Teaching

I regularly taught the following courses.

• Artificial Intelligence [undergraduate] [Spring17, Fall17, Fall18, Spring19, Fall19]
  • Search Algorithms, Constraint Satisfaction Problems, Logic, Learning (Classification, Regression, Clustering), Neural Networks
• Advanced Machine Learning [graduate][Spring18,Fall19]
  • Regression, Classification, Bias-Variance Analysis, Gradient Descent Algorithm, Generalization, Regularization, Max-margin Classifiers, Clustering, Dimensionality Reduction, Neural Networks, Deep Learning
• Data Mining and Pattern Analysis [graduate][Spring19]
  • Data Preprocessing and Analysis, Itemset Mining (Association Rules, frequent Pattern Mining, Market Basket Analysis, Apriori algorithm, FP-growth algorithm), Sequential Pattern Mining, Textual Pattern Mining
• Information Retrieval and Web Search [graduate][Fall18]
  • Indexing (Index Construction and Compression), Vector Space Models, Relevance Feedback and Query Expansion, Web Crawling and Indexing, Link Analysis
• Computer Architecture [undergraduate][Fall17,Fall18,Fall19]
  • Performance Measures, Instruction Set Architecture, Processor Design, Instruction-level Parallelism, Memory Management

I organized and conducted workshops on the following topics.

• Introduction to Machine Learning - Regression Analysis and Classification at Forman Christian College (A Chartered University), Pakistan
• Applications of Machine Learning and Data Analytics at Forman Christian College (A Chartered University), Pakistan