Courses for ICT Innovation KTH

One of ME2062, ME2094 shall be read.

Mandatory courses

• Introduction to Robotics (DD2410) 7.5 credits
• Machine Learning (DD2421) 7.5 credits
• Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• Entrepreneurship for Engineers (ME2072) 6.0 credits
• Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits

Conditionally elective courses

• Technology-based Entrepreneurship (ME2062) 7.5 credits
• Internet Marketing (ME2094) 7.5 credits

Recommended courses

• Artificial Intelligence (DD2380) 6.0 credits
• Image Analysis and Computer Vision (DD2423) 7.5 credits
• Deep Learning in Data Science (DD2424) 7.5 credits
• Automatic Control, General Course (EL1010) 6.0 credits
• Hybrid and Embedded Control Systems (EL2450) 7.5 credits
• Control Theory and Practice, Advanced Course (EL2520) 7.5 credits
• Speech and Audio Processing (EQ2321) 7.5 credits
• Pattern Recognition and Machine Learning (EQ2341) 7.5 credits
• Analysis and Search of Visual Data (EQ2425) 7.5 credits
• Cyber-Physical Networking (EQ2871) 7.5 credits
• Stochastic Simulation (II2206) 7.5 credits
• Embedded Systems (IL2206) 7.5 credits

One of ME2062, ME2094 shall be read.

Select either EP2200+EP2950 or ID2203+ID2211.

Mandatory courses

• Data-Intensive Computing (ID2221) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• Advanced Internetworking (IK2215) 7.5 credits
• Entrepreneurship for Engineers (ME2072) 6.0 credits
• Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits

Conditionally elective courses

• Queuing Theory and Teletraffic Systems (EP2200) 7.5 credits
• Wireless Networks (EP2950) 7.5 credits
• Distributed Systems, Advanced Course (ID2203) 7.5 credits
• Data Mining, Basic Course (ID2211) 7.5 credits
• Technology-based Entrepreneurship (ME2062) 7.5 credits
• Internet Marketing (ME2094) 7.5 credits

One of ME2062, ME2094 shall be read.

Mandatory courses

• Machine Learning (DD2421) 7.5 credits
• Data Mining, Basic Course (ID2211) 7.5 credits
• Programming for Data Science (ID2214) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• Entrepreneurship for Engineers (ME2072) 6.0 credits
• Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits

Conditionally elective courses

• Technology-based Entrepreneurship (ME2062) 7.5 credits
• Internet Marketing (ME2094) 7.5 credits

Recommended courses

• Visualization (DD2257) 7.5 credits
• Artificial Intelligence (DD2380) 6.0 credits
• Language Engineering (DD2417) 7.5 credits
• Image Analysis and Computer Vision (DD2423) 7.5 credits
• Deep Learning in Data Science (DD2424) 7.5 credits
• Machine Learning, Advanced Course (DD2434) 7.5 credits
• Artificial Neural Networks and Deep Architectures (DD2437) 7.5 credits
• Statistical Methods in Applied Computer Science (DD2447) 6.0 credits
• Search Engines and Information Retrieval Systems (DD2477) 7.5 credits
• Distributed Systems, Advanced Course (ID2203) 7.5 credits
• Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits

One of ME2062, ME2094 shall be read.

Mandatory courses

• Human-Computer Interaction, Introductory Course (DH1622) 7.5 credits
• Interaction Design Methods (DH2628) 7.5 credits
• Human-Computer Interaction, Research Seminars (DH2632) 3.0 credits
• Interaction Programming and the Dynamic Web (DH2642) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• Entrepreneurship for Engineers (ME2072) 6.0 credits
• Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits

Conditionally elective courses

• Technology-based Entrepreneurship (ME2062) 7.5 credits
• Internet Marketing (ME2094) 7.5 credits

Recommended courses

• Machine Learning (DD2421) 7.5 credits
• Evaluation Methods in Human-Computer Interaction (DH2408) 6.0 credits
• Haptics, Tactile and Tangible Interaction (DH2670) 7.5 credits
• Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits

One of ME2062, ME2094 shall be read.

