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