Qualitative Coding of Software Engineering Artifacts, Case Study Research, Natural Language Processing Pipeline,  Information Extraction and Classification, Clustering, Supervised Machine Learning, Quantitative Evaluation of NLP and ML Techniques, Deep Learning, Word Embeddings, Transformers, Prompt Engineering.

Documents

Lecture Notes and Assignments

Lecture slides, assignments and all associated artifacts will be made available on BrightSpace. 

Questions and Discussions

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Lecture Plan

September 9: 

• Orientation (Introduction and Practical Matters)

September 16:

• Empirical Software Engineering (Case Studies, Qualitative Methods)

• Background Reading:

  • Experimentation in Software Engineering (Chapter 2: Empirical Strategies)

  • Guidelines for conducting and reporting case study research in software engineering

  • The Coding Manual for Qualitative Researchers (Chapter 1: An Introduction to Codes and Coding)

September 23:

• Empirical Software Engineering (Quantitative Methods)

• Background Reading: 

  • • Experimentation in Software Engineering (Chapter 10: Analysis and Interpretation)

September 30:

• Natural Language Processing Pipeline

October 07:

• Clustering

  • Background  Reading:

    • Chapter 7 (Cluster Analysis: Basic Concepts and Algorithms) from Introduction to Data Mining (2nd Ed.)

October 14:

• Reading Week (No class)

October 21:

• Machine Learning (A Whirlwind Tour, Input, Output)

• Background Reading:

  • • • Chapters 1-4 of Data Mining: Practical Machine Learning Tools and Techniques

October 28:

• Deep Learning (Part 1) - Guest Lecture by Mo H. Amini

November 04:

• Deep Learning  (Part 2) - Guest Lecture by Mo H. Amini

• Evaluation of Machine Learning Techniques

• Background  Reading:

• • • Chapters 5 of Data Mining: Practical Machine Learning Tools and Techniques

November 11:

• Prompt Engineering

November 18:

• No class (Prof. away at a conference)

November 25:

• Seminars

  • Schedule to be announced.

December 02:

• Seminars

  • Schedule to be announced.