CAS Natural Language Processing - AI for Language
Mathematical Institute
Machine translation, information extraction, question answering and non-sense natural language generation performed by NLP algorithms are already part of everyday life. However, the new semantic understanding capabilities seen in recent trained transformers like Large Language Models (LLM) like ChatGPT, BERT and Gemini not only expand the NLP application space enormously, but also represent possible first steps towards consciousness and mind outside human and animal nerve systems.
The program targets practitioners who aim for an overview of the NLP domain with focus on recent developments (deep learning models) and hands-on learning. Programming skills and some machine learning experiences are an advantage, however, not really required as we offer a free pre-course in Python.
The CAS format is designed to align with the participants’ main professional and study activities. The workload is on average about 20% of a full-time position over a year. The teaching and learning approaches are team and discussion oriented, aimed at developing practical competency. All modules can also be attended online.
Degree | Certificate of Advanced Studies in Natural Language Processing NLP University of Bern (CAS NLP Unibe) |
---|---|
Start | 08/2024 |
Length | August 2024 – July 2025 |
Scope | 16 ECTS |
Cycle | Annual |
Flexible entry possible | No |
Single module visitable | Yes |
Place | University of Bern; Mürren, Bernese Oberland (Module 6); Camogli, Liguria, Italy (Module 3) |
Language | English |
Admission | The prerequisite for admission to the programme is a degree from a university or a university of applied sciences. |
Registration until | 2024/08/04 |
Cost | CHF 9'600 |
Special Offer | Students and Employees of the University of Bern: CHF 5’600 |
Organising institutions | Mathematical Institute |
Modules
If there are free places, modules can be attended individually.
Module 1: NLP Fundamentals
Block module. In this module, linguistics and machine learning concepts are introduced and an overview of the NLP field and common applications is given.
Module 2: Preprocessing and basic analysis
Block module. In this module, participants learn to perform basic preprocessing and analysis of natural language.
Module 3: Neural networks
In this module, participants learn how neural networks work, are trained, tuned, assessed and applied for NLP tasks
Module 3 takes place at the mediterranean coast. Full pension hotel accommodation is included in the CAS fee.
Module 4: Transformers
Participants study transformers and learn why they have changed the NLP field.
Module 5: Philosophical and ethical aspects of NLP
In this module, participants study and discuss ethical and philosophical aspects related to machines being capable of natural language processing.
Module 6: Frontier and applications
This module consolidates the knowledge obtained from previous modules to focus on prominent NLP topics and applications.
Module 6 takes place in the wonderful historic hotel Regina in the ski resort Mürren (Bernese oberland), only about two train hours from Bern. Full pension hotel accommodations are included in the CAS fee.
All modules
The duration of all modules corresponds to approximately 20 classroom hours each and module work (expected eff ort is 30 hours), with each complete module qualifying for 2 ECTS points. The expected workload for the CAS Project is 120 hours. Computational resources are offered.
About the program
The CAS Natural Language Processing is a university study program leading to a “Certificate of Advanced Studies in Natural Language Processing” awarded by the University of Bern.
The field Natural Language Processing belongs to both computational linguistics as its engineering domain and artificial intelligence as an increasingly important subdomain. The applications based on deep neural networks have reached a
performance level which cannot be ignored by any field that is processing natural languages.
The program is organised into six modules, running over 18 course days from August to January and targets practitioners who aim for an overview of the NLP domain with focus on recent developments (deep learning models) and hands-on learning. The difficulty is at a university master level and assumes own basic machine learning experience, programming skills and a higher education degree.
Objectives
Course competence is developed throughout six modules and a CAS project work. On completion the graduates will (be able to):
- have an overview of the NLP domain and common applications
- be able to perform relevant preprocessing tasks needed for advanced NLP
- be able to understand neural networks and practice them on own NLP applications
- be able to understand transformers and practice transfer learning with transformers for own applications
- know discussions related to philosophical and ethical aspects around NLP and artificial intelligence
- be familiar with active research in the NLP domain.
