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    START HERE: Course Overview START HERE: Course Overview
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    RESOURCES: Course Materials RESOURCES: Course Materials
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    How to Be Successful in This Course How to Be Successful in This Course
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    Technical Support Technical Support
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  • Discussion Topic
    DISCUSSION A: Experiences and Expectations DISCUSSION A: Experiences and Expectations
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  • Discussion Topic
    DISCUSSION B: Course Help Board DISCUSSION B: Course Help Board
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Week 1: Introduction/Course Overview: Types of Data (numeric, categorical, text, time series, etc.)

Week 1: Introduction/Course Overview: Types of Data (numeric, categorical, text, time series, etc.)
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Week 1: Introduction/Course Overview: Types of Data (numeric, categorical, text, time series, etc.) 535205  
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    INTRODUCTION 1: Introduction/Course Overview: Types of Data (numeric, categorical, text, time series, etc.) INTRODUCTION 1: Introduction/Course Overview: Types of Data (numeric, categorical, text, time series, etc.)
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    LECTURE 1: Introduction: Types of Data LECTURE 1: Introduction: Types of Data
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 1.pdf DSA 3013 Lecture 1.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 2: Supervised Learning - Classification with Trees and Forests

Week 2: Supervised Learning - Classification with Trees and Forests
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Week 2: Supervised Learning - Classification with Trees and Forests 535206  
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    INTRODUCTION 2: Supervised Learning - Classification with Trees and Forests INTRODUCTION 2: Supervised Learning - Classification with Trees and Forests
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    LECTURE 2: Supervised Learning - Classification with Trees and Forests LECTURE 2: Supervised Learning - Classification with Trees and Forests
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 2.pdf DSA 3013 Lecture 2.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs)

Week 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs)
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Week 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs) 535207  
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    INTRODUCTION 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs) INTRODUCTION 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs)
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    LECTURE 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs) LECTURE 3: Supervised Learning - Classification with Artificial Neural Networks (ANNs)
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 3.pdf DSA 3013 Lecture 3.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • External Url
    SURVEY: Early Course Feedback SURVEY: Early Course Feedback
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 4: Supervised Learning - Classification with Deep ANNs

Week 4: Supervised Learning - Classification with Deep ANNs
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Week 4: Supervised Learning - Classification with Deep ANNs 535208  
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    INTRODUCTION 4: Supervised Learning - Classification with Deep ANNs Copy INTRODUCTION 4: Supervised Learning - Classification with Deep ANNs Copy
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    LECTURE 4: Supervised Learning - Classification with Deep ANNs LECTURE 4: Supervised Learning - Classification with Deep ANNs
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Assignment
    Homework 1 Homework 1
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 4.pdf DSA 3013 Lecture 4.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 5: Supervised Learning - Regression with Statistical Methods

Week 5: Supervised Learning - Regression with Statistical Methods
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Week 5: Supervised Learning - Regression with Statistical Methods 535209  
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    INTRODUCTION 5: Supervised Learning - Regression with Statistical Methods INTRODUCTION 5: Supervised Learning - Regression with Statistical Methods
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Page
    LECTURE 5: Supervised Learning - Regression with Statistical Methods LECTURE 5: Supervised Learning - Regression with Statistical Methods
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 5.pdf DSA 3013 Lecture 5.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 6: Midterm 1 Review and Midterm 1 Exam

Week 6: Midterm 1 Review and Midterm 1 Exam
Module Completed Module In Progress Module Locked
Week 6: Midterm 1 Review and Midterm 1 Exam 542653  

Week 7: Supervised Learning - Convolutional Neural Network

Week 7: Supervised Learning - Convolutional Neural Network
Module Completed Module In Progress Module Locked
Week 7: Supervised Learning - Convolutional Neural Network 535210  
  • Page
    INTRODUCTION 7: Supervised Learning - Convolutional Neural Network INTRODUCTION 7: Supervised Learning - Convolutional Neural Network
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Page
    LECTURE 6: Supervised Learning - Convolutional Neural Network LECTURE 6: Supervised Learning - Convolutional Neural Network
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 6.pdf DSA 3013 Lecture 6.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 8: Supervised Learning - Long-short Term Memory Network

Week 8: Supervised Learning - Long-short Term Memory Network
Module Completed Module In Progress Module Locked
Week 8: Supervised Learning - Long-short Term Memory Network 535211  
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    INTRODUCTION 8: Supervised Learning - Long-short Term Memory Network INTRODUCTION 8: Supervised Learning - Long-short Term Memory Network
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Page
    LECTURE 7: Supervised Learning - Long-short Term Memory Network LECTURE 7: Supervised Learning - Long-short Term Memory Network
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 7.pdf DSA 3013 Lecture 7.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 9: Supervised Learning - Applications to Time Series Data

Week 9: Supervised Learning - Applications to Time Series Data
Module Completed Module In Progress Module Locked
Week 9: Supervised Learning - Applications to Time Series Data 535212  
  • Page
    INTRODUCTION 9: Supervised Learning - Applications to Time Series Data INTRODUCTION 9: Supervised Learning - Applications to Time Series Data
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Page
    LECTURE 8: Supervised Learning - Applications to Time Series Data LECTURE 8: Supervised Learning - Applications to Time Series Data
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 8.pdf DSA 3013 Lecture 8.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Assignment
    Homework 2 Homework 2
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 10: Midterm 2

Week 10: Midterm 2
Module Completed Module In Progress Module Locked
Week 10: Midterm 2 542672  

Week 11: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc.

Week 11: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc.
Module Completed Module In Progress Module Locked
Week 11: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc. 535213  
  • Page
    INTRODUCTION 11: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc. INTRODUCTION 11: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc.
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Page
    LECTURE 9: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc. LECTURE 9: Unsupervised Learning - Clustering with K-Means, DBSCAN, etc.
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 9.pdf DSA 3013 Lecture 9.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 12: Introduction to RL and Deep Q Networks

Week 12: Introduction to RL and Deep Q Networks
Module Completed Module In Progress Module Locked
Week 12: Introduction to RL and Deep Q Networks 535214  
  • Page
    INTRODUCTION 12: Introduction to RL and Deep Q Networks INTRODUCTION 12: Introduction to RL and Deep Q Networks
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Page
    LECTURE 10: Introduction to RL and Deep Q Networks LECTURE 10: Introduction to RL and Deep Q Networks
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Attachment
    DSA 3013 Lecture 10.pdf DSA 3013 Lecture 10.pdf
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 13: Machine Learning in Other Domains

Week 13: Machine Learning in Other Domains
Module Completed Module In Progress Module Locked
Week 13: Machine Learning in Other Domains 535219  
  • Page
    INTRODUCTION 13: Machine Learning in Other Domains INTRODUCTION 13: Machine Learning in Other Domains
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   Score at least  % Must score at least  % to complete this module item Scored at least  % Module item has been completed by scoring at least  % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Week 14: Final Exam

Week 14: Final Exam
Module Completed Module In Progress Module Locked
Week 14: Final Exam 535220  
 
minimum score must view must submit must contribute