Applied Deep Learning in Physics and Engineering
Course, Master's level, 1FA370
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering with Introduction to Scientific Computing (F) and Linear Algebra II. Participation in Quantum Physics/Quantum Physics F. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2024
- Application code
- UU-13119
Admitted or on the waiting list?
- Registration period
- 21 October 2024–3 November 2024
- Information on registration from the department
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering with Introduction to Scientific Computing (F) and Linear Algebra II. Participation in Quantum Physics/Quantum Physics F. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 21 October 2024–3 November 2024
- Information on registration from the department
Autumn 2024 Autumn 2024, Flexible, 33%, Distance learning, English
- Location
- Flexible
- Pace of study
- 33%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering with Introduction to Scientific Computing (F) and Linear Algebra II. Participation in Quantum Physics/Quantum Physics F. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2024
- Application code
- UU-13126
Admitted or on the waiting list?
- Registration period
- 21 October 2024–3 November 2024
- Information on registration from the department
About the course
Fundamentals of Deep Learning. Generalization, Regularization and Validation, Optimization and Hyperparameter Tuning, Convolutional Neutral Networks, Recurrent Neural Networks, and Graph Neural Networks. Classification and Regression Tasks. Visualization & Advanced Computer Vision Methods. Autoencoders. Generative models, variational autoencoders, generative adversarial networks. Applications in physics and engineering, for example, image recognition, analysis of time series data, pulse shape discrimination, real-time low-power on-device computing (IoT applications); Practical skills of using the TensorFlow framework via the high-level Keras python interface; Methods to verify neural network predictions, e.g., through independent experimental data that is obtained in a lab assignment.
Outline for distance course: In the distance course, communication between teachers and students is done using the learning management system and e-meeting tools. A computer with a stable internet connection and webcam is required for participating in the course and examination.
Contact
- Study counselling
- studievagledare@physics.uu.se
- +46 18 471 35 21