Schedule 2023/24
Abbreviation | Building |
---|---|
ExWi | Exakte Wissenschaften (Sidlerstrasse 5) |
UniM | Uni Mittelstrasse (Mittelstrasse 43) |
HG | Main Building (Hochschulstrasse 4) |
PT | Parkterrasse 14 |
UT | Unitobler (Muesmattstrasse) |
Information Events
Learn everything you need to know about the CAS in Natural Language Processing. One introduction is mandatory, remote participation is possible.
Introductionary courses
Prepare yourself for the CAS Modules. We offer the following introductionary courses to refresh your knowledge.
Title | Date | Time | Location | Lecturer | Description | Comments |
---|---|---|---|---|---|---|
Introduction to Programming (Python) |
2023-08-14 | 09:15 - 17:00 | UT
F-123 |
Dr. K. Sipos | This course is intended for CAS ADS students but CAS NLP participants who would like to refresh their Python programming knowledge are welcome too. | Link to Ilias course |
Mathematical Methods for Data Science and Machine Learning |
2023-08-15 - 2023-08-18
(4 half days) |
09:15 - 12:30 | UT
F-121 |
Dr. K. Sipos | This course is intended for CAS AML students, but interested CAS NLP participants who wish to deepen their mathematical knowledge and learn about machine learning mathematics are welcome too. | Link to Ilias course |
Modules
All Information about Modules 1-6.
Course materials are accessed via the Ilias learning platform.
Module | Course Title | Date | Time | Location | Lecturer(s) | Comments |
---|---|---|---|---|---|---|
Module 1 |
M1 NLP Fundamentals | 2023-08-22 - 2023-08-25
(4 Days) |
09:00 - 12:30 | UT
F-111 |
Prof. Dr. T. Hodel | |
M1 Project | TBD | |||||
Module 2 |
M2 Preprocessing and basic analysis | 2023-08-29 - 2023-09-01
(4 Days) |
09:00 - 12:30 | UniM
016 |
||
M2 Project | TBD | |||||
Module 3 |
M3 Neural Networks | 2023-10-09 - 2023-10-13
(5 Days) |
08:30 - 12:30
17:00 - 19:00 |
TBD (Mediterranean Coast) | PD Dr. S. Haug, Dr. M. Vladymyrov | Monday is arrival day - On Monday, the module content starts 17:00. On Friday the module ends at 12:30 |
M3 Project | TBD | |||||
Module 4 |
M4 Transformers | Every Friday
2023-10-20 until 2023-12-15 |
15:15 - 17:00 | ExWi B1 |
M.Sc. J. Niklaus, Dr. Sukanya Nath | |
M4 Project | TBD | |||||
Module 5 |
M5 Philosophical and ethical aspects of NLP | Every Friday 2023-10-20 until 2023-12-15 |
13:15 - 15:00 | ExWi B1 |
Prof. Dr. Dr. C. Beisbart | |
M5 Project | ||||||
Module 6 |
M6 Frontier and applications | 2024-01-29 - 2024-02-02
(5 Days) |
08:30 - 12:30 17:00 - 19:00 |
Hotel Regina Mürren
(Bernese Oberland) |
PD Dr. S. Haug, Dr. M. Vladymyrov | On Friday the module ends at 12:30 |
Final Project |
Deadline | 2024-06-15 | Submit your project report as a pdf by uploading it here. In that pdf, also provide a link to your CAS repository with the code/notebooks etc. If the pdf is confidential, submit it as email to Sigve. The link also provides information about how to write the report. | |||
Graduation Event | Poster Session |
2024 August 30 | 14:30 |
ExWi Foyer, |
Deadline registration and poster session: 25.08.2024 Please find more information here. |
Events and other important dates
Title | Date | Time | Location | Comments |
---|---|---|---|---|
CAS Completion Notification |
2024-07-31 | Be informed that you have completed the CAS programme | ||
CAS Graduation Celebration |
2024-08-30 | 13:30-16:30 and 17:00-22:00 | Sidlerstrasse 5 ground floor and Lesbar in Münstergasse | Symposium with CAS project posters in Sidlerstrasse. Apero rich in Lesbar. Registration here. You will also receive an invitation per email in July. |
Schedule 2024/25
Abbreviation | Building |
---|---|
ExWi | Exakte Wissenschaften (Sidlerstrasse 5) |
UniM | Uni Mittelstrasse (Mittelstrasse 43) |
HG | Main Building (Hochschulstrasse 4) |
PT | Parkterrasse 14 |
UT | Unitobler (Muesmattstrasse) |
Information Events
Learn everything you need to know about the CAS in Natural Language Processing. One introduction is mandatory, remote participation is possible.
