and manuals for students:  https://wiki.tum.de/display/docs/Students

TUMonline video tutorials: https://www.youtube.com/playlist?list=PLs1NctY9Wkc2Pm9bC257khTDweamx37KG

TUMonline FAQ: https://www.it.tum.de/en/it/faq/it-services/tumonline/




Examinations

FPSO

All examinations are governed under

The APSO contains binding procedural regulations for all diploma degree and bachelor's or master's degree programs at TUM. The FPSO governs the program-specific prerequisites for examination approvals, the examination requirements, and the course of study.



Exam Dates

Please refer to the section Dates and Deadlines.


Exam Withdrawal

Please refer to the section Dates and Deadlines.

Thesis

We will provide further information in due course.







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