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Table of Contents
CS 10 - The Beauty and Joy of Computing - Spring 2015 - Dan Garcia - UC Berkeley InfoCoBuild 6.0001 - Introduction to Computer Science and Programming in Python - MIT OCW 6.001 - Structure and Interpretation of Computer Programs, MIT CS 50 - Introduction to Computer Science, Harvard University (cs50.tv )CS 61A - Structure and Interpretation of Computer Programs [Python], UC Berkeley CPSC 110 - Systematic Program Design [Racket], University of British Columbia CS50's Understanding Technology CSE 142 Computer Programming I (Java Programming), Spring 2016 - University of Washington CS 1301 Intro to computing - Gatech CS 106A - Programming Methodology, Stanford University (Lecture Videos )CS 106B - Programming Abstractions, Stanford University (Lecture Videos )CS 106X - Programming Abstractions in C++ (Lecture Videos )CS 107 - Programming Paradigms, Stanford University CmSc 150 - Introduction to Programming with Arcade Games, Simpson College LINFO 1104 - Paradigms of computer programming, Peter Van Roy, Université catholique de Louvain, Belgium - EdX FP 101x - Introduction to Functional Programming, TU Delft Introduction to Problem Solving and Programming - IIT Kanpur Introduction to programming in C - IIT Kanpur Programming in C++ - IIT Kharagpur Python Boot Camp Fall 2016 - Berkeley Institute for Data Science (BIDS) CS 101 - Introduction to Computer Science - Udacity 6.00SC - Introduction to Computer Science and Programming (Spring 2011) - MIT OCW 6.00 - Introduction to Computer Science and Programming (Fall 2008) - MIT OCW 6.01SC - Introduction to Electrical Engineering and Computer Science I - MIT OCW Modern C++ Course (2018) - Bonn University Modern C++ (Lecture & Tutorials, 2020, Vizzo & Stachniss) - University of Bonn
Programming and Data Structures with Python, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI 6.006 - Introduction to Algorithms, MIT OCW Algorithms: Design and Analysis 1 - Stanford University Algorithms: Design and Analysis 2 - Stanford University COS 226 Algorithms, Youtube, Princeton - by Robert Sedgewick and Kevin Wayne CSE 331 Introduction to Algorithm Design and Analysis, SUNY University at Buffalo, NY - Fall 2017 (Lectures ) (Homework Walkthroughs )CSE 373 - Analysis of Algorithms, Stony Brook - Prof Skiena COP 3530 Data Structures and Algorithms, Prof Sahni, UFL (Videos )CS225 - Data Structures - University of Illinois at Urbana-Champaign (Video lectures )CS2 - Data Structures and Algorithms - Richard Buckland - UNSW Data Structures - Pepperdine University CS 161 - Design and Analysis of Algorithms, Prof. Tim Roughgarden, Stanford University 6.046J - Introduction to Algorithms - Fall 2005, MIT OCW Introduction to Algorithms (Spring 2020), MIT OCW 6.046 - Design and Analysis of Algorithms, Spring 2015 - MIT OCW CS 473 - Algorithms - University of Illinois at Urbana-Champaign (Notes - Jeff Erickson ) (YouTube )COMP300E - Programming Challenges, Prof Skiena, Hong Kong University of Science and Technology - 2009 16s-4102 - Algorithms, University of Virginia (Youtube )CS 61B - Data Structures (Java) - UC Berkeley (Youtube )CS 170 Algorithms - UCBerkeley Fall 2018, Youtube Fall 2018,Bilibili 2013 Bilibili ECS 122A - Algorithm Design and Analysis, UC Davis CSEP 521 - Applied Algorithms, Winter 2013 - University of Washington (Videos )Data Structures And Algorithms - IIT Delhi Design and Analysis of Algorithms - IIT Bombay Programming, Data Structures and Algorithms - IIT Madras Design and Analysis of Algorithms - IIT Madras Fundamental Algorithms:Design and Analysis - IIT Kharagpur Programming and Data Structure - IIT Kharagpur Programming, Data structures and Algorithms - IIT Madras Programming, Data Structures