Date | Time | Location | Title | Lecturer | Comments |
---|---|---|---|---|---|
2024-03-11 | 18:15 - 20:00 | HG 208 |
Introduction to CAS NLP | PD Dr. S. Haug | Link to Zoom Meeting |
2024-07-10 | 18:15 - 20:00 | UniS Raum S 201 | Introduction to CAS NLP | PD Dr. S. Haug | Link to Zoom Meeting |
Introductionary courses
Prepare yourself for the CAS Modules. We offer the following introductionary courses to refresh your knowledge.
Title | Date | Time | Location | Lecturer | Description | Comments |
---|---|---|---|---|---|---|
Introduction to Programming (Python) |
2024-08-12 | 09:15 - 17:00 | UT, room F -121 | Dr. K. Sipos | This course is intended for CAS ADS students but CAS NLP participants who would like to refresh their Python programming knowledge are welcome too. | Link to Ilias |
Mathematical Methods for Data Science and Machine Learning |
2024-08-13 - 2024-08-16
(4 half days) |
09:15 - 12:30 | UT, room F -121 | Dr. K. Sipos | This course is intended for CAS AML students, but interested CAS NLP participants who wish to deepen their mathematical knowledge and learn about machine learning mathematics are welcome too. | Link to Ilias |
Modules
All Information about Modules 1-6.
Course materials are accessed via the Ilias Learning Platform upon receiving the course password.
Module | Course Title | Date | Time | Location | Lecturer(s) | Comments |
---|---|---|---|---|---|---|
Module 1 |
M1 NLP Fundamentals | 2024-08-20 - 2024-08-23
(4 Days) |
09:00 - 12:30 | Tuesday, 2024-08-20: UniM, room 016 Wednesday, 2024-08-21: UniM, room 016 Thursday, 2024-08-22: UniM, room 216 Friday, 2024-08-23: UniM, room 216 |
Prof. Dr. T. Hodel | |
M1 Project | TBD | |||||
Module 2 |
M2 Preprocessing and basic analysis | 2024-08-27 - 2024-08-30
(4 Days) |
09:00 - 12:30 | Tuesday, 2024-08-27: UniM, room 016 Wednesday, 2024-08-28: UniM, room 016 Thursday, 2024-08-29: UniM, room 016 Friday, 2024-08-30: UniM, room 116 |
Dr. Christa Schneider | |
M2 Project | TBD | |||||
Module 3 |
M3 Neural Networks | 2024-10-07 - 2024-10-11
(4 Days) |
08:30 - 12:30
17:00 - 19:00 |
Hotel Cenobio Dei Dogi - Camogli (Liguria, Italy) | PD Dr. S. Haug, Dr. M. Vladymyrov, A. Alhineidi | Monday is arrival day - On Monday, the module content starts 17:00. On Friday the module ends at 12:30 |
M3 Project | TBD | |||||
Module 4 |
M4 Transformers | Every Friday
2024-10-18 until 2024-12-13 |
15:15 - 17:00 | ExWi, room B078 |
Dr. Sukanya Nath | |
M4 Project | TBD | |||||
Module 5 |
M5 Philosophical and ethical aspects of NLP | Every Friday 2024-10-18 until 2024-12-13 |
13:15 - 15:00 | ExWi, room A097 |
Prof. Dr. Dr. C. Beisbart | |
M5 Project | ||||||
Module 6 |
M6 Frontier and applications | 2025-01-27 - 2025-01-31
(4 Days) |
08:30 - 12:30 17:00 - 19:00 |
Hotel Regina Mürren
(Bernese Oberland) |
Dr. Sukanya Nath, PD Dr. S. Haug | Monday is arrival day - On Friday the module ends at 12:30 |
M6 Project | ||||||
Final Project |
||||||
Final Project deadline |
Events and other important dates
Title | Date | Time | Location | Comments |
---|---|---|---|---|
CAS Apero |
2024-08-23 | 17:00 | TBD | Come together and have a drink or two |
CAS Completion Notification |
2025-07-31 | Be informed that you have completed the CAS programme | ||
CAS Graduation Celebration |
late August / early September | TBD | TBD | Celebrate your Graduation! |
Organising institution and faculty
The Certificate of Advanced Studies (CAS) in Natural Language Processing (NLP) is offered by the Mathematical Institute.
