bokken12.github.io/courses

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Course reviews and general thoughts here. Fall 2021 TA 15-451 07-300 Research and Innovation in Computer Science 11-711 Advanced Natural Language Processing 15-195 Competition Programming I 15-411 Compiler Design 15-854 Special Topics in Theory: Advanced Approximation Algorithms 15-859 Special Topics in Theory: Algorithms for Big Data Spring 2021 TA 15-251 10-315 Introduction to Machine Learning 15-259 Probability and Computing 15-260 Statistics and Computing 15-354 Computational Discrete Mathematics 15-451 Algorithm Design and Analysis 15-855 Graduate Computational Complexity Theory Fall 2020 TA 15-251 15-210 Parallel and Sequential Data Structures and Algorithms 15-213 Introduction to Computer Systems 15-356 Introduction to Cryptography 15-455 Unergraduate Complexity Theory 84-104 Decision Processes in American Political Institutions 98-317 Hype for Types Spring 2020 TA 15-122 15-150 Principles of Functional Programming 15-251 Great Ideas in Theoretical Computer Science 15-252 More Great Ideas in Theoretical Computer Science 15-281 Artificial Intelligence: Representation and Problem Solving 21-268 Multidimensional Calculus 80-100 Introduction to Philosophy Fall 2019 07-128 Freshman Immigration Course 07-131 Great Practical Ideas in Computer Science 15-051 Discrete Math Primer 15-122 Principles of Imperative Computation 15-151 Mathematical Foundations of Computer Science 16-161 Robotics Freshman Seminar: AI and Humanity 21-241 Matrices and Linear Transformations 76-101 Interpretation and Argument 99-101 Computing at Carnegie Mellon Formatting mostly stolen from here.



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https://bokken12.github.io/courses

Course reviews and general thoughts here. Fall 2021 TA 15-451 07-300 Research and Innovation in Computer Science 11-711 Advanced Natural Language Processing 15-195 Competition Programming I 15-411 Compiler Design 15-854 Special Topics in Theory: Advanced Approximation Algorithms 15-859 Special Topics in Theory: Algorithms for Big Data Spring 2021 TA 15-251 10-315 Introduction to Machine Learning 15-259 Probability and Computing 15-260 Statistics and Computing 15-354 Computational Discrete Mathematics 15-451 Algorithm Design and Analysis 15-855 Graduate Computational Complexity Theory Fall 2020 TA 15-251 15-210 Parallel and Sequential Data Structures and Algorithms 15-213 Introduction to Computer Systems 15-356 Introduction to Cryptography 15-455 Unergraduate Complexity Theory 84-104 Decision Processes in American Political Institutions 98-317 Hype for Types Spring 2020 TA 15-122 15-150 Principles of Functional Programming 15-251 Great Ideas in Theoretical Computer Science 15-252 More Great Ideas in Theoretical Computer Science 15-281 Artificial Intelligence: Representation and Problem Solving 21-268 Multidimensional Calculus 80-100 Introduction to Philosophy Fall 2019 07-128 Freshman Immigration Course 07-131 Great Practical Ideas in Computer Science 15-051 Discrete Math Primer 15-122 Principles of Imperative Computation 15-151 Mathematical Foundations of Computer Science 16-161 Robotics Freshman Seminar: AI and Humanity 21-241 Matrices and Linear Transformations 76-101 Interpretation and Argument 99-101 Computing at Carnegie Mellon Formatting mostly stolen from here.



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https://bokken12.github.io/courses

Courses

Course reviews and general thoughts here. Fall 2021 TA 15-451 07-300 Research and Innovation in Computer Science 11-711 Advanced Natural Language Processing 15-195 Competition Programming I 15-411 Compiler Design 15-854 Special Topics in Theory: Advanced Approximation Algorithms 15-859 Special Topics in Theory: Algorithms for Big Data Spring 2021 TA 15-251 10-315 Introduction to Machine Learning 15-259 Probability and Computing 15-260 Statistics and Computing 15-354 Computational Discrete Mathematics 15-451 Algorithm Design and Analysis 15-855 Graduate Computational Complexity Theory Fall 2020 TA 15-251 15-210 Parallel and Sequential Data Structures and Algorithms 15-213 Introduction to Computer Systems 15-356 Introduction to Cryptography 15-455 Unergraduate Complexity Theory 84-104 Decision Processes in American Political Institutions 98-317 Hype for Types Spring 2020 TA 15-122 15-150 Principles of Functional Programming 15-251 Great Ideas in Theoretical Computer Science 15-252 More Great Ideas in Theoretical Computer Science 15-281 Artificial Intelligence: Representation and Problem Solving 21-268 Multidimensional Calculus 80-100 Introduction to Philosophy Fall 2019 07-128 Freshman Immigration Course 07-131 Great Practical Ideas in Computer Science 15-051 Discrete Math Primer 15-122 Principles of Imperative Computation 15-151 Mathematical Foundations of Computer Science 16-161 Robotics Freshman Seminar: AI and Humanity 21-241 Matrices and Linear Transformations 76-101 Interpretation and Argument 99-101 Computing at Carnegie Mellon Formatting mostly stolen from here.