and Algorithms in Python - IIT Madras Programming and Data structures (PDS) - IIT Madras COP 5536 Advanced Data Structures, Prof Sahni - UFL (Videos )CS 261 - A Second Course in Algorithms, Stanford University (Youtube )Informatics 2B - Algorithms, Data Structures and Learning- University of Edinburgh CS 224 - Advanced Algorithms, Harvard University (Lecture Videos ) (Youtube )CS 6150 - Advanced Algorithms (Fall 2016), University of Utah CS 6150 - Advanced Algorithms (Fall 2017), University of Utah ECS 222A - Graduate Level Algorithm Design and Analysis, UC Davis 6.851 - Advanced Data Structures, MIT (MIT OCW )6.854 - Advanced Algorithms, MIT (Prof. Karger lectures )CS264 Beyond Worst-Case Analysis, Fall 2014 - Tim Roughgarden Lecture (Youtube )CS364A Algorithmic Game Theory, Fall 2013 - Tim Roughgarden Lectures CS364B Advanced Mechanism Design, Winter 2014 - Tim Roughgarden Lectures Algorithms - Aduni 6.889 - Algorithms for Planar Graphs and Beyond (Fall 2011) MIT 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs - MIT OCW Computer Algorithms - 2 - IIT Kanpur Parallel Algorithm - IIT Kanpur Graph Theory - IISC Bangalore Data Structures - mycodeschool
15-213 Introduction to Computer Systems, Fall 2015 - CMU CS361 - COMPUTER SYSTEMS - UIC CS 3650 - Computer Systems - Fall 2020 - Nat Tuck - NEU (Lectures - YouTube )CS 4400 – Computer Systems Fall 2016 - UoUtah Systems - Aduni CS110: Principles of Computer Systems - Stanford Operating Systems
CS124 Operating Systems - California Institute of Technology, Fall 2018 - Youtube CS 162 Operating Systems and Systems Programming, Spring 2015 - University of California, Berkeley CS 4414 - Operating Systems, University of Virginia (rust-class) CS 4414 Operating Systems, Fall 2018 - University of Virginia CSE 421/521 - Introduction to Operating Systems, SUNY University at Buffalo, NY - Spring 2016 (Lectures - YouTube ) (Recitations 2016 ) (Assignment walkthroughs )CS 377 - Operating Systems, Fall 16 - Umass OS 6.828 - Operating System Engineering [Fall 2014] 6.S081 - Operating System Engineering [Fall 2020] CSE 30341 - Operating Systems, Spr 2008 CSEP 551 Operating Systems Autumn 2014 - University of Washington Introduction to Operating Systems - IIT Madras CS194 Advanced Operating Systems Structures and Implementation, Spring 2013 InfoCoBuild, UC Berkeley CSE 60641 - Graduate Operating Systems, Fall 08
Distributed Systems
Real-Time Systems
6.172 Performance Engineering of Software Systems - MIT OCW Performance Evaluation of Computer Systems - IIT Madras Storage Systems - IISC Bangalore MAP6264 - Queueing Theory - FAU (Video Lectures )EE 380 Colloquim on Computer Systems - Stanford University (Lecture videos )
CMPSC 431W Database Management Systems, Fall 2015 - Penn State University Lectures - YouTube CS121 - Introduction to Relational Database Systems, Fall 2016 - Caltech CS 5530 - Database Systems, Spring 2016 - University of Utah Distributed Data Management (WT 2018/19) - HPI University of Potsdam MOOC - Database Stanford Dbclass CSEP 544, Database Management Systems, Au 2015 - University of Washington Database Design - IIT Madras Fundamentals of Database Systems - IIT Kanpur Principles of Database Management, Bart Baesens FIT9003 Database Systems Design - Monash University 15-445 - Introduction to Database Systems, CMU (YouTube-2017 , YouTube-2018 , YouTube-2019 , YouTube-2021 , YouTube-2022 )15-721 - Database Systems, CMU (YouTube-2017 , YouTube-2016 )15-721 Advanced Database Systems (Spring 2019) - CMU CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech CS 186 - Database Systems, UC Berkeley, Spring 2015 (Lectures- InfoCoBuild )CS 6530 - Graduate-level Database Systems, Fall 2016, University of Utah (Lectures - YouTube )6.830/6.814 - Database Systems [Fall 2014] Informatics 1 - Data & Analysis 2014/15- University of Edinburgh Database Management Systems, Aduni D4M - Signal Processing on Databases In-Memory Data Management (2013)Prof. Hasso Plattner - HPI Distributed Data Management (WT 2019/20) - Dr. Thorsten Papenbrock - HPI
Object Oriented Design
Software Engineering
Software Architecture
Concurrency
Mobile Application Development
CS50 - Introduction to Artificial Intelligence with Python (and Machine Learning), Harvard OCW CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2015 6.034 Artificial Intelligence, MIT OCW CS221: Artificial Intelligence: Principles and Techniques - Autumn 2019 - Stanford University 15-780 - Graduate Artificial Intelligence, Spring 14, CMU CSE 592 Applications of Artificial Intelligence, Winter 2003 - University of Washington CS322 - Introduction to Artificial Intelligence, Winter 2012-13 - UBC (YouTube )CS 4804: Introduction to Artificial Intelligence, Fall 2016 CS 5804: Introduction to Artificial Intelligence, Spring 2015 Artificial Intelligence - IIT Kharagpur Artificial Intelligence - IIT Madras Artificial Intelligence(Prof.P.Dasgupta) - IIT Kharagpur MOOC - Intro to Artificial Intelligence - Udacity MOOC - Artificial Intelligence for Robotics - Udacity Graduate Course in Artificial Intelligence, Autumn 2012 - University of Washington Agent-Based Systems 2015/16- University of Edinburgh Informatics 2D - Reasoning and Agents 2014/15- University of Edinburgh Artificial Intelligence - Hochschule Ravensburg-Weingarten Deductive Databases and Knowledge-Based Systems - Technische Universität Braunschweig, Germany Artificial Intelligence: Knowledge Representation and Reasoning - IIT Madras Semantic Web Technologies by Dr. Harald Sack - HPI Knowledge Engineering with Semantic Web Technologies by Dr. Harald Sack - HPI T81-558: Applications of Deep Neural Networks by Jeff Heaton, 2022, Washington University in St. Louis
Introduction to Machine Learning
MOOC Machine Learning Andrew Ng - Coursera/Stanford (Notes )Introduction to Machine Learning for Coders MOOC - Statistical Learning, Stanford University Foundations of Machine Learning Boot Camp, Berkeley Simons Institute CS155 - Machine Learning & Data Mining, 2017 - Caltech (Notes ) (2016 )CS 156 - Learning from Data, Caltech 10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU (YouTube )10-601 Machine Learning | CMU | Fall 2017 10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU (Fall 2014 ) (Spring 2015 by Alex Smola )10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech Microsoft Research - Machine Learning Course CS 446 - Machine Learning, Spring 2019, UIUC (Fall 2016 Lectures )undergraduate machine learning at UBC 2012, Nando de Freitas CS 229 - Machine Learning - Stanford University (Autumn 2018 )CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley CPSC 340: Machine Learning and Data Mining (2018) - UBC CS4780/5780 Machine Learning, Fall 2013 - Cornell University CS4780/5780 Machine Learning, Fall 2018 - Cornell University (Youtube )CSE474/574 Introduction to Machine Learning - SUNY University at Buffalo CS 5350/6350 - Machine Learning, Fall 2016, University of Utah ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo STAT 441/841 Classification Winter 2017 , Waterloo 10-605 - Machine Learning with Large Datasets, Fall 2016 - CMU Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge Python and machine learning - Stanford Crowd Course Initiative MOOC - Machine Learning Part 1a - Udacity/Georgia Tech (Part 1b Part 2 Part 3 )Machine Learning and Pattern Recognition 2015/16- University of Edinburgh Introductory Applied Machine Learning 2015/16- University of Edinburgh Pattern Recognition Class (2012)- Universität Heidelberg Introduction to Machine Learning and Pattern Recognition - CBCSL OSU Introduction to Machine Learning - IIT Kharagpur Introduction to Machine Learning - IIT Madras Pattern Recognition - IISC Bangalore Pattern Recognition and Application - IIT Kharagpur Pattern Recognition - IIT Madras Machine Learning Summer School 2013 - Max Planck Institute for Intelligent Systems Tübingen Machine Learning - Professor Kogan (Spring 2016) - Rutgers CS273a: Introduction to Machine Learning (YouTube )Machine Learning Crash Course 2015 COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16 10715 Advanced Introduction to Machine Learning Introduction to Machine Learning - Spring 2018 - ETH Zurich Machine Learning - Pedro Domingos- University of Washington Advanced Machine Learning - 2019 - ETH Zürich Machine Learning (COMP09012) Probabilistic Machine Learning 2020 - University of Tübingen Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen COMS W4995 - Applied Machine Learning - Spring 2020 - Columbia University Machine Learning for Engineers 2022 (YouTube )10-418 / 10-618 (Fall 2019) Machine Learning for Structured Data
Data Mining
CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington (YouTube )CS 5140/6140 - Data Mining, Spring 2016, University of Utah (Youtube )CS 5955/6955 - Data Mining, University of Utah (YouTube )Statistics 202 - Statistical Aspects of Data Mining, Summer 2007 - Google (YouTube )MOOC - Text Mining and Analytics by ChengXiang Zhai Information Retrieval SS 2014, iTunes - HPI MOOC - Data Mining with Weka CS 290 DataMining Lectures CS246 - Mining Massive Data Sets, Winter 2016, Stanford University (YouTube )Data Mining: Learning From Large Datasets - Fall 2017 - ETH Zurich Information Retrieval - Spring 2018 - ETH Zurich CAP6673 - Data Mining and Machine Learning - FAU (Video lectures )Data Warehousing and Data Mining Techniques - Technische Universität Braunschweig, Germany
Data Science
Probabilistic Graphical Modeling
Deep Learning
Reinforcement Learning
Advanced Machine Learning
Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI Machine Learning 2013 - Nando de Freitas, UBC Machine Learning, 2014-2015, University of Oxford 10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU (Spring 2015 )10-715 Advanced Introduction to Machine Learning - CMU (YouTube )CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley 18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University (Youtube )
Natural Language Processing
ML based Computer Vision
Time Series Analysis
Misc Machine Learning Topics
MOOC - Compilers - Stanford University CS 164 Hack your language, UC Berkeley (Lectures - Youtube )Theory of computation - Shai Simonson CS 173 Programming Languages, Brown University (Book )CS 421 - Programming Languages and Compilers, UIUC CSC 253 - CPython internals: A ten-hour codewalk through the Python interpreter source code, University of Rochester CSE341 - Programming Languages, Dan Grossman, Spring 2013 - University of Washington CSEP 501 - Compiler Construction, University of Washington (Lectures - Youtube )CSEP 505 Programming Languages, Winter 2015 - University of Washington DMFP - Discrete Mathematics and Functional Programming, Wheaton College CS 374 - Algorithms & Models of Computation (Fall 2014), UIUC (Lecture videos )6.045 Automata, Computability, and Complexity, MIT (Lecture Videos )MOOC - Automata - Jeffrey Ullman - Coursera CS581 Theory of Computation - Portland State University (Lectures - Youtube )Theory of Computation - Fall 2011 UC Davis TDA555 Introduction to Functional Programming - Chalmers University of Technology (Lectures - YouTube )Philip Wadler Haskell lecture recordings Functional Programming (2021) - University of Nottingham Functional Programming - University of Edinburgh - 2016-17 MOOC - Functional Programming Principles in Scala by Martin Odersky CS294 - Program Synthesis for Everyone MOOC - Principles of Reactive Programming, Scala - Coursera Category Theory for Programmers, 2014 - Bartosz Milewski (YouTube )Oregon Programming Languages Summer School (Proof theory, type theory, category theory, verification)