Program management
- Prof. Dr. Jan Draisma
- Prof. Dr. Tobias Hodel
- Prof. Dr. Paolo Favaro
- PD Dr. Sigve Haug (director of studies)
- Prof. Dr. Christiane Tretter (chair)
- Prof. Dr. Thomas Wihler
Lecturers
- Prof. Dr. Dr. Claus Beisbart
- PD Dr. Sigve Haug
- Prof. Dr. T. Hodel
- Dr. Kinga Sipos
- Dr. Mykhailo Vladymyrov
- M.Sc. Joel Niklaus,
- M. A. Phillip Ströbel
- et al.
Admission
Target groups
Aimed at students and professionals from the public/private sector that hold a degree from a university or a university of applied sciences (e.g. BSc, MSc, PhD).
SUITABLE AND INTENDED FOR PRACTITIONERS AND RESEARCHERS ► Gain an overview of the Natural Language Processing domain with a focus on recent developments (deep learning models) and hands-on learning.
Standard data sets are provided, but participants are encouraged to bring or acquire their own. lf you have any questions regarding whether this program could work for you, please do not hesitate to contact us.
Registered participants will receive acceptance confirmation by email and will be invited to one of the next information events. Attendance to one information event is mandatory. Participants can cancel their registrations before the deadline without any costs. After the deadline the regulations apply. Individual modules and electives can be attended before the registration. Please contact PD Dr. Sigve Haug for further information.
Registration opens in November and a maximum of 20 registrations can be accepted each year. Registrations are processed in the order of arrival. The CAS can only be offered if there are sufficient registrations by the deadline.
Deadline: 2025-06-30
Application and tuition fees
Per year there are 20 places. Registrations are accepted in the order they arrive. A waiting list is maintained.
Program fees
Regular CAS program: CHF 9'600.-
Students currently enrolled in an University or University of Applied Sciences: CHF 5'600.-
Employees of University of Bern: CHF 5'600.-
Payment in installments is possible.
lnclusive of all modules, performance assessments, certificates, materials & teaching platforms, coffee breaks, full pension hotels (Module 3 and Module 6) and diploma apero.
Participants must supply their own laptops.
lf there are free places, modules can be attended individually. Prices are CHF 300.- per half day. Individual modules are accredited with certificates which are accumulated for the full CAS NLP.
Testimonials
"The CAS NLP at the University of Bern provides a deep insight into the secrets of Large Language Models. After the course, I was not only able to better understand how these models work, but also to train such models myself and programme them for my needs. The course is run by highly competent staff from the University of Bern and the small course groups allow for individual support. I can definitely recommend the course."
"It has been a true pleasure to learn from excellent experts in the field of Natural Language Processing. On top of their expertise, they created a very friendly and cooperative atmosphere, which stimulated exchange and creativity.Special acknowledgments go to Mykhailo and Sukanya for their code examples. The NLP_M3_NN_Tutorial by Mykhailo was particularly helpful when implementing the Siamese networks, presented at the end of module 3, during work for the assessment of module 4, as well as for the implementation of some aspects of the sentence transformers code presented in the current report. Besides her excellent lectures on Transformers, Sukanya was very kind and took her time after one of her lectures to helpme understand what I had to do in order to install the TensorFlow package. Without her help, none of the implementations presented in this report would have been possible."
"Special acknowledgments go to Sigve for the excellent course organization. He has understood to join work and leisure, best represented by the weeks in Italy and at Mürren. These weeks represent wonderful experiences, which made the group grow close. In particular, I will never forget the boat trip along the Liguria coast and the sledge ride and the party at the “Bliemli Chäller” at Mürren. These are moments, which make life worth living."
Contact
Claire Dové
DI & DO
Sigve Haug
MO-FR
Cheyenne Friedrich
DI & MI
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