Mandatory courses

• Introduction to Visualization and Computer Graphics (DH2320) 6.0 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• Entrepreneurship for Engineers (ME2072) 6.0 credits
• Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits

Conditionally elective courses

• Technology-based Entrepreneurship (ME2062) 7.5 credits
• Internet Marketing (ME2094) 7.5 credits

Recommended courses

• Visualization (DD2257) 7.5 credits
• Machine Learning (DD2421) 7.5 credits
• Image Analysis and Computer Vision (DD2423) 7.5 credits
• Search Engines and Information Retrieval Systems (DD2477) 7.5 credits
• Computer Graphics and Interaction (DH2323) 6.0 credits
• Interaction Programming and the Dynamic Web (DH2642) 7.5 credits
• Signal Theory (EQ1220) 7.5 credits
• Speech and Audio Processing (EQ2321) 7.5 credits
• Pattern Recognition and Machine Learning (EQ2341) 7.5 credits
• Seminars in Information and Network Engineering (EQ2461) 3.0 credits
• Information Theory and Source Coding (EQ2845) 7.5 credits

Mandatory courses

• Degree Project in Computer Science and Engineering, specialising in ICT Innovation, Second Cycle (DA256X) 30.0 credits
• Degree Project in Electrical Engineering, specialising in ICT Innovation, Second Cycle (EA256X) 30.0 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• ICT Innovation Study Project (ME2096) 6.0 credits

Recommended courses

• Artificial Intelligence (DD2380) 6.0 credits
• Dependable Autonomous Systems (DD2528) 7.5 credits
• Applied Estimation (EL2320) 7.5 credits
• Modelling of Dynamical Systems (EL2820) 7.5 credits
• Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits
• Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits
• Embedded Systems (IL2206) 7.5 credits

Mandatory courses

• Degree Project in Computer Science and Engineering, specialising in ICT Innovation, Second Cycle (DA256X) 30.0 credits
• Degree Project in Electrical Engineering, specialising in ICT Innovation, Second Cycle (EA256X) 30.0 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• ICT Innovation Study Project (ME2096) 6.0 credits

Recommended courses

• Network Analytics (EP2420) 7.5 credits
• Networked Systems Security (EP2500) 7.5 credits
• Seminars in Information and Network Engineering (EQ2461) 3.0 credits
• Modern Methods in Software Engineering (ID2207) 7.5 credits
• Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits
• Data Mining (ID2222) 7.5 credits
• Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits
• Internet Security and Privacy (IK2206) 7.5 credits

Mandatory courses

• Degree Project in Computer Science and Engineering, specialising in ICT Innovation, Second Cycle (DA256X) 30.0 credits
• Data-Intensive Computing (ID2221) 7.5 credits
• Data Mining (ID2222) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• ICT Innovation Study Project (ME2096) 6.0 credits

Recommended courses

• Visualization (DD2257) 7.5 credits
• Artificial Intelligence (DD2380) 6.0 credits
• Language Engineering (DD2417) 7.5 credits
• Image Analysis and Computer Vision (DD2423) 7.5 credits
• Deep Learning in Data Science (DD2424) 7.5 credits
• Machine Learning, Advanced Course (DD2434) 7.5 credits
• Artificial Neural Networks and Deep Architectures (DD2437) 7.5 credits
• Statistical Methods in Applied Computer Science (DD2447) 6.0 credits
• Search Engines and Information Retrieval Systems (DD2477) 7.5 credits
• Distributed Systems, Advanced Course (ID2203) 7.5 credits
• Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits

Mandatory courses

• Degree Project in Computer Science and Engineering, specialising in ICT Innovation, Second Cycle (DA256X) 30.0 credits
• Physical Interaction Design and Realization (DH2400) 7.5 credits
• Multimodal Interaction and Interfaces (DT2140) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• ICT Innovation Study Project (ME2096) 6.0 credits

Recommended courses

• Human-Computer Interaction, Research Seminars (DH2632) 3.0 credits
• Haptics, Tactile and Tangible Interaction (DH2670) 7.5 credits
• Developing Mobile Applications (ID2216) 7.5 credits
• Mobile Networks and Services (IK2560) 7.5 credits

Mandatory courses

• Degree Project in Computer Science and Engineering, specialising in ICT Innovation, Second Cycle (DA256X) 30.0 credits
• Degree Project in Electrical Engineering, specialising in ICT Innovation, Second Cycle (EA256X) 30.0 credits
• Image and Video Processing (EQ2330) 7.5 credits
• Analysis and Search of Visual Data (EQ2425) 7.5 credits
• Research Methodology and Scientific Writing (II2202) 7.5 credits
• ICT Innovation Study Project (ME2096) 6.0 credits

Recommended courses

• Reinforcement Learning (EL2805) 7.5 credits
• Digital Signal Processing (EQ2300) 7.5 credits
• Digital Communications (EQ2310) 9.0 credits
• Machine Learning and Data Science (EQ2415) 7.5 credits
• Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits