The following courses are part of study year one.

The course application codes and study periods are valid for the academic year 2020/2021. For other academic years, different application codes and study periods may apply.

General courses

Courses that run in periods 1 and 2 of Year 2 can potentially be taken in period 1 and period 2 of Year 1 if its leads to a manageable workload for the student.

Apart from the mandatory and conditionally elective course requirements the student is free to choose from all the second cycle and language courses given at KTH to take his/her number of completed course credits to 90 ECTS. First cycle courses may be taken (though we prefer if students take second-cycle courses) but no more than 30 ECTS points can be counted towards graduation. Recommended courses is for those who would like to extend their competency and knowledge in Computer Science and Software Engineering. A final degree project must also be completed.

Mandatory courses

Course code and name Appl.code Scope P1 P2 P3 P4
DD2380 Artificial Intelligence 6.0 hp 6.0
DD2421 Machine Learning 7.5 hp 7.5
DA2205 Introduction to the Philosophy of Science and Research Methodology 7.5 hp 3.0 4.5
DD2301 Program Integrating Course in Machine Learning 3.0 hp 0.5 0.5 0.5 0.5
DD2434 Machine Learning, Advanced Course 7.5 hp 7.5

Choose among the conditionally elective courses, so that the following conditions are fulfilled:

- at least 6 courses from Application Domains + Theory, and
- at least 2 courses from Application Domains, and also
- at least 2 courses from Theory.

Examples of possible combinations of courses:
- at least 2 courses from Application Domains, and at least 4 courses from Theory,
- at least 3 courses from Application Domains, and at least 3 courses from Theory,
- at least 4 courses from Application Domains, and at least 2 courses from Theory.

Conditionally elective courses

Course code and name Appl.code Scope P1 P2 P3 P4
DD2257 Visualization Included in Application Domain Visualization 7.5 hp 7.5
DD2410 Introduction to Robotics Included in Application Domain, Robotics 7.5 hp 7.5
DD2412 Deep Learning, Advanced Course Included in Theory, Machine Learning 6.0 hp 6.0
EQ2425 Analysis and Search of Visual Data Included in Application Domain Computer Vision 7.5 hp 7.5
SF2940 Probability Theory Included in Theory, Statistics & Probability 7.5 hp 7.5
DD2435 Mathematical Modelling of Biological Systems Included in Application Domain, Computational Biology 9.0 hp 6.0 3.0
DD2423 Image Analysis and Computer Vision Included in Application Domain Computer Vision 7.5 hp 7.5
DD2447 Statistical Methods in Applied Computer Science Included in Theory, Statistics & Probability 6.0 hp 6.0
EL2320 Applied Estimation Included in Theory, Mathematics 7.5 hp 7.5
EL2805 Reinforcement Learning Included in Theory, Machine Learning 7.5 hp 7.5
ID2222 Data Mining Included in Theory, Machine Learning 7.5 hp 7.5
ID2223 Scalable Machine Learning and Deep Learning Included in Theory, Machine Learning 7.5 hp 7.5
SF1811 Optimization Included in Theory, Mathematics 6.0 hp 6.0
DD2411 Research project in Robotics, Perception and Learning Included in Application Domain, Robotics 60503 15.0 hp 4.0 3.5
DD2420 Probabilistic Graphical Models Included in Theory, Statistics & Probability 60496 7.5 hp 7.5
DD2437 Artificial Neural Networks and Deep Architectures Included in Theory, Machine Learning 60575 7.5 hp 7.5
DT2112 Speech Technology Included in Application Domain, Language Processing; Speech & Text 60450 7.5 hp 7.5
SF2930 Regression Analysis Included in Theory, Statistics & Probability 60497 7.5 hp 7.5
DD2402 Advanced Individual Course in Computational Biology Included in Application Domain, Computational Biology 60489 6.0 hp 3.0 3.0
DD2419 Project Course in Robotics and Autonomous Systems Included in Application Domain, Robotics 61280 9.0 hp 4.5 4.5
DD2438 Artificial Intelligence and Multi Agent Systems Included in Application Domain, Robotic 60501 15.0 hp 7.0 8.0
DD2476 Search Engines and Information Retrieval Systems Included in Application Domain Databases/Information Retrieval 60493 9.0 hp 6.0 3.0
DD2401 Neuroscience Included in Application Domain, Computational Biology 60502 7.5 hp 7.5
DD2418 Language Engineering Included in Application Domain Language Processing; Speech & Text 60512 6.0 hp 6.0
DD2424 Deep Learning in Data Science Included in Application Domain Computer Vision 60491 7.5 hp 7.5
DT2119 Speech and Speaker Recognition Included in Application Domain, Language Processing; Speech & Text 60454 7.5 hp 7.5
EQ2341 Pattern Recognition and Machine Learning Included in Theory, Machine Learning 60413 7.5 hp 7.5
SF2943 Time Series Analysis Included in Theory, Statistics & Probability 60498 7.5 hp 7.5

Recommended courses

Course code and name Appl.code Scope P1 P2 P3 P4
ID2213 Logic Programming 7.5 hp 7.5
ID2221 Data-Intensive Computing 7.5 hp 7.5
DD2395 Computer Security 6.0 hp 6.0
DD1388 Program System Construction Using C++ 60494 7.5 hp 4.0 3.5
DD2352 Algorithms and Complexity 60499 7.5 hp 4.5 3.0
DH2642 Interaction Programming and the Dynamic Web 60448 7.5 hp 4.5 3.0
SF2568 Parallel Computations for Large- Scale Problems 60492 7.5 hp 3.0 4.5
DD2448 Foundations of Cryptography 60490 7.5 hp 7.5