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Courses Taken

Graduate Level

During PhD at Carnegie Mellon University

  • 10-701 Machine Learning
  • 10-707 Information Extraction
  • 11-711 Algorithms for NLP
  • 11-732 Self-Paced Lab for MT
  • 11-741 Information Retrieval
  • 11-742 Self-Paced Lab for Information Retrieval
  • 11-761 Language and Statistics

During MSc at Sabanci University

  • CS 501 Advance Data Structures & Algorithms
  • CS 512 Machine Learning
  • CS 513 Topics in Natural Language Processing
  • CS 525 Data Mining
  • CS 581 Web Data Management
  • CS 611 Advanced Topics in AI
  • BIO 610 Computational Genome Analysis
  • ENS 505 Methods of Statistical Inference

Undergraduate Level

  • CS 201 Introduction to Computing
  • CS 202 Data Structures
  • CS 204 Advanced Programming
  • CS 301 Algorithms
  • CS 302 Formal Languages & Automata Theory
  • CS 303 Logic & Digital Systems
  • CS 305 Programming Languages
  • CS 306 Database Systems
  • CS 308 Software Engineering
  • CS 307 Operating Systems
  • CS 402 Compiler Design
  • CS 404 Artificial Intelligence
  • CS 408 Computer Networks
  • BIO 310 Introduction to Bioinformatics
  • ENS 210 Computational Biology
  • MATH 201 Linear Algebra
  • MATH 202 Differential Equations
  • MATH 203 Introduction to Probability & Statistics
  • MATH 204 Discrete Mathematics