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      Course reviews and general thoughts here. Fall 2021 TA 15-451 07-300 Research and Innovation in Computer Science 11-711 Advanced Natural Language Processing 15-195 Competition Programming I 15-411 Compiler Design 15-854 Special Topics in Theory: Advanced Approximation Algorithms 15-859 Special Topics in Theory: Algorithms for Big Data Spring 2021 TA 15-251 10-315 Introduction to Machine Learning 15-259 Probability and Computing 15-260 Statistics and Computing 15-354 Computational Discrete Mathematics 15-451 Algorithm Design and Analysis 15-855 Graduate Computational Complexity Theory Fall 2020 TA 15-251 15-210 Parallel and Sequential Data Structures and Algorithms 15-213 Introduction to Computer Systems 15-356 Introduction to Cryptography 15-455 Unergraduate Complexity Theory 84-104 Decision Processes in American Political Institutions 98-317 Hype for Types Spring 2020 TA 15-122 15-150 Principles of Functional Programming 15-251 Great Ideas in Theoretical Computer Science 15-252 More Great Ideas in Theoretical Computer Science 15-281 Artificial Intelligence: Representation and Problem Solving 21-268 Multidimensional Calculus 80-100 Introduction to Philosophy Fall 2019 07-128 Freshman Immigration Course 07-131 Great Practical Ideas in Computer Science 15-051 Discrete Math Primer 15-122 Principles of Imperative Computation 15-151 Mathematical Foundations of Computer Science 16-161 Robotics Freshman Seminar: AI and Humanity 21-241 Matrices and Linear Transformations 76-101 Interpretation and Argument 99-101 Computing at Carnegie Mellon Formatting mostly stolen from here.
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      Course reviews and general thoughts here. Fall 2021 TA 15-451 07-300 Research and Innovation in Computer Science 11-711 Advanced Natural Language Processing 15-195 Competition Programming I 15-411 Compiler Design 15-854 Special Topics in Theory: Advanced Approximation Algorithms 15-859 Special Topics in Theory: Algorithms for Big Data Spring 2021 TA 15-251 10-315 Introduction to Machine Learning 15-259 Probability and Computing 15-260 Statistics and Computing 15-354 Computational Discrete Mathematics 15-451 Algorithm Design and Analysis 15-855 Graduate Computational Complexity Theory Fall 2020 TA 15-251 15-210 Parallel and Sequential Data Structures and Algorithms 15-213 Introduction to Computer Systems 15-356 Introduction to Cryptography 15-455 Unergraduate Complexity Theory 84-104 Decision Processes in American Political Institutions 98-317 Hype for Types Spring 2020 TA 15-122 15-150 Principles of Functional Programming 15-251 Great Ideas in Theoretical Computer Science 15-252 More Great Ideas in Theoretical Computer Science 15-281 Artificial Intelligence: Representation and Problem Solving 21-268 Multidimensional Calculus 80-100 Introduction to Philosophy Fall 2019 07-128 Freshman Immigration Course 07-131 Great Practical Ideas in Computer Science 15-051 Discrete Math Primer 15-122 Principles of Imperative Computation 15-151 Mathematical Foundations of Computer Science 16-161 Robotics Freshman Seminar: AI and Humanity 21-241 Matrices and Linear Transformations 76-101 Interpretation and Argument 99-101 Computing at Carnegie Mellon Formatting mostly stolen from here.
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      Course reviews and general thoughts here. Fall 2021 TA 15-451 07-300 Research and Innovation in Computer Science 11-711 Advanced Natural Language Processing 15-195 Competition Programming I 15-411 Compiler Design 15-854 Special Topics in Theory: Advanced Approximation Algorithms 15-859 Special Topics in Theory: Algorithms for Big Data Spring 2021 TA 15-251 10-315 Introduction to Machine Learning 15-259 Probability and Computing 15-260 Statistics and Computing 15-354 Computational Discrete Mathematics 15-451 Algorithm Design and Analysis 15-855 Graduate Computational Complexity Theory Fall 2020 TA 15-251 15-210 Parallel and Sequential Data Structures and Algorithms 15-213 Introduction to Computer Systems 15-356 Introduction to Cryptography 15-455 Unergraduate Complexity Theory 84-104 Decision Processes in American Political Institutions 98-317 Hype for Types Spring 2020 TA 15-122 15-150 Principles of Functional Programming 15-251 Great Ideas in Theoretical Computer Science 15-252 More Great Ideas in Theoretical Computer Science 15-281 Artificial Intelligence: Representation and Problem Solving 21-268 Multidimensional Calculus 80-100 Introduction to Philosophy Fall 2019 07-128 Freshman Immigration Course 07-131 Great Practical Ideas in Computer Science 15-051 Discrete Math Primer 15-122 Principles of Imperative Computation 15-151 Mathematical Foundations of Computer Science 16-161 Robotics Freshman Seminar: AI and Humanity 21-241 Matrices and Linear Transformations 76-101 Interpretation and Argument 99-101 Computing at Carnegie Mellon Formatting mostly stolen from here.
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