Overview of the Bachelor's Programme
| B1 (First year) compulsory | 60 | |
| Total | 60 | |
| B2 (Second year) compulsory | 60 | |
| Total | 60 | |
| B3 (Third year) | 36 | |
| Bachelor thesis | 12 | |
| Restricted electives | 24 | |
| Free-choice electives | 24 | |
| Total | 60 | |
| BA TOTAL | 180 |
Bachelor Programme for academic year 2023-2024
B1 for cohort 2023
| Course code | Course Title | EC |
|---|---|---|
| SOW-BKI140 | Academic Reading & Writing | 2 |
| SOW-BKI122A | AI Lab Skills | 3 |
| SOW-BKI136 | Brain | 3 |
| SOW-BKI104 | Calculus I | 3 |
| SOW-BKI134 | Cognitive Psychology | 3 |
| SOW-BKI138 | Frequentist Statistics | 3 |
| SOW-BKI114 | Human-Computer Interaction | 6 |
| SOW-BKI135 | Introduction Artificial Intelligence | 3 |
| NWI-IPK001 | Introduction to Formal Reasoning | 6 |
| SOW-BKI115A | Introduction Robotics | 6 |
| SOW-BKI124 | Linear Algebra | 3 |
| NWI-IPI005 | Object Oriented Programming | 6 |
| SOW-BKI137 | Probability Theory | 3 |
| SOW-BKI142 | Personal & Professional Development I | 2 |
| SOW-BKI131 | Programming - 1 | 3 |
| SOW-BKI132 | Programming - 2 | 3 |
| SOW-BKI141 | Research Design & Scientific Method | 2 |
| TOTAL | 60 |
B2 for cohort 2022
| Course code | Course name | EC |
|---|---|---|
| SOW-BKI259 | AI: Principles and Techniques | 6 |
| SOW-BKI316 | Applied Mathematics | 6 |
| SOW-BKI203 | Bayesian Statistics | 6 |
| SOW-BKI260 | Calculus II | 3 |
| SOW-BKI255 | Cognitive Computational Neuroscience | 3 |
| NWI-IBI008 | Data Mining | 6 |
| SOW-BKI230A | Deep Learning | 6 |
| SOW-BKI256 | Functional Programming | 3 |
| SOW-BKI257 | Knowledge Representation | 3 |
| SOW-BKI250 | Natural Language Processing | 3 |
| SOW-BKI261 | Philosophy of Science | 3 |
| SOW-BKI251 | Professional Skills - 2 | 3 |
| SOW-BKI258 | Reinforcement Learning | 3 |
| SOW-BKI248 | Societal Impact of AI | 6 |
| TOTAL | 60 |
B-3 for cohort 2021
| Course code | Course name | EC |
|---|---|---|
| SOW-BKI300* | Bachelor Thesis | 12 |
| Restricted electives (24EC) | ||
| SOW-BKI332 | AI as a Science | 3 |
| SOW-BKI333 | AI in the Connected World | 3 |
| NWI-IBC036 | Big Data | 6 |
| SOW-BKI323 | Brain-Computer Interfacing | 6 |
| SOW-PSB3BC15E | Cognitive Neuropsychology | 6 |
| NWI-IPC033 | Information Modeling and Databases | 6 |
| SOW-BKI324 | Modern Software Development Techniques | 6 |
| SOW-BKI331 | Multi-Agent Systems | 3 |
| SOW-PSB3BC35E | Signal Analysis and MATLAB | 4 |
| SOW-BKI334 | Theoretical Modeling for Cognitive Science | 6 |
| Free-Choice Electives | See recommended electives | 24 |
| TOTAL | 60 | |
Students from earlier cohorts should contact the student advisor paul.homke@ru.nl in order to determine the programme that is most suitable for them. Also see the Transitional Arrangements.
* Students in the Honours Programme may replace BKI300 with BKI340 Honours Bachelor Thesis.