Inf1 - Computation and Logic 2015 - University of Edinburgh INFORMATICS 1 - FUNCTIONAL PROGRAMMING - University of Edinburgh (Videos )Compiler Design - IISC Bangalore Compiler Design - IIT Kanpur Principles of Programming Languages - IIT Delhi Principles of Compiler Design - IISC Bangalore Functional Programming in Haskell - IIT Madras Theory of Computation - IIT Kanpur Theory of Automata, Formal Languages and Computation - IIT Madras Theory of Computation - IIT Kanpur Logic for CS - IIT Delhi Principles of Compiler Design - Swarthmore College Undergrad Complexity Theory at CMU Graduate Complexity Theory at CMU Great Ideas in Theoretical Computer Science at CMU
Analysis of Boolean Functions at CMU Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015 Languages & Translators - UCLouvain LINFO2132
Internet Security (WT 2018/19) - HPI University of Potsdam 6.858 Computer Systems Security - MIT OCW CS 253 Web Security - Stanford University CS 161: Computer Security, UC Berkeley 6.875 - Cryptography - Spring 2018- MIT CSEP590A - Practical Aspects of Modern Cryptography, Winter 2011 - University of Washington (Videos )CS461/ECE422 - Computer Security - University of Illinois at Urbana-Champaign (Videos )Introduction to Cryptography, Christof Paar - Ruhr University Bochum, Germany ECS235B Foundations of Computer and Information Security - UC Davis CIS 4930/ CIS 5930 - Offensive Computer Security, Florida State University Introduction to Information Security I - IIT Madras Information Security - II - IIT Madras Introduction to Cryptology - IIT Roorkee Cryptography and Network Security - IIT Kharagpur 18-636 Browser Security, Stanford Internet Security - Weaknesses and Targets (WT 2015/16) (WT 2012/13 (YouTube ))IT Security, Steven Gordon - Thammasat University, Thailand Security and Cryptography, Steven Gordon - Thammasat University, Thailand MOOC - Cryptography - Coursera MOOC - Intro to Information Security - Udacity ICS 444 - Computer & Network Security Privacy and Security in Online Social Networks - IIT Madras Malware Dynamic Analysis - Open SecurityTraining (YouTube )CSN09112 - Network Security and Cryptography - Bill Buchanan - Edinburgh Napier CSN10107 - Security Testing and Network Forensics - Bill Buchanan - Edinburgh Napier CSN11123 - Advanced Cloud and Network Forensics - Bill Buchanan - Edinburgh Napier CSN11117 - e-Security - Bill Buchanan - Edinburgh Napier CSN08704 - Telecommunications - Bill Buchanan - Edinburgh Napier CSN11128 - Incident Response and Malware Analysis - Bill Buchanan - Edinburgh Napier Internet Security for Beginners by Dr. Christoph Meinel - HPI
CS184 - Computer Graphics, Fall 2012 - UC Berkeley ECS 175 - Computer Graphics, Fall 2009 - UC Davis 6.837 - Computer Graphics - Spring 2017 - MIT 6.838 - Shape Analysis - Spring 2017- MIT Introduction to Computer Graphics - IIT Delhi Computer Graphics - IIT Madras Computer Graphics 2012, Wolfgang Huerst, Utrecht University CS 5630/6630 - Visualization, Fall 2016, University of Utah (Lectures - Youtube )Advanced Visualization UC Davis CSCI E-234 - Introduction to Computer Graphics and GPU Programming, Harvard Extension School Computer Graphics Fall 2011, Barbara Hecker Introduction to Graphics Architecture Ray Tracing for Global Illumination, UCDavis Rendering / Ray Tracing Course, SS 2015 - TU Wien ECS 178 Introduction to Geometric Modeling, Fall 2012, UC Davis (iTunes )Computational Geometry - IIT Delhi CS 468 - Differential Geometry for Computer Science - Stanford University (Lecture videos )CMU 15-462/662: Computer Graphics
ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis (YouTube )CSE549 - Computational Biology - Steven Skiena - 2010 SBU 7.32 Systems Biology, Fall 2014 - MIT OCW 6.802J/ 6.874J Foundations of Computational and Systems Biology - MIT OCW 6.047/6.878 Machine Learning for Genomics Fall 2020 - MIT 6.874 MIT Deep Learning in Life Sciences - Spring 2021 - MIT 6.047/6.878 Public Lectures on Computational Biology: Genomes, Networks, Evolution - MIT Bio 84 - Your Genes and Your Health, Stanford University BioMedical Informatics 231 Computational Molecular Biology, Stanford University BioMedical Informatics 258 Genomics, Bioinformatics & Medicine, Stanford University 03-251: Introduction to Computational Molecular Biology - Carnegie Mellon University 03-712: Biological Modeling and Simulation - Carnegie Mellon University MOOC - Bioinformatics Algorithms: An Active Learning Approach - UC San Diego/Coursera Neural Networks and Biological Modeling - Lecturer: Prof. Wulfram Gerstner - EPFL Video Lectures of Wulfram Gerstner: Computational Neuroscience - EPFL An Introduction To Systems Biology Introduction to Bioinformatics, METUOpenCourseWare MOOC - Algorithms for DNA Sequencing, Coursera Frontiers of Biomedical Engineering with W. Mark Saltzman - Yale NOC:Computational Systems Biology - IIT Madras NOC:BioInformatics:Algorithms and Applications - IIT Madras
CS 223A - Introduction to Robotics, Stanford University 6.832 Underactuated Robotics - MIT OCW CS287 Advanced Robotics at UC Berkeley Fall 2019 -- Instructor: Pieter Abbeel CS 287 - Advanced Robotics, Fall 2011, UC Berkeley (Videos )CS235 - Applied Robot Design for Non-Robot-Designers - Stanford University Lecture: Visual Navigation for Flying Robots (YouTube )CS 205A: Mathematical Methods for Robotics, Vision, and Graphics (Fall 2013) Robotics 1, Prof. De Luca, Università di Roma (YouTube )Robotics 2, Prof. De Luca, Università di Roma (YouTube )Robot Mechanics and Control, SNU Introduction to Robotics Course - UNCC SLAM Lectures Introduction to Vision and Robotics 2015/16- University of Edinburgh ME 597 – Autonomous Mobile Robotics – Fall 2014 ME 780 – Perception For Autonomous Driving – Spring 2017 ME780 – Nonlinear State Estimation for Robotics and Computer Vision – Spring 2017 METR 4202/7202 -- Robotics & Automation - University of Queensland Robotics - IIT Bombay Introduction to Machine Vision 6.834J Cognitive Robotics - MIT OCW Hello (Real) World with ROS – Robot Operating System - TU Delft Programming for Robotics (ROS) - ETH Zurich Mechatronic System Design - TU Delft CS 206 Evolutionary Robotics Course Spring 2020 Foundations of Robotics - UTEC 2018-I Robotics - Youtube Robotics and Control: Theory and Practice IIT Roorkee Mechatronics ME142 - Mechatronics Spring 2020 - UC Merced Mobile Sensing and Robotics - Bonn University MSR2 - Sensors and State Estimation Course (2020) - Bonn University SLAM Course (2013) - Bonn University ENGR486 Robot Modeling and Control (2014W) Robotics by Prof. D K Pratihar - IIT Kharagpur Introduction to Mobile Robotics - SS 2019 - Universität Freiburg Robot Mapping - WS 2018/19 - Universität Freiburg Mechanism and Robot Kinematics - IIT Kharagpur Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn) Mobile Sensing and Robotics 1 – Part Stachniss (Jointly taught with PhoRS) - University of Bonn Mobile Sensing and Robotics 2 – Stachniss & Klingbeil/Holst - University of Bonn Aerial Robotics - University of Pennsylvania (UPenn) Modern Robotics - Northwestern University ROB 530 MOBILE ROBOTICS at U of Michigan - WINTER 2022 -- Instructor: Maani Ghaffari
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